Max Planck Summer Internship Program
International Max Planck Research School for Molecular Life Sciences: From Biological Structures to Neural Circuits München-Martinsried
Our Summer Internship Program provides the opportunity for highly motivated undergraduate students to join one of the labs at the Max Planck Institute of Neurobiology and the Max Planck Institute of Biochemistry. The program will allow you to become familiar with different scientific approaches and laboratory methods. The aim of our internship program is to provide excellent students with a broad range of research experiences and knowledge to promote them early on in their careers.
The Max Planck Institute of Biochemistry and the Max Planck Institute of Neurobiology are located door-to-door at the life science campus Martinsried. The working language at both institutes is English.
The Campus Martinsried lies at the outskirts of Munich, not far away from the Bavarian Alps.
Activities and responsibilities
You can indicate up to five of our research groups you prefer to work with. Your research will be in fields ranging from structural, computational, developmental and cellular biology to molecular biology, biophysics and neurobiology. For more information on our research groups, please visit research groups of MPI of Neurobiology and research groups of MPI of Biochemistry.
The following groups have already indicated that they will accept interns in 2020: Conti, Cox, Griesbeck, Baier, Murray and Schwille. Applicants are encouraged to include these groups in their application to increase their chances, but should also indicate what other groups may be of interest to them.
Qualification profile
Highly motivated bachelor’s and master’s students in Biology, Chemistry, Physics, Computer Science, Engineering, Math, Psychology and related fields can apply.
We highly encourage applications from excellent students from all countries. We are happy to assist successful applicants with questions concerning visa requirements.
We offer
This is a fully-funded internship program. Successful applicants will benefit from the following:
Free student accommodation
Stipend of approximately 800 Euro per month
Reimbursement of travel costs to and from Martinsried
The internship is a full-time immersion for up to ten weeks. It takes place between mid-June to end-September. Within this framework, the starting date and duration of the internship
is determined by mutual agreement between the host lab and the student.
During your internship, you will be a full member of the institutes with the ability to join numerous social activities such as lab parties, hikes, sports groups, PhD activities, the institutes’ summer parties, in-house lectures and much more.
✔️ @ApplyTime
International Max Planck Research School for Molecular Life Sciences: From Biological Structures to Neural Circuits München-Martinsried
Our Summer Internship Program provides the opportunity for highly motivated undergraduate students to join one of the labs at the Max Planck Institute of Neurobiology and the Max Planck Institute of Biochemistry. The program will allow you to become familiar with different scientific approaches and laboratory methods. The aim of our internship program is to provide excellent students with a broad range of research experiences and knowledge to promote them early on in their careers.
The Max Planck Institute of Biochemistry and the Max Planck Institute of Neurobiology are located door-to-door at the life science campus Martinsried. The working language at both institutes is English.
The Campus Martinsried lies at the outskirts of Munich, not far away from the Bavarian Alps.
Activities and responsibilities
You can indicate up to five of our research groups you prefer to work with. Your research will be in fields ranging from structural, computational, developmental and cellular biology to molecular biology, biophysics and neurobiology. For more information on our research groups, please visit research groups of MPI of Neurobiology and research groups of MPI of Biochemistry.
The following groups have already indicated that they will accept interns in 2020: Conti, Cox, Griesbeck, Baier, Murray and Schwille. Applicants are encouraged to include these groups in their application to increase their chances, but should also indicate what other groups may be of interest to them.
Qualification profile
Highly motivated bachelor’s and master’s students in Biology, Chemistry, Physics, Computer Science, Engineering, Math, Psychology and related fields can apply.
We highly encourage applications from excellent students from all countries. We are happy to assist successful applicants with questions concerning visa requirements.
We offer
This is a fully-funded internship program. Successful applicants will benefit from the following:
Free student accommodation
Stipend of approximately 800 Euro per month
Reimbursement of travel costs to and from Martinsried
The internship is a full-time immersion for up to ten weeks. It takes place between mid-June to end-September. Within this framework, the starting date and duration of the internship
is determined by mutual agreement between the host lab and the student.
During your internship, you will be a full member of the institutes with the ability to join numerous social activities such as lab parties, hikes, sports groups, PhD activities, the institutes’ summer parties, in-house lectures and much more.
✔️ @ApplyTime
At the Institute of Toxicology at the Medical Faculty of the Heinrich Heine University a postdoc position (TV-L13; 100 %) in the field of molecular and genetic toxicology/pharmacology is available. The vacant position is funded for three years by the Deutsche Forschungsgemeinschaft (DFG) and can be filled immediately. The contract will be with the Heinrich-Heine-University Duesseldorf (HHU).
Postdoc Position
(HHU Düsseldorf, Germany)
Job description: The translational research project aims to characterize the pathophysiological relevance of the Ras-homologous small GTPase Rac1 for the dose limiting and tissue specific adverse effects of the anticancer drugs cisplatin and doxorubicin as well as ionizing radiation. This conventional anticancer therapeutics are used as first line treatments in the therapy of numerous malignancies. As nephrotoxicity, cardiotoxicity and lung toxicity are some major dose-limiting adverse effect of these agents, the development of preventive strategies is highly desirable. The aim of the DFG supported project is to genetically validate Rac1 as a therapeutic target in order to widen the therapeutic window of the aforementioned anticancer therapeutics, thereby improving both the therapeutic efficacy of anticancer therapy and the quality of life of cancer patients. To this end transgenic mouse models that are characterized by ubiquitous or cell-type specific deletion of rac1 will be employed for a detailed analysis of their response to radio-chemotherapy.
Qualifications: PhD in the field of biology, biochemistry, cell biology, toxicology/pharmacology or related scientific domain. Strong theoretical background in molecular and cellular biology and genetic toxicology/pharmacology are required. Disposition to perform animal experiments is essential and hands-on experience with animal models would be preferable.
Applications including letter of motivation, Curriculum vitae, certificates, list of publications and the name of two references should be sent to: (Deadline: February 06th, 2020).
Electronic applications (single pdf-file) are encouraged. In case the applicant sends printed documents, he/she agrees that these documents become property of the HHU and will not be returned for reasons of costs. The documents will be destroyed after the recruitment process.
Applications from female scientists are explicitly encouraged and will be given preference in case of equal aptitude, ability and professional achievements unless there are exceptional reasons for choosing another applicant. Applications from equably qualified disabled persons will be given preference. Applications including letter of motivation, Curriculum vitae, certificates, list of publications and the name of two references should be submitted within 2 weeks after publication of this advertisement to the following address:
Universitätsklinikum Düsseldorf
D 01.2.1 – Kennziffer: 531E/19, Moorenstr. 5, 40225 Düsseldorf
bewerbungen@med.uni-duesseldorf.de
✔️ @ApplyTime
Postdoc Position
(HHU Düsseldorf, Germany)
Job description: The translational research project aims to characterize the pathophysiological relevance of the Ras-homologous small GTPase Rac1 for the dose limiting and tissue specific adverse effects of the anticancer drugs cisplatin and doxorubicin as well as ionizing radiation. This conventional anticancer therapeutics are used as first line treatments in the therapy of numerous malignancies. As nephrotoxicity, cardiotoxicity and lung toxicity are some major dose-limiting adverse effect of these agents, the development of preventive strategies is highly desirable. The aim of the DFG supported project is to genetically validate Rac1 as a therapeutic target in order to widen the therapeutic window of the aforementioned anticancer therapeutics, thereby improving both the therapeutic efficacy of anticancer therapy and the quality of life of cancer patients. To this end transgenic mouse models that are characterized by ubiquitous or cell-type specific deletion of rac1 will be employed for a detailed analysis of their response to radio-chemotherapy.
Qualifications: PhD in the field of biology, biochemistry, cell biology, toxicology/pharmacology or related scientific domain. Strong theoretical background in molecular and cellular biology and genetic toxicology/pharmacology are required. Disposition to perform animal experiments is essential and hands-on experience with animal models would be preferable.
Applications including letter of motivation, Curriculum vitae, certificates, list of publications and the name of two references should be sent to: (Deadline: February 06th, 2020).
Electronic applications (single pdf-file) are encouraged. In case the applicant sends printed documents, he/she agrees that these documents become property of the HHU and will not be returned for reasons of costs. The documents will be destroyed after the recruitment process.
Applications from female scientists are explicitly encouraged and will be given preference in case of equal aptitude, ability and professional achievements unless there are exceptional reasons for choosing another applicant. Applications from equably qualified disabled persons will be given preference. Applications including letter of motivation, Curriculum vitae, certificates, list of publications and the name of two references should be submitted within 2 weeks after publication of this advertisement to the following address:
Universitätsklinikum Düsseldorf
D 01.2.1 – Kennziffer: 531E/19, Moorenstr. 5, 40225 Düsseldorf
bewerbungen@med.uni-duesseldorf.de
✔️ @ApplyTime
Postdoctoral Researcher on Social Inequalities in Health - DEADLINE 3 February
The Faculty of Social Sciences is Finland’s leading research and education institute in the social sciences, and the country’s most diverse social sciences faculty in terms of the range of its disciplines and fields of research. The Faculty has a strong international research profile and international Master’s programmes, and several of its disciplinary units have been rated among the top 50 in the world. The Faculty has a research and teaching staff of approximately 450, and each year it awards some 350 Bachelor’s degrees, 400 Master’s degrees and more than 40 doctoral degrees. We are an equal opportunity employer and offer an attractive and diverse workplace in an inspiring environment with a variety of development opportunities and benefits. For more information, please see the Faculty website at www.helsinki.fi/socialsciences/.
