Jobs in the ELLIS Network

PhD in Improving Generalization Through Advanced Learning Strategies

Achieving robust generalisation remains a central challenge in artificial intelligence, significantly impacting the practical deployment of machine learning models. Current approaches predominantly focus on finding flat minima in the loss landscape, yet the precise mechanisms enabling robust generalisation remain unclear. This project proposes to investigate an alternative formulation to this challenge: rather than merely pursuing flat minima, we investigate the mechanisms that differentiate generalisable features from those that lead to overfitting.

The project goal is to explore generalisation formulations via structured perturbation methods. Through deliberate perturbations, our methodology aims to distinguish between generalisable and non-generalisable features, effectively promoting robust performance by enabling models to escape the pitfalls of spurious correlations and noisy data.This project will establish a new generation of optimisation algorithms based on structured forgetting applicable not only to neural networks but to all g... More

AI for Scientific Discovery in Physics

The University of Tübingen builds artificial intelligence systems for discovering new concepts, experiments and ideas in physics, offering several fully-funded open Post-Doc positions.

A list of concrete potential projects:Development of modern auto-differentiation (JAX-based) physics simulators for the discovery of new physics experiments (example here)Developing and testing state-of-the-art AI-driven exploration, optimization, and search algorithms in extremely complex and enormously large spaces motivated by physics and chemistryAgentic frameworks (e.g. LLMs with tool-use) for closed-loop idea generation for physics (example here)Other projects are certainly possible too... More

Post-Doc in Machine Learning and Natural Language Processing

There are open positions for PhD students and postdoctoral researchers in the scope of the ERC project DECOLLAGE ("Deep Cognition Learning for Language Generation").

Large-scale language models have led to impressive results in many NLP tasks, exhibiting transfer and few-shot learning capabilities. When interacting with such systems, users commonly find them capable of reasoning, planning, and explaining their decisions, often in convincing ways. However, despite the enormous advances in the last years, current deep learning models for NLP are still very limited in fundamental ways and many important ingredients are still missing to achieve a satisfactory... More

Two Faculty positions AI in Biology, EMBL Heidelberg

EMBL is inviting applications for two faculty positions at the AI Hub Heidelberg as part of EMBL AI, a major institutional initiative to embed AI across all areas of life sciences. EMBL typically appoints group and team leaders early in their career, providing a unique opportunity to support young talented and curious individuals in establishing their first independent laboratory or service team.

These positions are suitable for anyone with a strong ML/AI track record who is interested in pursuing new opportunities to apply AI to any field of biology. EMBL is a vibrant scientific hub of creativity and innovation. While the positions are based in Heidelberg, the post holders will have the opportunity to collaborate with colleagues at all six EMBL sites.Group Leader - AI in Biology https://embl.wd103.myworkdayjobs.com/en-US/EMBL/job/Heidelberg/Group-Leader---AI-in-Biology_JR2234Team Lea... More

Research Software Engineer at the Centre for Credible AI at Warsaw University of Technology

They invite applications to join our interdisciplinary team advancing reliable and explainable AI in the newly formed Centre for Credible AI at Warsaw University of Technology.

Responsibilities: Supporting research projects conducted at the center.Development and maintenance of software libraries.Implementing good practices for reliable software development.Required Skills: Fluency in at least one programming language (Python, R, C++) and libraries for AI solutions (e.g. torch, pytorch, jax).Expertise in software engineering (design, documentation, testing).MLOps: DVC/MLflow, artifacts, reproducibility.Example Tasks: Development of a new method for analyzing models.... More

Researcher at the Centre for Credible AI at Warsaw University of Technology

They invite applications to join our interdisciplinary team advancing reliable and explainable AI in the newly formed Centre for Credible AI at Warsaw University of Technology.

Responsibilities: Conducting top-quality research.Participation in supervision of BSc/MSc students.Active participation in lab meetings, scientific seminars and conferences.Required Skills: Publishing manuscripts at top venues.Strong motivation to work on important research problems, creativity and analytical thinking.Ability to work both independently and as a part of a team.Example Tasks: Critical review of a scientific paper with identification of strengths and weaknesses.Development of a ... More

Senior Researcher at the Centre for Credible AI at Warsaw University of Technology

They invite applications to join our interdisciplinary team advancing reliable and explainable AI in the newly formed Centre for Credible AI at Warsaw University of Technology.

Strategic Responsibilities: Proactively identifying new research directions.Shape internal strategy and external partnerships.Mentor, develop career paths, set hiring standards.Represent the team with industrial and academic partners.Signature Impact: Spin up flagship open‑source/tooling initiatives.Interface with funding bodies and standards groups.Institutionalize model validation, exploration and alignment.Example Initiatives: Initiation of a multifaceted, multi-team analysis of AI models.... More

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

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

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

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