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.
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.
CfA AstroAI Postdoctoral Fellowship
AstroAI at Center for Astrophysics | Harvard & Smithsonian, Cambridge, MA
Deadline: 2025-12-15 | 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. We aim to appoint one new AstroAI Fellow for a term of two years, renewable for up to three years.Postdoc, Physics of Learning
Northeastern
Deadline: 2025-12-15 | Apply
Details
The Theoretical High Energy Physics group at Northeastern University in Boston has a Fall 2026 opening for a Postdoctoral Research Associate to work with the recently established Simons Collaboration on the Physics of Learning (physicsoflearning.org). The Simons Collaboration is harnessing the fundamental sciences to break AI out of its black box using techniques from mathematics and theoretical physics. The postdoctoral researcher will be under the supervision of Prof. Jim Halverson. The successful candidate is expected to contribute to the scientific mission of the collaboration, bringing their technical expertise to bear on problems in AI. Proposals for new scientific directions are welcomed, and the researcher will have an opportunity to collaborate with anyone in the Collaboration. The successful candidate will also have the opportunity to interact and collaborate with the NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI), where Halverson is also a PI. If interested, they will be able to apply for Junior Investigator status at IAIFI.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, Astronomy T/TE
University of Arizona, Tucson, AZ
Deadline: 2026-01-05 | Apply
Details
The Department of Astronomy and Steward Observatory (DA/SO) at the University of Arizona invites applications for a tenure-track faculty position, with an anticipated start date of August 2026. This position will also be granted the additional title of Assistant Astronomer (Chapter 4). We are seeking candidates with research expertise in cosmology and machine learning/data analysis. We are interested in candidates with expertise in using ML to improve the modeling and interpretation of cosmic structure evolution and/or the physics of the early universe. Candidates who can connect their expertise in cosmology/ML to existing and future large datasets (e.g. from DESI, LSST, Euclid, Roman, SPHEREx, Simons Observatory, etc.) are especially encouraged to apply.Teaching Assistant Professor
The University of North Carolina at Chapel Hill
Deadline: 2025-12-10 | Apply
Details
The Department seeks a candidate with demonstrated experience or strong potential in undergraduate instruction in Statistics and Data Science, as well as in curriculum and pedagogy development, particularly concerning the ethical dimensions of Data Science. This is a non-tenure track position with an initial contract of three years that is subsequently considered for renewals, with the possibility of eventual promotions to higher ranks (Teaching Associate Professor, Teaching Professor) and longer-term contracts with an intended career trajectory. The primary purpose of this position is to provide instruction for large-enrollment undergraduate data science courses, employing appropriate instructional technologies and pedagogical strategies. The successful candidate will teach six undergraduate courses over a two-semester academic year and provide advising and mentoring for undergraduate students pursuing the Bachelor of Arts in Data Science. Additionally, the position is expected to maintain active participation in departmental activities, including service on committees, support of departmental initiatives, and engagement in projects as assigned. Supplemental summer teaching assignments are generally available for those interested, for additional compensation.Assistant Professor and Associate Professor Opportunities
School of Computing Science at Simon Fraser University, Burnaby, Canada
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Details
The School of Computing Science at Simon Fraser University (SFU) in metro Vancouver, Canada invites applications for two tenure-track faculty positions at the rank of Assistant or Associate Professor, as well as one full-time continuing Lecturer position.We seek excellent tenure-track applicants in AI, theory, systems, and interdisciplinary areas. The School encourages applications from women and underrepresented groups in all areas of computing science. Women candidates who are applying for the Tenure-Track positions may be eligible for the Rajan Recruitment Award for Women in Computing Science, including salary and research support packages of up to $250,000 over a five-year term.
Recently celebrating 50 years of computing science at SFU, the School has grown to become one of the top computer science departments in Canada as well as enjoying a strong international reputation. SFU is located in metro Vancouver, one of the most livable areas in North America.
Assistant Professor: excellent research achievements demonstrated by publications at top venues with the candidate being the main contributor, strong reference letters, and broader impact of the research outcomes shown, for example, by research awards, citations, open-source tools used by peers, and/or technology transfer to industry.
