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 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

Two Full Professorships in Computer Science in the fields of “Responsible AI” and “Social Computing”

The University of Kaiserslautern-Landau (RPTU), Germany
Deadline: 2025-05-25 | Apply

Details ​The Department of Computer Science at RPTU at campus Kaiserslautern (until 2022 TU Kaiserslautern) combines fundamental research and education with excellence in application and regularly achieves top positions in relevant rankings. There are many opportunities for cooperation with affiliated research institutes such as the Max Planck Institute for Software Systems (MPI-SWS), German Research Center for Artificial Intelligence (DFKI), the Fraunhofer Institute for Experimental Software Engineering (IESE), and the Fraunhofer Institute for Industrial Mathematics (ITWM).

Professorships in the field of Algorithms and Methods in Data Science

The Technical University of Munich (TUM), Germany
Deadline: 2025-05-25 | Apply

Details ​The Technical University of Munich (TUM) is setting up an innovative Heilbronn Data Science Center (HDSC) at the TUM Campus Heilbronn. Up to three professorships in the field of Algorithms and Methods in Data Science, endowed by the Dieter Schwarz Foundation, are to be established. The positions are W2 fixed-term positions (6 years) with tenure track option to tenured W3 positions (Associate Professor) or tenured W3 (Associate or Full) positions, to begin as soon as possible.

Four tenure-track professorships in AI

JKU Linz, Austria
Deadline: 2025-05-28 | Apply

Details ​This is a call for four tenure-track professorships at Johannes Kepler University Linz on the topics:

(1) Knowledge and Data Processing (hosted at the Institute for Application Oriented Knowledge Processing; contact Prof. Johannes Fürnkranz)
(2) Natural Language Processing and Interaction (hosted at the Institute for Computational Perception; contact Prof. Markus Schedl)
(3) Neuro-Symbolic Artificial Intelligence (hosted at the Institute for Symbolic Artificial Intelligence; contact Prof. Martina Seidl)
(4) Reinforcement Learning (hosted at the Institute for Machine Learning; contact Prof. Günter Klambauer)

Lecturer/Senior Lecturer in Artificial Intelligence and Machine Learning

University of Bath, England
Deadline: 2025-05-26 | Apply

Details ​The Department of Computer Science wishes to appoint up to seven academics in Artificial Intelligence and Machine Learning to strengthen our rapidly growing AI & Machine Learning Research Group. We are a highly collaborative team, working not only with other researchers in our department but across the university and beyond. The Department of Computer Science hosts the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent Artificial Intelligence (ART-AI), which brings together AI challenges across science, engineering, humanities and social sciences. Also hosted by the Department of Computer Science is the Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA), offering a range of exciting opportunities for AI research around virtual production, motion capture and volumetric capture. In addition to university and external HPC resources, the department has its own cloud service with over 80 GPUs.

Tenure Track Assistant Professor in Artificial Intelligence

University of Groningen, Netherlands
Deadline: 2025-05-22 | Apply

Details ​The position we offer will be embedded in the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence. The Bernoulli Institute has expertise in Cognitive Engineering, Visualisation, Cognitive Modeling, Multi-agent Systems and Machine Learning. These provide the local context for the position. In addition, there are strong collaborations with the UMCG. Furthermore, the Bernoulli Institute participates in the Jantina Tammes School for Digital Society, Technology and Artificial Intelligence, and the Groningen Cognitive Systems and Materials Center (CogniGron).

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 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

Postdoctoral Research Associate

Cardiff University School of Computer Science & Informatics, UK
Deadline: 2025-06-04 | Apply

Details ​Applications are invited for a Postdoctoral Research Associate post in the Cardiff University School of Computer Science & Informatics, to work on the InteGraL project (“Interpretable Graph-Based Machine Learning”). This Leverhulme Trust funded project is focused on developing alternatives to Graph Neural Networks (GNNs). Its central aim will be to introduce methods that are interpretable by design, while at the same time being more robust than GNNs and generalising better to problem instances that are out of the training set distribution. The models will be applied to problems in Natural Language Processing and Computational Chemistry, among others.

Post-doctoral fellow on Robotics, Multiagent Systems, and Reinforcement Learning

TU Darmstadt, Germany
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Details ​CONTACT: Prof. Peter Stone
The University of Texas at Austin
2317 Speedway, Stop D9500
Austin, TX 78712 USA
pstone@cs.utexas.edu
www.cs.utexas.edu/~pstone

Applications are invited for a postdoctoral fellow of one year, possibly renewable for additional years, in the Department of Computer Science in the Learning Agents Research Group headed by Prof. Peter Stone.

Primary responsibilities include performing cutting-edge research in collaboration with faculty, Ph.D. students, and other researchers.

The research will focus on developing and testing novel algorithms for in connection with a range of projects related to robotics and multiagent reinforcement learning. Motivating use cases include long-term autonomous service robots, robot soccer, and social navigation.

QUALIFICATIONS: Applicants should have a Ph.D. in Computer Science or related field. Experience with machine learning and intelligent robotics is essential. Experience in deep reinforcement learning, multiagentm systems, and/or ROS is desired.

TO APPLY: Applicants should send by email to pstone@cs.utexas.edu
- a curriculum vitae
- names of two references with contact information
- a two-page summary of past research and relevant qualifications
- a personal Web page, if available, where further details can be found

This position is to start as early as June of 2025 or at any agreed upon later date. Applications will be reviewed as they are received.

Postdoctoral Research Fellow in AI/ML

TU Darmstadt, Germany
Deadline: 2025-05-25 | Apply

Details ​We have a postdoctoral opening in AI/ML with a focus on Natural Language Processing at the UKP Lab led by Iryna Gurevych, Technical University of Darmstadt. The initial contract is for 2 years with an option for an extension.

