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
Tenure-Track Hiring in Khoury College
Northeastern University, Boston, Massachusetts
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Details
The Khoury College of Computer Sciences at Northeastern University has openings for multiple faculty positions at all ranks (Assistant Professor, Associate Professor, Full Professor), beginning academic year 2025-26 or 2026-27. The tenure home for these positions will reside in the Khoury College of Computer Sciences, with a potential joint appointment in another Northeastern College, to be determined in consultation with successful candidates. Academic rank at the Associate Professor and Full Professor levels will be commensurate with experience and qualifications reflecting a record of demonstrated teaching and scholarly excellence.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
Research Scientist 1
Kavli Institute for Astrophysics and Space Research at MIT, Cambridge, Massachusetts
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Details
RESEARCH SCIENTIST 1, Kavli Institute for Astrophysics and Space Research, to cover research for Cosmic Explorer, the concept for a next-generation gravitational-wave detector, particularly the development of computational approaches to study critical aspects of the Cosmic Explorer design, like stray-light mitigation; aid the Cosmic Explorer Project Scientist and Project Engineer in the integration of these and other studies of CE design aspects into the overall observatory design; develop computational approaches (numerical/analytical models) to advance the Cosmic Explorer design, with a focus on stray-light modeling and mitigation techniques in Cosmic Explorer; document the findings to support the conceptual design of Cosmic Explorer, and work with the Project Scientist and Project Engineer in the integration of these and other findings into the overall Cosmic Explorer observatory design; interact with a large group of scientists and engineers working on the Cosmic Explorer design across several institutions and may require the preparation of research narratives for grant proposals and occasional short stay visits to the other institutions working on stray-light mitigation for Cosmic Explorer, including Bard College and Caltech.Feel free to contact Lisa Barsotti with any questions: lisabar@mit.edu
Academic Opportunities
Faculty Opportunities
Tenure-Track Position in Artificial Intelligence & Software Engineering
University of Alberta, Edmonton, Canada
Deadline: 2024-12-20 | Apply
Details
The Department of Computing Science at the University of Alberta invites applications for a tenure-track position (Assistant or, in exceptional cases, Associate Professor level), starting as early as July 1st, 2025 in the area of Artificial Intelligence (AI) & Software Engineering (SE). Other areas of expertise in AI with a focus on Software systems (e.g. in compilers or networks) may be considered.Tenure-Track Position in Artificial Intelligence/Machine Learning/Deep Learning Theory
University of Alberta, Edmonton, Canada
Deadline: 2024-12-20 | Apply
Details
The Department of Computing Science at the University of Alberta invites applications for a tenure-track position (Assistant or, in exceptional cases, Associate Professor level), starting as early as July 1st, 2025 in the area of Artificial Intelligence/Machine Learning (ML)/Deep Learning (DL) Theory. Additional strength in general CS Theory (e.g., Data Structures & Algorithm; Streaming, Sketching, and Big Data Algorithms; Computational Complexity; Discrete Optimization; etc.) will be an asset. Other areas of expertise in AI, ML, and DL may be considered.Assistant Professor of Computer Science, Applied Machine Learning/AI
Dartmouth College, Hanover, New Hampshire
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Details
The Department of Computer Science invites applications for a full-time tenure-track position at the rank of Assistant Professor in the broad area of Applied Machine Learning/AI. Core technical contributions could come from multiple areas, including but not limited to: computational health, visual computing, music technology, cybersecurity, neuroscience, Human-Computer Interaction (HCI), Computational Linguistics, and digital arts. Applicants should have a track record of publications in CS/machine learning-related fields.Open Rank Faculty in Machine Learning
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, United Arab Emirates
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Details
The Department of Machine Learning at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) has faculty openings at all ranks (full/associate/assistant professors). Qualified candidates are invited to apply. Applicants are expected to conduct outstanding research and be committed to teaching. Successful applicants will be provided an attractive remuneration package and allocated generous research funding for each year. Long-term research on big problems is particularly encouraged.Tenure-track Faculty positions in Data Science - Machine Learning 2025-2026
IE University - School of Science and Technology, Madrid and Segovia, Spain
Deadline: 2024-12-15 | Apply
Details
IE University´s School of Science and Technology invites applications for a full-time faculty position in Data Science with a specialization in Applied Machine Learning. We look for candidates with deep expertise in at least one of the following: natural language processing, computer vision, reinforcement learning, generative AI, graph learning, and time series modeling. In addition to technical expertise in the core technologies, the Committee will value positively the candidate’s interest in ethical aspects of machine learning, the explainability of AI systems, and the development of privacy-preserving techniques such as federated learning. This role will require the candidate to combine cutting-edge machine learning methods with practical, impactful applications across multiple industries.We value candidates with the capacity to collaborate in applied research projects led by the Impact Xcelerator at IE School of Science and Technology, specifically in one of the three focus areas: Climate/Energy, Healthcare, or Financial Systems. The ability to contribute to multidisciplinary research initiatives that apply cutting-edge technologies to real-world challenges in these sectors will be key to the role’s success, providing opportunities to work closely with industry partners and stakeholders to drive innovative solutions.