Associate Professor: outstanding research achievements demonstrated by sustained publications at top venues for several years, strong reference letters from leaders in their area, and broader impact of the research outcomes shown, for example, by research awards, citations, open-source tools used by peers, and/or technology transfer to industry. It is also expected that the candidate has a strong research funding record, visibility in their research community, and leadership skills. Further, it is expected that the candidate provides evidence for effective supervision of graduate students as well as high-quality teaching of graduate and undergraduate courses.
Lecturers are considered an integral part of the School, and they contribute to its academic mission of teaching and preparing computer science students for competitive industrial careers and advanced graduate studies. Lecturers fully participate in the administration of the School and have voting rights similar to those of tenure-track faculty on all School and University issues. Analogous to tenure-track faculty, Lecturers can be promoted to Senior Lecturer and University Lecturer (equivalent to Full Teaching Professor) ranks, and they can apply for partially/fully paid study leaves for career advancement and professional development.
Preference will be given to complete applications received by Monday, December 15, 2025, but we will continue to accept applications beyond that date until the position is filled. Please submit your application to our on-line system.
https://www.sfu.ca/fas/computing/about/job-opportunities.html
The positions are subject to availability of funding and approval by the SFU Board of Governors. Any inquiries regarding this posting may be directed to cs_faculty_affairs@sfu.ca.
Lecturer/Senior Lecturer in Robotics
King’s College London, England
Deadline: 2025-12-14 | Apply
Details
We are seeking an enthusiastic individual with the appropriate disciplinary experience for the post of Lecturer or Senior Lecturer in Robotics, who is interested in developing an independent world-leading research group in one of the following areas: UxV, humanoid robots, foundational models for robots, autonomous driving. In addition to leading their research group, the post-holder will also play a key role in the continuing development and delivery of modules in robotics for undergraduate and postgraduate degree programmes offered by the Department of Engineering.Machine Learning - Open Rank Faculty
Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE
Deadline: 2026-08-31 | Apply
Details
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Faculty. The successful candidates will be responsible for delivering high-quality instruction, mentoring students, contributing to curriculum development, and actively engaging in interdisciplinary research. Faculty members will also have the opportunity to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.Tenure-Track Research Fellowships (Assistant Professors) in AI/Physical AI for Materials Discovery
University of Liverpool, England
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Details
We are inviting international applications for Tenure-Track Research Fellowships (Assistant Professors) in AI/Physical AI for Materials Discovery at the University of Liverpool to join our world-leading research frontier dedicated to solving grand challenges using AI and digital innovation. Join us in addressing the core global challenge of sustainable materials for a net-zero future. Today, the pace of traditional materials discovery is too slow to meet urgent climate goals. Our research fundamentally tackles this by redefining materials design using cutting-edge computational modelling, AI, and robotics to accelerate the design and deployment of next-generation materials at speed and scale.Assistant Professor in the Department of Computing Sciences
Bocconi University, Milan, Italy
Deadline: 2025-12-16 | Apply
Details
The department of Computing Sciences, created four years ago and in a phase of rapid expansion, is an interdisciplinary department with leading international researchers in various fields including theoretical computer science, machine learning theory, statistical physics modeling, natural language processing, computer vision, computational neuroscience, as well as biomedical applications (see https://cs.unibocconi.eu). We are looking for outstanding candidates, curious and open to collaborations with colleagues from other fields.Tenure-Track Assistant/Associate Professor – Department of Computer Science
James Madison University, Harrisonburg, Virginia
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Details
The Department of Computer Science at James Madison University invites applications for a tenure-track faculty position at the rank of Assistant Professor or Associate Professor to begin August 2026. We are committed to cultivating a welcoming environment for our faculty, staff, and students, and we value candidates who will be both impactful teachers and impactful scholars. Preference will be given to applicants at the Assistant Professor level. Exceptional candidates at the Associate Professor level will also be considered.Assistant Professor of Statistics
University of California, Davis
