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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Assistant Professor (RTDA) in Computer Vision at University of Trento
We are seeking a highly motivated and promising early-career researcher who is passionate about advancing the field of computer vision and its intersection with natural language processing. The successful candidate will be expected to develop an independent research agenda while actively collaborating with other members of the Department and the broader AI research community.
The candidate will be encouraged to pursue fundamental research in vision-language models and will have the freedom to explore a variety of directions, including but not limited to:Vision-language reasoningMultimodal interpretability and transparencyFairness, bias detection, and mitigation in VLMsCompositionality and generalization in multimodal learningRequirementsApplicants should have:A Ph.D. in Computer Science or a closely related fieldA strong research track record in Computer Vision, M... 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
PhD Position on Multimodal Foundation Models at the University of Amsterdam’s Video & Image Sense lab
The University of Amsterdam’s Video & Image Sense lab is searching for a talented PhD student to join their team.
Dive into cutting-edge research on multimodal foundation models, leveraging deep learning and computer vision to develop novel methods for pre-training and fine-tuning multimodal AI models. Balance generalist and specialist approaches to tackle diverse use cases efficiently. Collaborate within the European Horizon ELLIOT project, a 32-partner initiative delivering open foundation models, datasets, and tools for reproducible AI development across Europe. More
2 fully-funded PhD Positions at Table Representation Learning Lab in Amsterdam
Available are 2 fully-funded PhD positions open in the recently established Table Representation Learning Lab in Amsterdam (https://trl-lab.github.io/people/), led by dr. Madelon Hulsebos.
The PhD positions are contributing to the democratization of insights from tabular data, and will do research in the direction of:PhD on Fundamental Techniques for Table Representation Learning:High-capacity neural models, such as transformers, have been pivotal for establishing general-purpose models for a wide variety of natural language tasks. Despite successful adaptations for structured data, our research has identified shortcomings for fundemental properties of tabular data. This resear... More
Post-Doctoral AI Scientist Position for Generative Computational Protein Design for Viral Targets
This is a post-doctoral AI Scientist position at INRAE in Toulouse, France, focused on computational protein design for "AI4good" initiatives.
The role involves developing, training, and testing deep learning architectures to generate and evaluate protein structures and sequences with specific functions, particularly for viral targets (that will be tested in practice, in collaboration with virologists). The ideal candidate will have strong Python and deep learning skills (Torch, GNNs, generative models like DDPMs, Transformers, xLSTM,...).The position is a two-year fixed-term contract, renewable for one year, starting in Q2-3 2025. 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
Tenure-Track position "Transformative Health Care focusing on Artificial Intelligence in Medicine" - Medicine at the Johannes Kepler University
The position is open to highly qualified junior female researchers holding a doctorate/PhD in the engineering or life sciences (computer sciences, bioinformatics, medical technology, etc.) and includes the option of concluding a qualification agreement which could result in a permanent position as Associate Professor (§ 99 para. 5 and 6 of the Austrian Universities Act).
The candidate should possess a high degree of research expertise in the field of interdisciplinary and transdisciplinary research and be capable of driving technological research and advances forward, particularly in the field of artificial intelligence in medicine. Moreover, the successful candidate should demonstrate a base-knowledge understanding of medicine and/or a basic understanding of medical processes (such as diagnostics, therapy and preventative medicine) and demonstrate experience... More
Tenure-Track position "Transformative Health Care, focusing on Medical Technology" - Faculty of Medicine at the Johannes Kepler University
The position is open to highly qualified junior female researchers holding a doctorate/PhD in the engineering or life sciences (computer sciences, bioinformatics, medical technology, etc.) and includes the option of concluding a qualification agreement which could result in a permanent position as Associate Professor (§ 99 para. 5 and 6 of the Austrian Universities Act).
The candidate should possess a high degree of research expertise in the field of interdisciplinary and transdisciplinary research and be capable of driving technological research and advances forward, particularly in the field of artificial intelligence in medicine. Moreover, the successful candidate should demonstrate a base-knowledge understanding of medicine and/or a basic understanding of medical processes (such as diagnostics, therapy and preventative medicine) and demonstrate experience... More
Postdoc in Multi-Modal Representation Learning for Sustainable Food Processing
The project is about developing machine learning (ML) methods that help to develop the food of the future. The successful candidate is expected to conduct basic research in ML and to contribute to the application of ML in the food science.
The Department of Computer Science invites applicants for a 24 month postdoctorate fellowship with a possibility for extension in Multi-Modal Representation Learning for Design of Sustainable Food Processing. The project is part of the larger research project “AI4NaturalFood”, in collaboration with the Department of Food Science, and the project is financed by the Novo Nordisk Foundation.Start date is 1st October, 2025 or as soon as possible thereafter. 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 Positions for Probabilistic Numerical Algorithms for AI for Science at Tübingen AI Center
The Methods of Machine Learning Group at the Tübingen AI Center is looking for candidates interested in probabilistic numerical algorithms for ML in Science. Our research, funded by the ERC, aims to seamlessly blend information from data, mechanism, and computation to predict and control complex systems.
Interested candidates should have (or be about to complete) an MSc degree in Machine Learning, CS, Math, Physics, or related fields, and ideally have experience with probabilistic (aka. Bayesian) inference. Please send your CV and a description of your interests to Franziska Weiler at mml-sekretariat@inf.uni-tuebingen.de. The position is open immediately until filled.The MoML group, headed by Philipp Hennig, is part of the Tübingen AI Center and the CS Department at the University of Tübingen... 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 Position for Probabilistic Numerical Algorithms for AI for Science at Tübingen AI Center
The Methods of Machine Learning Group at the Tübingen AI Center is looking for postdoc candidates interested in probabilistic numerical algorithms for ML in Science. Our research, funded by the ERC, aims to seamlessly blend information from data, mechanism, and computation to predict and control complex systems.
Interested candidates should have (or be about to complete) a strong PhD in machine learning and experience with probabilistic inference. Please send your CV and a description of your interests to Franziska Weiler at mml-sekretariat@inf.uni-tuebingen.de.The position is remunerated according to the German E13 public sector pay scale for two years initially, with an option for extension. It is open from immediately until filled.The MoML group is part of the Tübingen AI Center and the CS Departm... 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
PhD position on Learning Concepts with Theoretical Guarantees Using Causality and RL at University of Amsterdam
The Amsterdam Machine Learning Lab (AMLab) group at the university of Amsterdam is looking for a PhD candidate on this topic. The position is part of the Hybrid Intelligence consortium, a network of excellence of universities and institutes in the Netherlands focused on the combination of human and machine intelligence.
The Amsterdam Machine Learning Lab (AMLab) group at the university of Amsterdam is looking for a PhD candidate on this topic. The position is part of the Hybrid Intelligence consortium, a network of excellence of universities and institutes in the Netherlands focused on the combination of human and machine intelligence. This project will be in collaboration with the Sequential Decision Making group at TU Delft.An AI model can have perfect accuracy on the training dataset even by learning the ... More
Postdoc in 3D Computer Vision at Technion
Or Litany, ELLIS Scholar, is hiring postdocs for his "learning in three-dimensions" lab at the Technion.
He specializes in 3D computer vision and generative AI. He is actively seeking talented and motivated Postdoctoral and PhD candidates to join my new lab at the Technion. To get a sense of the research areas I am most passionate about, I encourage you to explore my recent publications and invited talks. As an ELLIS Scholar, I also invite eligible candidates to consider applying through the ELLIS PhD and Postdoc Program. More
