【全奖博士】爱丁堡大学AI全奖博士
21535
PhD in AI Theory @ University of Edinburgh
Fully funded, full-time PhD positions to work in the field of AI theory, with emphasis on deep learning theory and explainability, theory of decentralised learning, symmetry in machine learning, learning theory in game-theoretical problems, and their applications in economics and finance, with Dr Fengxiang He at the Artificial Intelligence and its Applications Institute, School of Informatics, University of Edinburgh.
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 (1point3acres.com) to discuss your case.
Visiting Scholar/Intern positions are also possible. Please contact Dr He if you are interested.
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. The School is exceptionally strong in the area of AI and Theoretical Computer Science, hosting one of the largest groups 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.
Supervisor
Dr Fengxiang He is Lecturer at Artificial Intelligence and its Application Institute, School of Informatics, University of Edinburgh. He received BSc in statistics from University of Science and Technology of China, MPhil and PhD from the University of Sydney. His research interest is trustworthy AI, with emphasis on deep learning theory and explainability, theory of decentralised learning, symmetry in machine learning, learning theory in game-theoretical problems, and their applications in economics and finance. He is a member of IEEE's Global Initiative on XR Ethics, AI/ML Terminology and Data Formats Working Group, Decentralized Metaverse Initiative, and Ethical Assurance of Data-Driven Technologies for Mental Healthcare. He is an Area Chair of UAI, AISTATS, and ACML. Please visit fengxianghe.github.io for more information.
Fully funded, full-time PhD positions to work in the field of AI theory, with emphasis on deep learning theory and explainability, theory of decentralised learning, symmetry in machine learning, learning theory in game-theoretical problems, and their applications in economics and finance, with Dr Fengxiang He at the Artificial Intelligence and its Applications Institute, School of Informatics, University of Edinburgh.
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 (1point3acres.com) to discuss your case.
Visiting Scholar/Intern positions are also possible. Please contact Dr He if you are interested.
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. The School is exceptionally strong in the area of AI and Theoretical Computer Science, hosting one of the largest groups 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.
Supervisor
Dr Fengxiang He is Lecturer at Artificial Intelligence and its Application Institute, School of Informatics, University of Edinburgh. He received BSc in statistics from University of Science and Technology of China, MPhil and PhD from the University of Sydney. His research interest is trustworthy AI, with emphasis on deep learning theory and explainability, theory of decentralised learning, symmetry in machine learning, learning theory in game-theoretical problems, and their applications in economics and finance. He is a member of IEEE's Global Initiative on XR Ethics, AI/ML Terminology and Data Formats Working Group, Decentralized Metaverse Initiative, and Ethical Assurance of Data-Driven Technologies for Mental Healthcare. He is an Area Chair of UAI, AISTATS, and ACML. Please visit fengxianghe.github.io for more information.
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