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 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.
ITC Fellowship
Harvard-Smithsonian Center for Astrophysics
Deadline: 2025-11-01 | Apply
Details
Applications are invited for a Postdoctoral Research Fellow position in the Institute for Theory and Computation (ITC) at the Harvard-Smithsonian Center for Astrophysics. One of the primary objectives of the ITC is to integrate conceptual theory with computational modeling. We are, therefore, interested in candidates working in any field related to theoretical and/or numerical astrophysics. The successful candidate will have access to our new computing facilities and will have the opportunity to interact and work with researchers in both the Harvard College Observatory (HCO) and the Smithsonian Astrophysical Observatory (SAO).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 of Data Science
The University of Chicago, IL
Deadline: 2025-10-26 | Apply
Details
The University of Chicago is implementing an ambitious plan for research and education in Data Science and AI, including new academic programs at the undergraduate and graduate levels and new cross-disciplinary research programs. The Data Science Institute (datascience.uchicago.edu) is a collaboration among the Department of Computer Science (cs.uchicago.edu), the Department of Statistics (stat.uchicago.edu), and other units on campus. Topics of interest include foundations and applications of artificial intelligence, machine learning, large language models, scientific AI and machine learning, data ethics and privacy, data visualization, societal impact of data and AI, safe and trustworthy AI, data engineering, scalable data systems, and high-dimensional statistical inference. We encourage applications from all researchers focused on developing the foundations and practice of Data Science as an emerging field. The Data Science Institute focuses on research that advances fundamental theories at the intersection of data science, artificial intelligence, statistics, and computing in the context of real-world and domain-specific problems. The Committee on Data Science (codas.uchicago.edu) is the home of data science education programs. The larger data science community at the University of Chicago includes the Committee on Computational and Applied Mathematics (cam.uchicago.edu), the Toyota Technological Institute at Chicago (TTIC), the Polsky Center for Entrepreneurship and Innovation, Fermilab and Argonne National Laboratory.Associate Professor of Data Science
The University of Chicago, IL
Deadline: 2025-10-26 | Apply
Details
The University of Chicago is implementing an ambitious plan for research and education in Data Science and AI, including new academic programs at the undergraduate and graduate levels and new cross-disciplinary research programs. The Data Science Institute (datascience.uchicago.edu) is a collaboration among the Department of Computer Science (cs.uchicago.edu), the Department of Statistics (stat.uchicago.edu), and other units on campus. Topics of interest include foundations and applications of artificial intelligence, machine learning, large language models, scientific AI and machine learning, data ethics and privacy, data visualization, societal impact of data and AI, safe and trustworthy AI, data engineering, scalable data systems, and high-dimensional statistical inference. We encourage applications from all researchers focused on developing the foundations and practice of Data Science as an emerging field. The Data Science Institute focuses on research that advances fundamental theories at the intersection of data science, artificial intelligence, statistics, and computing in the context of real-world and domain-specific problems. The Committee on Data Science (codas.uchicago.edu) is the home of data science education programs. The larger data science community at the University of Chicago includes the Committee on Computational and Applied Mathematics (cam.uchicago.edu), the Toyota Technological Institute at Chicago (TTIC), the Polsky Center for Entrepreneurship and Innovation, Fermilab, and Argonne National Laboratory.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.Open Rank Tenure Track Faculty in Philosophy
Carnegie Mellon University, Pittsburgh, PA
Deadline: 2025-11-20 | Apply
Details
The Philosophy Department at Carnegie Mellon University seeks applications for a full-time, tenure-track, appointment of any rank beginning Fall 2026. The department seeks candidates whose research interfaces significantly with that of the CMU-CLeaR group and the Tetrad initiative. While Areas of Specialization/Areas of Competence are open, candidates who work in Causal Learning and Reasoning, Philosophy of Science, Artificial Intelligence, Statistics, Machine Learning, Quantitative Social Sciences, or at their intersections are especially encouraged to apply. Salary is commensurate with qualifications and experience.Assistant Professor of Computer Science
