جزوه شیمی۱ جویبار تا میانترم
#جزوه #شیمی #جویبار

یازده موقعیت دکتری کامپیوتر

اروپا

As part of the HYBRIDS MSCA doctoral network (funded by the European Commission and UKRI), we are offering 11 PhD positions to work on topics related to automated fact-checking and abusive language detection, as well as other related topics.

Joint call: https://euraxess.ec.europa.eu/jobs/78878
Project details and to apply: https://hybridsproject.eu/jobs/

The available positions within the HYBRIDS project are the following:
• DC1: Towards an automatic characterization of micro-level structures in discourse from social networks (hosted by RU, the Netherlands)
• DC2: Analysis and measurement of the impact of political discourse in the citizen’s opinion (hosted by CiTIUS-USC, Spain)
• DC3: Identifying the stance of argumentative opinions in the political discourse (hosted by FBK, Italy)
• DC4: Analysis of political propagation campaigns in social networking platforms (hosted by UEVORA, Portugal)
• DC5: Analysis of the role of disinformation to automatically identify hate speech against immigrants on multilingual social environments (hosted by FBK, Italy)
• DC6: Detection of toxic bots in Twitter by analysing textual content (hosted by UNICAEN, France)
• DC7: Detection of hyperpartisan political news (hosted by CiTIUS-USC, Spain)
• DC8: Hybrid data generation and retrieval for the detection of online harassment (hosted by GESIS, Germany)
• DC9: Claim verification for fact-checking (hosted by NEWTRAL, Spain)
• DC10: Detecting harassment on social media beyond isolated messages (hosted by UDC, Spain)
• DC11: Cross-lingual claim detection for fact-checking (hosted by QMUL, United Kingdom)

موقعیت دکتری آمار و کامپیوتر

لندن

PhD studentship (UK home students), University College London
Deadline: 28th of April, 2023, closing of business hours (5pm BST)
 
A fully funded PhD studentship covering home fees and a stipend of about £22K for 4 years is available from a starting date in September 2023 (please notice that this does not cover students who do not qualify as UK home students).

The student will be supervised by Prof Ricardo Silva, from the Department of Statistical Science UCL and partially funded by dunnhumby. A description of the project is provided below.
 
The successful candidate will join the Centre for Doctoral Training (CDT) in Foundational Artificial Intelligence hosted by the Computer Science department (https://www.ucl.ac.uk/foundational-ai-cdt/foundational-artificial-intelligence-mphilphd). A unique aspect of the CDT is to give students the deep technical skills they require to be leading researchers in AI and also the skills to be a deep tech entrepreneur. As a member of the CDT, you will be expected to actively engage on cohort-based training activities designed to encourage interaction with other students on the CDT, through shared research, training and social experiences, including in AI and entrepreneurship.
 
How to apply: via https://www.ucl.ac.uk/foundational-ai-cdt/how-apply , mentioning in your application documents that you are interested in this particular project. Please notice that the deadline for this specific studentship is April 28th 2023, 5pm (BST).
 
Topic: Causality in retail data science
 

موقعیت پسداک
سوئد

Postdoc in Interactive AI for Interdisciplinary Artistic Practices at Chalmers University of Technology in Sweden. The deadline for applications is May 1st, 2023.   We are excited to share this position as a part of a new research group that I am initiating within my WASP-HS project. The focus of this Post-doctoral Fellowship is researching and understanding interactivity in the applications of Machine Learning and Artificial Intelligence in interdisciplinary art and technology practices. The position responsibilities include research and development of novel interactive systems using machine learning and artificial intelligence for artistic applications such as live performances, artwork installations, tools for artistic practices etc. The research methodologies cover exciting approaches such as research through design, soma design, and post-phenomenology. The research perspective takes a multidisciplinary position to pursue discussions in aesthetics, ethics, and societal aspects of Artificial Intelligence. The candidate is expected to work closely with the current research group members while actively engaging with the development and establishment of the new research group. We encourage candidates with a background in interdisciplinary Art and Technology topics, such as machine learning, artificial intelligence, evolutionary computation, computational creativity, co-creativity and augmented creativity with machines, embodied performance with technology, robotics, bio-art, music technology, sound synthesis, live coding, new interfaces for musical expression, musical performance, musical improvisation, virtual reality, augmented/extended reality, music-dance practices, cognitive science, cognitive and psychological computational models, human-computer interaction, soma-design, somaesthetics, etc. This postdoc position is a full-time temporary employment for three years, and the expected start date is September 1st, 2023. We are looking forward to receiving your applications. The full details of this position and the link to the application portal can be found at the official call page: https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=11530&rmlang=UK Please feel free to contact me if you have questions, Kıvanç Tatar, tatar@chalmers.se.

