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PhD Studentship in Machine Learning Theory & Economics

The University of Edinburgh - School of Informatics

Qualification Type: PhD
Location: Edinburgh
Funding for: UK Students, EU Students, International Students
Funding amount: £18,622
Hours: Full Time
Placed On: 16th November 2023
Closes: 5th January 2024

Deadline: 5 January 2024 (or until the position is filled)

One fully funded, full-time PhD position to work with Dr Fengxiang He at the Artificial Intelligence and its Applications Institute (AIAI), School of Informatics, University of Edinburgh on a project titled “Machine Learning Theory & Economics”.

The aim of this project could be in deep learning theory, privacy in machine learning, theory of decentralised learning, symmetry in machine learning, learning theory in game-theoretical problems, and their applications in economics.

Candidate’s profile

  • A Bachelor’s Hons degree (at class 2.1 or above, or international equivalent) and/or Master’s degree in a relevant subject.
  • A strong mathematical background, with an emphasis on 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 are desirable but not necessary.
  • Programming skills are a plus but not necessary.

Studentship and eligibility

The School funded studentship starting in the academic year 2023/24 covers:

  • Full time PhD tuition fees for a student with a Home fee status (£4,712 per annum) and/or overseas fee status (£29,700 per annum).
  • A tax-free stipend of £18,622 per year for 3.5 years.
  • Additional programme costs of £1,000 per year.

Application Information

Applicants should apply via the University’s admissions portal (EUCLID) and apply for the following programme: AIAI: Foundations and Applications of Artificial Intelligence, Automated Reasoning, Agents, Data Intensive Research

Applicants should state “Machine Learning Theory & Economics” and the research supervisor (Dr Fengxiang He) in their application and Research Proposal document.

Complete applications submitted by 5 January 2024 will receive full consideration; after that date applications will be considered until the position is filled. The anticipated start date is 1 May 2024 (Home applicants only), 1 September 2024 (Home and International applicants), or later depending on immigration requirements of the successful applicant.

Applicants must submit:

  • All degree transcripts and certificates (and certified translations if applicable).
  • Evidence of English Language capability (where applicable).
  • A short research proposal (max 2 pages).
  • A full CV and cover letter describing your background, suitability for the PhD, and research interests (max 2 pages).
  • Two references (note that it the applicant’s responsibility to ensure reference letters are received before the deadline).

Only complete applications (i.e., those that are not missing the above documentation) will progress forward to Academic Selectors for further consideration.

Contact

Applicants are highly encouraged to contact Dr Fengxiang He at F.He@ed.ac.uk to discuss their cases before submissions.

Environment

The University of Edinburgh is constantly ranked among the world’s top universities and is a highly international environment. 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. The successful applicant will be part of AIAI and will have the opportunity to interact with the other members of AIAI and more widely within the School of Informatics.

Apply: PhD studentship in Machine Learning Theory & Economics | The University of Edinburgh

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