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-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.
IAIFI Fellow
IAIFI/MIT
Deadline: 2026-10-07 | 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 some of 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, Tenured/Tenure Track Position in Physics - Artificial Intelligence/Machine Learning
Georgia Institute of Technology - School of Physics, Atlanta. Georgia, US
Deadline: 2026-10-20 | Apply
Details
The School of Physics (https://physics.gatech.edu/) at the Georgia Institute of Technology in Atlanta, Georgia invites applications for an open-rank tenured/tenure-track faculty position at the interface between machine learning and physics. Applicants will be considered at all ranks. We anticipate hiring faculty working on advancing machine learning methodology as applied to quantum science, astrophysics, physics of living systems, nonlinear science, soft matter physics or other related areas. The faculty will be part of an initiative to catalyze machine-learning-driven research in the School of Physics and will benefit from substantial expertise and resources in artificial intelligence and machine learning that already exist in the Colleges of Sciences, Engineering, and Computing. Candidates are expected to demonstrate an exceptional commitment to the teaching and mentoring of students. Appointments at senior ranks will be considered for candidates with established and internationally recognized research programs.Postdoc Opportunities
AI-MI Postdoctoral Fellowship
The NSF Artificial Intelligence Materials Institute at Cornell University, Ithaca, New York, United States
Deadline: 2026-10-15 | Apply
Details
The Artificial Intelligence Materials Institute (AI-MI) invites applications for the AI-MI Postdoctoral Fellowship. Established in 2025, AI-MI is the first NSF National AI Research Institute focused on materials science. AI-MI's mission is to shift materials discovery from serendipitous to intentional design, reducing discovery timelines from months to days while building reproducible, open workflows for the broader materials and AI research communities. For the postdoctoral fellowship, we seek candidates with a PhD in theoretical or computational condensed-matter physics, applied math, computer science, or a related discipline by the appointment start date. The fellowship is a full-time 12-month appointment with the potential for renewal up to two additional years, based on satisfactory performance and available funding. The anticipated start date is spring/summer 2027. The fellowship will be located on the main campus of Cornell University in Ithaca, New York. The Fellow will receive a salary of $80,000 and be eligible for Cornell University benefits. Fellows also receive up to $5,000 per year in discretionary research funds and support to attend at least one conference annually.postdoctoral research associate
Lilley Research Group, Dept of Mechanical/Industrial Engineering, University of Illinois Chicago, Chicago, IL
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Details
A full-time postdoctoral research associate position is open in the Lilley Research Group led by Prof. Carmen Lilley in the Department of Mechanical and Industrial Engineering at the University of Illinois Chicago. The selected candidate will engage in innovative research applying artificial intelligence and machine learning with density functional theory, or other similarly relevant computational methods, to advance understanding of materials design predictions for 2D and 3D systems with electronic and/or quantum material systems. A PhD in chemical engineering, chemistry, material science, physics, engineering or related field is required, along with a proven track record of conducting and publishing research in AI/ML and first principles modeling. Strong preference will be given for candidates skilled in machine learning/data science that have materials engineering/science research skills.Postdoctoral Researcher in Mechanistic Understanding of AI Reasoning
Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
Deadline: 2026-09-30 | Apply
Details
We are seeking to recruit a postdoctoral researcher to work on understanding the mechanisms of AI reasoning. Their core duty will be to advance our understanding of how LLMs acquire, integrate and reason over evolving, pluralistic knowledge using mechanistic interpretability methods. This can involve the development of novel conceptual frameworks, methods, or empirical studies. The postdoc’s duties will also to a small degree include teaching or supervision. The position is offered in the context of the context of an ERC Starting Grant held by Isabelle Augenstein on ‘Explainable and Robust Automatic Fact Checking (ExplainYourself)’, as well the Pioneer Centre for AI.Paid Research Internship - 3D Computer Vision & Spatial Intelligence (Remote)
PerceptAI
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Details