Deadline: 2026-06-30 | Apply
Details
The Department of Statistics at the University of California, Davis, invites applications for a full-time tenure-track faculty position in Statistics. This search and hiring will be conducted at the assistant professor rank. The search will be primarily in Data Science, but all areas of Statistics and Machine Learning will be considered. Individuals specializing in foundational research in data science or in statistical methods for large and complex or massive data are especially encouraged to apply.Assistant Professor (Education) in Data Science
The London School of Economics and Political Science, England
Deadline: 2025-12-14 | Apply
Details
Applications are invited for this post from outstanding teachers in the field of data science, with a focus on computational aspects. The successful candidate will join a vibrant research and teaching environment in the Department of Statistics. Data science is a key priority area in the LSE 2030 strategy, offering exciting opportunities to create new initiatives, foster collaborations, and make a significant impact in this field. The postholder will contribute to the teaching and management of the MSc Data Science, the new BSc Economics and Data Science, and courses developed for other departments. The post is tenable from 1st September 2026.Statistics and Data Science - Associate/Full Professor Tenured
Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates
Deadline: 2026-07-31 | Apply
Details
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Faculty. The Department of Statistics and Data Science invites applications for Associate / Full Professors for a faculty position in Statistics and Data Science. We seek researchers with strong potential in both theoretical and applied statistics. The successful candidate will contribute to high-quality instruction, mentor graduate students, shape curriculum development, and engage in interdisciplinary research at the intersection of statistics, data science, and artificial intelligence(AI).Statistics and Data Science - Assistant Professor Tenure Track
Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates
Deadline: 2026-07-31 | Apply
Details
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Faculty. The Department of Statistics and Data Science invites applications for an Assistant Professor tenure-track faculty position in Statistics and Data Science. We seek researchers with strong potential in both theoretical and applied statistics. The successful candidate will contribute to high-quality instruction, mentor graduate students, shape curriculum development, and engage in interdisciplinary research at the intersection of statistics, data science, and artificial intelligence(AI).Postdoc Opportunities
Postdoc Position on Continual Learning for Foundation Models
Autonomous University of Barcelona, Spain (Universitat Autònoma de Barcelona)
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Details
We are seeking a postdoc to join the LAMP group at the Computer Vision Center (CVC), in Barcelona, Spain. The position is for 2-3 years and linked to the project “Foundations for Adaptive and Generalizable Deep Learning” (EXPLORA), funded by Ministerio de Ciencia, Innovación y Universidades/AEI, focused on ‘Continual Learning for Foundation Models’ where the aim is to adapt foundation models to new tasks without forgetting previous knowledge. The focus of the project can be defined in collaboration with the supervisor, with potential avenues including optimization aspects, parameter-efficient adaptation methods, model merging theory, multi-modal continual learning, or adaptation to open-world scenarios.Postdoc in Human-Computer Interaction with Explainable AI
The University of Copenhagen, Denmark
Deadline: 2026-02-01 | Apply
Details
We are seeking to recruit a postdoc within Human-Computer Interaction to work on an interdisciplinary project on Human-Centered Explainable Retrieval-Augmented LLMs funded by Independent Research Foundation Denmark, led by Isabelle Augenstein and Irina Shklovski. The postdoc’s duties will be to conduct research on user-centric RAG and information needs of people interacting with AI in collaboration with the project team. In addition to the PIs and the postdoc, the team also includes a PhD student as well as external collaborators, including in information retrieval.People and Robots Lab Open Positions
The People and Robots Lab (PeRL) at Arizona State University
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Details
The People and Robots Lab (PeRL) at Arizona State University (ASU) is recruiting highly motivated Ph.D. students (starting Spring or Fall 2026) and a Postdoctoral Researcher (starting Spring 2026). Our research focuses on vision-language models (VLMs), multimodal learning, video understanding, and robot learning. Students and postdocs will be based in the School of Computing and Augmented Intelligence (SCAI) and may also be affiliated with the Media and Immersive eXperience (MIX) Center and the Center for Human, Artificial Intelligence, and Robot Teaming (CHART) at ASU. Our work is generously supported by NSF, NIH, NASA, PIT-UN, Google, Amazon, Ability Central Foundation, and ASU.Postdoc in Precision Machine Learning for Particle Phenomenology
