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.
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 - Open Rank Faculty
Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates
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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 open-rank, tenured/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).Professor (W3) of Machine Learning
Ulm University, Germany
Deadline: 2025-06-15 | Apply
Details
We seek exceptional candidates with a distinguished international track record in machine learning to contribute to the formation of our Computer Science department profile. The research of this professorship should focus on fundamental methodological contributions to machine learning. This includes expertise in statistical learning methods, neural network architectures, cognitive modelling of learning and adaptation processes, relational and structured learning models, and related topics. The ideal candidate will demonstrate connections to the faculty's key focus area, 'Cognitive Systems,' and the strategic development area, 'Data Science.'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”.Tenure Track Assistant or Associate Professor in AI
Technical University of Denmark (DTU)
Deadline: 2025-04-30 | Apply
Details
The Technical University of Denmark (DTU) is seeking a new Tenure Track Assistant or Associate Professor in AI. The position is initially funded by the Pioneer Centre for AI (see AIcentre.dk). We seek candidates in any field of machine learning theory, algorithms and computation or in AI applications in e.g., the social, neuro, or natural sciences, are encouraged to apply. The position comes with a start package funded by the Pioneer Centre. The package will allow you to establish a group of junior scientists.Lecturer/ Senior Lecturer/ Reader in Foundational AI
University of Glasgow, Scotland
Deadline: 2025-04-30 | Apply
Details
The successful applicant will be a member of the Formal Analysis, Theory and Algorithms (FATA) section, whose members are engaged in world-leading research on formal methods, programming language foundations and algorithms. It is expected that the post-holder will collaborate closely with the Information, Data and Analysis (IDA) section, which includes four world-leading research groups in data systems, human-computer interaction & machine learning, information retrieval, and computer vision & autonomous systems, as well as with the GLAsgow Systems Section (GLASS), which includes expertise in cybersecurity and adversarial AI. Particular areas where collaboration would be welcomed are computer vision, information retrieval, natural language processing and inference, and cybersecurity. There are also opportunities to collaborate with colleagues in the School of Mathematics and Statistics, where research on Foundational AI is being actively pursued.Tenure-Track Assistant Professorship in Natural Language Processing
TU Wien, Vienna, Austria
Deadline: 2025-05-22 | Apply
Details
The TU Wien Faculty of Informatics seeks to fill the open tenure-track position of an Assistant Professor of Natural Language Processing. The position is affiliated with both the Data Science Research Unit, part of the Faculty of Informatics, and the Complexity Science Hub. The estimated starting date is January 2026.Postdoc Opportunities
Postdoc Position in Robotics/RL/ML
Mila - Quebec Artificial Intelligence Institute, Canada
Deadline: 2025-05-02 | Apply
Details
The Robotics and Embodied AI Lab (REAL) at Mila has an open postodc position in robotics and machine learning. REAL is directed by Canada CIFAR AI chair holders and professors Liam Paull and Glen Berseth and has four research assistants, over 30 members and is affiliated with four professors around Montreal. The main direction of the lab is to create generalist robot systems that can complete a diversity of tasks across robots in unstructured environments.Postdoctoral and PhD Positions in Computational Cognitive Science and AI
TU Darmstadt, Germany
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Details
Prof. Angela Yu's Research Group, TU DarmstadtAfter 14 years as faculty at the University of California San Diego, Prof. Angela Yu joined TU Darmstadt as an Alexander von Humboldt AI Professor in 2023. Multiple PhD and postdoctoral positions are immediately available in her research group.
Research Focus
Prof. Yu's group investigates the intersection of natural and artificial intelligence using mathematically rigorous approaches to understand the representations and computations underlying intelligent behavior. The research particularly addresses challenges of inferential uncertainty and opportunities of volitional control. The group employs diverse methodological tools including Bayesian statistical modeling, control theory, reinforcement learning, and information theory to develop theoretical frameworks explaining key aspects of cognition: perception, attention, decision-making, learning, cognitive control, active sensing, economic behavior, and social interactions.
Current Research Questions
- How is socio-emotional intelligence similar or different from cognitive intelligence? How can AI be taught socio-emotional intelligence?
- How are artificial intelligence (e.g. as demonstrated by large language models) and natural intelligence (e.g. as measured by IQ tests) similar or different in their underlying representation or computations?
- What roles do intrinsic motivations such as curiosity and representational efficiency play in intelligent systems?
- How can insights about artificial intelligence improve the understanding and augmentation of human intelligence?
- Are capacity limitations with respect to attention and working memory features or bugs in the brain? How can AI systems be enhanced by attention or WM?
- How does the brain achieve computational efficiency and efficacy with little labeled data and energetic needs?
Academic Environment
Prof. Yu brings extensive expertise in computational neuroscience and cognitive science, with substantial experience in computational modeling and cross-disciplinary collaborations. Her research enhances the Centre for Cognitive Science at TU Darmstadt and hessian.AI (the Centre for Artificial Intelligence of Hesse). Group members will have opportunities to collaborate with leading researchers across cognitive science, AI, neuroscience, and related fields not only in Darmstadt but also in nearby research hubs (Frankfurt, Mainz, Marburg, Gießen, Heidelberg, Tübingen).
