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-Adjacent 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

AI for Education Growth and Community Lead

The Institute of Cognitive Science (ICS) at the University of Colorado Boulder
Deadline: 2026-06-30 | Apply

Details The Institute of Cognitive Science (ICS) at the University of Colorado Boulder anticipates hiring a full-time Growth and Community Lead to support the scaling of our AI for education products. In this position, you will work closely with the leadership team to create and identify opportunities to bring our products into classrooms and districts, and engage in activities to help support the implementation of our products at scale.

Machine Learning - Open Rank Faculty

Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE
Deadline: 2026-08-31 | 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.

Assistant Professor of Statistics

University of California, Davis
Deadline: 2026-06-30 | Apply

Details ​The Department of Statistics at the University of California, Davis, invites applications for a full-time tenure-track faculty position in Statistics. This search and hiring will be conducted at the assistant professor rank. The search will be primarily in Data Science, but all areas of Statistics and Machine Learning will be considered. Individuals specializing in foundational research in data science or in statistical methods for large and complex or massive data are especially encouraged to apply.

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).

Postdoc Opportunities

Research Assistant/Fellow in Computational Statistics and Machine Learning

The Department of Statistical Science at UCL, University College London, London, UK
Apply

Details

Postdoctoral Scholar — AI Researcher for Critical Mineral Discovery

Stanford Mineral-X, Stanford University, Paolo Alto, CA, United States
Apply

Details Fully funded 3-year postdoctoral fellowship at Stanford Mineral-X, advised by Prof. Jef Caers, in collaboration with KoBold Metals, developing and deploying new methods for critical mineral exploration and resource definition. The scholar will develop and apply AI, muon tomography, seismic imaging, and geophysical inversion methods to discover and characterize copper, nickel, lithium, cobalt, and rare earth deposits using real exploration data from active field programs. More information here: https://postdocs.stanford.edu/postdoc-admins/policy/funding-rates-and-guidelines.

Several Postdoctoral researcher positions in machine learning

Professor Samuel Kaski’s research group in ELLIS Institute Finland (Probabilistic Machine Learning Group) or the UK (Centre for AI Fundamentals)
Deadline: 2026-06-28 | Apply

Details Samuel Kaski’s two-part research lab in ELLIS Institute Finland (Probabilistic Machine Learning, Aalto University) and the Centre for AI Fundamentals in University of Manchester, is searching for postdocs and doctoral students to work on AI fundamentals in exciting projects. The work includes collaboration within ELLIS Institute Finland, the Finnish Center for Artificial Intelligence (FCAI), with the rest of ELLIS, and researchers from other fields. Samuel Kaski is Professor of Computer Science in Aalto University and Professor of AI in the University of Manchester. He is the Director of ELLIS Institute Finland and the Finnish Center for Artificial Intelligence . His research group develops machine learning principles and methods focusing on a few key topics, often working with researchers of other fields in new exciting applications.

Postdoctoral Research Associate – AIchemy Frontier Fund (Liverpool/York/Sheffield)

Department Of Artificial Intelligence, University of Liverpool, Liverpool, UK
Deadline: 2026-07-01 | Apply

Details We are seeking to recruit a researcher to join AIchemy’s Research Theme I (Human-in-the-Loop). This role is at the cutting edge of autonomous robotic chemistry, focusing on the development of embodied AI agents capable of working seamlessly alongside human scientists. You will lead research into learning-based robot manipulation to advance the capabilities of autonomous robotic chemists. This interdisciplinary position sits at the intersection of robotics, machine learning, and sustainable chemistry. You will join a vibrant research environment at the University of Liverpool, building upon our team's recent high-impact publications. This work is supported by prestigious grants, including a Royal Academy of Engineering Research Fellowship and an EPSRC New Investigator Award, offering significant opportunities for collaboration on aligned projects.

Postdoctoral Research Associate – International asynchronous AI-led chemical optimisation (Liverpool/Imperial/Acceleration Consortium)

Department Of Artificial Intelligence, University of Liverpool, Liverpool, UK
Deadline: 2026-07-01 | Apply

Details We are seeking to recruit a researcher to join AIchemy’s Research Theme I (Human-in-the-Loop). This role is at the cutting edge of autonomous robotic chemistry, focusing on the development of embodied AI agents capable of working seamlessly alongside human scientists. You will lead research into learning-based robot manipulation to advance the capabilities of autonomous robotic chemists. This interdisciplinary position sits at the intersection of robotics, machine learning, and sustainable chemistry. You will join a vibrant research environment at the University of Liverpool, building upon our team's recent high-impact publications. This work is supported by prestigious grants, including a Royal Academy of Engineering Research Fellowship and an EPSRC New Investigator Award, offering significant opportunities for collaboration on aligned projects.

Other Academic Opportunities

1-2 doctoral researcher positions in machine learning

Professor Samuel Kaski’s research group in ELLIS Institute Finland (Probabilistic Machine Learning Group) or the UK (Centre for AI Fundamentals)
Deadline: 2026-06-28 | Apply

Details Samuel Kaski’s two-part research lab in ELLIS Institute Finland (Probabilistic Machine Learning, Aalto University) and the Centre for AI Fundamentals in University of Manchester, is searching for postdocs and doctoral students to work on AI fundamentals in exciting projects. The work includes collaboration within ELLIS Institute Finland, the Finnish Center for Artificial Intelligence (FCAI), with the rest of ELLIS, and researchers from other fields. Samuel Kaski is Professor of Computer Science in Aalto University and Professor of AI in the University of Manchester. He is the Director of ELLIS Institute Finland and the Finnish Center for Artificial Intelligence . His research group develops machine learning principles and methods focusing on a few key topics, often working with researchers of other fields in new exciting applications.

Lecturer Pool - Electrical Engineering and Computer Science

The University of California, Berkeley
Deadline: 2027-02-01 | Apply

Details ​The Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley invites applications for a pool of qualified temporary instructors to teach Electrical Engineering or Computer Science courses should an opening arise. These are not tenure‐track positions – selected candidates will hold the title of Lecturer. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester, depending on the needs of the department. Due to budget restrictions, no funding is available for visa or relocation expenses.

Industry Opportunities

Research Engineer for VLMs

PerceptAI
Apply

Details As a Research Engineer for VLM, you will be at the forefront of core architecture development, bridging the gap between language, vision, and 3D geometry. You will design, train, and scale large vision-language models optimized for spatial reasoning, semantic grounding, and situational awareness. Leveraging cutting-edge multi-modal AI, you will develop the foundational models that allow PerceptAI to not just see the world, but deeply comprehend its spatial layouts, 3D scenegraphs, and agentic possibilities at an unprecedented scale.

Postdoctoral Researcher/Engineer

PerceptAI, Sunnyvale, CA, United States
Apply

Details As a Computer Vision & 3D Perception Researcher/Engineer, you will be at the forefront of core architecture development. You will design, train, and scale deep learning models that synthesize dense 3D environments from vast, heterogeneous datasets. Leveraging cutting-edge computer vision techniques such as Gaussian Splatting and Semantic Segmentation, you will develop the foundational systems that allow PerceptAI to reconstruct and comprehend the real world at an unprecedented scale. In particular, you will design and pioneer deep learning architectures optimized for 3D perception, bridging the gap between raw visual inputs and structured, scenegraph representations of the world.

This project is supported by National Science Foundation under Cooperative Agreement PHY-2019786. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.