Susquehanna University
Deadline: 2025-11-03 | Apply
Details
Susquehanna University invites applications for a tenure track position at the rank of Assistant Professor to start in August 2026. Teaching duties will be 3 classes per semester and will include the entire range of Computer Science courses. The area of research is open, but preference will be given to candidates with expertise in data science and machine learning. The candidate should have, or anticipate having by August 2026, a Ph.D. in Computer Science, with some background in Mathematics, or a Ph.D. in a related discipline, such as Data Science, Statistics, or Mathematics, with extensive Computer Science background and experience. Demonstrated success or evidence of potential to excel in teaching and advising undergraduates is essential, as is ongoing scholarly productivity and institutional service.Assistant/Associate/Full Professor of Computer Science
University of California Irvine
Deadline: 2025-12-01 | Apply
Details
The UCI Department of Computer Science invites applications for a tenure-track/tenured assistant, associate, or full professor position, starting July 1, 2026. This faculty search targets applicants with research expertise in all aspects of AI and ML, broadly interpreted. The faculty of the UCI Department of Computer Science includes an NAE Member, 15 ACM Fellows, 13 IEEE Fellows, 15 AAAS Fellows, and multiple AAAI Fellows, IFIP Fellows, and Academia Europea Members. AI and ML are a focus of UCI's research. The UCI Center for ML and Intelligent Systems connects more than thirty faculty and a broad range of other scientific fields. Interdisciplinary AI research at UCI is further facilitated by the Steckler Center for Responsible, Ethical, and Accessible Technology (CREATE), the AI Science Institute, and the Irvine Initiative in AI, Law, and Society.Assistant Professor in AI
Aalborg University, Denmark
Deadline: 2025-11-01 | Apply
Details
The Department of Computer Science at Aalborg University, Denmark, invites applications for one or more positions as assistant professor as of January 1, 2026, or as soon as possible thereafter. The position is a fixed-term, 3-year, full-time position. We are particularly seeking candidates with expertise in probabilistic and neuro-symbolic AI. Areas of interest include (but are not limited to): Probabilistic machine learning; Deep probabilistic graphical models; Relational (deep) learning; Graph neural networks; and Reinforcement learning.Tenured Associate Professor/Professor in Human-Centered AI - AI Privacy and Ethics
University of Michigan-Ann Arbor
Deadline: 2025-11-15 | Apply
Details
The University of Michigan School of Information (UMSI) invites applications for a faculty position focusing on Artificial Intelligence (AI) Privacy and Ethics at the rank of associate or full professor. Applicants need not have attained tenure elsewhere, but should be prepared to undergo tenure review at University of Michigan as part of the hiring process. The home for this position will be at UMSI. This is part of a university-level faculty expansion program and collaborative cluster hire in Human-Centered Artificial Intelligence across multiple units; where appropriate, additional affiliations with other units may be considered.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.Assistant Professor, Joint Appointment in Departments of Computer Science and Mathematics & Statistics
American University, Washington, DC
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Details
The Departments of Computer Science and Mathematics & Statistics in the College of Arts and Sciences at American University invite applications for a full-time, tenure-track assistant professor position with a focus in data science or artificial intelligence beginning August 1, 2026. We encourage candidates in data science, artificial intelligence, computer science, statistics, mathematics, or related fields with a vibrant research and teaching profile to apply. Applicants should have a PhD or an anticipated PhD completion by August 2026 in computer science, data science, statistics, mathematics, or a related field.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
SkAI Data Science Preceptor
The University of Chicago, IL
Deadline: 2025-11-15 | Apply
Details
The University of Chicago’s Data Science Institute, in partnership with the City Colleges of Chicago (CCC), and the US National Science Foundation and Simons Foundation-funded National AI Institute for the Sky ('SkAI Institute') invites applications for the position of the University of Chicago (UChicago) SkAI Data Science Preceptorship with a focus on teaching and scholarship in the area of Astronomy and AI . The UChicago and CCC Preceptorship program develops the next generation of teaching academics for data science and astronomy education. This unique program emphasizes pedagogical best practices and allows Preceptors the opportunity to broaden their classroom skills and enhance their teaching and scholarship portfolios with the support of UChicago and CCC faculty mentorship. UChicago is recruiting Preceptors with an Astronomy and AI focus to co-develop new Astro-AI curriculum and teach courses at UChicago, CCC, and other SkAI partner institutions.Data Science Institute Postdoctoral Scholars Program AY2026-27
