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.

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

Open Rank Faculty Position (Tenured or Tenure-Track) in Artificial Intelligence

The Chinese University of Hong Kong, Shenzhen, China
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Details

Newly established, The School of Artificial Intelligence (SAI) at The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen) is pleased to invite applications for full-time faculty positions at all academic ranks with multiple positions. We seek outstanding individuals who are eager to contribute to the advancement of artificial intelligence research and education. Candidates will join a vibrant, interdisciplinary environment that values academic excellence, innovative research, and impactful teaching.

Faculty Position on the Artificial Intelligence & Machine Learning (AIML) team

TCG CREST, Kolkata, West Bengal, India
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Details

The Artificial Intelligence & Machine Learning (AIML) team at TCG CREST is seeking exceptional faculty members (Assistant/Associate/Full Professors) to lead pioneering research and innovation.

We are committed to fostering a diverse, inclusive, and equitable environment and strongly encourage applications from candidates of all backgrounds—including race, gender, demographics, and individuals with special abilities.

What We’re Looking For:

- Expertise in cutting-edge areas such as (but not limited to) reinforcement learning, computational learning theory, computer vision, and natural language processing.
- Proven research excellence, with publications in top journals (e.g., JMLR, IEEE T-PAMI, T-IFS, T-IT, T-IP, T-ASLPRO, JACM) and conferences (Core A*/A venues).
- Strong research leadership, including experience as PI or Co-PI on externally funded projects.
- Teaching experience at premier institutions (e.g., older IITs, IISc, TIFR) or globally recognized universities, and/or research experience at top institutes or companies.
- A collaborative and ethical mindset, with integrity, academic rigor, and the ability to work across diverse projects.
- High motivation to contribute to societal development and nation-building in India.

How to Apply:
- For queries and application submissions, please send your CV and cover letter to: goutam.mukherjee[at]tcgcrest.org

W2 Professorship (W3 tenure track position) in Language Technology

Saarland University, Saarbrücken, Germany
Deadline: 2025-09-12 | Apply

Details

We are seeking an internationally recognized researcher in the field of language technology with extensive expertise in natural language processing and machine learning methodologies. Particular interest will be given to candidates with experience in training, analysing, developing and improving large-scale neural architectures. In addition to holding a professorship at the university, the successful candidate will also be appointed as a scientific director at the German Research Center for Artificial Intelligence (DFKI), where they will head a research department with access to an extensive global network of industry and other partners. This dual role offers a unique platform for high-impact research and meaningful societal engagement at a scale rarely achievable elsewhere. DFKI is an application-driven research organization that is largely financed through external project funding. Experience in collaborating with non-academic partners and in attracting national and international research funding is therefore desirable.

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.

Assistant Professor with Tenure Track of ML for Cyber-Physical Systems

TU Wien, Vienna, Austria
Deadline: 2025-08-07 | Apply

Details

The TU Wien Faculty of Informatics seeks to fill the open tenure-track position of an Assistant Professor of Machine Learning for Cyber-Physical Systems. The position is affiliated with the Institute of Computer Engineering, Research Unit Cyber-Physical Systems. The estimated starting date is March 2026. The work contract is initially limited to six years. The candidate and TU Wien can agree upon a tenure evaluation, which when positive, opens the possibility to change the position to Associate Professor with an unlimited contract.

Postdoc Opportunities

High Energy Theory Postdoc

Brookhaven National Laboratory, Upton, NY
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Details

The High Energy Theory Group (HET) has active programs in many areas of theoretical particle physics. There are strong efforts in neutrino physics, Beyond the Standard Model phenomenology, precision calculations for the LHC and intensity frontier, overlaps of particle physics and cosmology, and lattice gauge theory. The lattice efforts span weak interaction physics, precision calculations of (g-2) and PDF determinations, and the development of new algorithms, among others.

The successful candidate will be expected to conduct research focused on precision tests of the Standard Model and/or beyond the Standard Model physics at the proposed Electron-Ion collider. Priority will be given to those whose research proposal demonstrates high intellectual merit and the willingness to use machine learning and/or AI techniques.

