Tenured/Tenure-track Faculty Position in Mathematical Artificial Intelligence

Indiana University Academic Positions • Bloomington, IN

7d • Onsite

About The Position

As part of Indiana University Bloomington’s Faculty 100 initiative, the Department of Mathematics in the College of Arts and Sciences invites applications for an open-rank position (Assistant, Associate, or Full Professor) to begin in Fall 2027. These are 10-month appointments, ideally beginning August 1, 2027. We seek an outstanding mathematician whose research engages substantially with artificial intelligence, data science, or scientific machine learning. The successful candidate will have a primary appointment in Mathematics and opportunities to collaborate broadly with faculty in the Luddy School of Informatics, Computing, and Engineering, Data Science, Statistics, the Institute for Scientific Computing and Applied Mathematics, and scientific units across our campus. We are particularly interested in researchers working in mathematical artificial intelligence, broadly construed. This includes, but is not limited to: machine learning algorithms, formal proof assistants, and large language models. Areas of interest for possible collaborations include but are not limited to: topological data analysis and topological machine learning; AI-assisted theorem proving, formal verification, proof assistants, automated proof search, and AI-guided mathematical discovery; neural operators, physics-informed learning, inverse problems, uncertainty quantification, and rigorous methods for differential equations and scientific machine learning; geometric deep learning, manifold learning, equivariant methods, high-dimensional geometry, and structure-aware learning; and the mathematical foundations of trustworthy AI, including stability, robustness, verification, interpretability, and generalization. Candidates whose work connects rigorous mathematics with modern computation and complements departmental strengths in topology, algebraic topology, analysis, partial differential equations, geometric analysis, probability, logic, formal methods, and experimental mathematics will be given preference. We encourage applications from scholars who apply interdisciplinary perspectives across a variety of these domains.

Requirements

• Outstanding mathematician whose research engages substantially with artificial intelligence, data science, or scientific machine learning.
• Ability to work effectively in a team environment.
• Ability to build connections between mathematics, the joint B.S. program with Luddy Data Science, and AI- and data-intensive research across campus.
• Demonstrated experience, research, teaching, and mentoring that will support the university’s commitment to an inclusive academic community.

Nice To Haves

• Candidates whose work connects rigorous mathematics with modern computation and complements departmental strengths in topology, algebraic topology, analysis, partial differential equations, geometric analysis, probability, logic, formal methods, and experimental mathematics will be given preference.
• Scholars who apply interdisciplinary perspectives across a variety of these domains.

Responsibilities

• Sustain an active, externally funded research program.
• Engage undergraduate and graduate students through effective teaching and mentoring.
• Contribute to curricular development in mathematical AI.
• Participate in service to the university and the profession.
• Work effectively in a team environment.
• Build connections between mathematics, the joint B.S. program with Luddy Data Science, and AI- and data-intensive research across campus.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed