Physics/AI Jobs

As a hub for the intersection of Physics and AI in the Boston area and beyond, we are happy to share job opportunities at this intersection as we become aware of them.

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IAIFI Jobs

Faculty Opportunities

Postdoc Opportunities

Postdoctoral researchers at any of the partner institutions may collaborate with IAIFI researchers to become a Junior Investigator.

Graduate Student Opportunities

IAIFI does not have a dedicated PhD program, but PhD students at any of the partner institutions may collaborate with IAIFI researchers to become a Junior Investigator.

Academic Opportunities

Faculty Opportunities

Assistant/Associate Professor of AI/ML in Physics and Astronomy
The University of Alabama
Deadline: 2024-08-01 | Apply

Details The University of Alabama College of Arts and Sciences invites applications for three Assistant or Associate Professor rank tenured/tenure-track positions at the interface of Artificial Intelligence, Machine Learning and Physics and Astronomy, Chemistry and Geological Sciences, as part of a machine learning focused cluster hire, with the expected starting date of August 2024. Successful candidates for the first position Machine Learning and AI in Physics or Astronomy will be expected to augment the departments strengths in the areas of experimental and theoretical high energy particle physics, observational astronomy and astroparticle physics, theoretical astrophysics, theoretical and experimental condensed matter physics, and precision timing. The successful candidate will work on the development and application of machine learning/AI techniques in one or more of these areas.

Tenure-track or Tenured Professor in Computer Science and Kempner Institute Investigator
Harvard John A. Paulson School of Engineering and Applied Sciences
Deadline: 2023-12-15 | Apply

Details The Computer Science area of the John A. Paulson School of Engineering and Applied Sciences (SEAS) and the Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University are seeking applicants for a tenure-track or tenured position specializing in Machine Learning and Artificial Intelligence, with an expected start date of July 1, 2024. We are particularly interested in candidates with strong foundations in deep learning, generative AI, foundational models, and LLMs, with interest to apply these technologies to one or more domains including computational biology and the sciences, NLP, and computer vision. The successful candidate will be expected to lead an innovative research program that advances our understanding of and increases innovation in AI and ML, encompassing the development of new methodologies and models.

Open-Rank Faculty Positions in AI/ML
Georgia Tech
Deadline: 2023-11-15 | Apply

Details The School of Physics at the Georgia Institute of Technology invites applications for two open-rank tenure-track faculty positions at the interface between machine learning and physics. We anticipate hiring faculty working on advancing machine learning methodology as applied to quantum science, astrophysics, physics of living systems, nonlinear science, soft matter physics or other related areas. The faculty will be part of a new initiative to catalyze machine-learning-driven research in the School of Physics and will benefit from substantial expertise and resources in artificial intelligence and machine learning that already exist in the Colleges of Sciences, Engineering, and Computing. Appointments at senior ranks will be considered for candidates with established and internationally recognized research programs. Candidates are expected to have received a doctorate in Physics or a related discipline and demonstrate a record of advancing the methodology and applications of machine learning in Physics. Successful candidates will have expertise in teaching, scholarship, and/or service.

Postdoc Opportunities

Postdoctoral Position in Reinforcement Learning and Operations Research
Inter-University Research Center on Enterprise Networks, Logistics, and Transportation (CIRRELT) - Montreal, Canada
Deadline: 2024-04-30 | Apply

Details This project aims to harness the power of deep reinforcement learning (DRL) to solve online stochastic optimization problems (OSOPs). The main objective of this project is to show that gamification presents an opportunity to extend the achievements of the DRL community to solve hard OSOPs by using new problem formulations that apply a visual representation to classical problem models.

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