The University of Chicago, IL
Deadline: 2025-11-15 | 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 Researcher in Statistics/Machine Learning
MBZUAI, Abu Dhabi, UAE
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Details
Applications are invited for a fully funded two-year postdoctoral position in Statistics/Machine Learning or closely related fields under the supervision of Prof. Souhaib Ben Taieb at the Mohamed bin Zayed University of Artificial Intelligence in Abu Dhabi, UAE. The research lab explores diverse topics, including probabilistic machine learning, uncertainty quantification, conformal prediction, time series forecasting, and anomaly detection, in collaboration with leading academic and industry partners.Postdoctoral Research Associate/Fellow (Technical AI Safety)
King’s College London, England
Deadline: 2025-11-20 | Apply
Details
The Department of Informatics at King’s College London is looking to appoint a Postdoctoral Research Associate or Fellow to work in the area of technical AI safety. The position is funded by the Open Philanthropy grant “Verifiably Robust Conformal Probes”. The project’s goal is to develop methods for latent probing (aka activation monitoring) of large language models (LLMs) that leverage certification and conformal prediction techniques to offer probabilistic and adversarial robustness guarantees. Applications include detection of misaligned LLM intentions such as deception, harmfulness, jailbreaking, and power-seeking behaviours.Eric and Wendy Schmidt AI in Science Fellowship
The University of Chicago, IL
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Details
The Eric and Wendy Schmidt AI in Science Fellowship Program at the University of Chicago is seeking scholars who seek to advance and accelerate the adoption of artificial intelligence (AI) in the natural sciences. The rise of AI in science and engineering presents both a remarkable opportunity and a profound challenge to human-centered modes of inquiry, including not only data analysis, but also the design of experiments, the formulation of new hypotheses, and the revelation of natural laws. Given the cross-disciplinary nature of AI research in science, Fellows will be offered freedom and independence in pursuing their AI-related research, including the flexibility to change or expand their research focus and to work with multiple research groups while at the University.The CHAI Research Fellowship and other opportunities
UC Berkeley, California
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Details
CHAI Research Fellows will work with CHAI faculty members Stuart Russell, Pieter Abbeel, and Anca Dragan and will also have the opportunity to collaborate with CHAI affiliate faculty at Berkeley, other faculty members in Berkeley AI Research (where CHAI is located), and many other institutions. The Fellowship is aimed at training highly qualified postdoctoral researchers to carry out research to advance beneficial AI. Given the broad and open-ended mandate of the Center to develop provably beneficial AI systems, the post holder will have considerable freedom to pursue novel research projects in areas such as reasoning, decision making, learning, multi-agent systems, and philosophical foundations using the tools of probability theory, game theory, control theory, etc.NTU AI-for-X Postdoctoral Fellowship in Epistemic Robot Learning
Nanyang Technological University Singapore
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Details
We are seeking a highly motivated candidate to apply for the NTU AI-for-X Postdoctoral Fellowship program. The fellow will join the College of Computing and Data Science, Nanyang Technological University Singapore, to work with Assistant Professor Yoonchang Sung and Assistant Professor Siu Lun Chau on the emerging area of Epistemic Robot Learning.Project Overview
One crucial goal in robot learning is to train a policy model using large amounts of simulated, synthetic, realworld, or human data during the training phase, with the hope that it exhibits strong generalization capabilities to unseen, novel tasks at deployment. However, it remains unclear how far a trained model can generalize and whether a given task at deployment can be handled zero-shot or requires additional data for fine-tuning. Recent advances in statistical theory allow for representing and quantifying epistemic uncertainty, providing a way to reason about a model’s ignorance. This project aims to explore opportunities for leveraging epistemic uncertainty in robot learning to enable informed decision-making at deployment, thereby fundamentally enhancing the generalization and adaptability of robot foundation models.
