Jobs in the ELLIS Network
Discover job opportunities in modern AI research related to ELLIS Sites & Fellows. Find exclusive academic openings at the top institutions in Europe, with positions ranging from PhD to faculty level.
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A Postdoctoral Researcher and two Doctoral Researchers in AI and Foundation Models
The Department of Computing at University of Turku is seeking one Postdoctoral Researcher and two Doctoral Researchers to join Assistant Professor Shaoxiong Ji's research group, part of the ELLIS Institute Finland and TurkuNLP. The group focuses on advancing AI and Foundation Model research, with a strong emphasis on real-world applications.
Key research areas for these positions include:LLM Post-Training Techniques: Developing advanced methods for fine-tuning, reasoning, alignment, and knowledge injection to improve LLM performance and safety.Multilingualism in LLMs: Researching techniques to enhance LLM performance across various languages, including those with limited resources.AI for Healthcare: Designing and evaluating LLM-powered agents for clinical support, medical information retrieval, patient education, and workflow aut... More
GPI Postdoctoral Research Officer at the University of Oxford
The Department of Social Policy and Intervention is seeking a highly motivated and innovative Postdoctoral Research Officer to work on the Global Parenting Initiative (GPI).The GPI is a five-year, multi-million pound, international collaboration of universities, foundations, and implementing partners, with the bold aim of providing access to free, evidence-based, playful parenting support to every parent, everywhere, equipping them with the knowledge and tools to help their children realise their learning potential and to prevent child sexual abuse, exploitation, and family violence.
The Postdoctoral Research Officer role provides an exciting opportunity to lead the GPI’s expansion into a new and impactful area of research, harnessing the power of generative artificial intelligence (GenAI) to impact millions of families globally. Building on large-scale research and implementation of parenting programmes in the Global South, the successful candidate will draw on existing datasets and behavioural science frameworks to create a large language model (LLM)-powered tool that s... 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
Postdoctoral Research Associate in Robotics & AI at King's College London
The Department of Engineering at King’s College London is looking for motivated researchers to apply for the postdoctoral research associate position in robotics and AI, funded by our new EPSRC project titled “Circular Robot 5.0: Industry Wide Data-Driven Circular Economy of Industrial Robots”. The candidates are expected to have experience with robotics, artificial intelligence, and digital twins. The desirable start is October 2025 or soon after.
This project aims to investigate digital solutions to promote a circular use of traditional and collaborative IR in manufacturing lines by extending their useful life as well as enabling their end-of-life (EoL) remanufacturing and recycling of embedded CRM. The candidate will join our multidisciplinary research team and will collaborate with both academic and industrial partners, including the Royal College of Art, Loughborough University, University College London, and the Manufacturing Tech... 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
PhD Position on Causal Multimodal Foundation Models
Recent breakthroughs in Artificial Intelligence have led to the emergence of the first generation of foundation models capable of generalizing across tasks, domains, and modalities. These advances have opened up powerful new paradigms for solving complex, domain-specific problems through generalist models that can be efficiently fine-tuned for diverse applications. However, the promise of these models is limited by two key challenges: (i) their difficulty in robustly generalizing to new contexts and domains, and (ii) their limited capacity for reasoning and adapting over multimodal, spatio-temporal data streams.
This PhD project addresses these limitations by focusing on causal exploration, enabling agents to actively seek out informative interventions in order to learn the underlying structure of their environment. Rather than relying solely on passive data, the agent will experiment, hypothesize, and test causal relationships to construct more robust and transferable world models. This active, structured approach to learning is crucial for collecting fine-tuning data for flexible multimodal general... More
PhD/postdoc positions in Scientific Foundation Models at the University of Liège (Belgium)
PhD and postdoctoral opportunities are now available at the Science with AI Lab (SAIL, https://glouppe.github.io) of the Montefiore Institute, University of Liège, for researchers interested in advancing deep learning and foundation models for scientific applications.
Open positions include:a PhD/postdoc position in deep learning for scientific foundation models (Mosaic project)a PhD/postdoc position in physics-informed foundation models (Mosaic project)a PhD/postdoc position in foundation models for solving inverse problems (Mosaic project)a PhD/postdoc position on the emulation of regional climate models (MAR.ai project, in collaboration with Prof. Xavier Fettweis)These positions focus on methodological advances in deep learning, with AI for weather as a... More
Postdoc: Bioinformatics, ML/AI, Single-cell Biology, Molecular Medicine
We are recruiting an ambitious computational postdoc to pursue groundbreaking research at the interface of bioinformatics & molecular medicine, powered by ML/AI methods, single-cell biology & bioengineering.
Our group at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences and at the AI Institute of the Medical University of Vienna combines high-throughput biology (single-cell & spatial profiling, epigenetics, CRISPR, bioengineering) with computa-tional methods (bioinformatics, machine learning, artificial intelligence) – for cancer, immunology, neurobiology, and molecular medicine.The PositionWe are looking for ambitious candidates who want to build a scientifi... More
Postdoctoral position on multimodal and generative AI models for scene understanding
The Artificial Intelligence for Good (AIGO) Research Unit is coordinated by Prof. Vittorio Murino. It focuses on fundamental AI topics from methodological and theoretical perspectives, yet functional to tackle a number of applications and actual case studies related to several domains such as biomedical, healthcare, and several others ultimately leading to people wellbeing.
