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
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
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.
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/
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.
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.
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/
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
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
www.tue.nl
Vacancies
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
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
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/
♦️ 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/
☑️ 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/
دو موقعیت دکتری یادگیری عمیق
اروپا
two PhD candidates who have a strong passion for various aspects of deep learning, including self-supervised learning, interpretability, cooperative deep learning, continual learning, multimodal learning, small-footprint models, graph neural networks, deep generative models, and out-of-distribution generalization.
The candidates will be supervised by Prof. Mirco Ravanelli (Concordia University) and Prof. Cem Subakan (Université Laval).
We encourage you to apply as soon as possible. Please check out the link below for more information and to submit your application:
https://drive.google.com/file/d/1iTcSplru8GZzntmwgJApDmMCHb2UZUc-/view
اروپا
two PhD candidates who have a strong passion for various aspects of deep learning, including self-supervised learning, interpretability, cooperative deep learning, continual learning, multimodal learning, small-footprint models, graph neural networks, deep generative models, and out-of-distribution generalization.
The candidates will be supervised by Prof. Mirco Ravanelli (Concordia University) and Prof. Cem Subakan (Université Laval).
We encourage you to apply as soon as possible. Please check out the link below for more information and to submit your application:
https://drive.google.com/file/d/1iTcSplru8GZzntmwgJApDmMCHb2UZUc-/view
Highest Paying Jobs | Best Jobs Rankings | US News Careers.pdf
1004.1 KB
🔴 اینم ۲۵ شغل پر درآمد دنیا از سایت معتبر US News برای سال 2022
علم_سنجی_چیست؟_آشنایی_با_علم_سنجی_و_شاخص_های_مربوط_به_آن_|_ایران.pdf
439.7 KB
♦️ آشنایی با پارامتر ها و فاکتور های مختلف مقالات علمی
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پک_کامل_نمونه_سوالات_مهم_امتحانی_و_لکچر_های_الکترونیک_سب_امتحانات.zip
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• مناسب امتحانات میدترم، فاینال ترم، کنکور ارشد و دکتری و المپیاد دانشجویی
پادکست سمتالک :
در مورد روانشناسی مهاجرت صحبت می کنند ،در یوتوب هم یک مجموعه به نام خانه کجاست دارند که با مهاجران ایرانی در مورد مهاجرت صحبت میشه
https://castbox.fm/va/4703994
این پادکست ها هم با کسانی که مهاجرت کردن صحبت کردن و از مسائل مختلف میگن .بیشتر در مورد بعد از مهاجرت هست ،ک چه چیز هایی و انتظار نداشتن و یا با شوک فرهنگی مواجه شدن و...
پادکست رادیو دال:
https://castbox.fm/va/1210932
پادکست سالن پرواز:
https://castbox.fm/va/3977411
در مورد روانشناسی مهاجرت صحبت می کنند ،در یوتوب هم یک مجموعه به نام خانه کجاست دارند که با مهاجران ایرانی در مورد مهاجرت صحبت میشه
https://castbox.fm/va/4703994
این پادکست ها هم با کسانی که مهاجرت کردن صحبت کردن و از مسائل مختلف میگن .بیشتر در مورد بعد از مهاجرت هست ،ک چه چیز هایی و انتظار نداشتن و یا با شوک فرهنگی مواجه شدن و...
پادکست رادیو دال:
https://castbox.fm/va/1210932
پادکست سالن پرواز:
https://castbox.fm/va/3977411
Jacob Chakareski:
Associate Professor at New Jersey Institute of Technology:
We have two PhD openings (full-time or visiting) in our lab (NextG AI-Enabled Wireless XR Systems and Societal Applications) at NJIT, at the intersection of AI and VR, with a focus on a medical application, to develop an intelligent system for automated orientation and mobility training of low-vision persons (Fall 2023). The positions are part of an ongoing NIH project (https://lnkd.in/g3mV-mjD). Candidates with background in ECE, CS, or the vision sciences are encouraged to apply. Experience in Unity 3D, python, and ML methods is recommended.
The positions are fully funded, inclusive of summer support. They are sponsored by external federal and industry funding, and provide ample opportunities for collaboration and career advancement. To apply, please email promptly your CV, a description of your research interests and background, your course transcripts, and a list of three references. Please include any related papers. For info on our studies, you can visit:
https://lnkd.in/g_4evUfF, www.jakov.org, https://lnkd.in/dbRV4q4B. #career #training #healthcare #opportunities #research #students #studentjobs #vr #ar #rl #ai #fso #millimeterwave #wirelessnetworks #phd #engineering #video #network #python #experience #5g #ml #iot #networking #project #communications #computerscience
Associate Professor at New Jersey Institute of Technology:
We have two PhD openings (full-time or visiting) in our lab (NextG AI-Enabled Wireless XR Systems and Societal Applications) at NJIT, at the intersection of AI and VR, with a focus on a medical application, to develop an intelligent system for automated orientation and mobility training of low-vision persons (Fall 2023). The positions are part of an ongoing NIH project (https://lnkd.in/g3mV-mjD). Candidates with background in ECE, CS, or the vision sciences are encouraged to apply. Experience in Unity 3D, python, and ML methods is recommended.
The positions are fully funded, inclusive of summer support. They are sponsored by external federal and industry funding, and provide ample opportunities for collaboration and career advancement. To apply, please email promptly your CV, a description of your research interests and background, your course transcripts, and a list of three references. Please include any related papers. For info on our studies, you can visit:
https://lnkd.in/g_4evUfF, www.jakov.org, https://lnkd.in/dbRV4q4B. #career #training #healthcare #opportunities #research #students #studentjobs #vr #ar #rl #ai #fso #millimeterwave #wirelessnetworks #phd #engineering #video #network #python #experience #5g #ml #iot #networking #project #communications #computerscience
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