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.
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.Professor in the field of Artificial Intelligence
The University of Cyprus
Deadline: 2025-07-04 | Apply
Details
The Department of Computer Science (www.cs.ucy.ac.cy) at the University of Cyprus announces one (1) academic position at the rank of Professor in the field of Artificial Intelligence. The position will be filled under XM’s designated chair entitled “The XM Chair in Artificial Intelligence”.Postdoc Opportunities
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
Apply
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.Research Assistant/Associate in Machine Learning (Fixed Term)
University of Cambridge, UK
Deadline: 2025-07-03 | Apply
Details
We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This position will contribute to the research programme of the recently founded 'AI Hub in Generative Models', a research consortium funded by EPSRC. The goal of the programme is to do research in the area of deep generative models, e.g., diffusion, energy based, normalizing flow or transformer-based models. With a focus on the particular domain of molecules. The project will contribute to accelerate the drug discovery process, leading to more economic and effective drugs that can significantly improve the health and lifestyle of millions. The resulting methods are also expected to have an impact in materials science, e.g, by leading to more effective batteries.Postdoctoral Research Associate in fair machine learning and large language models
The University of Sydney, Australia
Deadline: 2025-06-29 | Apply
Details
The School of Mathematics and Statistics is currently seeking a Postdoctoral Research Associate in fair machine learning and large language models. Your key responsibilities will be to:- Work on the ARC DP project on theory and algorithms for fair (trustworthy) machine learning and large language models (LLM)
- Work on the theoretical analysis and the design of efficient optimization algorithms for fair machine learning models and post-training LLMs which aligned with human values
- Conduct extensive simulation and experiments on real-world applications
- Help with academic communications with industrial collaboration partners.
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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Details
Inspirit AI is an AI education initiative led by graduate students from Stanford and MIT, that has brought project-based AI education to high school students in 70+ countries globally. We are looking to bring on mentors to expose students to diverse applications of Gen AI through in-person 2 week programs across the US. If interested, please fill out this brief form and email adeesh@alumni.stanford.edu with any questions: https://2025teachinginterest.paperform.co/?utm_campaign=su25mp2ML Scientist
Sense Street, London, UK
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Details
At Sense Street, we are developing natural language understanding systems for capital markets. Our premise is simple: markets are conversations, and we aim to help investment banks and asset managers have better, more efficient conversations. Through our partnerships with global banks, we have access to datasets that have not been made available in the past. This allows us to create language models uniquely suited to capital markets while advancing the state-of-the-art. We are a venture backed company founded by professionals with experience spanning machine learning, trading, and quantitative research.As an experienced ML expert in the Data Science team, you will part of an innovative team of machine learning researchers, engineers, and domain experts. Here you will have the opportunity to prototype novel methods to analyse linguistic corpora that are not widely available, and to contribute to the development of cutting-edge models, while learning about specialised topics in the financial domain. You will gain experience of company and culture creation in still early stage of our start-up journey.