The Faculty of Social Sciences invites applications for the position of Postdoctoral Researcher on Social Inequalities in Health for a three-year, full-time, fixed-term period from 1 April 2020 onwards (or starting point as agreed).
The position of postdoctoral researcher is typically held for three to five years after the completion of a doctoral degree. The aim of the position is to encourage the appointee to further their skills and gain more experience to prepare them for an academic career.
The successful applicant will work in the Population Research Unit under the supervision of Professor Karri Silventoinen. The position will be located at the Faculty of Social Sciences and is closely related to Helsinki Inequality Initiative (INEQ).
The appointee will work with high quality survey and register based data sets from Finland and other countries and is expected to publish the results in top level international peer reviewed scientific journals.
Qualifications
The candidate needs to hold a doctoral degree in a suitable field such as Demography, quantitative Sociology/Social policy/Social Psychology, Epidemiology/Public Health or Statistics. The work requires excellent knowledge of statistical methods, experience on working with large scale quantitative data sets, publishing in international scientific journals as well as good academic writing and communication skills in English. The duties of the postdoctoral researcher include teaching for the Faculty of Social Sciences (5% of the annual workload).
The research should be focused on socio-economic health inequalities using quantitative data. We especially appreciate experience in one or several of the following fields of study:
Genetic epidemiology (GWAS and/or genetic twin research)
Register based health research
International comparisons of health related issues focused on affluent societies
More information
✔️ @ApplyTime
The Faculty of Social Sciences is Finland’s leading research and education institute in the social sciences, and the country’s most diverse social sciences faculty in terms of the range of its disciplines and fields of research. The Faculty has a strong international research profile and international Master’s programmes, and several of its disciplinary units have been rated among the top 50 in the world. The Faculty has a research and teaching staff of approximately 450, and each year it awards some 350 Bachelor’s degrees, 400 Master’s degrees and more than 40 doctoral degrees. We are an equal opportunity employer and offer an attractive and diverse workplace in an inspiring environment with a variety of development opportunities and benefits. For more information, please see the Faculty website at www.helsinki.fi/socialsciences/.
The Faculty of Social Sciences invites applications for the position of Postdoctoral Researcher on Social Inequalities in Health for a three-year, full-time, fixed-term period from 1 April 2020 onwards (or starting point as agreed).
The position of postdoctoral researcher is typically held for three to five years after the completion of a doctoral degree. The aim of the position is to encourage the appointee to further their skills and gain more experience to prepare them for an academic career.
The successful applicant will work in the Population Research Unit under the supervision of Professor Karri Silventoinen. The position will be located at the Faculty of Social Sciences and is closely related to Helsinki Inequality Initiative (INEQ).
The appointee will work with high quality survey and register based data sets from Finland and other countries and is expected to publish the results in top level international peer reviewed scientific journals.
Qualifications
The candidate needs to hold a doctoral degree in a suitable field such as Demography, quantitative Sociology/Social policy/Social Psychology, Epidemiology/Public Health or Statistics. The work requires excellent knowledge of statistical methods, experience on working with large scale quantitative data sets, publishing in international scientific journals as well as good academic writing and communication skills in English. The duties of the postdoctoral researcher include teaching for the Faculty of Social Sciences (5% of the annual workload).
The research should be focused on socio-economic health inequalities using quantitative data. We especially appreciate experience in one or several of the following fields of study:
Genetic epidemiology (GWAS and/or genetic twin research)
Register based health research
International comparisons of health related issues focused on affluent societies
More information
✔️ @ApplyTime
University of Helsinki
Faculty of Social Sciences | University of Helsinki
The Faculty of Social Sciences examines society. We educate experts who understand social phenomena and can place them in a historical and social context.
European Doctoral School of Demography - DEADLINE 15 April
The EDSD is an eleven-month sponsored program that is offered every year aiming to provide students with an appropriate high-level education in demography to pursue their doctoral studies. Students will acquire a solid knowledge base on the causes and consequences of demographic change, population data, statistical and mathematical demography, as well as modeling, simulation, and forecasting. The School’s courses are structured in such a way that the students work on the precise formulation of a thesis topic and early steps of their dissertations. Many of the School’s courses concentrate on strengthening the quantitative and programming skills of the students. The language of the School is English.
In the 2020/21 academic year, the School will be held at two different locations. The preparatory courses (from early September to late October 2020) will be offered at the Max Planck Institute for Demographic Research in Rostock, Germany. The core courses (from November 2020 until end of July 2021) will be held at the Centre for Demographic Studies (Centre d’Estudis Demogràfics – CED) at the Universitat Autònoma de Barcelona, Spain.
Master’s Degree in Demography
Upon successful completion of the program and presentation of a thesis, the students enrolled in the EDSD will receive an official European Master in Demography delivered by the Universitat Autònoma de Barcelona.
Contact information: edsd@ced.uab.es
COURSES
Preparatory courses in Rostock
The courses in Rostock consists of (1) Measures and Models in Demography, (2) Basic Mathematics for Demographers, (3) Basic Statistics for Demographers and (4) Computer Programming for Demographers.
The aim of the preparatory courses is to prepare the students for the core courses at CED in Barcelona.
Core courses in Barcelona
The program at CED consists of six courses on (1) Population Data and Science, (2) Demographic Theories, (3) Statistical Demography, (4) Current Population Issues, (5) Mathematical Demography and (6) Demographic Modeling, Simulation, and Forecasting. In addition, computer, graphic and presentation skills are taught. Students devote 20% of their time to thesis research.
Student will be also offered the opportunity to attend CED’s Social statistics and Population Seminars held weekly.
How to Apply
To be eligible for admission to the program, a student should hold a Master’s degree in demography, mathematics, statistics, public health, economics, sociology, geography, biology, computer science, history or another relevant field. Students enrolled in a Master’s degree can apply, but they are expected to have completed it and be in possession of the official title before the beginning of the EDSD program (in case of being accepted). At the time of application, students may, or may not be enrolled in a PhD program. Students participating in the EDSD without being enrolled in a PhD program are expected to enroll for such a program while doing the EDSD or immediately after.
Participants must have a curious mind and a deep interest in demography and population development either of humans or of species across the tree of life, and a demonstrable competence in English. EU citizens must have a valid European Health Insurance Card (EHIC) for the duration of the program. In case of being selected as a successful candidate, non-EU citizens will have to apply for student visa in the Spanish embassy in their country of origin.
Application deadline is April 15, 2020 for start date in Sept 2020. Successful candidates will be announced in June 2020.
To apply e-mail the following documents to edsd@ced.uab.es:
The EDSD is an eleven-month sponsored program that is offered every year aiming to provide students with an appropriate high-level education in demography to pursue their doctoral studies. Students will acquire a solid knowledge base on the causes and consequences of demographic change, population data, statistical and mathematical demography, as well as modeling, simulation, and forecasting. The School’s courses are structured in such a way that the students work on the precise formulation of a thesis topic and early steps of their dissertations. Many of the School’s courses concentrate on strengthening the quantitative and programming skills of the students. The language of the School is English.
In the 2020/21 academic year, the School will be held at two different locations. The preparatory courses (from early September to late October 2020) will be offered at the Max Planck Institute for Demographic Research in Rostock, Germany. The core courses (from November 2020 until end of July 2021) will be held at the Centre for Demographic Studies (Centre d’Estudis Demogràfics – CED) at the Universitat Autònoma de Barcelona, Spain.
Master’s Degree in Demography
Upon successful completion of the program and presentation of a thesis, the students enrolled in the EDSD will receive an official European Master in Demography delivered by the Universitat Autònoma de Barcelona.
Contact information: edsd@ced.uab.es
COURSES
Preparatory courses in Rostock
The courses in Rostock consists of (1) Measures and Models in Demography, (2) Basic Mathematics for Demographers, (3) Basic Statistics for Demographers and (4) Computer Programming for Demographers.
The aim of the preparatory courses is to prepare the students for the core courses at CED in Barcelona.
Core courses in Barcelona
The program at CED consists of six courses on (1) Population Data and Science, (2) Demographic Theories, (3) Statistical Demography, (4) Current Population Issues, (5) Mathematical Demography and (6) Demographic Modeling, Simulation, and Forecasting. In addition, computer, graphic and presentation skills are taught. Students devote 20% of their time to thesis research.
Student will be also offered the opportunity to attend CED’s Social statistics and Population Seminars held weekly.