Position Details
- Start date: flexible (immediately available)
- Compensation: Highly competitive with U.S. and European standards, based on experience and expertise
- Language requirements: English fluency required; German proficiency not necessary
- Location: Darmstadt, an international city with a diverse academic community
Application Process
Interested candidates should email the following to Prof. Yu (angela@angelayu.org) and her secretary (Ms. Anita Schilz (anita.schilz@tu-darmstadt.de)
- CV
- Undergraduate and master's transcripts (unofficial versions acceptable)
- Contact information for 2-4 references
- Research statement explaining specifically why you and Prof. Yu's research group would be a good mutual fit
Research Scientist or Postdoctoral Researcher at the intersection of deep learning, Bayes, and optimization
RIKEN Center for Advanced Intelligence Project (1-4-1, Nihonbashi, Chuo, Tokyo)
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Details
The candidate will work on problems at the intersection of deep learning, Bayesian inference, optimization and reinforcement learning. The candidate is expected to carry out research and publish their findings in top machine-learning conferences, and help in the management of the group, as well as supervision of internship students and technical staffs. The position is meant to further the careers of early-career researchers who wish to pursue a career in academia.20 King’s AI+ Academic Fellowships (leading to an open-ended academic post)
King’s College London
Deadline: 2025-05-19 | Apply
Details
King’s College London is engaged in a major strategic investment in “AI+”, focused on AI innovation and application applied to any/all areas of research – including health, humanities, biosciences, social sciences, arts, business and law, and physical/mathematical sciences.We aim to bring the full potential of AI to research across King’s, building on existing world-class expertise in a range of areas. We have therefore created 20 AI+ Academic Fellowships, which will grow our AI+ academic community by investing in the brightest minds worldwide. We are committed to recruitment processes which engage all dimensions of society.
Open Postdoctoral Positions on LLMs and more
Chandar Lab and Mila, the Quebec AI Institute
Deadline: 2025-04-30 | Apply
Details
At Chandar Lab and Mila, the Quebec AI Institute, we have four open postdoctoral positions on the following topics:(1) Postdoc position on large language models (LLMs)
Topics of interest include but not limited to better pre-training methods, better fine-tuning methods, bias and fairness, interpretability, safety and alignment, continual pre-training.
(2) Postdoc position on foundation models for biological data
Topics of interest include but not limited to foundation models (both encoder and decoder models) for proteins, small molecules, and genomics data, multi-modal foundation models for biological data, 3d generative modelling, drug discovery.
For this position, we are looking for a candidate with strong ML/LLM/Transformers/Foundation Models background. If you do not have the biological domain background, but are interested in exploring AI for science, this is a perfect position for you. In this position, you will be working closely with our pharmaceutical partners who are experts in biology.
(3) Postdoc position on foundation models for time series data
Topics of interest includes but not limited to better sequential architectures, state space models, recurrent neural networks, attention-free architectures, etc.
(4) Postdoc position on foundation models for Astrophysics
The topics of interest includes but not limited to recurrent inference machines, Transformers, diffusion models for radio images in Astrophysics.
CosmicAI Postdoctoral Fellow — LLMs/Generative AI
UT Austin, Texas
Deadline: 2025-05-01 | Apply
Details
The NSF-Simons AI Institute for Cosmic Origins (CosmicAI) seeks highly qualified candidates (within three years of the award of their PhD) for a postdoctoral position with the Explorable Universe research group.This postdoctoral fellow position will perform research with the Explorable Universe team on developing next-generation generative AI copilots and agents to aid astronomy research, inclusive of text and/or multimodal foundational models. Successful candidates will be appointed within the Department of Computer Science at the University of Texas, Austin (UT Austin) and co-supervised by the team of Greg Durrett, Jessy Li, and Matthew Lease.
Other Academic Opportunities
Call for Collaboration - Renormalization for AI safety
PIBBSS (Principles of Intelligent Behavior in Biological and Social Systems)
Deadline: 2025-04-27 | Apply
Details
PIBBSS is an interdisciplinary research organization that supports research from basic science with the potential to make an outsized impact in AI Safety. We're currently seeking affiliates and collaborators for a new direction from our horizon scanning team: Renormalization for AI Safety. This agenda explores how ideas from theoretical physics and complex systems—particularly renormalization—can shed light on the scaling behavior, feature representations, and phase transitions in AI systems. If you're interested in contributing to foundational work at the intersection of physics, complex systems, and AI alignment, we’d love to hear from you. For more context, see the links below:(1) Details on our current programmes: https://www.lesswrong.com/posts/wkGmouy7JnTNtWAbc/opportunity-space-renormalization-for-ai-safety
(2) The roadmap for this research agenda: https://www.lesswrong.com/posts/74wSgnCKPHAuqExe7/renormalization-roadmap
LASR Labs - Summer research programme in AI Safety
LISA Office, London, England
Deadline: 2025-04-26 | Apply
Details
A full-time, 13 week paid (£11k stipend) research programme for people interested in careers in technical AI safety. Write a paper as part of a small team with supervision from an experienced researcher. Past alumni have gone on to Apollo Research, Open AI dangerous capability evals team, UK AI Security Institute or continued working with their supervisors. In 2023, 4 out of 5 groups had papers accepted to workshops or conferences (ICLR, NeurIPS). Work from the LISA office alongside Apollo Research, Bluedot Impact, MATS extension, etc.Industry Opportunities
Research Scientist – Generative AI
Nokia Bell Labs, Murray Hill, New Jersey
Deadline: 2025-06-13 | Apply