Two-year postdoctoral positions at the Institute of Information Theory and Automation (UTIA)

The Czech Academy of Sciences, Prague, The Czech Republic
Deadline: 2025-08-29 | Apply

Details

The Institute of Information Theory and Automation (UTIA), Czech Academy of Sciences (http://www.utia.cas.cz/) invites applications for two-year postdoctoral positions in the institute beginning in January 2026.

Candidates are expected to work in one of these areas:

- artificial intelligence and machine learning,
- probabilistic graphical models,
- statistics and stochastics,
- image, video, and signal processing,
- control theory,
- adaptive decision intelligence and human-centric intelligence,
- modelling economic and financial problems,
- non-smooth analysis,
- PDEs, calculus of variations, and continuum mechanics.
- The candidates are also expected to have a strong record of, or outstanding potential for, significant research and have no more than two years since being awarded a Ph.D., Dr. or equivalent title (as of September 30, 2025). Moreover, experience in obtaining third-party funds is advantageous.
- The Institute offers a monthly salary of CZK 50 000 (about 2 000 EURO) and yearly benefits supporting e.g. recreational and sport activities, as well as health care programs. Complete applications must be received by August 29, 2025.
- In case of interest, please send your application via email to utia@utia.cas.cz. The application should include a CV, a research statement, a motivation letter, and a copy of the PhD diploma. Letter(s) of recommendation is/are welcome. They should be sent by their authors directly to the email above.

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.

Eric and Wendy Schmidt AI in Science Postdoctoral Fellows (1 Year Linked Fellowship with NCBS)

Imperial College London, UK
Deadline: 2025-09-24 | Apply

Details

Applications are invited for the prestigious Eric and Wendy Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. This 1-year appointment at Imperial College has a linked 1-year appointment at NCBS Bangalore. There are up to two fellowships available. This is a full time, fixed term position for 1 year based at the White City Campus (with a subsequent 1 year linked position at NCBS Bangalore that starts after the completion of the first year at Imperial). Details of the NCBS Bangalore position can be found at https://www.ncbs.res.in/academic/postdoc-ai-in-biology. Candidates are required to apply for both the Imperial and NCBS roles. This is a full time, fixed term position for 1 year based at the White City Campus (with a subsequent 1 year linked position at NCBS Bangalore that starts after the completion of the first year at Imperial).

Imperial College Research Fellowships

Imperial College London, UK
Deadline: 2025-08-18 | Apply

Details

The Imperial College Research Fellowship (ICRF) scheme is designed for outstanding early career researchers looking for an opportunity to focus on research and establish scientific independence.

As an ICRF you will receive a four-year fellowship which includes:

-A competitive salary
-A contribution toward research and travel costs (up to £45,000)
-Personal mentoring support from a senior Imperial member of academic staff (sponsor)
-Focused career support, training courses and development opportunities from the College's Early Career Researcher Institute
-The chance to take full responsibility for setting and directing your own research agenda and career trajectory, with no obligatory teaching, and with the possibility of spending up to twelve months visiting other research institutions and/or in industry

Eric and Wendy Schmidt AI in Science Postdoctoral Fellows (1 Year Linked Fellowship with AIMS South Africa)

Imperial College London, UK
Deadline: 2025-09-24 | Apply

Details

Applications are invited for the prestigious Eric and Wendy Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. This 1-year appointment at Imperial College has a linked 1-year appointment at AIMS South Africa. A PDF with details of the AIMS South role and how to apply can be found at: https://aims.ac.za/wp-content/uploads/sites/5/2025/06/AI-in-Science-Postdoctoral-Fellowship.pdf. Details are also available on the AIMS webpages at https://aims.ac.za/work-at-aims/. Candidates are required to apply for both the Imperial and AIMS roles. This is a full time, fixed term position for 1 year based at the White City Campus (with a subsequent 1 year linked position at AIMS South Africa that starts after the completion of the first year at Imperial).