How to Apply
To be eligible for admission to the program, a student should hold a Master’s degree in demography, mathematics, statistics, public health, economics, sociology, geography, biology, computer science, history or another relevant field. Students enrolled in a Master’s degree can apply, but they are expected to have completed it and be in possession of the official title before the beginning of the EDSD program (in case of being accepted). At the time of application, students may, or may not be enrolled in a PhD program. Students participating in the EDSD without being enrolled in a PhD program are expected to enroll for such a program while doing the EDSD or immediately after.
Participants must have a curious mind and a deep interest in demography and population development either of humans or of species across the tree of life, and a demonstrable competence in English. EU citizens must have a valid European Health Insurance Card (EHIC) for the duration of the program. In case of being selected as a successful candidate, non-EU citizens will have to apply for student visa in the Spanish embassy in their country of origin.
Application deadline is April 15, 2020 for start date in Sept 2020. Successful candidates will be announced in June 2020.
To apply e-mail the following documents to edsd@ced.uab.es:
CV detailing educational and work history, language abilities, plus any scholarly publications.
One recent letter of recommendation.
Motivational letter (up to 5 double-spaced pages) introducing yourself and presenting your professional interests, background (beyond what is obvious from your CV) and plans. Explain how you expect EDSD could promote your future career. Include a detailed description of your quantitative skills (mathematics, statistics, and computer programming).
Official transcripts and degree certificates of your Bachelor’s and Master’s degrees in English or English translation.
TOEFL (internet-based: 100, computer-based: 250, paper-based 600) or CAE test scores. Alternatively, a degree taught in English or a declaration of why you are proficient in English.
More information
✔️ @ApplyTime
One recent letter of recommendation.
Motivational letter (up to 5 double-spaced pages) introducing yourself and presenting your professional interests, background (beyond what is obvious from your CV) and plans. Explain how you expect EDSD could promote your future career. Include a detailed description of your quantitative skills (mathematics, statistics, and computer programming).
Official transcripts and degree certificates of your Bachelor’s and Master’s degrees in English or English translation.
TOEFL (internet-based: 100, computer-based: 250, paper-based 600) or CAE test scores. Alternatively, a degree taught in English or a declaration of why you are proficient in English.
More information
✔️ @ApplyTime
Centre d'Estudis Demogràfics
El Centre d’Estudis Demogràfics fou fundat l’any 1984 amb una triple missió: promoure la recerca, la docència i la difusió del coneixement en matèria de població.
Post-Doc Position in Computer Vision at Lille University (CRIStAL lab)
Computer vision system for automated mushroom picking
Context
This project is part of a collaboration between the Gontière farm
(mushroom industry) and the CRIStAL laboratory of the University of
Lille. This project will be led by two teams from the CRIStAL
laboratory. A first team will be in charge of the robotic part and the
second of the vision part. The postdoctoral fellow will intervene in the
vision part.
Objectives
The main objective of the vision part is to determine the mushrooms to
pick and indicate their precise location to the control system of the
robot. The information needed to control the robot is the position and
the rientation of the mushroom.
Information
Duration : 12 months
Framework : CHAMPIBOT (Start'AIRR : Isite, Région Hauts de France)
Starting date : January 2020
Location : CRISTtAL laboratory, Villeneuve d'Ascq, France
Contacts
The interested candidates should contact rapidly either Ass. Pr.
Duvieubourg Luc Pr. Cabestaing François or Pr. Macaire Ludovic with a
full CV and a reference letter.
luc.duvieubourg@univ-lille.fr
francois.cabestaing@univ-lille.fr
ludovic.macaire@univ-lille.fr
Kind regards,
Duvieubourg Luc
✔️ @ApplyTime
Computer vision system for automated mushroom picking
Context
This project is part of a collaboration between the Gontière farm
(mushroom industry) and the CRIStAL laboratory of the University of
Lille. This project will be led by two teams from the CRIStAL
laboratory. A first team will be in charge of the robotic part and the
second of the vision part. The postdoctoral fellow will intervene in the
vision part.
Objectives
The main objective of the vision part is to determine the mushrooms to
pick and indicate their precise location to the control system of the
robot. The information needed to control the robot is the position and
the rientation of the mushroom.
Information
Duration : 12 months
Framework : CHAMPIBOT (Start'AIRR : Isite, Région Hauts de France)
Starting date : January 2020
Location : CRISTtAL laboratory, Villeneuve d'Ascq, France
Contacts
The interested candidates should contact rapidly either Ass. Pr.
Duvieubourg Luc Pr. Cabestaing François or Pr. Macaire Ludovic with a
full CV and a reference letter.
luc.duvieubourg@univ-lille.fr
francois.cabestaing@univ-lille.fr
ludovic.macaire@univ-lille.fr
Kind regards,
Duvieubourg Luc
✔️ @ApplyTime
We are seeking a postdoctoral Research Fellow for a 12-month position in machine learning and natural language processing (with possible extension to 24-months). The research will address development and evaluation of adversarial methods for natural language processing, encompassing both the development of attacks and defences. The project is supervised by Prof Trevor Cohn and A/Prof Ben Rubinstein.
Application deadline: Mar 4, 2020 (Australian Eastern Daylight Time, UTC+11)
Position details: http://go.unimelb.edu.au/63cr
We’re excited to invite applications from researchers passionate about machine learning and language to join us at Australia’s premier university, situated in one of the world’s most liveable cities.
--
Ben Rubinstein, PhD (Berkeley)
Associate Dean (Research), Melbourne School of Engineering
Associate Professor, School of Computing and Information Systems
The University of Melbourne, Victoria 3010 Australia
T: +61 3 9035 6657 E: brubinstein@unimelb.edu.au
http://www.bipr.net
✔️ @ApplyTime
Application deadline: Mar 4, 2020 (Australian Eastern Daylight Time, UTC+11)
Position details: http://go.unimelb.edu.au/63cr
We’re excited to invite applications from researchers passionate about machine learning and language to join us at Australia’s premier university, situated in one of the world’s most liveable cities.
--
Ben Rubinstein, PhD (Berkeley)
Associate Dean (Research), Melbourne School of Engineering
Associate Professor, School of Computing and Information Systems
The University of Melbourne, Victoria 3010 Australia
T: +61 3 9035 6657 E: brubinstein@unimelb.edu.au
http://www.bipr.net
✔️ @ApplyTime
About Us - Careers - The University of Melbourne
Current opportunities : The University of Melbourne
Careers at The University of Melbourne
Permanent position : machine learning engineer, online clustering, graph analysis, NLP
The company
LumenAI is a start-up created 4 years ago by academic researchers and specialised in online clustering. The company is using its strong R&D activity to provide scientific and technical supervision to its customers. Up to now, the projects have been related to fault detection, cyber-security, document indexing, and social network analysis. In parallel, LumenAI its own clustering and visualisation tools in the library : The lady of the lake.
Your missions
The tasks consists in participating to the missions with our customers and to the evolution of our clustering library « The lady of the Lake ». 20% of your time will be dedicated to a personal research project related to the LumenAI activities.
If the successful candidate is a senior profile, he will also participate to the mission management and to mentor our junior data scientists. For instance, there is currently the need for a phd advisor in robust clustering.
Your profile
Ideally, 5 year experience in machine learning. However exceptional junior profiles are encouraged to apply.
The LumenAI activities are relying heavily on Natural Language Processing. For this reason, an expertise in this domain would be a big plus.
Interest in research: most of our missions occur in R&D projects, et we are committed to keep and develop our link with academia to imagine new algorithms.
Aim for excellence: There are many companies which claim to be related to machine learning. LumenAI brings a difference thanks to the high quality of its engineers. The candidate can convince of its skills by showing professional accomplishments and/or publications in the best machine learning conferences.
Initiative and participation: LumenAI favors a flat hierarchy and the personal development of its members, such that every lumen can organize its professional activity towards its own passions. In such dynamic, it is expected that each member found himself how to contribute to the company and get integrated in the team.
We are located in France and so are most of our customers. As a consequence it is mandatory to have some knowledge of french and being willing to master it.
References and other informations
The company is spread across different towns, but the preferred location for this position is Paris.
Incomes: between 45 and 60k€ according to experience.
The website demonstrating our clustering algorithm “The lady of the Lake.
https://lakelady.lumenai.fr/#/
The values of LumenAI (in french)
http://www.lumenai.fr/join-us
Contacts:
Sébastien Lousteau: LumenAI founder
sloustau@lumenai.fr
Paul Gay : Engineer at LumenAI
pgay@lumenai.fr
✔️ @ApplyTime
The company
LumenAI is a start-up created 4 years ago by academic researchers and specialised in online clustering. The company is using its strong R&D activity to provide scientific and technical supervision to its customers. Up to now, the projects have been related to fault detection, cyber-security, document indexing, and social network analysis. In parallel, LumenAI its own clustering and visualisation tools in the library : The lady of the lake.
Your missions
The tasks consists in participating to the missions with our customers and to the evolution of our clustering library « The lady of the Lake ». 20% of your time will be dedicated to a personal research project related to the LumenAI activities.
