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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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 Assistant Professor, Associate Professor, or Full Professor in Computer Science
Department of Computer Science at the University of Copenhagen
Deadline: 2024-09-01 | Apply

Details As a Tenure-Track Assistant Professor you will primarily tend to your research and research-based teaching, while also focusing on publishing and scientific communication in various forms. To a limited extent the position may also include other tasks. The Faculty of Science has a tenure track program in place aiming at mentoring tenure-track assistant professors towards tenure, and the department has instituted a reduced teaching load for tenure-track assistant professors to give them time to obtain the requisite pedagogical certifications. As an Associate and Full Professor, you will tend your own research while simultaneously working to develop the field of research. Other work includes assessment tasks, grant applications, and research management, such as supervision and training of research fellows and other staff. You will also teach, supervise bachelor and master students, prepare, and participate in examinations, and fulfill other tasks requested by the department.

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

Fellowships on AI for HEP at INFN
Istituto Nazionale de Fisica Nucleare - Rome, Italy
Deadline: 2024-07-10 | Apply

Details The topic is "Analysis on large infrastructures of Big Data from HEP experiments with innovative AI-based methods" in the framework of the FAIR (Future Artificial Intelligence Research) project, funded within NextGenerationEU. Competition for the awarding of 3 scholarships for scientific training activities for new masters graduates, of which 2 scholarships to be used at the Bari Section and 1 scholarship to be used at the Naples Section

Student Researcher Program
Google DeepMind

Details Google DeepMind’s Student Researcher Program offers placements across a number of teams, for research, engineering and science roles. A placement offers a unique opportunity to collaborate with some of the world’s leading thinkers in AI and work on its application for social good. Their projects offer hands-on experience working collaboratively on projects that push the frontiers of AI and science. Placements are between 12-24 weeks long at a minimum of 80% time. All placements are colocated with their host, working from the same location.

Research Associate or Research Fellow in Machine Learning
Centre for AI Fundamentals at the University of Manchester - Manchester, UK
Deadline: 2024-06-27 | Apply

Details You will join a team of probabilistic modellers and machine learning researchers developing new collaborative AI principles and methods. This is an exciting topic which inspires new problems in fundamental ML work, and allows attacking new applications which make a difference, for instance in scientific research.

Postdoctoral Research Fellow
National University of Singapore (NUS)

Details Two Postdoctoral Research Fellow positions are available in the Department of Statistics & Data Science at the National University of Singapore (NUS). These positions are offered on a two-year contract basis, with the possibility of renewal subject to review. Although the research themes are flexible, our primary focus is on the design and analysis of statistical methods for data assimilation of high-dimensional time-series data and generative modeling.

Postdoctoral Research in Data Science and Particle Physics
Cranmer Lab, University of Wisconsin - Madison

Details The successful applicant would devote at least half time to the IRIS-HEP effort by playing an active role in building an ecosystem of analysis tools (including scikit-hep, awkward, pyhf, cabinetry, MadMiner, RECAST, etc) and their integration into analysis facilities (with tools such as dask, coffea, Reana, etc.).The position could be based either at CERN or at the Data Science Institute in Madison.

Postdoctoral Researcher in Generative Modelling
DTU, Denmark

Details The 2-year postdoc position at the Technical University of Denmark (DTU) focuses on integrating physics-aware machine learning to enhance the computational efficiency of simulations critical for understanding natural phenomena and advancing technologies for environmental sustainability. The ideal candidate is expected to have a strong machine-learning background and hold a PhD in machine learning or a closely related field. Experience in deep generative model research is essential. International experience will be considered advantageous. Proficiency in programming with Python, PyTorch, TensorFlow, or Jax, as well as a good command of the English language, are essential. If you are interested in this position or require further information, please contact Associate Professor Jes Frellsen (

Other Academic Opportunities

Industry Opportunities

Senior Data Engineer
Microsoft Research AI for Science - Berlin, Germany

Details The successful applicant is expected to contribute to the development of cutting-edge synthetic datasets for chemistry based on quantum chemistry simulations, which has the potential to unlock breakthrough deep-learning models for a broad range of applications.