Ideal candidates have a PhD in Natural Language Processing, Machine Learning, computer science or a related discipline, are highly motivated and demonstrate a convincing track-record in research. They must be fluent in English.

Application deadline: May 25th, 2025. After that, the position will remain open until filled. We will consider applications as soon as they are submitted.

DUTIES

1. Developing your own research program embedded into the research agenda of the UKP Lab, including publications in top AI/ML/NLP venues. Specifically, we are looking to strengthen the following areas:

- Foundations of Large Language Models
- AI Safety
- LLM security and privacy
- Human-AI Collaboration
- AI for Science
It is possible to propose a topic bottom-up [1].

2. Academic service, e.g., co-advising Master and PhD students, co-teaching NLP courses.

ECOSYSTEM

UKP lab is part of ELLIS (ELLIS NLP with Iryna Gurevych as its co-director and the ELLIS unit in Darmstadt, the Konrad Zuse School of Excellence in Learning and Intelligent Systems (ELIZA), and the Hessian.AI (https://hessian.ai), where the faculty from the main Hessian universities collaborate on advancing machine learning, including NLP. ELLIS, ELIZA and Hessian.AI provide a rich environment for networking with academic and industrial research labs.

TEAM

UKP Lab is a leading European research lab in AI/ML with a focus on NLP covering a wide range of modern research topics. The team of about 40 full-time researchers is highly international and interdisciplinary. Iryna Gurevych is Adjunct Professor with the NLP Department at MBZUAI in Abu Dhabi, UAE and is Affiliated Professor at INSAIT in Sofia, Bulgaria. This provides outstanding opportunities for international collaborations with top researchers from different disciplines including AI, ML and NLP.

BENEFITS

UKP Lab is committed to cutting-edge research, publishing in top-tier venues, cooperative work style and close interaction of all team members. The selected candidates enjoy diverse opportunities for professional growth, leading both to successful faculty careers and exciting industrial research opportunities.

LOCATION

The position assumes that you can move to Darmstadt or a nearby German location. Darmstadt is very close to the Frankfurt airport and provides an excellent living environment for incoming staff members.

APPLICATION

Please submit your application via the following form: https://careers.ukp.informatik.tu-darmstadt.de/ukprecruitment

[1] https://www.informatik.tu-darmstadt.de/ukp/research_ukp/ukp_research_publications/index.en.jsp

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.

Other Academic Opportunities

AI Summer Teaching Fellowship

Inspirit AI, Multiple Locations
Apply

Details ​Inspirit AI is a K12 AI enrichment program attended by students from 2500+ leading schools worldwide. The program is hiring mentors with CS experience to join our teaching team for online and in-person programs in Spain, China, and other locations.

Industry Opportunities

AI Researcher

FirstPrinciples, Remote
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Details ​FirstPrinciples is a non-profit foundation advancing scientific discovery by developing an AI Physicist - an intelligent system designed to explore and uncover the fundamental laws of nature. Our goal is to build a new kind of research platform that goes beyond analyzing information: one that can ask deep scientific questions, reason across disciplines, and accelerate the generation of new ideas. By combining AI, symbolic reasoning, and autonomous research capabilities, we aim to transform how knowledge is discovered and help push science toward its next breakthroughs.

We are looking for an AI Researcher to investigate, design, test and develop state of the art (SOTA) methods and applications, which can be integrated into the broader AI engine FirstPrinciples is developing. You will collaborate with cross-functional teams and your work will flow straight into production, helping advance the way scientific research is performed. Your work will impact the wider academic community through the development of unique solutions to usher in a new era of scientific discovery. The ideal candidate has a proven track record in AI research, who can combine strategic thinking with technical depth to bring complex ideas to life.

Principal Data Engineer- Data as a Service

Visa, Foster City, CA
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Details ​The Data and Artificial Intelligence Platform (DAP) is a critical component of Visa's Technology organization, providing the essential technology and processes to manage Visa's extensive data and AI assets and deliver valuable intelligence, products, and services to customers. Within DAP, the Data as a Service (DaaS) team consists of skilled data engineers focused on building data pipelines to meet Visa's data needs and delivers secure, high-quality, and easy-to-use Visa core data assets.

We are seeking a Principal Data Engineer who will play a crucial role in developing next-generation enterprise-level data pipelines for Real Time and Batch Data ingestion and processing, incorporating Agentic AI to support Visa's 2030 strategy. This individual should be a versatile, curious, and energetic technology leader with expertise and experience in architecting, designing and delivering enterprise level Big Data solutions and services. In this role, you will collaborate with business partners, project managers, data engineers, and operations across the company to tackle complex, high-impact data-related initiatives on a global scale. You will be responsible for executing a data strategy that leverages our data assets to drive innovation through data engineering and GenAI framework. You will also guide and mentor junior engineers, ensuring security, scalability, performance, and reliability in all data solutions. As an individual contributor based in Foster City, California, USA you will be reporting to Sr. Director of Data as a Service (DaaS) team. This team is growing fast! Join us and be an integral part of the group that is at the leading edge of pioneering Data and AI.

Research Scientist – Generative AI

Nokia Bell Labs, Murray Hill, New Jersey
Deadline: 2025-06-13 | Apply

Details Your focus will be on Generative AI, Large Language Models (LLMs), multi-modal AI, AI reasoning, and AI applications in robotics within a dynamic industrial research environment. This role offers the opportunity to develop and prototype innovative systems, showcase your research breakthroughs, and publish your findings in leading conferences and journals.