Jobs in the ELLIS Network

PhD fellowship in Explainable Natural Language Understanding

A fully funded 3-year PhD fellowship on explainable natural language understanding for a start in Spring 2026 is available in the Natural Language Understanding group at the Department of Computer Science, University of Copenhagen as part of the ExplainYourself project on Explainable and Robust Automatic Fact Checking. The position requires a Master’s degree. The successful candidate will be supervised by Isabelle Augenstein and co-supervised by Pepa Atanasova. More

Postdoctoral Researcher for Data Science/AI at Hasso-Plattner Institute

The Data & AI Cluster at the Hasso Plattner Institute is currently seeking to fill two postdoctoral research positions and is inviting applications from excellent candidates. This is an exceptional opportunity for a highly motivated and talented individual to conduct cutting-edge research.

The successful candidates are expected to set their own research agenda in the context of the following areas: (1) Scalable, Data-Efficient/Energy-Efficient Learning and/or Optimization Algorithms(2) Physics-Based AI and Machine Learning Algorithms(3) Interpretable and Explainable AI(4) Machine Learning Theory(5) AI for Science(6) AI for Social Good(7) Complex Data Analysis and Intelligence(8) Database Systems and Architectures(9) Data Quality and Preparation (10) Data Integration and Managem... More

Doctoral and Postdoctoral Positions in Applied and Numerical Analysis

The Chair of Applied and Numerical Analysis at the Technical University of Munich (TUM), led by Prof. Massimo Fornasier, is seeking outstanding candidates to join the newly established research team for the ERC Advanced Grant project “Nonlinear Evolutions and Iterative Algorithms: Optimization and Control.”

The focus of the project is the analysis of iterative algorithms arising from time discretizations of nonlinearevolutions of various kinds and consider their training as appropriate mean-field control problems. Aspecial focus is given to the global optimization of nonconvex problems.We invite applications for Doctoral Researchers (Ph.D. Candidates) and/or Postdoctoral Researchers.These full-time positions (100%) are initially offered for two years, with the possibility of extension up to amax... More

Postdoc in Machine Learning (basic research)

A postdoc position in Machine Learning is available immediately at the Institute of Science and Technology Austria (ISTA) in the group of Christoph Lampert.

Possible topics include, but are not limited to,trustworthy machine learning (e.g. privacy, fairness,robustness, federated learning, LLM security, ...),transfer/continual/meta learning (also multi-task learning, domain adaptation, lifelong learning, ...),Applicants should hold a PhD in machine learning or a related area of modern data analysis with a strong background in mathematics, programming and analytic reasoning. A strong research record is required, documented by publications at first-... More

University Professor of Data-Driven Material Research

The successful applicant will cover research and teaching in the field of data-driven material research with a reduced teaching load of two weekly credit hours at Freie Universität Berlin.

The professorship includes the opportunity of establishing and leading a newly founded Institute for Data-Driven Material Research (working title) as well as the central responsibility of chief information/data officer (CIO/CDO) at the Helmholtz-Zentrum Berlin (HZB). The successful applicant will also represent the research field “Information” as a member of the extended Board of Directors at the HZB.Apply by Sept 4th. More

Research Scientist at Prior Labs, Freiburg or Berlin

Prior Labs is a VC-backed deep tech startup that grew out of the ELLIS ecosystem, with Frank Hutter and Bernhard Schölkopf among the co-founders. We're building breakthrough foundation models that understand spreadsheets and databases—the backbone of science and business. Foundation models have transformed text and images, but structured data has remained largely untouched. We’re tackling this $100B+ opportunity to revolutionize how we approach scientific discovery, medical research, financial modeling, and business intelligence.

Our Impact: We aim to be the world-leading organization working on structured data. Our TabPFN v2 model, recently published in Nature, sets the new state-of-the-art for small structured data. Our models have gained significant traction with 1M+ downloads and 3,500+ GitHub stars. We are now building the next generation of models that combine AI advancements with specialized architectures for structured data.Backing and Momentum: With €9M in pre-seed funding from top-tier investors including Ba... More

Research Scientist Intern at Prior Labs

Prior Labs is a VC-backed deep tech startup that grew out of the ELLIS ecosystem, with Frank Hutter and Bernhard Schölkopf among the co-founders. We're building breakthrough foundation models that understand spreadsheets and databases—the backbone of science and business. Foundation models have transformed text and images, but structured data has remained largely untouched. We’re tackling this $100B+ opportunity to revolutionize how we approach scientific discovery, medical research, financial modeling, and business intelligence.

Our Impact: We aim to be the world-leading organization working on structured data. Our TabPFN v2 model, recently published in Nature, sets the new state-of-the-art for small structured data. Our models have gained significant traction with 1M+ downloads and 3,500+ GitHub stars. We are now building the next generation of models that combine AI advancements with specialized architectures for structured data.Backing and Momentum: With €9M in pre-seed funding from top-tier investors including Ba... More

ML Engineer at Prior Labs

Prior Labs is a VC-backed deep tech startup that grew out of the ELLIS ecosystem, with Frank Hutter and Bernhard Schölkopf among the co-founders. We're building breakthrough foundation models that understand spreadsheets and databases—the backbone of science and business. Foundation models have transformed text and images, but structured data has remained largely untouched. We’re tackling this $100B+ opportunity to revolutionize how we approach scientific discovery, medical research, financial modeling, and business intelligence.

Our Impact: We aim to be the world-leading organization working on structured data. Our TabPFN v2 model, recently published in Nature, sets the new state-of-the-art for small structured data. Our models have gained significant traction with 1M+ downloads and 3,500+ GitHub stars. We are now building the next generation of models that combine AI advancements with specialized architectures for structured data.Backing and Momentum: With €9M in pre-seed funding from top-tier investors including Ba... More

Predoctoral Position Offer in Computer Vision, Robotics, and 3D Reconstruction at University of Córdoba

The University of Córdoba (UCO) seeks highly motivated candidates for a predoctoral position in the area of computer vision, robotics, 3D reconstruction, and SLAM (Simultaneous Localization and Mapping). The selected candidate will join an interdisciplinary research team with the aim of developing new methodologies and applications in these fields.

Requirements-Possess a master's degree that qualifies for doctoral studies.-Have the legal capacity to work in the European Union.-Previous experience or knowledge in computer vision, robotics, 3D reconstruction, and SLAM.-Experience with OpenCV and other libraries related to computer vision is valued.-Knowledge of programming in C++.-Analytical and problem-solving skills.-Medium-high level of English, both spoken and written.We Offer-3-year predoctoral contract (extendable to 4).-Participati... More

Fully-funded Humboldt Postdoctoral Fellowships at the University of Stuttgart

The Collaborative Artificial Intelligence (CAI) group at the University of Stuttgart in Germany, headed by Prof. Andreas Bulling, is inviting applications for three prestigious Humboldt Postdoctoral Fellowships. The CAI group (https://collaborative-ai.org/) conducts fundamental research towards collaborative artificial intelligence at the intersection of multimodal machine learning, multi-agent reinforcement learning, computational cognitive modelling, computer vision, and human-machine interaction.

We are seeking outstanding candidates with an exceptional research track record and strong publications at the top venues in the above fields. Successful candidates will be able to pursue their own research program, will contribute to the preparation and leadership of research projects, will have the opportunity to advise undergraduate and graduate students, and contribute to the teaching activities of the group. They will have access to excellent research infrastructure, distinguished lectur... More