If the successful candidate is a senior profile, he will also participate to the mission management and to mentor our junior data scientists. For instance, there is currently the need for a phd advisor in robust clustering.
Your profile
Ideally, 5 year experience in machine learning. However exceptional junior profiles are encouraged to apply.
The LumenAI activities are relying heavily on Natural Language Processing. For this reason, an expertise in this domain would be a big plus.
Interest in research: most of our missions occur in R&D projects, et we are committed to keep and develop our link with academia to imagine new algorithms.
Aim for excellence: There are many companies which claim to be related to machine learning. LumenAI brings a difference thanks to the high quality of its engineers. The candidate can convince of its skills by showing professional accomplishments and/or publications in the best machine learning conferences.
Initiative and participation: LumenAI favors a flat hierarchy and the personal development of its members, such that every lumen can organize its professional activity towards its own passions. In such dynamic, it is expected that each member found himself how to contribute to the company and get integrated in the team.
We are located in France and so are most of our customers. As a consequence it is mandatory to have some knowledge of french and being willing to master it.
References and other informations
The company is spread across different towns, but the preferred location for this position is Paris.
Incomes: between 45 and 60k€ according to experience.
The website demonstrating our clustering algorithm “The lady of the Lake.
https://lakelady.lumenai.fr/#/
The values of LumenAI (in french)
http://www.lumenai.fr/join-us
Contacts:
Sébastien Lousteau: LumenAI founder
sloustau@lumenai.fr
Paul Gay : Engineer at LumenAI
pgay@lumenai.fr
✔️ @ApplyTime
lakelady.lumenai.fr
The lady of the lake
Distance clustering visualisation
Research Fellow - Deep Learning for Visual Tracking and Re-Identification from UAV
The laboratory of Artificial Vision and Real-Time Systems (AViReS) is offering a one-year Research Fellow position -renewable for 1+ additional year(s)- to:
1) design, develop and evaluate visual based object-tracking and person re-identification solutions on images acquired by a network of Unmanned Aerial Vehicles (UAVs);
2) implement and evaluate such methods on embedded GPU platforms for the coordination and control of a fleet of drones.
Location: University of Udine
Department: Department of Mathematics, Computer Science, and Physics
Unit: Artificial Vision and Real-Time System Laboratory - University of Udine (UNIUD)
Position: Research Fellow
Scientific fields: Deep Learning, Computer Vision, Machine Learning, Unmanned Aerial Vehicles
Minimum Education Level: M.Sc.
Contact person: Dr. Niki Martinel, niki.martinel@uniud.it
Requirements:
We are looking for a highly-motivated, independent and skilled researcher with Master or PhD degree and related experience in machine vision, deep learning, artificial intelligence and/or computer science/engineering with interest in embedded Unmanned Aerial Vehicle (UAV) systems.
A background and track record of peer-reviewed conference/journal publications in machine vision for UAVs is compulsory (works on visual object tracking and person re-identification are a plus).
Experience with designing, managing and executing experiments is a mandatory requirement while operational knowledge of UAV based systems is an asset. This also includes the actual execution of flights with UAVs and maintenance of the platforms. The Research Fellow will contribute to the UAV image processing workflows and implement algorithms in relevant (open source) software and programming environments.
Relevant knowledge, and at least 1 year of experience in developing solutions with Python is mandatory.
As the Research Fellow will be working in an interdisciplinary team in international cooperation with universities, research organisations and companies, we expect a pro-active and collaborative attitude and excellent communication skills both in presentations and writing.
Conditions of employment:
We offer a full time scientific position for a total period of 1 year.
Competitive salary. As the candidate will be selected, the contract will be immediately activated. We expect the candidate to join the group as soon as possible. The contract may be extended for 1(+) additional year(s).
Employer:
University of Udine, Italy.
Within the Department of Mathematics, Computer Science and Physics, the Artificial Vision and Real-Time Systems (AViReS) lab carries out fundamental research on machine vision and artificial intelligence.
The lab has a large range of platforms and camera networks available as well as GPU clusters for deep learning.
Deadline:
February 10, 2020 - 2pm CET
Application:
http://web.uniud.it/ateneo/normativa/albo_ufficiale/58-2020
------------------------------------------------------------------------------------
Niki Martinel
University of Udine
Department of Mathematics, Computer Science and Physics
Via Delle Scienze 206, 33100 Udine, Italy
niki.martinel@uniud.it
http://users.dimi.uniud.it/~niki.martinel/
✔️ @ApplyTime
The laboratory of Artificial Vision and Real-Time Systems (AViReS) is offering a one-year Research Fellow position -renewable for 1+ additional year(s)- to:
1) design, develop and evaluate visual based object-tracking and person re-identification solutions on images acquired by a network of Unmanned Aerial Vehicles (UAVs);
2) implement and evaluate such methods on embedded GPU platforms for the coordination and control of a fleet of drones.
Location: University of Udine
Department: Department of Mathematics, Computer Science, and Physics
Unit: Artificial Vision and Real-Time System Laboratory - University of Udine (UNIUD)
Position: Research Fellow
Scientific fields: Deep Learning, Computer Vision, Machine Learning, Unmanned Aerial Vehicles
Minimum Education Level: M.Sc.
Contact person: Dr. Niki Martinel, niki.martinel@uniud.it
Requirements:
We are looking for a highly-motivated, independent and skilled researcher with Master or PhD degree and related experience in machine vision, deep learning, artificial intelligence and/or computer science/engineering with interest in embedded Unmanned Aerial Vehicle (UAV) systems.
A background and track record of peer-reviewed conference/journal publications in machine vision for UAVs is compulsory (works on visual object tracking and person re-identification are a plus).
Experience with designing, managing and executing experiments is a mandatory requirement while operational knowledge of UAV based systems is an asset. This also includes the actual execution of flights with UAVs and maintenance of the platforms. The Research Fellow will contribute to the UAV image processing workflows and implement algorithms in relevant (open source) software and programming environments.
Relevant knowledge, and at least 1 year of experience in developing solutions with Python is mandatory.
As the Research Fellow will be working in an interdisciplinary team in international cooperation with universities, research organisations and companies, we expect a pro-active and collaborative attitude and excellent communication skills both in presentations and writing.
Conditions of employment:
We offer a full time scientific position for a total period of 1 year.
Competitive salary. As the candidate will be selected, the contract will be immediately activated. We expect the candidate to join the group as soon as possible. The contract may be extended for 1(+) additional year(s).
Employer:
University of Udine, Italy.
Within the Department of Mathematics, Computer Science and Physics, the Artificial Vision and Real-Time Systems (AViReS) lab carries out fundamental research on machine vision and artificial intelligence.
The lab has a large range of platforms and camera networks available as well as GPU clusters for deep learning.
Deadline:
February 10, 2020 - 2pm CET
Application:
http://web.uniud.it/ateneo/normativa/albo_ufficiale/58-2020
------------------------------------------------------------------------------------
Niki Martinel
University of Udine
Department of Mathematics, Computer Science and Physics
Via Delle Scienze 206, 33100 Udine, Italy
niki.martinel@uniud.it
http://users.dimi.uniud.it/~niki.martinel/
✔️ @ApplyTime
Niki Martinel
About Me - Niki Martinel
Assistant Professor of Computer Vision and Machine (Deep) Learning Niki Martinel I am an assistant professor in CS at the University of Udine studying computer vision, machine learning, and AI. Previously, I spent a year as a visiting research scientist at…
Postdoc Position in “Understanding heterogeneity in the AUTISMS” - [ Postdoc ]
Dear colleagues,
I’m advertising for a post-doc position in my lab. Please forward to anyone interested.
https://www.iit.it/careers/openings/opening/1155-postdoc-position-in-understanding-heterogeneity-in-the-autisms
Sincerely,
Mike Lombardo
--
Michael Lombardo PhD
✔️ @ApplyTime
Dear colleagues,
I’m advertising for a post-doc position in my lab. Please forward to anyone interested.
https://www.iit.it/careers/openings/opening/1155-postdoc-position-in-understanding-heterogeneity-in-the-autisms
Sincerely,
Mike Lombardo
--
Michael Lombardo PhD
✔️ @ApplyTime
AI and Games Academic (all ranks) - Institute of Digital Games, University of Malta (Deadline: Feb-28)
Dear all
Applications are invited for a Full-Time Resident Academic in Artificial Intelligence and Games at the Institute of Digital Games ( http://www.game.edu.mt/ ) of the University of Malta. The appointment will be on an indefinite basis, subject to a one-year probationary period, up to statutory retirement age.
An excellent and recognised research output within one or more of the following areas is a requirement for the post: AI for playing games, procedural content generation, computational creativity, affective computing, player modelling, game analytics. Evidenced independent teaching activity at the crossroads of artificial intelligence and games will be regarded positively. Candidates with experience in attracting and managing externally funded projects will be assessed favourably.