Specifically, AIGO aims at studying learning paradigms in presence of imperfect data, especially in multimodal scenarios, hence tackling unsupervised, semi-supervised and self-supervised settings, weakly or noisy labeled data, few, class imbalanced, or biased. Domain adaptation and generalization, few/zero-shot learning, learning with biased data, and continual learning, even extended to multimodal scenarios, are among the major areas to be investigated, also given their valence in tackling p... More
Two open PhD positions on robot navigation and perception at the University of Freiburg
The Robot Learning Lab at the University of Freiburg and ELLIS Unit Freiburg, Germany, headed by Prof. Abhinav Valada currently has two open full-time PhD positions (E13 100%). International candidates are encouraged to apply, knowledge of the German language is not required. Women and people of underrepresented minority groups are strongly encouraged to apply.
The candidate should have:Master degree in computer science, robotics, machine learning, computer vision, or a related fieldStrong passion for robotics, perception, mathematics, programming and abstract thinkingProgramming skills including in deep learning frameworks such as PyTorch (programming experience in C++ would be a plus)Excellent written and communication skills in EnglishFor the PhD position in Perception and SLAM:Prior research experience in one or more of the following areas:* Sce... More
Postdoc Opening in Robot Learning at TU Darmstadt (ERC Project SIREN)
We are seeking applications for a Postdoctoral Researcher to join the PEARL Lab at TU Darmstadt, Germany, as part of the ERC Starting Grant project SIREN (Structured Interactive Perception and Learning for Holistic Robotic Embodied Intelligence), led by Prof. Georgia Chalvatzaki.
SIREN aims to develop structured, grounded, and physically-consistent methods for interactive robot perception and learning. Our goal is to scale robot behaviors efficiently and robustly through a combination of geometric learning, generative dynamics modeling, and the integration of foundation models.Position DetailsThe postdoctoral researcher will contribute to one or more of the following areas:• Robot learning & modular control• Geometric representation learning• SE(3)-equivariant mod... More
Postdoc at the Intersection of AI and Software Engineering at CISPA & Uni Stuttgart
We are looking for people interested in joining the Software Lab as a postdoc. We conduct research at the intersection of software engineering, programming languages, artificial intelligence, and security, with a focus on tools and techniques for constructing reliable, efficient, and secure software.
General areas of research include:Artificial intelligence to reason about software (e.g., LLM agents for finding and fixing bugs)Static and dynamic program analysis (e.g., to infer specifications)Test input generation (e.g., to compare the behavior of old and new code via differential testing)The Software Lab is headed by Prof. Michael Pradel. It is associated with the CISPA Helmholtz Center for Information Security and the University of Stuttgart. More
Research assistant/PhD student at intersection of AI and Software Engineering at Uni Stuttgart
We are looking for people interested in joining the Software Lab as a PhD student. We conduct research at the intersection of software engineering, programming languages, artificial intelligence, and security, with a focus on tools and techniques for constructing reliable, efficient, and secure software.
General areas of research include:Artificial intelligence to reason about software (e.g., LLM agents for finding and fixing bugs)Static and dynamic program analysis (e.g., to infer specifications)Test input generation (e.g., to compare the behavior of old and new code via differential testing)The Software Lab is headed by Prof. Michael Pradel. It is associated with the CISPA Helmholtz Center for Information Security and the University of Stuttgart. 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
PhD & Postdoc Positions in AI for Physics at MPL in Erlangen
Become part of the Max Planck Society and create new AI/ML approaches for physics: automated discovery of experiments, AI-based exploration of physical systems, optimization of quantum technologies through techniques like reinforcement learning, and more.
We are looking for PhD students and postdocs to work on the theory of:machine learning and AI applied to physics and artificial scientific discoveryneuromorphic computing (physics for machine learning)Applications should be sent electronically to Prof. Florian Marquardt, but always cc to the team assistant, Mrs. Anna Gesine Murphy. The set of documents you should send with your application should include the following:PhD applications: a CV and the names of at least one expert reference (lett... More
PhD Student for Machine Learning applications in Astronomy in Tübingen
We are looking for talented PhD or MSc students interested in ML applications in astronomy (incl. exoplanets, image processing, gravitational wave inference).
In addition, we consider outstanding applicants whose interests are in causal representations / interventional world models, or topics that brings us closer to understanding language/foundation models.We normally recruit students as part of the ELLIS PhD program, IMPRS, CLS (all around November); however, in exceptional cases we consider applications throughout the year.Please send applications to schoelkopf@tuebingen.mpg.de, including a personal (non-LLM) statement re. which topics you are m... More
Postdoc, Machine learning methods or scientific applications in astronomy in Tübingen
We are looking for applicants interested in ML applications in astronomy (incl. exoplanets, image processing, gravitational wave inference).
In addition, we will consider outstanding ML applicants whose interests are in causal representations / interventional world models, or topics that brings us closer to understanding language/foundation models, and who have a track record of getting published in the top ML venues.Please send your application to schoelkopf@tuebingen.mpg.de. More
