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
Tufts Institute for Artificial Intelligence (TIAI) Director and Endowed Professor
Tufts University School of Engineering
Deadline: 2026-01-20 | Apply
Details
The School of Engineering at Tufts University invites applications for a faculty position as the endowed Stern Family Professorship and Director of the Tufts Institute for Artificial Intelligence (TIAI). The institute, the central hub for AI research and collaboration at Tufts, currently hosts the Center for Data Foundations in AI and the Human-AI Interaction Center. The new Director will have an opportunity to shape additional centers and research activities at TIAI. Applicants will be considered at the full Professor rank, but exceptional candidates at the Associate Professor rank are also encouraged to apply. The successful candidate is expected to provide visionary leadership for TIAI, ensuring the institute’s research and partnerships advance the responsible and socially beneficial development and application of AI. They will also oversee the growth of TIAI, supported by a new endowment that provides foundational support to the institute and support for an expected five tenure-track hires to be made in the next several years. The candidate will be expected to maintain an impactful research program and demonstrate excellence in teaching and mentorship. We welcome all candidates with a variety of life experiences and perspectives that will positively contribute to Tufts University.Postdoc Opportunities
Postdoctoral researchers at any of the partner institutions may collaborate with IAIFI researchers to become a Junior Investigator.
CosmicAI Fellow
NSF-Simons CosmicAI Institute, University of Utah, Salt Lake City, Utah
Deadline: 2026-01-01 | Apply
Details
The newly established National Science Foundation (NSF)-Simons CosmicAI Institute seeks to hire a postdoctoral fellow to help initiate a new comprehensive research program to foster foundational advancements in AI through the analysis and processing of astronomical data at the National Radio Astronomy Observatory (NRAO), located on the grounds of the University of Virginia (UVA) in Charlottesville, Virginia. Other NRAO duty stations may be considered if justified. This work will be carried out in close collaboration with CosmicAI team members at the University of Utah.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, Associate Professor, and Professor in Applied Machine Learning
Tampere University, Finland
Deadline: 2026-01-12 | Apply
Details
We are looking colleagues driven by excellence in research and teaching as well as have a strong interest for innovation and addressing societal challenges. Within our Faculty, there is expertise in several fields that are highly relevant to ML, including computer vision, time-series modeling, audio, robotics, recommender systems, natural language processing and text analysis, data-driven decision making, financial data science, complex systems, human-computer interaction, human-centered AI, network and information security, software engineering, AI in media, journalism, linguistics, performing arts, extended reality, gamification, and games. We are looking for strengthening and expanding the research in the above topics, but topics beyond the current research topics relevant to Applied Machine Learning are also welcome.Assistant Professor, Associate Professor, and Professor in Fundamental Machine Learning
Tampere University, Finland
Deadline: 2026-01-12 | Apply
Details
We are looking colleagues driven by excellence in research and teaching as well as have a strong interest for tangible theoretical contributions and addressing societal challenges. The successful candidate conducts high-quality research on the studying and developing machine learning (ML) methods, related for example to robust ML, causal ML, interpretable ML, algorithmic foundations of ML, physics-informed ML, multi- and cross-modal ML, natural language processing, reinforcement learning, geometric ML, graph learning, or ML for time series, human-computer interaction, without excluding other relevant topics.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.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.
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.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.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
Fully funded Postdoc + PhD positions Simons Collaboration on Ecological Neuroscience
TU Darmstadt, Germany
Deadline: 2025-12-31 | Apply
Details
The lab of Constantin Rothkopf (https://www.pip.tu-darmstadt.de/) at the Centre for Cognitive Science @ TU Darmstadt has several open positions at the PhD and Postdoc levels. Research in the laboratory focuses on explaining human sequential visuomotor decisions and behavior under the influence of the world's uncertainties and ambiguities through computational modeling. Using the reverse-engineering approach, we devise algorithms for inferring individuals' internal models of the world, tracking their subjective beliefs over time during behavior and learning, as well as their internal subjective costs and benefits, including effort. We investigate naturalistic sequential tasks, including navigation and object manipulation, active learning and active sensing, sequential decision-making under uncertainty, and intuitive physics. The lab has state-of-the-art equipment for eye and body tracking, VR, naturalistic task monitoring, psychophysics, and access to one of the most generous computing infrastructures in Germany. A large-scale tracking lab will be available in 2026.Postdoctoral Research Associate - Physics for AI
The University of Toronto, Canada
Deadline: 2026-01-04 | Apply
Details
The theoretical high energy physics group at the University of Toronto aims to fill two postdoctoral research positions starting in the Fall of 2026. The postdocs will primarily work with Yonatan Kahn at University of Toronto, in collaboration with Noam Levi at EPFL and Andrew Larkoski at APS, on a suite of projects focused on using simulated jet data as a model of complex real-world data in order to make progress on AI interpretability and alignment. These positions are for 2 years, but may be renewable for a 3rd year subject to funds and performance.Postdoc position on safe AI
EPFL, Lausanne, Switzerland
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Details
Applications are invited for a postdoctoral position at EPFL, to be hosted by the Data Science & AI Lab, headed by Prof. Robert West. We seek a candidate who will lead ground-breaking research projects with the goal of building safe AI that truly cares about human interests. Instead of viewing alignment as mere postprocessing of pretrained models (“lipstick-on-a-pig alignment”), you will contribute to our agenda of “raising” models that will be continuously aligned throughout the training process, starting from token 1 in pretraining (see here for a high-level vision). To this end, you will combine synthetic data generation, mechanistic interpretability, LLM pre- and posttraining, and model evaluation in novel ways.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.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.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.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 Research Fellowship
Principles of Intelligence (PIBBSS), London, UK
Deadline: 2026-01-16 | Apply
Details
We're excited to announce the 5th iteration of the PIBBSS Summer Research Fellowship program! Principles of Intelligence (PIBBSS) is a research initiative focused on supporting AI safety research that brings knowledge from less-explored fields and brings both knowledge and researchers to AI Alignment. In Summer 2026, our Fellowship will bring together researchers from a variety of fields. Over 3 months, Fellows will work on a project at the intersection of their field and AI safety, under the mentorship of experienced AI alignment researchers. The fellowship will be hosted in London. Our alumni have gone on to work in academia, AI Safety labs, UK AISI, or started independent research, among others.Quantitative Researcher
PDT Partners, New York, NY
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Details
The PDT team - a quantitative investment manager - is hiring new or recent PhD graduates and experienced researchers (postdoctoral fellows, faculty, scientific lab, finance industry) to create and improve proprietary trading models and strategies while working closely with a deep bench of senior researchers. We have a successful record of hiring, challenging, and retaining talented researchers from diverse academic backgrounds. Individuals interested in conducting innovative research with real-world impact seem to enjoy and excel at the types of problems we like to solve. PDT Researchers work in small, nimble teams where merit and contribution, not seniority, drive the discussion. We strive to foster an intellectually challenging environment that encourages collaboration and innovative ideas. In our research-driven approach to the financial markets, our Chief Scientist oversees the group-wide research agenda, ensuring team members work on the most critical and interesting problems, with a focus on research rigor and standards. This is a hybrid position and will require the person to work from our New York City office at minimum 3 days a week.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)