The call is open for academic ranks: Professor, Associate Professor, Senior Lecturer and Lecturer.
https://www.um.edu.mt/hrmd/recruitment/generalrecruitment/residentacademicfulltimeinartificialintelligenceandgames
The deadline for applications is *Feb-28*. Interested candidates are welcome to contact Georgios Yannakakis (georgios.yannakakis@um.edu.mt) or Antonios Liapis (antonios.liapis@um.edu.mt ).
--- Institute of Digital Games---
The Institute of Digital Games (http://www.game.edu.mt/) is the centre for research and education in game design, game analysis, and game technology at the University of Malta. Work performed by the Institute is at the forefront of innovative games research. Members of the Institute explore games and play, uncovering new playful and generative possibilities in game design and technology by delving into everything games can teach us about ourselves. The multidisciplinary academic team of the Institute of Digital Games spans computer science, literature, game design, philosophy, media studies, and social sciences.
--
Georgios N. Yannakakis
Professor, Director
Institute of Digital Games, University of Malta
http://yannakakis.net/
✔️ @ApplyTime
Dear all
Applications are invited for a Full-Time Resident Academic in Artificial Intelligence and Games at the Institute of Digital Games ( http://www.game.edu.mt/ ) of the University of Malta. The appointment will be on an indefinite basis, subject to a one-year probationary period, up to statutory retirement age.
An excellent and recognised research output within one or more of the following areas is a requirement for the post: AI for playing games, procedural content generation, computational creativity, affective computing, player modelling, game analytics. Evidenced independent teaching activity at the crossroads of artificial intelligence and games will be regarded positively. Candidates with experience in attracting and managing externally funded projects will be assessed favourably.
The call is open for academic ranks: Professor, Associate Professor, Senior Lecturer and Lecturer.
https://www.um.edu.mt/hrmd/recruitment/generalrecruitment/residentacademicfulltimeinartificialintelligenceandgames
The deadline for applications is *Feb-28*. Interested candidates are welcome to contact Georgios Yannakakis (georgios.yannakakis@um.edu.mt) or Antonios Liapis (antonios.liapis@um.edu.mt ).
--- Institute of Digital Games---
The Institute of Digital Games (http://www.game.edu.mt/) is the centre for research and education in game design, game analysis, and game technology at the University of Malta. Work performed by the Institute is at the forefront of innovative games research. Members of the Institute explore games and play, uncovering new playful and generative possibilities in game design and technology by delving into everything games can teach us about ourselves. The multidisciplinary academic team of the Institute of Digital Games spans computer science, literature, game design, philosophy, media studies, and social sciences.
--
Georgios N. Yannakakis
Professor, Director
Institute of Digital Games, University of Malta
http://yannakakis.net/
✔️ @ApplyTime
The German Cancer Research Center is the largest biomedical research institution in Germany. With approximately 3,000 employees, we operate an extensive scientific program in the field of cancer research.
Together with university partners at seven renowned partner sites, we have established the German Cancer Consortium (DKTK).
For the partner site of DKTK München the German Cancer Research Center is seeking a
PhD Student
(Ref-No. 2020-0007)
The Department of Diagnostic and Interventional Radiology at the Technical University of Munich, Klinikum Rechts der Isar location, is seeking to appoint one PhD student for the development of novel end-to-end deep-learning architectures for the analysis of medical images and their associated clinical records in pancreatic cancer patients.
The development of such algorithms will advance the fields of radiology and oncology and enable better pre-therapeutic patient stratification, improve clinical decision making and ultimately improve pancreatic cancer prognosis.
Description:
You will be tasked with the implementation of multi-input, end-to-end deep learning architectures using current state-of-the-art tools by working in a multidisciplinary team of radiologists, machine-learning researchers, oncologists and fellow students. You will be jointly supervised by the Department of Diagnostic and Interventional Radiology at TUM and the Department of Computing at Imperial College London and will have the opportunity to participate in the active academic exchange between our institutions.
You will have the opportunity to work at the forefront of biomedical imaging analysis, using large, proprietary datasets, and using contemporary techniques such as transfer learning, federated and privacy-preserving AI, decentralised systems and multimodal deep learning.
Your profile:
An M.Sc. (or equivalent) in an area pertinent to the subject, i. e. (biomedical) computing, mathematics or data / software engineering with a focus on machine learning
Proven track record (courses, extracurricular activities, portfolio, blog posts etc.) in machine learning, especially in the areas of deep learning, computer vision and biomedical imaging analysis
Practical experience with multidisciplinary research and supervision of students
Practical experience with industry standard software engineering practices (version control, test-driven development, documentation-writing, reproducible AI) is highly desired
Excellent Python programming skills are required
Experience with front-end web development and other languages such as Julia or Swift is desired
Excellent oral and written communication skills in English, knowledge of the German language is not a requirement
Ability to self-organise, address and communicate findings and issues with superiors in a time-efficient and structured manner is required
A publication track record is desired but not required
The application should include the following documents:
A one-page cover letter
A full CV
A two-page statement detailing your research interests, how your experience and expertise is relevant to the posting, and why you feel you are personally suited for the position
Applicants will be invited for an informal meeting and a 45 minute technical interview at a later time
The position is limited to 3 years.
For further information please contact
Rickmer Braren, phone 089 4140-5627.
✔️ @ApplyTime
Together with university partners at seven renowned partner sites, we have established the German Cancer Consortium (DKTK).
For the partner site of DKTK München the German Cancer Research Center is seeking a
PhD Student
(Ref-No. 2020-0007)
The Department of Diagnostic and Interventional Radiology at the Technical University of Munich, Klinikum Rechts der Isar location, is seeking to appoint one PhD student for the development of novel end-to-end deep-learning architectures for the analysis of medical images and their associated clinical records in pancreatic cancer patients.
The development of such algorithms will advance the fields of radiology and oncology and enable better pre-therapeutic patient stratification, improve clinical decision making and ultimately improve pancreatic cancer prognosis.
Description:
You will be tasked with the implementation of multi-input, end-to-end deep learning architectures using current state-of-the-art tools by working in a multidisciplinary team of radiologists, machine-learning researchers, oncologists and fellow students. You will be jointly supervised by the Department of Diagnostic and Interventional Radiology at TUM and the Department of Computing at Imperial College London and will have the opportunity to participate in the active academic exchange between our institutions.
You will have the opportunity to work at the forefront of biomedical imaging analysis, using large, proprietary datasets, and using contemporary techniques such as transfer learning, federated and privacy-preserving AI, decentralised systems and multimodal deep learning.
Your profile:
An M.Sc. (or equivalent) in an area pertinent to the subject, i. e. (biomedical) computing, mathematics or data / software engineering with a focus on machine learning
Proven track record (courses, extracurricular activities, portfolio, blog posts etc.) in machine learning, especially in the areas of deep learning, computer vision and biomedical imaging analysis
Practical experience with multidisciplinary research and supervision of students
Practical experience with industry standard software engineering practices (version control, test-driven development, documentation-writing, reproducible AI) is highly desired
Excellent Python programming skills are required
Experience with front-end web development and other languages such as Julia or Swift is desired
Excellent oral and written communication skills in English, knowledge of the German language is not a requirement
Ability to self-organise, address and communicate findings and issues with superiors in a time-efficient and structured manner is required
A publication track record is desired but not required
The application should include the following documents:
A one-page cover letter
A full CV
A two-page statement detailing your research interests, how your experience and expertise is relevant to the posting, and why you feel you are personally suited for the position
Applicants will be invited for an informal meeting and a 45 minute technical interview at a later time
The position is limited to 3 years.
For further information please contact
Rickmer Braren, phone 089 4140-5627.
✔️ @ApplyTime
OST-DOCTORAL RESEARCHER IN Khalifa University, Abu Dhabi, UAE
The EECS department in Khalifa University, Abu Dhabi, UAE (www.ku.ac.ae) is seeking candidates for a postdoctoral position in computer vision and image processing. Topics of interest include fundamental topics in AI like active learning, multi-task learning, self-supervised learning and their applications in areas like healthcare, multimedia processing, and remote sensing. A PhD degree in computer vision, image processing, or a related field is required. Successful candidates are expected to have published in leading computer vision conferences and/or journals. This position is available immediately and offered for one-year term, subject to renewal based on performance and available funds
To apply for this position please send your CV to Dr. Hasan AlMarzouqi hasan.almarzouqi@ku.ac.ae
Hasan Al Marzouqi
Assistant Professor
Electrical and Computer Engineering
✔️ @ApplyTime
The EECS department in Khalifa University, Abu Dhabi, UAE (www.ku.ac.ae) is seeking candidates for a postdoctoral position in computer vision and image processing. Topics of interest include fundamental topics in AI like active learning, multi-task learning, self-supervised learning and their applications in areas like healthcare, multimedia processing, and remote sensing. A PhD degree in computer vision, image processing, or a related field is required. Successful candidates are expected to have published in leading computer vision conferences and/or journals. This position is available immediately and offered for one-year term, subject to renewal based on performance and available funds
To apply for this position please send your CV to Dr. Hasan AlMarzouqi hasan.almarzouqi@ku.ac.ae
Hasan Al Marzouqi
Assistant Professor
Electrical and Computer Engineering
✔️ @ApplyTime
PhD position - quantum optimal control, ML optimization and quantum sensing
Forschungszentrum Jülich GmbH Jülich
As a member of the Helmholtz Association, Forschungszentrum Jülich makes an effective contribution to solving major challenges facing society in the fields of information, energy, and bioeconomy. It focuses on varied tasks in the area of research management and utilizes large, often unique, scientific infrastructure. Come and work with around 6,100 colleagues across a range of topics and disciplines at one of Europe's largest research centres.