موقعیت دکتری کامپیوتر
کانادا

https://users.encs.concordia.ca/~impact/positions/?pos=2521

موقعیت پستداک
امریکا

open postdoc position at MI2 lab at Mayo Clinic, Arizona (https://lnkd.in/dParrBCf). The lab is led by Dr. Imon Banerjee, PhD and Dr. Bhavik Patel, MD who are also affiliated with Ira A. Fulton Schools of Engineering, Arizona State University. The lab focuses on cutting‐edge research at the intersection of imaging science and biomedical informatics, developing and applying AI methods to large amounts of medical data for biomedical discovery, precision medicine, and precision health (early detection and prediction of future disease).

The postdoctoral scholar will be working on two core research topics: (1) develop foundational AI methods for analyzing and extracting information from clinical texts and imaging; (2) develop clinical prediction models using multi-modal and longitudinal electronic medical records (EMR) . The scholar will deploy and evaluate these methods as clinical applications to transform medical care.
The position offers competitive salary and benefits. Lab will support the documentation of VISA for international students.

The position will start immediately.
Deadline: 15th April. 2023
Requirements:
Post-graduate degree (PhD or MD, completed or near completion) in computer science, engineering, biomedical data science, informatics, statistics, computational biology, or a related field, with a background or interest in imaging

· Experience in machine learning and AI, particularly in Natural Language Processing
· Strong record of distinguished scholarly achievement
· Outstanding communication and presentation skills with fluency in spoken and written English
· Established record of distinguished scholarly achievement

Please send cv/inquiries to ibanerj7@asu.edu.

سه موقعیت دکتری
انگلیس

3 x fully funded PhD projects are available to work on RL, Bayesian Optimization and ML. All projects feature an interdisciplinary supervisory team and have an industry partner associated with them, providing opportunities for placements and follow on employment.  
 
1 Mitigation of Reinforcement Learning Algorithms in Changing Environments
• EPSRC iCASE project with BAE Systems
• Generous stipend and funding for conferences/summer schools and personal development
• Co-Supervised by Wei Pan (Computer Science) and Theodore Papamarkou (Mathematics)
• UK/EU students only
• Application deadline 10 April; more details about the project can be found here
 
2 Advanced Bayesian Optimization for Complex and Sustainable Biopharmaceutical Production Design
• Based and funded by the ESRC funded CDT in Data Analytics & Society
• Project partner is Biopharm Services
• Co-supervised by Mauricio Alvarez (Computer Science)
• All students eligible
• Application deadline 10 April; more details about the project can be found here
 
3 Machine learning and data analytics for nurturing talent and performance profiling in cricket
• Based and funded by the ESRC funded CDT in Data Analytics & Society
• Project partner is England and Wales Cricket Board (ECB)
• All students eligible
• Application deadline 10 April; more details about the project can be found here
 
If you are interested in any of the projects, then do to not hesitate to contact me (richard.allmendinder@manchester.ac.uk) with an up-to-date CV.

موقعیت دکتری کامپیوتر
اروپا

highly motivated and skilled PhD candidate to work in the area of Reinforcement Learning (broadly speaking) in the Uncertainty in AI group of TU Eindhoven, The Netherlands. It is a full-time formal job and salaries are competitive. TU Eindhoven is an English-language university.

For more information regarding the position and how to apply, please follow this link:

https://jobs.tue.nl/en/vacancy/phd-position-in-reinforcement-learning-990306.html

سیزده موقعیت دکتری و‌ پستداک

تخصص 6G
اروپا

https://recruitment.uni.lu/en/index.html?LOV1=All&LOV2=6916&LOV3=All&LOV7=All&keywords=SIGCOM&Resultsperpage=50&srcsubmit=Search&statlog=1&ID=QMUFK026203F3VBQB7V7VV4S8&mask=karriereseiten&LG=UK

موقعیت دکتری کامپیوتر

آلمان

Machine Learning and Simulation Lab (IPVS, Department of Computer Science, University of Stuttgart), led by Mathias Niepert, invites applications for a full-time research position as a Ph.D. student (100% TV-L E 13). We are working on machine learning research with a focus on geometric deep learning, the synthesis of discrete (algorithmic) components and continuous learning systems, and the intersection of machine learning and the simulation sciences. If you are interested in our work (published regularly at ICML, NeurIPS, AAAI, EMNLP, IJCAI, and ICLR) please take a look at our website: http://matlog.net/publications.html

The Ph.D. project will be concerned with developing state-of-the-art machine learning methods for understanding and modeling physical systems governed by differential equations. Examples of such physical are flows of liquids and many-body particle systems. Machine learning promises to accelerate science and engineering by making simulations of physical systems more efficient. The research project will also be concerned with the design and development of machine learning approaches that incorporate and respect physical constraints such as symmetries and conservation laws. The aim is to use machine learning not simply as a black box but as a tool for discovering interpretable, mechanistic models of complex physical systems.