INFN, Genoa
Deadline: 2025-12-15 | Apply
Details
The INFN Genova high-energy phenomenology group is seeking applications for a two-year postdoctoral position in particle physics, with a focus on precision machine learning and its applications to particle phenomenology. The group (Biggio, Frixione, Marzani, Ridolfi, Torre) has broad interests in collider physics, effective field theories, higher-order calculations, parton distribution functions, and new physics searches, both within and beyond the Standard Model. It maintains close interactions with local experimental groups involved in ATLAS, CMS, LHCb, and astroparticle physics, and has several ongoing projects with international collaborators. The successful candidate is expected to contribute to the activities of the INFN initiative PML4HEP – Precision Machine Learning for High-Energy Physics, coordinated from Genova. Research topics may include the development and validation of ML-based tools for simulation, inference, or modeling; generative models for collider physics; likelihood-free inference; global EFT fits; and uncertainty quantification in ML. Candidates with a background in theoretical or phenomenological particle physics, and an interest in machine learning techniques, are encouraged to apply.Postdoctoral Research Associate
Fermilab, Batavia, Illinois
Deadline: 2026-01-05 | Apply
Details
Fermilab seeks outstanding applicants for a post-doctoral Research Associate position at the interface of cosmic survey science and AI/ML. This position is aimed at exceptional recent PhD recipients with a proven research record from prior experience in observational cosmology, AI/ML, and/or related fields. Fermilab is actively involved in the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) and the LSST Dark Energy Science Collaboration (LSST DESC). Fermilab is also the home institution of the Dark Energy Survey (DES) and an institutional member in the Dark Energy Spectroscopic Instrument (DESI). This post-doctoral position will provide the opportunity to integrate novel AI/ML techniques into the operation and analysis of world-leading astronomical observatories.S. Scott Collis Fellowship in Data Science 2026
Sandia National Laboratories, Albuquerque, NM;Livermore, CA
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Details
Are you looking to perform innovative research in data science? Are you excited about research informed by real-world needs? Are you passionate about impacting problems of national importance? If so, consider the possibilities afforded by Sandia's Data Science Fellowship. The S. Scott Collis Fellowship in Data Science seeks applicants with a demonstrated background in the interdisciplinary field 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 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.Postdoctoral researcher positions in Probabilistic Machine Learning research group
Aalto University, Finland
Deadline: 2026-01-04 | Apply
Details
You will join a team of machine learning researchers developing new collaborative AI principles and methods. The topic opens up fresh problems in fundamental ML and enables new applications that make a real difference in, for example, scientific research and discovery and intelligent decision-making. Team members bring complementary expertise, and by working together we address novel problems that no single approach could solve alone.Postdoc in Probabilistic Machine Learning
KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science, Stockholm, Sweden
Deadline: 2025-12-19 | Apply
Details
The goal of this position is to conduct independent research and develop theories and methodologies that help in improving the reliability and trustworthiness of large-scale machine learning models (e.g., LLMs) in a meaningful way. You will be joining the research group of Martin Trapp and develop your own research agenda in the context of the group’s research. A particular focus of the group is to develop and utilise theories from tractable models (probabilistic circuits) and Bayesian statistics to tackle the reliability of machine learning models, touching topics such as uncertainty quantification in large-scale models, exact and approximate inference, and neurosymbolics. See Martin Trapp’s website for details. The candidate is expected to augment the research expertise of the group through her/his own experience and to conduct research in close collaboration with the group. You will develop theoretical and methodological work that will be released as open-source libraries and publish your work at top-tier machine learning venues (NeurIPS, ICML, ICLR, UAI, AISTATS). Moreover, you will have the opportunity to collaborate with researchers working on machine learning at KTH and collaborate with international experts through the group’s network.Joint Postdoctoral Position in AI for Theoretical Physics
Perimeter Institute and UW Madison
Deadline: 2025-12-08 | Apply
Details