The Institute for Quantum Control of the Peter Grünberg Institute at Forschungszentrum Jülich specializes in novel optimization strategies for emerging quantum technologies. The institute has pioneered the application of quantum optimal control methods to quantum computation and to quantum sensing systems. This includes development of physical models and model reduction techniques as well as algorithmic advances of in-situ optimization and machine learning to tackle the complex dynamics inherent to quantum informational devices.
The Institute for Quantum Control is looking for a
PhD position - quantum optimal control, ML optimization and quantum sensing
Activities and responsibilities
designing novel optimal control sequences for high-precision operations on various quantum technology platforms for quantum sensing and quantum computing
developing analytical models to describe energy structure and dynamical processes of the systems
researching algorithmic advances and new directions for our quantum optimization library, including quantum measurement trajectories, quantum noise learning and robustification of control solutions
incorporating new physics ideas into the optimizations to account for more complex tasks as devices scale up, including for system-environment interaction and dissipation engineering
regularly interacting with experimentalist partners so as to retain a high fidelity with respect to real devices and providing access to our cloud-based optimization software suite
Qualification profile
Master´s degree in physics
a background and strong interest in developing analytical models and numerical optimization methods, and interest in working closely with experiments
programming experience in, e.g., python, matlab, fortran
fluent command of written and spoken English
most importantly: enthusiasm to explore uncharted territory, develop and follow your own ideas
ability to work autonomously in close interaction within a team
We offer
outstanding computing facilities and a world leader in quantum optimization research
a highly motivated working group as part of an international and interdisciplinary working environment at one of Europe’s largest research establishments
involvement in national and European research projects and collaboration with other research groups
continuous scientific mentoring by your scientific advisor as well as feedback and expertise in the multiple facets of optimization technologies and solid state physics.
opportunity of participating in (international) conferences and project meetings.
participation in overarching seminars including certificate.
the skills that you will acquire during your PhD are in high demand both in academia and in high-tech companies: at present, there is significant investment from private and governmental funding agencies in the field of quantum technologies.
pay in line with 75 % of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund)
information on employment as a PhD student at Forschungszentrum Jülich can be found here http://www.fz-juelich.de/gp/Careers_Docs
Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations.
We also welcome applications from disabled persons.
Send application to
We look forward to receiving your application until 24.02.2020 via our online recruitment system!
Questions about the vacancy?
Contact us by mentioning the reference number 2020D-010: career@fz-juelich.de
Forschungszentrum Jülich GmbH Jülich
As a member of the Helmholtz Association, Forschungszentrum Jülich makes an effective contribution to solving major challenges facing society in the fields of information, energy, and bioeconomy. It focuses on varied tasks in the area of research management and utilizes large, often unique, scientific infrastructure. Come and work with around 6,100 colleagues across a range of topics and disciplines at one of Europe's largest research centres.
The Institute for Quantum Control of the Peter Grünberg Institute at Forschungszentrum Jülich specializes in novel optimization strategies for emerging quantum technologies. The institute has pioneered the application of quantum optimal control methods to quantum computation and to quantum sensing systems. This includes development of physical models and model reduction techniques as well as algorithmic advances of in-situ optimization and machine learning to tackle the complex dynamics inherent to quantum informational devices.
The Institute for Quantum Control is looking for a
PhD position - quantum optimal control, ML optimization and quantum sensing
Activities and responsibilities
designing novel optimal control sequences for high-precision operations on various quantum technology platforms for quantum sensing and quantum computing
developing analytical models to describe energy structure and dynamical processes of the systems
researching algorithmic advances and new directions for our quantum optimization library, including quantum measurement trajectories, quantum noise learning and robustification of control solutions
incorporating new physics ideas into the optimizations to account for more complex tasks as devices scale up, including for system-environment interaction and dissipation engineering
regularly interacting with experimentalist partners so as to retain a high fidelity with respect to real devices and providing access to our cloud-based optimization software suite
Qualification profile
Master´s degree in physics
a background and strong interest in developing analytical models and numerical optimization methods, and interest in working closely with experiments
programming experience in, e.g., python, matlab, fortran
fluent command of written and spoken English
most importantly: enthusiasm to explore uncharted territory, develop and follow your own ideas
ability to work autonomously in close interaction within a team
We offer
outstanding computing facilities and a world leader in quantum optimization research
a highly motivated working group as part of an international and interdisciplinary working environment at one of Europe’s largest research establishments
involvement in national and European research projects and collaboration with other research groups
continuous scientific mentoring by your scientific advisor as well as feedback and expertise in the multiple facets of optimization technologies and solid state physics.
opportunity of participating in (international) conferences and project meetings.
participation in overarching seminars including certificate.
the skills that you will acquire during your PhD are in high demand both in academia and in high-tech companies: at present, there is significant investment from private and governmental funding agencies in the field of quantum technologies.
pay in line with 75 % of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund)
information on employment as a PhD student at Forschungszentrum Jülich can be found here http://www.fz-juelich.de/gp/Careers_Docs
Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations.
We also welcome applications from disabled persons.
Send application to
We look forward to receiving your application until 24.02.2020 via our online recruitment system!
Questions about the vacancy?
Contact us by mentioning the reference number 2020D-010: career@fz-juelich.de
www.fz-juelich.de
Work at Jülich as a Doctoral Researcher
Find out more about career opportunities for doctoral researchers at Forschungszentrum Jülich. Shape your future in leading research with us.
Please note that for technical reasons we cannot accept applications via e-mail.
www.fz-juelich.de
✔️ @ApplyTime
www.fz-juelich.de
✔️ @ApplyTime
Opening 4-6 RL Positions
Hello,
I have 4-6 opening in RL. I am just wondering if it's ok to circulate the call?
Huawei Technologies Research and Development in London UK is seeking exceptional candidates to pursue research in various aspects of reinforcement learning. The successful applicant is expected to develop novel contributions allowing the field to move forward in getting it a step closer towards real-world applications. Key research questions include but are not limited to, safe and robust reinforcement learning, deep reinforcement learning, multi-agent reinforcement learning, and model-based reinforcement learning. Expertise in probabilistic modelling including variational inference and Gaussian processes is a plus. This is an exceptional opportunity for research while collaborating with a diverse team with backgrounds ranging from mathematics and optimisation to probability and game theory. These positions not only involve theoretical advances, but also aim to apply reinforcement learning to real-world problems, e.g., self-driving cars, 5g networks, and many other logistics and supply-chain challenges. Working with world-leading researchers in the field, this role allows seeking innovative solutions to next-generation artificial intelligence
Responsibilities:
Develop high-impact research output in the field of reinforcement learning, probabilistic modelling, or risk-averse learning
Write research-level code capable of testing novel ideas and new approaches
Effectively communicate research findings to the team and to the broader community through journal and conference publications
Qualifications:
PhD in Computer Science or a related field
Strong research background demonstrated through journal and conference submissions in any of the following: ICML, NeurIPS, AISTATS, AAAI, UAI, IJCAI, JMLR, Annals of Statistics, and Annals of Probability
Hands-on Experience in implementing reinforcement learning, probabilistic modelling, and/or multi-agent algorithms
Knowledge of Python, specifically PyTorch or TensorFlow in addition to OpenAI Gym, GPFlow, Pyro, among others
Ability to work in a diverse interdisciplinary team of researchers and engineers with different background
We offer a competitive salary. We are a team tackling reinforcement and machine in a principled fashion while considering real-world problems. We attempt to have insights into why algorithms work beyond exhaustive parameter and structure tuning. If interested, please send your CV and an accompanying publication list to ukrdjobs@huawei.com. For any questions, please feel free to contact us on ukrdjobs@huawei.com.
Thanks!
Best,
Haitham
----------------------------------------------------------------
Haitham Bou Ammar
Ph.D. Artificial Intelligence
W: https://www.haithambouammar.com/
✔️ @ApplyTime
Hello,
I have 4-6 opening in RL. I am just wondering if it's ok to circulate the call?
