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.
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.Postdoctoral Research Associate
Brown University Physics Department, Providence, Rhode Island
Deadline: 2025-08-01 | Apply
Details
The high-energy physics group at Brown University seeks to appoint a postdoctoral research associate. The successful candidate will primarily work with Prof. Matt LeBlanc in support of a new project related to Computational Advances that will Enable Precision Physics at the High Luminosity LHC.Maximizing the scientific potential of the enormous datasets from the LHC requires significant computational resources for data acquisition, processing and storage. The need for efficient computing solutions will intensify further during the era of the HL-LHC, when data collection rates will increase by roughly an order of magnitude relative to today. This project aims to enhance the discovery potential of the HL-LHC by facilitating more effective knowledge discovery from its vast dataset. This includes investigating novel lossy compression techniques and their impact on physics analysis, particularly for AI/ML applications, as well as developing advanced methods to improve the efficiency of Monte Carlo event generation; for instance, by addressing challenges posed by negative event weights.
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
Professorship in Machine Learning
University of Cologne, Germany
Deadline: 2025-07-31 | Apply
Details
In the context of its expansion of its Division of Computer Science, the Department of Mathematics and Computer Science would like to extend its research portfolio in the field of machine learning. We invite applicants focused on advancing the core theories, algorithms, and principles of machine learning. We are specifically looking for a person that explores fundamental methods, beyond just applying these techniques to specific domains and applications. Possible research topics include, but are not limited to deep learning, foundation models, reinforcement learning, representation learning, generative models, causal reasoning, learning theory, transfer learning, probabilistic methods, data-centric methods, evaluation methodology, neurosymbolic AI, optimization, and technical aspects of machine learning fairness, safety, and privacyAssistant 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
3-year postdoctoral position on AI, Privacy, and Policy
University of Oxford, England
Deadline: 2025-07-17 | Apply
Details
This postdoctoral position is full-time and fixed-term for 36 months with the possibility of renewal thereafter. You will be based in Oxford as your normal place of work with the possibility of hybrid work within the UK only. We are looking for a candidate interested in developing their own research questions in alignment with the interests and skills present in the research team. We are particularly interested in investigating how modern privacy-enhancing technologies (e.g. based upon synthetic data or using formal differential privacy guarantees) impact research integrity and reproducibility. This is an exciting line of research with potential to not only improve how researchers access crucial sensitive data around the world, but also build tools for them to understand if the anonymised data they receive is “good enough” to conduct rigorous research.Research Associate or Research Fellow In Machine Learning
The University of Manchester, England
Deadline: 2025-07-27 | Apply
Details
Applicants are invited for the posts of Research Associate or Research Fellow in Machine Learning to work with AI Researchers in the Centre for AI Fundamentals at the University of Manchester. You will join a team of probabilistic modellers and machine learning researchers developing new collaborative AI principles and methods. This is an exciting topic which inspires new problems in fundamental ML work, and allows attacking new applications which make a difference, for instance in scientific research. Different team members have different expertise, and by working together are able to address more novel problems. Keywords include: automatic experimental design, Bayesian inference, human-in-the-loop learning, machine teaching, privacy-preserving learning, reinforcement learning, inverse reinforcement learning, computational rationality and user modelling, and simulator-based inference.Postdoctoral position on Large Language Models
Idiap Research Institute, Martigny, Switzerland
Deadline: 2025-07-28 | Apply
Details
As part of the ERC Advanced grant BALM, Idiap Research Institute seeks qualified candidates for a postdoctoral researcher position at the intersection of machine learning and natural language processing. This researcher wil investigate memory-augmented large language models (LLMs, RAG) using our recent results in representation learning and knowledge-graph embedding. Together we will leverage and extend our variational-Bayesian theory of how transformers represent information to develop new LLM architectures with improved controllability and interpretability, leading to novel applications and their evaluation.Post Doctoral Research Associate at NSF NOIRLab
CosmicAI, Tucson, Arizona
Deadline: 2025-07-15 | 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 curation, analysis, and processing of astronomical data at the NSF NOIRLab, located in Tucson, Arizona. The postdoctoral fellow will lead a project on the curation and analysis of multi-epoch time-domain training data for real-time classification algorithms in the context of alert brokers, such as ANTARES, for the Vera Rubin Observatory and its Legacy Survey of Space and Time (LSST). This work will be carried out in close collaboration with CosmicAI team members at various institutions, including NOIRLab (Tom Matheson), SLAC (Adam Bolton), and the University of Virginia (Maryam Modjaz). Although stationed at NSF NOIRLab, CosmicAI fellows will have full access to Institute facilities and equipment (e.g., world-class computational resources at the Texas Advanced Computing Center, including Vista, a newly instantiated 600 GPU node cluster) and routinely collaborate with Institute members across all sites to facilitate the development of cutting-edge AI tools and methodologies.Postdoctoral Researcher, Fundamental AI Research
Meta, Multiple Locations
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Details
Meta is seeking a Postdoctoral Researcher to join Fundamental AI Research (FAIR), a research organization focused on making fundamental progress in AI. Individuals in this role are expected to conduct cutting-edge research in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including topics such as deep learning, computer perception, natural language processing, representation learning, optimization, reinforcement learning, privacy in machine learning, security of AI systems, foundations of generative modeling, compression and information theory, and social implications of AI. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology towards achieving advanced machine intelligence.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.Postdoctoral Researcher in AI / Machine Learning / Computer Vision / NLP(LLMs)
The AIML Lab at Carleton University, Ottowa, Canada
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Details
We are looking for candidates with a background in Machine Learning, Computer Vision, Natural Language Processing (LLMs), Medical Data Analysis or AI more broadly. If you're interested or would like more information, please contact Prof. Yuhong Guo at yuhong.guo@carleton.ca.Other Academic Opportunities
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
AI Education Initiative - Paid Teaching Summer 2025
Inspirit AI, Multiple Locations
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