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-Adjacent Jobs

The following positions are at IAIFI-affiliated universities and therefore have the potential for IAIFI involvement; they are not necessarily directly hired by IAIFI.

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.

Other Opportunities

Academic Opportunities

Faculty Opportunities

Assistant Professor in DS/AI for Science & Engineering

Boston University
Deadline: 2026-12-01 | Apply

Details Boston University (BU) invites applications for a tenure-track assistant professor position in the Faculty of Computing & Data Sciences (CDS). All candidates pursuing foundational or use-inspired Data Science (DS) or Artificial Intelligence (AI) research will be considered. Candidates working in one or more of the following broad areas of AI for Science research are especially encouraged to apply: DS/AI-driven Bioinformatics, Computational Biology, and Life Sciences; DS-AI-driven Natural, Physical, and Earth Sciences; DS/AI for science methodologies, frameworks, and platforms.

Assistant/Associate/Full Professor, Khoury College of Computer Sciences

Northeastern University
Deadline: 2026-11-15 | Apply

Details The Khoury College of Computer Sciences at Northeastern University has multiple tenure-track/tenured faculty positions at all ranks (Assistant Professor, Associate Professor, Full Professor), beginning academic year 2027-28 or 2028-29. The tenure home for this position will reside in the Khoury College of Computer Sciences, with a potential joint appointment in another Northeastern College (Bouvé College of Health Sciences; College of Art, Media, and Design; College of Engineering; College of Science; College of Social Sciences and Humanities; D’More-McKim School of Business; Mills College; School of Law), to be determined in consultation with the successful candidate. Academic rank at the Associate Professor and Full Professor levels will be commensurate with experience and qualifications reflecting a record of demonstrated teaching and scholarly excellence. We will consider candidates across all areas of computer science, whose research connects to the following sub-areas of AI: Physical AI; Human Centered AI; AI and Software Engineering; AI Safety, Security and Alignment.

MIT Assistant Professor, Center for Theoretical Physics — a Leinweber Institute

MIT Physics Department
Deadline: 2026-12-01 | Apply

Details The Physics Department of the Massachusetts Institute of Technology, located in Cambridge, MA, invites applications for a tenure-track faculty position in theoretical high-energy, nuclear, gravitational, and/or quantum physics, beginning July 1, 2027 or as soon as possible thereafter. We encourage applicants doing relevant research at any energy scale, including particle theory in and beyond the Standard Model; nuclear astrophysics; cosmology, dark matter and astroparticle physics; quantum field theory; QCD and strong interactions; string theory, classical and quantum gravity, holography, and mathematical physics; and theoretical quantum information science.

Assistant Professor in AI/ML

University of California, Irvine
Deadline: 2026-12-01 | Apply

Details The Department of Computer Science in the Donald Bren School of Information and Computer Sciences at the University of California, Irvine invites applications for a tenure-track/tenured position in artificial intelligence and machine learning (broadly interpreted), starting July 1, 2027. The appointment is expected to be at the rank of Assistant Professor. Exceptionally well-qualified senior candidates with high international visibility and major awards may be considered for an appointment at a higher rank.

Tenure-Track Professor in Computer Science

Harvard John A. Paulson School of Engineering and Applied Sciences / Kempner Institute
Deadline: 2026-11-15 | Apply

Details The Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) seeks applicants for a tenure-track position in Computer Science, with an expected start date of July 1, 2027. We invite applicants bridging AI with other areas of Computer Science.

Open-Rank, Tenured/Tenure-Track Position in Physics - Artificial Intelligence/Machine Learning

School of Physics, Georgia Institute of Technology, Atlanta, Georgia
Deadline: 2026-11-15 | Apply

Details The School of Physics (https://physics.gatech.edu/) at the Georgia Institute of Technology in Atlanta, Georgia invites applications for an open-rank tenured/tenure-track faculty position at the interface between machine learning and physics. Applicants will be considered at all ranks. 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 an 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. Candidates are expected to demonstrate an exceptional commitment to the teaching and mentoring of students. Appointments at senior ranks will be considered for candidates with established and internationally recognized research programs.

Assistant Professor in Statistics

The London School of Economics London, UK
Deadline: 2026-12-13 | Apply

Details We seek to appoint an Assistant Professor in the field of data science and statistics at the Department of Statistics, London School of Economics (LSE). You should have expertise and research interests in statistics, data science, or machine learning. You will have a track record or trajectory of internationally excellent publications, proven ability, as evidenced by existing publications, or potential to publish in top conferences or journals You will also have a clear, well-developed and viable strategy for future outstanding research that has the potential to result in world-leading publications. You must have a completed PhD, or close to obtaining a PhD in statistics or related areas such as computer science or mathematics by the post start date.

Postdoc Opportunities

AstroAI Fellows

Harvard & Smithsonian Center for Astrophysics
Deadline: 2026-12-10 | Apply

Details The AstroAI Fellows program seeks to advance the integration of artificial intelligence in astrophysical research by attracting exceptional early-career researchers. Fellows will engage in innovative projects at the intersection of AI and astrophysics, fostering interdisciplinary, multi-investigator, and cross-subfield collaborations. AstroAI Fellows enjoy a high degree of academic freedom in defining their research directions within the broad AstroAI framework. While all innovative proposals at the intersection of AI and astrophysics are welcome, special consideration will be given to projects focused on (1) the search for biosignatures in exoplanet atmospheres, and (2) the development and application of Physical Generative AI models—AI generative models that respect fundamental physical principles. Each Fellow will be co-mentored by two advisors—one from astrophysics and one from AI—reflecting the program’s interdisciplinary mission.

