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 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.

Kempner Research Fellowship

Kempner Institute, Boston, MA
Deadline: 2025-10-01 | Apply

Details

Kempner Research Fellows are leading, early-stage postdoctoral scientists whose research advances the fundamental understanding of intelligence. We seek candidates with demonstrated ability and creativity who study one or more of the following areas:

- Foundations of intelligence, including mathematical and computational models of intelligence, cognitive theories of intelligence, and the neurobiological basis of intelligence.
- Research and development of new AI or ML methodologies or models from an engineering perspective, as well as scientific studies focused on understanding deep learning. This includes the development of novel applications of artificial intelligence, covering areas such as LLMs, generative AI models, computational biology, and the analysis of high-dimensional neural and behavioral data.

IAIFI Fellow

IAIFI/MIT
Deadline: 2025-10-08 | Apply

Details

To facilitate advances in AI+Physics, the IAIFI seeks a talented and interdisciplinary group of researchers at an early stage of their careers to join the IAIFI Fellowship program. The role of an IAIFI Fellow is to spark vital interdisciplinary, multi-investigator, multi-subfield collaborations across the primary IAIFI domains of theoretical physics, experimental physics, astrophysics, and foundational AI. Such collaborations have immense power to generate new ideas and approaches in both physics and AI, to facilitate abstracting physics challenges beyond their native domains to inform the development of cutting-edge AI tools, and to instill a common language across disciplines. Our program aims to appoint new postdoctoral IAIFI Fellows each academic year, for a three-year fellowship term each.

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

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).

Machine Learning - Open Rank Faculty

Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates
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.

Professorship in Computer Science – AI for People and Society

Saarland University, Saarbrücken, Germany
Deadline: 2025-09-18 | Apply

Details

This professorial position is a fixed-term public sector appointment (‘Beamtenverhältnis auf Zeit’) for a maximum period of six years. If the tenure evaluation procedure (teaching appraisal and external assessment of research work) is positive, the appointee will be promoted to a permanent professorship (lifetime tenure) at the German academic salary scale W3. Tenure track professors (W2) at Saarland University have the right to supervise Bachelor’s, Master’s and PhD students. We are looking to appoint an outstanding individual in the field of AI for people and society.

University Assistant Professor in Machine Learning

University of Cambridge, England
Deadline: 2025-09-22 | Apply

Details

Applications are invited for a University Assistant Professorship in the broad area of Machine Learning. The successful candidate will join the Computational and Biological Learning Lab (CBL) cbl.eng.cam.ac.uk in the Information Engineering Division. CBL combines expertise in machine learning with computational neuroscience. The candidate will lead a research programme in one or more of the following areas: machine learning, decision making, and theory and practice of deep learning.

Tenure-Track Professorship in Human Computer Interaction

The University of Vienna, Austria
Deadline: 2025-09-17 | Apply

Details

Human Computer Interaction (HCI) explores the design, evaluation, and implementation of interactive computing systems for human use, as well as the broader social and ethical implications of computer systems. Candidates should have a strong background in computer science or a related discipline and an excellent research record in HCI, as documented by publications in relevant top venues (such as ACM CHI, ACM UIST, CSCW, TOCHI, IEEE VIS, or IEEE TSMC) and by successful acquisition of research grants. We are also welcoming candidates with demonstrated interest and experience in inter- and transdisciplinary research in HCI. Relevant research focus areas include, but are not limited to: Human-centered design and user experience, interactive and intelligent systems, critical computing, sustainability and social justice, collaborative and social computing, mixed, augmented, and virtual reality, affective computing and human-AI interaction, and ethical, societal, artistic and environmental aspects of digital technologies. Candidates should be committed to high-quality teaching in HCI and other general areas in computer science.

Postdoc Opportunities

Postdoctoral Position in Quantum Generative AI

Aix-Marseille Université, Marseille, France
Deadline: 2025-10-15 | Apply

Details

Deep learning models, and in particular large language models (LLMs), have demonstrated remarkable capabilities but remain limited by their heavy computational requirements, lack of interpretability, and tendency to produce unreliable outputs (“hallucinations”). This project investigates whether quantum computing can enable a new generation of generative AI models that are more efficient, theoretically grounded, and explainable. The research sits at the crossroads of quantum information science, tensor network theory, and generative modeling (transformers, diffusion models, etc.).

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.

1-year Postdoc in Deep Learning for Extrasolar Systems Stability Prediction

HuMaLearn, Belgium
Deadline: 2025-09-17 | Apply

Details

The CAML project is funded by the ARC program at UNamur and analyses the characteristics of extrasolar systems with deep learning. More specifically, it harnesses times series derived from N-body simulations to predict the stability of planetary systems. Those time series are enriched with chaos indicators and analysed by deep learning models. The project is an interdisciplinary collaboration between the human-centered machine learning (HuMaLearn) team of Prof. Benoît Frénay and the team of Prof. Anne-Sophie Libert in celestial mechanics.

The goal of this postdoctoral research is to define, design and evaluate models to predict the stability of extrasolar systems. As the goal is to better understand why some systems are stable and how it can be predicted, interpretability of the developed models will be explored. Also, results of deep learning models should be obtained at a minimum computational cost.

2-year Postdoc in Machine Learning

HuMaLearn, Belgium
Deadline: 2025-09-17 | Apply

Details

ARIAC is a large project funded by the Walloon Region with about 50 researchers in AI in all five French-speaking universities of Belgium. Prof. Benoît Frénay is recruiting a postdoc for up to 2 years inside the human-centered machine learning (HuMaLearn) team. The research topics will be discussed with the candidate and should be aligned with the research interests of HuMaLearn in sustainable and trustworthy AI. Examples of topics in machine learning (ML) and deep learning (DL) that are relevant include energy-efficient DL models (at learning or inference), trustworthiness of sequential DL models (e.g., interpretability, constraint satisfaction, visualisation of inner working, data augmentation for robustness), dimensionality reduction, interaction mechanisms for ML or DL and the Rashomon effect in ML or DL.

The goal of this postdoctoral research is to (i) do research in topics that will be defined with Benoît Frénay and (ii) help Benoît Frénay to coordinate the ARIAC project at the UNamur level. The candidate will also need to spend 15% of her/his time on applied research challenges proposed by the applied research centers that are partners in ARIAC. This will be an opportunity to extend her/his network and to work on exciting questions with real data.

Postdoctoral Scientist, EU Science and Technology

Amazon, Barcelona, Spain
Apply

Details

We are seeking a recent PhD in Machine Learning, Operations Research, Computer Science, or Applied Mathematics. Your work will directly shape the scalable algorithms and systems that power Amazon's logistic network, improving the experience for millions of customers. This is a unique opportunity to apply your expertise to high-impact problems at an immense scale. Join the EU Science and Technology (SnT) team in Amazon and tackle some of the world's most complex logistics challenges for the global transportation network of Amazon!

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.

Complexity Postdoctoral Fellowship

Santa Fe Institute, NM
Deadline: 2025-10-01 | Apply

Details

The Santa Fe Institute Complexity Postdoctoral Fellowships, comprising the Omidyar Fellowships, are unique among postdoctoral appointments. The Fellowships offer early-career scholars the opportunity to undertake their own independent research within a collaborative research community that nurtures creative, transdisciplinary thought in pursuit of key insights about the complex systems that matter most for science and society. The Institute rejects compartmentalized thought common in academia. Instead, SFI scientists transcend boundaries between fields, freely synthesizing ideas spanning many disciplines – from math, physics, computer science and biology to the social sciences and the humanities – in pursuit of creative insights that advance our scientific frontiers.