Uli Sattler
Top university
4 months ago
PhD Opportunity in Automated Theorem Proving and Large Language Models at The University of Manchester The University of Manchester in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Scholarships are available for selected students to join the project. Details on stipend amount, tuition coverage, or other financial specifics are not provided.
Deadline
Expired
Country
United Kingdom
University
The University of Manchester

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About this position
The University of Manchester is offering an exciting PhD opportunity at the intersection of automated theorem proving, large language models (LLMs), and pure mathematics. The project is supervised by Prof. Uli Sattler, Dr. Dominik Winterer, and Lecturer Anirbit Mukherjee, all based in the Department of Computer Science.
The research aims to advance the use of LLMs in mathematical theorem proving, leveraging tools like Lean to explore which areas of mathematics are most amenable to automation. The supervisors are seeking students with strong backgrounds in pure mathematics and/or experience with LLMs, who are passionate about AI for science and mathematical conjectures. Scholarships are available for successful applicants, though specific funding details are not disclosed. Interested candidates should consult the project details on FindAPhD.com and prepare to demonstrate their relevant expertise.
This is a unique opportunity to contribute to cutting-edge research in AI and mathematics at a leading UK institution.
Funding details
Scholarships are available for selected students to join the project. Details on stipend amount, tuition coverage, or other financial specifics are not provided.
What's required
Applicants should have rigorous training in either pure mathematics and/or experience with large language models (LLMs). A strong background in mathematical reasoning and interest in automated theorem proving is preferred. No specific GPA or language test requirements are mentioned.
How to apply
Interested students should review the project details on FindAPhD.com and follow the application instructions provided in the linked pages. Prepare to demonstrate your background in pure mathematics or LLMs. Contact the supervisors if further information is needed.
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