Specifically, we propose to study three promising research thrusts:
1. Epistemic Uncertainty Quantification for Robot Learning
• A robot policy model is a large neural network that takes observations and human language commands as input and outputs actions. A key question is whether existing methods for epistemic uncertainty quantification—developed in the precise and imprecise probabilistic machine learning literature—are sufficient to capture the full complexity of robotic observations and language commands. If not, how might we design new frameworks tailored specifically for robotic systems?
Out-of-distribution Detection for Robotic Tasks
• Once epistemic uncertainty can be reliably quantified, a natural next step is to leverage it for out-ofdistribution (OOD) detection in robotic tasks. Effective OOD detection enables them to recognise when their learned knowledge and policies may no longer apply, so that they can trigger fallback strategies. Developing principled methods for OOD detection grounded in epistemic uncertainty is therefore critical for ensuring the safety, reliability, and adaptability of robot behaviours.
3. Human-in-the-loop Robotics through Deferral Learning • One important fallback strategy in OOD scenarios is to seek additional input from humans. This naturally connects to the framework of learning to defer, a subfield of rejection learning. The goal is not only to detect when the robot lacks sufficient confidence to act, but also to determine the most appropriate response in such cases—whether that means consulting a specific human expert, coordinating with fellow robots, or abstaining altogether when the task involves irreducible randomness.
What we look for
We are seeking highly self-motivated and passionate applicants who have a PhD in robotics, artificial intelligence, or machine learning, with strong publications in these fields. A background in robot learning and experience with real-robot experiments is strongly preferred. Knowledge in statistical methods for uncertainty quantification is not necessary, but highly desirable.
How to Apply?
If you are interested in this research direction, we encourage you to explore the work of Prof. Yoonchang Sung and Prof. Siu Lun Chau. To apply, please complete the application form at the link below. We will review submissions carefully and contact shortlisted candidates, and support your fellowship application.
https://forms.gle/erQSoAGptPo9e7ENA
We look forward to reading your application.
Post Doc Researcher - Artificial Intelligence and Machine Learning (Empirical)
Microsoft Research, New York, NY
Deadline: 2025-10-22 | Apply
Details
Microsoft Research New York City (MSR NYC) is seeking applicants for multiple Postdoctoral Researcher (Postdoc) positions with empirical focus in machine learning (ML) and artificial intelligence (AI), both broadly in empirical AI/ML, and specifically in the areas of deep learning, generative AI, post-training and test-time scaling, modular transfer learning/generalization, and in areas that bridge empirical AI/ML interests with other research areas in the lab. We encourage applicants with mixed theory + empirical focus to apply to this posting as well as our parallel posting with theoretical focus.Post Doc Researcher - Artificial Intelligence and Machine Learning (Theoretical)
Microsoft Research, New York, NY
Deadline: 2025-10-22 | Apply
Details
Microsoft Research New York City (MSR NYC) is seeking applicants for multiple Postdoctoral Researcher (Postdoc) positions with theoretical focus in machine learning (ML) and artificial intelligence (AI), both broadly in theoretical ML, and specifically in the areas science of deep learning, post-training and test-time scaling, reinforcement learning, core learning theory, and in areas that bridge theoretical AI/ML interests with other research areas in the lab. We encourage applicants with mixed theory + empirical focus to apply to this posting as well as our parallel posting with empirical focus.Postdoc in AI for fundamental physics (theory or statistical inference / experiment)
Georgia Tech., Atlanta, Georgia
Deadline: 2025-12-05 | Apply
Details
The successful candidate will work on one of these research themes and should have relevant expertise.- For theory-focused projects, a strong background in group theory, quantum field theory, or gravity, as well as familiarity with relevant physics software, is recommended.
