About the Role
The Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at the company seeks to recruit a highly motivated researcher to work within its foundation cluster, led by Professors Pierre Youssef, Keith Ross, and Saurabh Ray.
The position will contribute to CIDSAI’s efforts to design AI systems that advance scientific and mathematical discovery, combining machine learning, reasoning, and human-AI collaboration. Successful candidates will work in a dynamic research environment at the intersection of data science, artificial intelligence, and mathematics, alongside faculty and researchers across disciplines.
The successful candidate will contribute to one or more of the following components:
- Reinforcement Learning for Reasoning
- Formal Verification and Lean Automation
- AI-Assisted Collaboration and Problem Formulation
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Requirements
Preference will be given to candidates with a strong background in machine learning and mathematical reasoning, as well as experience in one or more of the following areas:
- Large Language Models (LLMs), multi-agent systems, or reinforcement learning
- Formal proof assistants (Lean, Coq, Isabelle, or similar)
- Programming
- Strong mathematical maturity
A Bachelor’s degree in mathematics or computer science is required, along with evidence of strong mathematical and computational skills.
Contract and Benefits
The appointment is for two years, with the possibility of renewal. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a maximum three-page summary of research accomplishments and interests, and at least two letters of recommendation, all in PDF format.
Diversity and Inclusion
UAE Nationals are encouraged to apply. The company is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to various legally protected statuses, ensuring equal access and fostering academic excellence in learning, research, and teaching.
