爱丁堡大学机器学习全奖博士
8841
PhD studentship in Machine Learning @ University of Edinburgh
Fully funded, full-time PhD positions are available to work with Dr Fengxiang He at the School of Informatics, University of Edinburgh.
The research focuses of this post could be deep learning theory, reinforcement learning, algorithmic game theory, and their applications in economics, such as auction, voting, and resource allocation.
Candidate’s profile
A good Bachelor’s degree (First Class Honours or international equivalent) and/or Master’s degree in a relevant subject (mathematics, statistics, economics, or related subject).
A strong mathematical background, with an emphasis on analysis, algebra, geometry, differential equation, probability, and statistics. Recipients of mathematics competition medals are highly desirable.
Proficiency in English (both oral and written).
Relevant research experiences in machine learning, statistics, etc. are desirable but not necessary.
Programming skills in Python, PyTorch, TensorFlow, etc. are a plus but not necessary.
Contact
Applicants are highly encouraged to contact Dr Fengxiang He ([email protected]) to discuss your case.
Supervisor
Dr Fengxiang He is a Lecturer at Artificial Intelligence and its Applications Institute, School of Informatics, University of Edinburgh. His research interest is in trustworthy AI, particularly deep learning theory and explainability, reinforcement learning, decentralised learning, privacy and fairness in machine learning, symmetry in machine learning, algorithmic game theory, and their applications in economics and finance. He is an Area Chair of ICML, NeurIPS, UAI, AISTATS, ECAI, and ACML, and an Associate Editor of IEEE Transactions on Technology and Society. Please visit fengxianghe.github.io for more information.
Environment
The University of Edinburgh is constantly ranked among the world’s top universities and is a highly international environment with several centres of excellence.
The School of Informatics is one of the largest in Europe and currently the top Informatics institute in the UK for research power, with 40% of its research outputs considered world-leading (top grade), and almost 50% considered top grade for societal impact.
The School of Informatics is exceptionally strong in the area of AI and Theoretical Computer Science, hosting one of the largest group for AI and Foundations of Computer Science in the world. The successful applicant will be part of the Artificial Intelligence and its Applications Institute and will have the opportunity to interact with the other members of the group and more widely within the School of Informatics.
I look forward to receiving your applications!
Fully funded, full-time PhD positions are available to work with Dr Fengxiang He at the School of Informatics, University of Edinburgh.
The research focuses of this post could be deep learning theory, reinforcement learning, algorithmic game theory, and their applications in economics, such as auction, voting, and resource allocation.
Candidate’s profile
A good Bachelor’s degree (First Class Honours or international equivalent) and/or Master’s degree in a relevant subject (mathematics, statistics, economics, or related subject).
A strong mathematical background, with an emphasis on analysis, algebra, geometry, differential equation, probability, and statistics. Recipients of mathematics competition medals are highly desirable.
Proficiency in English (both oral and written).
Relevant research experiences in machine learning, statistics, etc. are desirable but not necessary.
Programming skills in Python, PyTorch, TensorFlow, etc. are a plus but not necessary.
Contact
Applicants are highly encouraged to contact Dr Fengxiang He ([email protected]) to discuss your case.
Supervisor
Dr Fengxiang He is a Lecturer at Artificial Intelligence and its Applications Institute, School of Informatics, University of Edinburgh. His research interest is in trustworthy AI, particularly deep learning theory and explainability, reinforcement learning, decentralised learning, privacy and fairness in machine learning, symmetry in machine learning, algorithmic game theory, and their applications in economics and finance. He is an Area Chair of ICML, NeurIPS, UAI, AISTATS, ECAI, and ACML, and an Associate Editor of IEEE Transactions on Technology and Society. Please visit fengxianghe.github.io for more information.
Environment
The University of Edinburgh is constantly ranked among the world’s top universities and is a highly international environment with several centres of excellence.
The School of Informatics is one of the largest in Europe and currently the top Informatics institute in the UK for research power, with 40% of its research outputs considered world-leading (top grade), and almost 50% considered top grade for societal impact.
The School of Informatics is exceptionally strong in the area of AI and Theoretical Computer Science, hosting one of the largest group for AI and Foundations of Computer Science in the world. The successful applicant will be part of the Artificial Intelligence and its Applications Institute and will have the opportunity to interact with the other members of the group and more widely within the School of Informatics.
I look forward to receiving your applications!