Postdoctoral Fellowships

MIT Kavli Institute
Deadline: 2026-12-11 | Apply

Details The MIT Kavli Institute (MKI) for Astrophysics and Space Research invites applications for two fellowships, the MIT Kavli Postdoctoral Fellowship in Astrophysics and the Juan Carlos Torres Fellowship in Astrophysics. The appointment will be made to two outstanding researchers displaying significant promise in any area of astrophysics, including theory, observation, or instrumentation, and embodying core values of inclusion and belonging.

Postdoctoral Researcher

University of Montreal
Deadline: 2026-11-04 | Apply

Details Postdoctoral researchers to be hired for three areas: 1. Reinforcement learning: scaling deep RL to large models, generalization, exploration, continual and real-time RL, and RL for LLM reasoning; 2. Robotics and foundation models: vision-language(-action) models, robot learning from large and diverse datasets, adapting foundation models to new embodiments and tasks, and real-world deployment; 3. Automated science: AI agents and robots that design, run, and learn from experiments, including self-driving labs and closed-loop scientific discovery.

S. Scott Collis Fellowship in Data Science

Sandia National Laboratories
Deadline: 2026-11-30 | Apply

Details The S. Scott Collis Fellowship in Data Science seeks applicants with a demonstrated background and interest in the interdisciplinary domain of data science. Collis Fellows in Data Science work at the junction of cutting-edge data science techniques and Sandia’s national security mission and application space. Data science at Sandia emphasizes the analysis and interpretation of scientific, engineering, and observational (sensor) data, including development of scientific models, pattern identification, prediction, and knowledge extraction. Relevant analysis techniques range from artificial intelligence to advanced statistical methods, to optimization techniques, to methods designed for specialized hardware, and beyond. Examples of the scientific and engineering applications relevant to Sandia’s diverse missions include nuclear deterrence and nonproliferation, numerical modeling and scientific simulation , energy systems and power grid, cyber security, operations research, geospatial analysis, neuromorphic computing , quantum computing, and many other national security domains.

Research Lead: Physics and Machine Learning

DeepPsi
Apply

Details DeepPsi is a physics spinout of Liang Fu's lab at MIT, so research is our bread and butter. We build foundation models trained on quantum mechanics. Our models learn from the Schrödinger equation alone, with no labeled data, and predict the full quantum state of systems with hundreds of interacting electrons. We apply them to semiconductors, quantum hardware, and chemistry. You will lead one of three research areas and set its technical direction as the team grows. The work runs from derivation to code: you formulate the physics, build the model, and scale it on GPUs.

Postdoctoral Scholar

University of Chicago Data Science Institute
Deadline: 2026-11-16 | Apply

Details The Data Science Institute (DSI) at the University of Chicago invites applications for Postdoctoral Scholars who wish to advance cutting-edge data science approaches, methods, and applications in research. The DSI executes the University of Chicago’s bold, innovative vision of Data Science as a new discipline by advancing foundational and interdisciplinary research, developing partnerships with industry, government, and social impact organizations, and implementing a holistic approach to data science education.

Postdoctoral Associate, AI/ML for Weather Forecasting

Stony Brook University
Deadline: 2026-11-15 | Apply

Details The Postdoctoral Associate will assist the Principal Investigator Dr. Steven Skiena in the Department of Computer Science at Stony Brook University. The incumbent will conduct cutting-edge research at the intersection of AI/ML and extreme weather forecasting, employing data science models as developed in computer vision and natural language processing (NLP).

CosmicAI Accelerated Universe Postdoctoral Fellow

Astronomy / Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, Texas
Deadline: 2026-11-23 | Apply

Details NSF-Simons AI Institute for Cosmic Origins (CosmicAI) seeks to hire a postdoctoral fellow to initiate a comprehensive research program exploring the surrogate modeling of astrophysical systems. Based at UT Austin, the Fellow will collaborate with CosmicAI researchers within the Oden Institute for Computational Engineering and Sciences and with team members across the Institute to develop cutting-edge AI tools and methodologies. CosmicAI fellows will have full access to Institute facilities and equipment (e.g., world-class computational resources at the Texas Advanced Computing Center, including a newly instantiated 600 GPU node cluster).

Postdoctoral Associate

Stony Brook University, SUNY, Stony Brook, New York, US
Deadline: 2026-11-15 | Apply

Details The Postdoctoral Associate will assist the Principal Investigator Dr. Steven Skiena in the Department of Computer Science at Stony Brook University. The incumbent will conduct cutting-edge research at the intersection of AI/ML and extreme weather forecasting, employing data science models as developed in computer vision and natural language processing (NLP). This project leverages the large-scale high-performance computing (HPC) infrastructure of New York State’s Empire AI enabling us to train large AI models that will outperform traditional numerical prediction models.

Other Academic Opportunities

Lecturer Pool - Electrical Engineering and Computer Science

The University of California, Berkeley
Deadline: 2027-02-01 | Apply

Details ​The Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley invites applications for a pool of qualified temporary instructors to teach Electrical Engineering or Computer Science courses should an opening arise. These are not tenure‐track positions – selected candidates will hold the title of Lecturer. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester, depending on the needs of the department. Due to budget restrictions, no funding is available for visa or relocation expenses.

Industry Opportunities

This project is supported by National Science Foundation under Cooperative Agreements PHY-2019786 and PHY-2525568. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.