Open Rank - Assistant Professor, Associate Professor, Professor
University of Maryland, College Park, MD
Deadline: 2024-12-15 | Apply
Details
The Department of Computer Science is seeking exceptional candidates in all areas of computer science, including but not limited to Artificial Intelligence, Computational Biology and Health, Computer Graphics and AR/VR, Computer Systems, Computer Vision, Cybersecurity, Data Sciences, Databases, Human-Computer Interaction, Programming Languages, Quantum Computing, Software Engineering, Theoretical Computer Science, etc. Applicants working at the boundary of computer science and related disciplines, including Computational Linguistics and Natural Language Processing, Reinforcement Learning, Robotics and Scientific Computing are also encouraged to apply, and may be considered for joint positions with other departments or institutes on campus. A candidate should indicate in their cover letter if they might be interested in such a joint appointment.Assistant Teaching Professor, Data Science and Analytics Program
Georgetown University, Washington, D.C.
Deadline: 2025-01-08 | Apply
Details
The Georgetown University Graduate Data Science and Analytics Program invites applicants for a full-time, non-tenure line position as an Assistant Teaching Professor.The successful candidate will teach three graduate-level courses per semester (Fall and Spring) and will participate in administrative tasks, such as admissions and advising.
This is a non-tenured teaching position, where the core focus will be on course development (traditional and online), teaching, student support, and administrative tasks such as student support, admissions, and committee participation. The teaching component (85-90%) includes 6 class sections (30 – 40 students each) per year with summers as a potential option. The administrative component varies with need and ranges from 10 – 15%.
Professor of Physics
University of Wisconsin-Madison, Madison, WI
Deadline: 2024-12-31 | Apply
Details
The Department of Physics at the University of Wisconsin-Madison invites applications for an Assistant Professor, Associate Professor, or Full Professor (tenure track) position in the area of artificial intelligence (AI) and machine learning (ML) applied to experimental physics. We encourage applicants who are conducting relevant AI/ML research for enabling new discoveries in fundamental physics using large data sets, innovative computational technologies, and software methodologies.Tenure-track AI Opening
University of Rochester, Rochester, NY
Deadline: 2025-01-01 | Apply
Details
The University of Rochester’s Department of Computer Science seeks to hire an outstanding early-career candidate in the area of Artificial Intelligence.Specifically, we are looking to hire a tenure-track Assistant Professor in any of the following areas:
1. Learning Theory, especially related to deep learning,
2. Machine Learning Systems (ML Ops, memory efficient training techniques, distributed model training methods with GPUs/accelerators, etc.), or