What We Will Offer

Using machine learning for problems in the sciences and engineering is a growing and ever more important area. For instance, several IT research labs are exclusively dedicated to addressing this research theme. Hence, a Ph.D. in this area will provide excellent future career opportunities both in academic and industrial research labs. We are a growing, international team working at the intersection of machine learning, the sciences, and engineering with real-world impact. We have a track record of publishing at top-tier conferences such as ICML, ICLR, and NeurIPS. We will provide you with a friendly but challenging interdisciplinary research environment and support your academic career toward accomplishing your Ph.D. You will have the opportunity to work with other researchers to develop innovative and useful machine learning methods. We work closely with domain experts from academia and industry and care deeply about the real-world impact of the methods we develop.

What we are looking for

Applicants for the position are required to have an M.Sc. in Computer Science, Physics, Engineering, or a related discipline. Due to the nature of the research project, we are specifically looking for applicants with knowledge of physics and engineering. Basic knowledge in the areas of artificial intelligence and machine learning is required. Experience with the programming language Python and deep learning frameworks such as PyTorch is advantageous. Excellent communication skills and the ability to work in an international team are indispensable for the position. Knowledge of German is a plus but not required.

Location: Universitätsstraße 32, 70569 Stuttgart, Germany.

Please submit your application in one PDF file including a letter of motivation, a curriculum vitae, and scans of all of your original transcripts and diploma certificates from each university degree (or stamped, official translations) by 15.4.2023, by email with the subject “ML4S – IPVS-MLS – (Your Name)” to ac_info@ipvs.uni-stuttgart.de. We will continue to screen applications until the position is filled.

چندین موقعیت دکتری و پسداک
اروپا

University of Amsterdam invites applications for postdoctoral and Ph.D. positions on the intersection of ML, NLP, and Computer Vision.  The research is funded by NWO (Dutch Science Foundation) grant of Ivan Titov (http://ivan-titov.org/). The postdocs and PhD students will be employed by the University of Amsterdam and will be members of the Institute for Logic, Language, and Computation and the Faculty of Science. The collaboration is envisaged with researchers at the University of Amsterdam (e.g., Efstratios Gavves, and Wilker Aziz), as well as at the University of Edinburgh (e.g., Edoardo Ponti, Hakan Bilen, Sidharth N., and Kenny Smith).

The research will focus primarily on two directions (or their intersections):
 
1) learning from language in grounded settings: exploiting knowledge embedded in language and language models to help solve decision-making applications and produce generalizable and interpretable models for these tasks
 
2) emergent communication and collaboration: developing agents which learn to communicate with humans, explain their predictions and decision strategies, and also improve with human feedback.

Application deadline: May 1, 2023, 17:00 (Netherlands)

For informal enquiries please contact:  Ivan Titov (titov@uva.nl) 

Please find more details by following the links:

Ph.D. positions:
https://vacatures.uva.nl/UvA/job/PhD-in-Machine-Learning-with-NLP-and-Computer-Vision/768463402/

Postdoc positions:
https://vacatures.uva.nl/UvA/job/Postdoctoral-Researcher-in-Machine-Learning-with-NLP-and-Computer-Vision/768462602/

دو‌موقعیت دکتری فول فاند
رشته برق
استرالیا


PhD scholarships at the Australian National University

Two PhD scholarships are to be created for students commencing in 2023. The PhD students will work with Prof. Nan Yang on research problems related to terahertz multiscale communications. Each scholarship would consist of a full tuition fee waiver plus a stipend of approximately AUD $28,000-$34,000 per year.

Candidate: Applicants should have a master or (four-year with Honours) bachelor degree, either completed or close to completion, with an excellent academic record, and have research experiences ideally demonstrated by high-quality publications. They should also have an interest in working on research problems related to terahertz multiscale communications. Both master students/graduates and top-performing bachelor students/graduates can apply.

Commencement date: Flexible commencement date, while expected to start in 2023.

Duration of PhD study: A typical duration is about 3 years to 3.5 years.

Other funding: Additional funding will be provided by both the project funding from Prof. Yang and the university to support student’s travel (e.g., conference trip and international university visit) and other professional development activities.

Teaching assistant opportunity: There will be opportunity for teaching assistantship with additional salary paid.

Contact: Please send an email to Prof. Yang (nan.yang@anu.edu.au) to express your interest and provide your CV and up-to-date academic transcripts for consideration.