At PerceptAI, we are building foundation models for Physical AI and Spatial Intelligence, with a focus on enabling robots to reconstruct and understand complex real-world environments. We are looking for student Research Interns to join our team remotely and work on state-of-the-art problems in 3D computer vision, VLMs, 3D reconstruction, Gaussian Splatting, SLAM, neural scene representations, multi-view geometry, and related areas.Who we’re looking for:
Undergraduate, Master’s, and PhD students currently studying in the United States
Hands-on experience in one or more areas: 3D computer vision, Vision-Language Models (VLM), scene reconstruction, Gaussian Splatting, SLAM, neural rendering, or closely related areas
Strong implementation skills in Python and modern ML/CV frameworks such as PyTorch; C++, COLMAP, OpenCV, or CUDA experience is a plus
Prior research experience: open-source work, prior internships, experience writing or contributing to research papers is a strong plus
PhD/MS positions in AI
Georgia Southern University, Statesboro, Georgia, US
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Details
I am looking for motivated PhD/MS students interested in machine learning and interdisciplinary AI research at Georgia Southern University, Georgia State, the United States, starting in Spring 2027. My research focuses on developing reliable, interpretable, and data-efficient machine learning methods and applying them to challenging problems across different disciplines. Students will have opportunities to collaborate with faculty from other disciplines and departments, working on interdisciplinary research problems and applying ML to real-world challenges.Current and future projects may involve machine learning, deep learning, trustworthy AI, multimodal learning, and interdisciplinary data analysis, with applications across a variety of domains.Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship
University of Toronto, Canada
Deadline: 2026-10-05 | Apply
Details
The University of Toronto is pleased to announce the third call for applications for the Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship, a program of Schmidt Sciences, which brings together the brightest minds who have completed a PhD in the natural sciences or engineering and who aim to pursue a research project that includes the application of artificial intelligence (AI) to their domain. The program will fund cutting edge applications of AI in the natural sciences and engineering and create a community of interdisciplinary leaders.Applicants must demonstrate clear expertise and promise within their field of study. Experience with AI is not a requirement, but applicants must have a desire to learn new AI methodologies that stand to accelerate discoveries in their domain. These Fellowships will fund research and provide training in AI and related computational skills to support new directions in the application of AI.
Other Academic Opportunities
AI Researcher and Interns (Internships only can be remote)
Shanghai Institute of Intelligent Science (SAIS), Xuhui District, Shanghai, China
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Details
AI Researcher - Large Model Inference and Internship - Large Model Reasoning Intern: The Scientific Reasoning and Discovery Team at the Shanghai Academy of AI for Science (SAIS) is looking for researchers excited to build Large Reasoning Models that can understand and solve hard scientific problems. We're building System 2 reasoning systems for science: models capable of multi-step logical deduction, cross-modal knowledge integration, and autonomous hypothesis generation and verification. You'll push LLMs past their current limits in scientific settings and help shape a new paradigm for how discovery is done.Senior Instructional Professor (open rank) in Data Science
Physical Sciences Division - Data Science, The University of Chicago, Chicago, IL, United States
Deadline: 2026-10-01 | Apply
Details
The Data Science Institute at the University of Chicago invites applications for the position of Senior Instructional Professor (open rank) to lead the Data Science Clinic. The Data Science Clinic is an experiential project-based course where students work in teams as data scientists with real-world clients from industry, academia, and social impact organizations. You can view more information about the DSI Clinic on our website here. The candidate will be appointed as Assistant Senior Instructional Professor, Associate Senior Instructional Professor, or Senior Instructional Professor, depending on qualifications and years of experience in a similar role. The appointment will be made in the Data Science Institute. The appointment will be for a term of up to five years, renewable. This is a career-track position with competitive salary and benefits. This position is expected to begin on or around December 1st, 2026.Lecturer Pool - Electrical Engineering and Computer Science
The University of California, Berkeley
Deadline: 2027-02-01 | Apply