3. Deep reinforcement learning.
Tenure-track or Tenured Professor in Computer Science and Kempner Institute Investigator
Harvard John A. Paulson School of Engineering and Applied Sciences
Deadline: 2023-12-15 | Apply
Details
The Computer Science area of the John A. Paulson School of Engineering and Applied Sciences (SEAS) and the Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University are seeking applicants for a tenure-track or tenured position specializing in Machine Learning and Artificial Intelligence, with an expected start date of July 1, 2024. We are particularly interested in candidates with strong foundations in deep learning, generative AI, foundational models, and LLMs, with interest to apply these technologies to one or more domains including computational biology and the sciences, NLP, and computer vision. The successful candidate will be expected to lead an innovative research program that advances our understanding of and increases innovation in AI and ML, encompassing the development of new methodologies and models.Postdoc Opportunities
Postdoctoral Research Associate in AI & Theoretical Physics or Applied Maths
University of Cambridge
Deadline: 2025-01-05 | Apply
Details
Applications are invited for multiple positions at both Research Associate and Senior Research Associate level as Mathematical-AI-Researchers (postdoctoral positions) in the Department of Applied Mathematics and Theoretical Physics as part of the new Infosys-Cambridge AI Lab to work at the interface of science and machine learning. The AI Lab has been created to facilitate reserch in the following themes: agentic AI (multi-agent systems, RL), theoretical machine learning, symbolic AI, and simulation-based approaches. The goal of the AI Lab is to drive scientific discoveries through automation, and to build a mathematical understanding of machine learning using methods from theoretical physics that have wide application beyond science. To facilitate these advances, we seek a talented, promising, and diverse group of researchers with a completed (or near completed) PhD in physics, machine learning or applied mathematics or related fields. Your role as Mathematical-AI-Researcher is to develop and conduct individual and collaborative research within one or more of the themes listed above and to identify and pursue synergies in an interdisciplinary context. You must be able to communicate material of a technical nature beyond your immediate scientific field (e.g. to policymakers or industry leaders) and to enable discussion of real-world applications.Postdoctoral Fellowships in the Physics of Learning
The Department of Physics and Astronomy at Johns Hopkins University, Baltimore, Maryland
Deadline: 2025-01-06 | Apply
Details
The department of Physics and Astronomy at Johns Hopkins University invites applications for (i) multiple independent postdoctoral fellowships and (ii) PhD students to work on the theoretical foundations of (Machine) Learning. Outstanding candidates will be selected to join the Physics of Learning research group led by profs Brice Ménard and Matthieu Wyart. This group will significantly expand in the next couple of years, with the addition of several new faculty members and their respective associates.Research on the theoretical foundations of Learning is highly synergistic. Our members interact with colleagues in the departments of cognitive & neuroscience, computer science and applied mathematics and statistics. This research program also benefits from Johns Hopkins’ major AI initiative, with the addition of new AI faculty across multiple departments and the creation of a new Data Science and AI Institute.
CosmicAI Postdoctoral Fellow
CosmicAI at the University of Texas, Austin, Texas
Deadline: 2024-12-15 | Apply
Details
The newly established NSF-Simons CosmicAI Institute seeks to hire an outstanding Postdoctoral Fellow specializing in AI with a focus on Explainable and Interpretable AI (XAI) methods. The Fellow will play a key role in advancing research efforts aimed at creating innovative AI techniques, with a particular focus on causal inference with AI and symbolic modeling tailored for complex data analysis in astronomy. The Fellow, based at the University of Texas at Austin, will work closely with Dr. Arya Farahi and Dr. Alessandro Rinaldo at the Department of Statistics and Data Sciences and will collaborate with researchers across the Institute to facilitate the development of cutting-edge AI tools and methodologies. While collaboration with natural scientists (such as astronomers and physicists) is encouraged, a background in these fields is not required. We are seeking candidates with expertise in AI methodologies such as causal inference or symbolic modeling and an interest in interdisciplinary collaboration. The Fellow will have access to cutting-edge computational resources, including Vista, a 600-GPU node cluster at the Texas Advanced Computing Center (TACC).Humboldt Postdoctoral Fellowships with the Collaborative Artificial Intelligence (CAI) group
The University of Stuttgart, Stuttgart, Germany
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Details