هشتاد و نه موقعیت دکتری و پستداک
دانشگاه KTH سوئد
زمینه کاری مهندسی مواد

89 Fully Funded (46 PhD students and 43 Postdocs) are available at KTH Royal Institute of Technology, Stockholm, Sweden https://www.kth.se/en to a wide assortment of materials science projects with focus on sustainability.

موقعیت با فاند دکتری
کامپیوتر

دوبلین
سالی ۱۹۰۰۰ یورو

Location: Trinity College Dublin
School: School of Computer Science and Statistics
Funding for: EU and non-EU students
Funding amount: €19,000/year
Closing date: Wednesday 26th April
PhD starting time: 1/Sep/2023
Project details: Wearable sensors provide a continuous and unobtrusive way to monitor an individual’s health and well-being in their daily lives. However, interpreting and analyzing wearable sensor data is challenging. One important technique for analyzing such data is cluster analysis. Cluster analysis is a type of unsupervised machine learning that involves grouping data points into clusters based on their similarities. In the context of wearable sensor data, this can involve grouping together measurements of physiological parameters such as heart rate, respiratory rate, and activity level, as well as environmental data such as temperature and humidity. This project involves working on the cutting-edge of cluster analysis methods for sensor data. Different from traditional machine learning methods (for multivariate data), we will develop functional data clustering methods, motivated by the fact that sensor data can be naturally modelled by curves that denote continuous functions of time. You will be supervised by Dr Mimi Zhang (primary supervisor) and Dr. Shirley Coyle (co-supervisor). More information can be found here (Code: 2023TCD07): https://d-real.ie/d-real-2023-phd-topics/#2023TCD06
Salary: Each student who is admitted to this programme will receive a full scholarship to undertake a four-year structured PhD programme. This scholarship comprises full payment of university fees for four years and a tax-free stipend of €19,000 per annum for four years. In addition, a generous budget for conference travel, equipment, training, placement maintenance and publication costs is provided.
Candidate description: A Bachelor’s degree in statistics, math, computer science, or closely related subjects is required. The candidate is expected to have a sound theoretical and practical knowledge on statistics, as well as strengths in programming.
How to apply: Our D-REAL center will collect all the applications.  For more information on how to apply, please visit here: https://d-real.ie/apply-to-d-real/

موقعیت دکتری کامپیوتر

اروپا


fully-funded PhD position in the Data and Artificial Intelligence Cluster (https://dai.win.tue.nl) of the Faculty of Mathematics and Computer Science at Eindhoven University of Technology (TU/e) with a focus on knowledge graph management. It is a full-time formal job and salaries are competitive. TU/e is an English-language university. If you or someone you know is interested in research into knowledge graph system engineering, in a vibrant, dynamic, collaborative, and very international team, please check out the following link:

https://jobs.tue.nl/en/vacancy/phd-in-knowledge-graph-creation-management-and-analytics-990155.html

موقعیت دکتری سه ساله
فرانسه

3-year PhD fellowship in Computer Science at Aix-Marseille University (France). This is an interdisciplinary project that proposes to apply multimodal and deep learning approaches for the study of human interaction and its brain basis.

For more information, please see: https://www.lis-lab.fr/wp-content/uploads/2023/04/PhD_thesis_convergence-1.pdf

Application deadline: May 15th, 2023

موقعیت فول فاند پنجساله دکتری
اروپا

fully funded 5-year PhD-TA position (75% research, 25% teaching) in the Data Mining group, at the department of Mathematics and Computer Science, TU Eindhoven, the Netherlands, on the topic of Efficient Algorithms for Exceptional Model Mining on Time-Varying Data.

If you know an excellent candidate, please send them the vacancy link:
https://jobs.tue.nl/en/vacancy/phdta-exceptional-model-mining-on-timevarying-data-993500.html
If you are an excellent candidate, please apply.

To read more about the research project, please consult the following document:
https://wwwis.win.tue.nl/~wouter/20230329-out-M4M.pdf

To all companies in my network: Università di Trento has several opportunities for co-funding 3-year PhD scholarships in collaboration with industry. Please send me a message in case you are interested, especially on topics related to machine learning and optimization applied to industrial problems. UniTrento DISI UniTrento - IECS Doctoral School Doctorate Program in Industrial Innovation.


♦️ در لینکدین باید پیام فرستاده شود:
https://www.linkedin.com/in/giovanniiacca/

🇦🇺 PhD position, Monash University, Australia

☑️ Mathematics, Cyber security, cryptography, Blockchain

👨‍🏫 Dr. Muhammed Esgin:

We got several fully-funded PhD positions #CyberSecurity group in post-#quantum cryptography, zero-knowledge proofs and/or #blockchain.

Please share with anyone who may be interested!

To apply, please see

https://mfesgin.github.io/supervision/

مونترئال
کنکوردیا
AI, speech recognition