Huawei Technologies Research and Development in London UK is seeking exceptional candidates to pursue research in various aspects of reinforcement learning. The successful applicant is expected to develop novel contributions allowing the field to move forward in getting it a step closer towards real-world applications. Key research questions include but are not limited to, safe and robust reinforcement learning, deep reinforcement learning, multi-agent reinforcement learning, and model-based reinforcement learning. Expertise in probabilistic modelling including variational inference and Gaussian processes is a plus. This is an exceptional opportunity for research while collaborating with a diverse team with backgrounds ranging from mathematics and optimisation to probability and game theory. These positions not only involve theoretical advances, but also aim to apply reinforcement learning to real-world problems, e.g., self-driving cars, 5g networks, and many other logistics and supply-chain challenges. Working with world-leading researchers in the field, this role allows seeking innovative solutions to next-generation artificial intelligence
Responsibilities:
Develop high-impact research output in the field of reinforcement learning, probabilistic modelling, or risk-averse learning
Write research-level code capable of testing novel ideas and new approaches
Effectively communicate research findings to the team and to the broader community through journal and conference publications
Qualifications:
PhD in Computer Science or a related field
Strong research background demonstrated through journal and conference submissions in any of the following: ICML, NeurIPS, AISTATS, AAAI, UAI, IJCAI, JMLR, Annals of Statistics, and Annals of Probability
Hands-on Experience in implementing reinforcement learning, probabilistic modelling, and/or multi-agent algorithms
Knowledge of Python, specifically PyTorch or TensorFlow in addition to OpenAI Gym, GPFlow, Pyro, among others
Ability to work in a diverse interdisciplinary team of researchers and engineers with different background
We offer a competitive salary. We are a team tackling reinforcement and machine in a principled fashion while considering real-world problems. We attempt to have insights into why algorithms work beyond exhaustive parameter and structure tuning. If interested, please send your CV and an accompanying publication list to ukrdjobs@huawei.com. For any questions, please feel free to contact us on ukrdjobs@huawei.com.
Thanks!
Best,
Haitham
----------------------------------------------------------------
Haitham Bou Ammar
Ph.D. Artificial Intelligence
W: https://www.haithambouammar.com/
✔️ @ApplyTime
Post-Doc Position at University of Massachusetts Lowell
Cognitive Ubiquitous Computing and Systems (CUBICS) Lab of University of Massachusetts Lowell (Massachusetts, USA) is looking for a postdoctoral research associate in the area of biomedical and healthcare data science. Combining hands-on research with grant writing duties, this position come with fringe benefits, while still enabling close mentoring by and collaboration with UMass Lowell faculty members from Computer Science department. Strong candidates in all disciplines are encouraged to apply including computer science interdisciplinary focused areas. Also, doctorates with strong research, publication, grant writing and/or postdoc experiences in non-computer science fields who are extremely enthusiastic in developing their career in data science are also encouraged to apply.
Initially, the position will be offered for one year with the possibility of renewal for an additional year.
Candidates are invited to send the required documents directly to Professor Mohammad Arif Ul Alam (mohammadariful_alam@uml.edu) with an email title “Application for Post-Doc Position”. The required documents are as follows
1. Cover Letter
2. Curriculum Vitae
3. Contact Information for two letters of reference
4. Two representative publications
5. Contact and research information (Including linkedin, google scholar and personal webpage info)
Best Regards
Mohammad Arif Ul Alam
Assistant Professor, Computer Science
University of Massachusetts Lowell
http://faculty.uml.edu/~alam/
Cognitive Ubiquitous Computing and Systems (CUBICS) Lab of University of Massachusetts Lowell (Massachusetts, USA) is looking for a postdoctoral research associate in the area of biomedical and healthcare data science. Combining hands-on research with grant writing duties, this position come with fringe benefits, while still enabling close mentoring by and collaboration with UMass Lowell faculty members from Computer Science department. Strong candidates in all disciplines are encouraged to apply including computer science interdisciplinary focused areas. Also, doctorates with strong research, publication, grant writing and/or postdoc experiences in non-computer science fields who are extremely enthusiastic in developing their career in data science are also encouraged to apply.
Initially, the position will be offered for one year with the possibility of renewal for an additional year.
Candidates are invited to send the required documents directly to Professor Mohammad Arif Ul Alam (mohammadariful_alam@uml.edu) with an email title “Application for Post-Doc Position”. The required documents are as follows
1. Cover Letter
2. Curriculum Vitae
3. Contact Information for two letters of reference
4. Two representative publications
5. Contact and research information (Including linkedin, google scholar and personal webpage info)
Best Regards
Mohammad Arif Ul Alam
Assistant Professor, Computer Science
University of Massachusetts Lowell
http://faculty.uml.edu/~alam/
Two postdoctoral positions are available in the Artificial Intelligence Unit of the European Centre for Living Technology @ Ca’ Foscari University of Venice, Italy.
1. Machine learning for digital storytelling. The work will be done within the EU-funded project MEMEX: MEMories and EXperiences for inclusive digital storytelling.
Link: https://apps.unive.it/common2/file/download/assegni_ricerca/5e3bf7dc84fdb
Deadline: February 21, 2020
2. Countering evasion attacks in adversarial machine learning. The work will be done within the MIUR-funded project REXlearn: Reliable and Explainable Adversarial Machine Learning.
Link: https://apps.unive.it/common2/file/download/assegni_ricerca/5e3bfc77a4476
Deadline: February 21, 2020
The initial appointments will be for one year, renewable on a yearly basis.
The projects offer competitive salaries and the opportunity to work closely with high-profile members of the project consortia across Europe, in the heart of one of the world's most fascinating cities.
Candidates should possess a Ph.D. degree in Computer Science or related disciplines. In addition, they should have a good background in machine learning, and solid programming skills. They must have the ability to work independently and with an interdisciplinary team.
For more information about these positions, please contact: pelillo@unive.it
--
Marcello Pelillo, FIEEE, FIAPR
Professor of Computer Science
Ca' Foscari University of Venice, Italy
✔️ @ApplyTime
1. Machine learning for digital storytelling. The work will be done within the EU-funded project MEMEX: MEMories and EXperiences for inclusive digital storytelling.
Link: https://apps.unive.it/common2/file/download/assegni_ricerca/5e3bf7dc84fdb
Deadline: February 21, 2020
2. Countering evasion attacks in adversarial machine learning. The work will be done within the MIUR-funded project REXlearn: Reliable and Explainable Adversarial Machine Learning.
Link: https://apps.unive.it/common2/file/download/assegni_ricerca/5e3bfc77a4476
Deadline: February 21, 2020
The initial appointments will be for one year, renewable on a yearly basis.
The projects offer competitive salaries and the opportunity to work closely with high-profile members of the project consortia across Europe, in the heart of one of the world's most fascinating cities.
Candidates should possess a Ph.D. degree in Computer Science or related disciplines. In addition, they should have a good background in machine learning, and solid programming skills. They must have the ability to work independently and with an interdisciplinary team.
For more information about these positions, please contact: pelillo@unive.it
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Marcello Pelillo, FIEEE, FIAPR
Professor of Computer Science
Ca' Foscari University of Venice, Italy
✔️ @ApplyTime
PhD Student In GeneticsThe Institute of Molecular and Clinical Ophthalmology Basel (IOB) is seeking highly motivated PhD students to join the Genetics Group (Prof. Rivolta – University of Basel).
IOB is a research institute combining basic and clinical research. Its mission is to drive innovations in understanding vision and its diseases and develop new therapies for vision loss. It is a place where your expertise will be valued, your abilities challenged, and your knowledge expanded.
The Genetics group is involved in forefront research on hereditary blindness, by applying both a computational and an experimental approach to the analysis of raw genome data. Our main goal is the identification of DNA mutations that lead to visual loss and the study of the molecular mechanisms that are impaired by such mutations.
Your position
Perform high-quality research in the field of medical genetics, and in particular of ophthalmic genetics
Your profile
MSc in computational biology, computer sciences, molecular biology, genetics, or equivalent field, or MD degree
Enthusiasm to develop new research activities
Highly organized, highly motivated
Fluency in oral and written English
Cross-sectional knowledge (genetics or biology for candidates with a degree in informatics and informatics for candidates with a degree in biology or medicine) is a plus
We offer you
Highly competitive conditions in a dynamic and international research community in Basel
IOB is an equal-opportunity employer with family-friendly work policies
Application / Contact
Interested candidates should submit their application documents as a single PDF file to jobs@iob.ch by February 29th, 2020. Please indicate the position you are applying for by writing the reference number (IOB043) on the subject line.
For further information, please visit our website www.iob.ch or contact
Lavinia Brunold (lavinia.brunold@iob.ch).
✔️ @ApplyTime
IOB is a research institute combining basic and clinical research. Its mission is to drive innovations in understanding vision and its diseases and develop new therapies for vision loss. It is a place where your expertise will be valued, your abilities challenged, and your knowledge expanded.
The Genetics group is involved in forefront research on hereditary blindness, by applying both a computational and an experimental approach to the analysis of raw genome data. Our main goal is the identification of DNA mutations that lead to visual loss and the study of the molecular mechanisms that are impaired by such mutations.
