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Research Scientist in the Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) - Dr. Pierre Youssef
New York University
Application
Details
Posted: 25-Nov-25
Location: Abu Dhabi, UAE
Internal Number: 178219
The Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi 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
Preference will be given to candidates with strong background in machine learning and mathematical reasoning and experience in one or more of the following:
Large Language Models (LLMs), multi-agent systems, or reinforcement learning.
Formal proof assistants (Lean, Coq, Isabelle, or similar).
Programming.
Strong mathematical maturity.
Requirements:a Bachelor’s degree in mathematics or computer science, with evidence of strong mathematical and computational skills.
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 pages summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format.
Further questions may be directed to Professor Pierre Youssef at yp27@nyu.edu. About NYU Abu Dhabi
NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
UAE Nationals are encouraged to apply.
For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
NYU 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 age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
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