- For statistical-inference-focused or experiment-design-focused projects, a strong background in statistics and/or particle physics is recommended.
The postdoc will also have the option to work within an experiment collaboration (eg. CMS or DUNE).
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.Two full-time academic positions - Theory and applications in the field of data science and AI
University of Chile, Santiago, Chile
Deadline: 2025-11-10 | Apply
Details
The Faculty of Physical and Mathematical Sciences (FCFM) at the University of Chile invites applications for two full-time academic positions (44 hours per week), jointly appointed by the Institute for Data and Artificial Intelligence (IDIA). These positions are in the Theory and Applications of Data Science and Artificial Intelligence. Successful candidates are expected to engage in both individual and collaborative research, contribute to undergraduate and graduate teaching (specially with the Master of Data Science), and participate in outreach activities. They will also have opportunities to develop industry connections through research and development projects, as well as involvement in postgraduate courses or diploma programs.Other Academic Opportunities
Associate Scientist - AI and Fundamental Physics
SLAC National Accelerator Laboratory
Deadline: 2025-12-01 | Apply
Details
The Fundamental Physics Directorate (FPD) at SLAC National Accelerator Laboratory seeks candidates at the Associate Scientist level (research work performed by associate scientist is similar to assistant professor at a university) with a proven track record of research in AI and fundamental physics, broadly defined. This includes candidates with experience applying methods to solve theoretical or experimental challenges as well as candidates with experience developing statistical or computational methods relevant to fundamental physics. Preference will be given to candidates with an aptitude and interest in connecting with more than one established FPD research area.Industry Opportunities
LLM Engineer at VIB.AI
VIB, Flanders, Belgium
Deadline: 2025-10-31 | Apply
Details
VIB is a leading life sciences research institute in Flanders, Belgium, with a strong focus on translating basic scientific discoveries into benefits for society. With the launch of VIB.AI, we are expanding our mission to harness the power of artificial intelligence for life sciences research, innovation, and impact. We are now looking for an Large Language Model (LLM) engineer to join the Machine Learning Expertise Unit at VIB.AI.Head of Machine Learning Expertise Unit at VIB.AI
VIB, Flanders, Belgium
Deadline: 2025-10-31 | Apply
Details
VIB is a leading life sciences research institute in Flanders, Belgium, with a strong focus on translating basic scientific discoveries into benefits for society. With the launch of VIB.AI, we are expanding our mission to harness the power of artificial intelligence for life sciences research, innovation, and impact. We are now looking for an experienced Machine Learning Expert to establish and run a new Machine Learning Expertise Unit within VIB.AI.2026 Intern – Research Scientist – AI-powered Automation
IBM, Multiple Locations
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Details
Artificial intelligence is having a profound impact on all aspects of our lives and is transforming how work is conducted in every industry. Today, AI systems are enabling businesses to personalize services, converse with customers, automate operations, optimize workflows, predict demand, and recommend next best actions. A common thread to our ambitious AI and watsonx Research agenda is to understand how AI systems and algorithms can be designed responsibly and produce effective outcomes for their enterprise users. We are seeking intern candidates to help us advance our research and development agenda on artificial intelligence and foundation models in areas including Natural Language Processing, Distributed (Edge) AI, Trusted AI, Scalable Data Engineering, AI for Business and IT Automation, AI Applications, AI Security, AI Hardware, Automated AI, Conversational AI and API Composition and Orchestration.Machine Learning Engineer (Experienced, Early Team)
Nera, Montreal, Canada
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