Your position
Perform high-quality research in the field of medical genetics, and in particular of ophthalmic genetics
Your profile
MSc in computational biology, computer sciences, molecular biology, genetics, or equivalent field, or MD degree
Enthusiasm to develop new research activities
Highly organized, highly motivated
Fluency in oral and written English
Cross-sectional knowledge (genetics or biology for candidates with a degree in informatics and informatics for candidates with a degree in biology or medicine) is a plus
We offer you
Highly competitive conditions in a dynamic and international research community in Basel
IOB is an equal-opportunity employer with family-friendly work policies
Application / Contact
Interested candidates should submit their application documents as a single PDF file to jobs@iob.ch by February 29th, 2020. Please indicate the position you are applying for by writing the reference number (IOB043) on the subject line.
For further information, please visit our website www.iob.ch or contact
Lavinia Brunold (lavinia.brunold@iob.ch).
✔️ @ApplyTime
PhD position on “Quantitative study on the pathophysiology of hydrocephalus”
100%, Zurich, temporary
The Product Development Group Zurich in the Department of Mechanical and Process Engineering seeks a highly motivated Ph.D candidate to work in close collaboration with the Division of Surgical Research and the Department of Neurosurgery both at the University Hospital Zurich / University of Zurich. This interdisciplinary project is funded by a grant from the Swiss National Science Foundation.
Project background
Hydrocephalus is described as a disturbance of the balance between production, passage, and resorption of the cerebrospinal fluid (CSF) into the bloodstream that causes an expansion of the ventricles of the brain and can be treated with the placement of a shunt. Most shunt systems consist of a thin tube with a differential pressure valve and are placed from a lateral ventricle to the peritoneum. The technology has hardly changed in the past 60 years and suffers from high failure rates. Additionally, little is known about the etiology of hydrocephalus.
Job description
The goal of this research is to study the influence of dynamic pressure and volume variations in the individual compartments adjacent to the intracranial and spinal CSF spaces in acute and chronic sheep trials. Particularly, the dependence of CSF space dynamics will be investigated in interaction with changes in posture, cardiac pulsations and blood pressure or, respiratory and intraperitoneal pressure conditions that provoke pressure variations in all compartments. Knowledge gained from the in vivo investigation will build the basis for numerical modelling, in vitro testing and the development of an active shunt.
This highly interdisciplinary project combines engineering with medical knowledge. The two PhD students, one engineer (ETH Zurich) and one veterinarian (Division of Surgical Research) will work together on a daily basis.
Your profile
The candidate must have a master’s degree in engineering, computational sciences, or a related field. She/he should have a strong motivation and willingness to integrate new knowledge from our interdisciplinary environment, take over the project coordination and have excellent English language skills.
The ideal candidate will additionally have:
Expert knowledge in systems and control with emphasis on their application to pathophysiological systems
Experience in coding in MATLAB/Simulink and Python
Knowledge on computer vision
High interest in an application oriented project
More info
✔️ @ApplyTime
100%, Zurich, temporary
The Product Development Group Zurich in the Department of Mechanical and Process Engineering seeks a highly motivated Ph.D candidate to work in close collaboration with the Division of Surgical Research and the Department of Neurosurgery both at the University Hospital Zurich / University of Zurich. This interdisciplinary project is funded by a grant from the Swiss National Science Foundation.
Project background
Hydrocephalus is described as a disturbance of the balance between production, passage, and resorption of the cerebrospinal fluid (CSF) into the bloodstream that causes an expansion of the ventricles of the brain and can be treated with the placement of a shunt. Most shunt systems consist of a thin tube with a differential pressure valve and are placed from a lateral ventricle to the peritoneum. The technology has hardly changed in the past 60 years and suffers from high failure rates. Additionally, little is known about the etiology of hydrocephalus.
Job description
The goal of this research is to study the influence of dynamic pressure and volume variations in the individual compartments adjacent to the intracranial and spinal CSF spaces in acute and chronic sheep trials. Particularly, the dependence of CSF space dynamics will be investigated in interaction with changes in posture, cardiac pulsations and blood pressure or, respiratory and intraperitoneal pressure conditions that provoke pressure variations in all compartments. Knowledge gained from the in vivo investigation will build the basis for numerical modelling, in vitro testing and the development of an active shunt.
This highly interdisciplinary project combines engineering with medical knowledge. The two PhD students, one engineer (ETH Zurich) and one veterinarian (Division of Surgical Research) will work together on a daily basis.
Your profile
The candidate must have a master’s degree in engineering, computational sciences, or a related field. She/he should have a strong motivation and willingness to integrate new knowledge from our interdisciplinary environment, take over the project coordination and have excellent English language skills.
The ideal candidate will additionally have:
Expert knowledge in systems and control with emphasis on their application to pathophysiological systems
Experience in coding in MATLAB/Simulink and Python
Knowledge on computer vision
High interest in an application oriented project
More info
✔️ @ApplyTime
www.jobs.ethz.ch
PhD position on “Quantitative study on the pathophysiology of hydrocephalus”
Postdoctoral Researcher in Cognitive and Economic Psychology
100%, 1. June 2020 (but later starting dates are possible)
The Center for Economic Psychology at the Department of Psychology of the University of Basel is searching for a postdoctoral researcher. The Center for Economic Psychology is directed by Prof. Dr. Jörg Rieskamp and is part of the growing Department of Psychology at the University of Basel, one of the leading research universities in Europe.
Your position
Researchers will become part of an international research group in an English-speaking environment. The required teaching may be conducted in German or English.
Your profile
The ideal candidate has a Ph.D. in psychology, cognitive science, decision neuroscience, behavioral economics, or a related field. Solid knowledge of cognitive and decision sciences research and corresponding research methods and an interest in applying these skills to understand the cognitive processes underlying human decision making are appreciated. Experience in cognitive/mathematical modeling, Bayesian statistics and corresponding programming skills (using R/Matlab) are desirable.
We offer you
The Center for Economic Psychology at the Department of Psychology of the University of Basel, Switzerland, is seeking applicants for a postdoctoral position for a period of 2 years with the possibility to extend the position for further years. The salary will be very competitive and additional resources are available for funding experiments and conference travel.
Basel is situated at the river Rhine right at the border to France and Germany. It's a great place to live and work. Health care, quality of life, and public transportation meet the highest international standards.
Application / Contact
Please submit applications (consisting of a cover letter describing research interests, curriculum vitae and up to five preprints as a single PDF file, with the applicant's name as the file name, and two letters of recommendation) by the 1st of March to secretary-ep@unibas.ch. The position can begin as soon as possible, but later start dates are possible.
The University of Basel is an equal opportunity and family friendly employer committed to excellence through diversity. To increase the number of women in leading academic positions the university strongly encourages applications from women.
Please do not hesitate to send us an email for further inquiries. We are looking forward to your application!
Further information can be obtained from Prof. Dr. Jörg Rieskamp
Center for Economic Psychology, Department of Psychology, University of Basel, Missionsstrasse 62A, 4055 Basel, Switzerland. Email: secretary-ep@unibas.ch
www.unibas.ch
✔️ @ApplyTime
100%, 1. June 2020 (but later starting dates are possible)
The Center for Economic Psychology at the Department of Psychology of the University of Basel is searching for a postdoctoral researcher. The Center for Economic Psychology is directed by Prof. Dr. Jörg Rieskamp and is part of the growing Department of Psychology at the University of Basel, one of the leading research universities in Europe.
Your position
Researchers will become part of an international research group in an English-speaking environment. The required teaching may be conducted in German or English.
Your profile
The ideal candidate has a Ph.D. in psychology, cognitive science, decision neuroscience, behavioral economics, or a related field. Solid knowledge of cognitive and decision sciences research and corresponding research methods and an interest in applying these skills to understand the cognitive processes underlying human decision making are appreciated. Experience in cognitive/mathematical modeling, Bayesian statistics and corresponding programming skills (using R/Matlab) are desirable.
We offer you
The Center for Economic Psychology at the Department of Psychology of the University of Basel, Switzerland, is seeking applicants for a postdoctoral position for a period of 2 years with the possibility to extend the position for further years. The salary will be very competitive and additional resources are available for funding experiments and conference travel.
Basel is situated at the river Rhine right at the border to France and Germany. It's a great place to live and work. Health care, quality of life, and public transportation meet the highest international standards.
Application / Contact
Please submit applications (consisting of a cover letter describing research interests, curriculum vitae and up to five preprints as a single PDF file, with the applicant's name as the file name, and two letters of recommendation) by the 1st of March to secretary-ep@unibas.ch. The position can begin as soon as possible, but later start dates are possible.
The University of Basel is an equal opportunity and family friendly employer committed to excellence through diversity. To increase the number of women in leading academic positions the university strongly encourages applications from women.
Please do not hesitate to send us an email for further inquiries. We are looking forward to your application!
Further information can be obtained from Prof. Dr. Jörg Rieskamp
Center for Economic Psychology, Department of Psychology, University of Basel, Missionsstrasse 62A, 4055 Basel, Switzerland. Email: secretary-ep@unibas.ch
www.unibas.ch
✔️ @ApplyTime