Chapman-Schmidt AI in Science Postdoctoral Fellows (Research Associate)

Imperial College London, UK
Deadline: 2025-09-24 | Apply

Details

The Chapman Schmidt AI in Science Fellows will produce independent and original research, using AI to advance science, within the Maths Department and the I-X Centre for AI in Science. These fellowships have the aim of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here ‘AI’ is interpreted very broadly, e.g.: topics in Bayesian Inference and Robotics; ‘Science’ covers any typical topic in Natural Science and Engineering (Epidemiology, Biology and basic science in biomedicine are included but clinical medical themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and astrostatistics. These posts are not suitable for generic AI research with general application: candidates must be aiming to substantially advance a particular area of science. Applicants could view themselves as AI researchers tackling particular pieces of science or science researchers using AI to transform their area. Extensive AI knowledge is not required, and AI training is offered.

Chapman-Schmidt AI in Science Postdoctoral Fellows (Research Fellow)

Imperial College London, UK
Deadline: 2025-09-24 | Apply

Details

Eric and Wendy Schmidt AI in Science Postdoctoral Fellows (Research Fellow)

Imperial College London, UK
Deadline: 2025-09-24 | Apply

Details

The Eric and Wendy Schmidt Ai in Science Fellows will produce independent and original research, using AI to advance science within their host department and the I-X Centre for AI in Science. These fellowships have the aim of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here ‘AI’ is interpreted very broadly, e.g.: topics in Bayesian Inference and Robotics; ‘Science’ covers any typical topic in Natural Science and Engineering (Epidemiology, Biology and basic science in biomedicine are included but clinical medical themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and astrostatistics. These posts are not suitable for generic AI research with general application: candidates must be aiming to substantially advance a particular area of science. Applicants could view themselves as AI researchers tackling particular pieces of science or science researchers using AI to transform their area. Extensive AI knowledge is not required, and AI training is offered.

Eric and Wendy Schmidt AI in Science Postdoctoral Fellows (Research Associate)

Imperial College London, UK
Deadline: 2025-09-24 | Apply

Details

Postdoc Position in Machine Learning

The Institute of Science and Technology Austria (ISTA), Klosterneuburg, Austria
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Details

A postdoc position in Machine Learning is available immediately at the Institute of Science and Technology Austria (ISTA) in the group of Christoph Lampert. Possible topics include, but are not limited to,

- trustworthy machine learning (e.g. privacy, fairness,robustness, federated learning, LLM security, ...),
- transfer/continual/meta learning (also multi-task learning, domain adaptation, lifelong learning, ...),
- the intersection of machine learning with classical AI (logic, knowledge representations, SAT/SMT), associated with the FWF Cluster of Excellence 'Bilateral AI'

Applicants should hold a PhD, or be close to graduating, in machine learning or a related area of modern data analysis with a strong background in mathematics, programming and analytic reasoning. An excellent research record is required, documented by publications at first-tier ML conferences (NeurIPS, ICML, ICLR) or journals (JMLR, TPAMI, ML). For this call, please do not apply without at least one such publication.

We are looking a for highly motivated and creative individuals who enjoy working in an excellent research environment including state-of-the-art compute resources, and generous funding for equipment and conference travel. The successful candidate will have no mandatory teaching or administrative duties, though voluntary teaching of PhD-level courses is encouraged and supported. He or she should be motivated to take an active role in the further development of the research group and the local ELLIS unit. Good communication skills and fluency in English are required. German language skills are welcome but not required.

Conditions of employment: The post-doctoral position is provided for one or two years with competitive salary. Extensions are possible. The starting date is flexible. There is no fixed deadline, applications will be considered until all positions are filled.

Application procedure: Formal applications should include CV, a statement of research experience and interests, list of publications, academic transcripts, as well as the contact details of three references. Please send applications as a single PDF document to Prof. Christoph Lampert (chl(at)ist.ac.at).

About the institute: ISTA (http://www.ist.ac.at) is a young research institute that opened its campus near Vienna in 2009. It is dedicated to curiosity-driven basic research in the computer science, mathematics, natural sciences and related disciplines. The language of the Institute is English.