The CAI group (https://collaborative-ai.org/) conducts fundamental research towards collaborative artificial intelligence at the intersection of multimodal machine learning, computational cognitive modelling, computer vision, and human-machine interaction. We have a strong presence in leading conferences in these research fields and, as such, are among the few truly interdisciplinary groups in Germany and Europe. We are highly visible internationally, and publications from the group are frequently distinguished with best paper awards. So far, out of 14 PhD and PostDoc alumni, seven have assumed faculty positions at leading institutions worldwide, several others have jointed industrial research labs. Close links exist to the International Max Planck Research School for Intelligent Systems (IMPRS-IS) and the local Max Planck Institute, the ELLIS Unit Stuttgart, the Centre for Bionic Intelligence Tübingen Stuttgart (BITS), as well as several large-scale research projects within the University of Stuttgart.Postdoctoral Fellowships in Deep Learning
NYU Shanghai, Shanghai, China
Deadline: 2025-1-31 | Apply
Details
NYU Leonard Stern School of Business and NYU Shanghai are excited to announce an open call for Postdoctoral Fellowship applications. The position may start in Spring or Fall 2025 and will be under the supervision of Profs. Bruno Abrahao (NYU Shanghai) and João Sedoc (NYU Stern).Postdoctoral Positions
Chilean National Center for Artificial Intelligence (CENIA), Santiago, Chile
Deadline: 2024-12-16 | Apply
Details
As part of its development plan, the Chilean National Center for Artificial Intelligence (cenia.cl/en) invites interested individuals to apply for 3 Postdoc positions in AI and related areas. Candidates must hold a PhD in AI or related fields, such as cognitive robotics, neuroscience, cognitive science, mathematics, or related scientific areas.Post-doctoral assistant department Data Analysis and Mathematical Modelling
Ghent University, Ghent, Belgium
Deadline: 2024-11-19 | Apply
Details
At least 70% of your assignment will be spent on academic research in the field of machine learning. The BioML research group of the Department of Data Analysis and Mathematical Modelling focusses on the development of machine learning methods for the life sciences. Specific research areas of interest are multi-target prediction, sequence learning, time series analysis, uncertainty quantification and probabilistic models. In terms of applications the focus is on analyzing “omics” data (genomics, transcriptomics, proteomics, etc.).Other Academic Opportunities
PhD in the Physics of Learning
The Department of Physics and Astronomy at Johns Hopkins University, Baltimore, Maryland
Deadline: 2024-12-15 | Apply
Details
The department of Physics and Astronomy at Johns Hopkins University invites applications for (i) multiple independent postdoctoral fellowships and (ii) PhD students to work on the theoretical foundations of (Machine) Learning. Outstanding candidates will be selected to join the Physics of Learning research group led by profs Brice Ménard and Matthieu Wyart. This group will significantly expand in the next couple of years, with the addition of several new faculty members and their respective associates.Research on the theoretical foundations of Learning is highly synergistic. Our members interact with colleagues in the departments of cognitive & neuroscience, computer science and applied mathematics and statistics. This research program also benefits from Johns Hopkins’ major AI initiative, with the addition of new AI faculty across multiple departments and the creation of a new Data Science and AI Institute.
Research Scientist
The University of Chicago, Chicago, Illinois
Deadline: 2024-12-22 | Apply
Details
AI for Climate (AICE), a program of the Institute for Climate and Sustainable Growth and the Data Science Institute, aims to accelerate and transform climate research with a focus on both scientific advances and societal impacts. AICE and Climate Extremes Theory and Data (CeTD) group invite applications for the position of Research Scientist to work with Prof. Pedram Hassanzadeh on advancing AI weather forecasting across scales, from short- and medium-range to subseasonal-to-seasonal (S2S) predictions. The researcher will closely collaborate with a growing multidisciplinary team, including Profs. Michael Kremer (Economics) and Amir Jina (Public Policy), focused on human-centered weather forecasts, and in conjunction with the international efforts at the Development Innovation Lab (DIL). The appointment will be for up to three years, with the possibility of extending it by one more year if necessary to complete the project. The expected start date is between January 1st and April 1st, 2025.Young Investigator Group Leader - Reliable Graph Machine Learning
TU Dortmund University, Dortmund, Germany
Deadline: 2024-12-20 | Apply
Details
The Research Center Trustworthy Data Science and Security (https://rc-trust.ai/) is seeking to fill this position at the TU Dortmund University as soon as possible. You can create your own independent research group; funding for 5 years includes your own position plus one additional PhD position funded by our research center.Industry Opportunities
Postdoctoral Researcher in Physics-Informed ML and GNN for Industrial Time Series Data
EPFL, Lausanne, Switzerland
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