The University of Wisconsin-Madison Physics Department (https://www.physics.wisc.edu/) and the Perimeter Institute for Theoretical Physics (https://perimeterinstitute.ca/) invite applications for a joint 3-year postdoctoral position in AI for theoretical physics. The selected postdoc will spend the first year at UW Madison and the following two years at Perimeter Institute, with frequent travels in both directions. We are looking for candidates with a background in any area of theoretical physics and a strong interest in AI Reasoning. Prior publications in AI for physics are a bonus but not required.Postdoctoral Fellow in Machine Learning
Nordita (The Nordic Institute for Theoretical Physics), Stockholm, Sweden
Deadline: 2025-12-31 | Apply
Details
The candidate will work on problems at the intersection of mathematical statistics, machine learning, and generative modeling, particularly for sequential data arising in complex dynamical systems. The candidate is expected to carry out research and publish their findings in top conferences and journals, and help in the management of the group, as well as supervision of students on research projects. The position is meant to further the careers of early-career researchers who wish to pursue a career in academia. The job description may be changed during the contract period or upon contract renewal.Other Academic Opportunities
Senior Research Associate - MARS
Lancaster University, England
Deadline: 2026-01-04 | Apply
Details
The School of Mathematical Sciences at Lancaster University is seeking to appoint Senior Research Associates to lead their own research project as part of ‘MARS: Mathematics for AI in Real-world Systems’. MARS, which is funded by a £13m investment from Research England, conducts research and teaching at the interface of dynamical mathematical modelling and artificial intelligence (AI), with a focus on using applied mathematics and AI methods to address real-world challenges.Graduate Program in the Department of Physics
NYU
Deadline: 2025-12-30 | Apply
Details
Physicists come in many forms. Some love tinkering and may be natural experimentalists, some are drawn to elegant theories, some delight in writing computer codes, some have a special talent for communicating science to others, etc. And physicists do many different things in their lives, from public education, to academic research, to industry and tech, to public service and beyond. The goal of the NYU Graduate Program in Physics is to provide outstanding training to a student body which reflects the diversity of backgrounds, talents and skills of the next generation of aspiring physicists, astrophysicists and biophysicists. We want every member of the Department to flourish and find their own path. Our graduate admissions process aims to bring in a capable and committed group of students who are well-positioned to benefit from the training we can provide. No single metric gives a valid and accurate gauge for every person. To that end, admissions decisions are based on the full scope of information in the application dockets, and any individual component is considered in relation to its relevance for the student’s aims.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
Summer 2026 Research Cycle
Frontier Development Lab (FDL)
Deadline: 2026-03-31 | Apply
Details
Every summer, the Frontier Development Lab (FDL) brings together researchers, engineers, partner space agencies, and leaders in commercial AI to tackle humanity’s toughest challenges in space science and exploration, using the transformative power of AI for the good of all humankind. You can now APPLY for the 2026 research cycles for Heliolab, Lunarlab and Earth Systems Lab, Flightlab and FDL Med, while we continue to refine the research challenges.IPAI Science Residency – AI Commercialization Fellowship
IPAI, Heilbronn, Germany
Deadline: 2026-01-04 | Apply
Details
The IPAI Science Residency invites applications for a 1-year Applied AI Fellowship designed for individuals who are ready to turn cutting-edge AI research into real-world impact. IPAI is seeking two kinds of people who want to explore and commercialize innovative ideas in a highly entrepreneurial environment:1) recent PhD graduates in AI-related fields
2) people with at least three years of experience in AI (but no PhD)
Internship - Radiation Detection and Estimation
Mitsubishi Electric Research Labs
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Details
MERL is seeking a motivated intern to support a research project focused on detecting and estimating properties of radiation sources (e.g., gamma, beta, alpha). The Computational Sensing team is developing new estimation and inference methods to analyze sensor data from radiation detection systems. To enable this, we require realistic physics-based simulations of particle transport and sensor interactions. The primary goal of this internship is to develop and validate high-fidelity radiation simulations using the Geant4 toolkit, providing data and visualization tools that will accelerate our algorithm development and testing. The ideal candidate would be a PhD student with experience in detector modeling and a familiarity with data analysis tools such as NumPy or ROOT. An understanding of inverse problems or estimation techniques may be beneficial but is not required. The duration is anticipated to be 3 - 6 months with a flexible start date.Senior Research Scientist, Human Aware Interaction and Learning
Toyota Research Institute (TRI), Cambridge, MA
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