Postdoc and PhD/MS Candidates in Safe/Secure Machine Learning

VinUniversity, Hanoi, Vietnam
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Details

VinUniversity (https://vinuni.edu.vn) is seeking highly motivated candidates for one postdoctoral, one Master’s and one Ph.D. position in the broad areas of machine learning, multimodal learning, and autonomous systems. The research will focus on developing and analyzing novel algorithms in safe and secure machine learning, especially on Large Language Models (LLMs), Vision-Language Models, and agent-based environments. Topics of interest include—but are not limited to—pre-training strategies, fine-tuning techniques, bias and fairness, interpretability, adversarial robustness, and alignment in AI systems, with potential applications in sustainability, farming, material discovery, and healthcare.

These positions are closely co-advised by Khoa Doan (Assistant Professor, CECS) and Nitesh Chawla (Honorary Professor at VinUniversity, Frank M. Freimann Professor of Computer Science and Engineering at the University of Notre Dame, and the Founding Director of the Lucy Family Institute for Data and Society). The candidates will have opportunities for collaboration with international partners, including the University of Notre Dame, UIUC, the University of Stuttgart, and MPI. Strong candidates will also be funded to spend a portion of their time at the University of Notre Dame, working closely with Nitesh Chawla and potentially other scholars at Lucy Family Institute for Data & Society.

Interested applicants are encouraged to send their CV and recent publications to Dr. Khoa D Doan (khoa.dd@vinuni.edu.vn).

Post-Doctoral Research Visit - Self-Tuning Algorithms for Hyperparameter-Free Optimization

The Inria Centre at Rennes University, France
Deadline: 2025-08-31 | Apply

Details

This post-doctoral position is part of the Inria-funded exploratory project HYPE (HYPErparameter-Free Optimization Algorithms by Online Self-Tuning). This work will be carried out in the MALT team at Centre Inria de l'Université de Rennes, in collaboration with Paul Viallard and Romaric Gaudel. The MALT team conducts research in machine learning, optimization, and statistical learning theory. Moreover, this position is fully funded, includes travel support for conferences, and offers access to high-performance computing resources.

Other Academic Opportunities

MARS Senior Research Associate

Lancaster University, Bailrigg, Lancaster, UK
Deadline: 2025-08-24 | 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.

Research Engineer in Machine Learning

The Cyprus Institute, Nicosia, Cyprus
Deadline: 2025-08-06 | Apply

Details

The successful candidate will be working for the TensorICE project and will contribute to the development of novel machine learning algorithms and models that leverage tensor methods to produce efficient, interpretable, and controllable multimodal foundation models (including e.g., multimodal large language models, MLLMs). Besides the CyI, the successful candidate will have the opportunity to collaborate with foreign research partners that include the Archimedes Unit at the Athena Research Center in Greece, and Imperial College London, UK.

Industry Opportunities

Senior Machine Learning Engineer

Unlearn, San Francisco, CA
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Details

Machine Learning Engineers innovate on Unlearn’s approach to build state-of-the-art ML systems for generating Digital Twins – probabilistic models of a patient’s future health outcomes given knowledge of their current and past medical history. ML Engineers at Unlearn come from a wide range of disciplines, and have honed their craft through their experience delivering robust and reliable ML products and systems. Successful ML Engineers at Unlearn are entrepreneurial in their approach; feeling a strong sense of end-to-end ownership of their mission, they investigate broadly to find the right tools and techniques to help their teams succeed. They are also highly determined individuals, powering through problems with cleverness and resolve.

Applied Machine Learning Scientist

Unlearn, San Francisco, CA
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Details

Applied ML Scientists lead Unlearn’s work to develop state-of-the-art ML approaches for generating Digital Twins – probabilistic models of a patient’s future health outcomes given knowledge of their current and past medical history. Applied ML Scientists at Unlearn come from a wide range of disciplines, and have honed their ML expertise through their previous experience conducting novel and impactful research at top academic and industrial labs or their previous work delivering ML and data-science products in highly ambiguous and challenging commercial settings. Successful Applied ML Scientists at Unlearn are entrepreneurial in their approach; feeling a strong sense of end-to-end ownership of their mission, they investigate broadly to find the right tools and techniques to help their teams succeed. They are also highly determined individuals, powering through problems with cleverness and resolve.