Principal investigators

Josef Sivic
Unit Director,
ELLIS Fellow

Josef Urban
ELLIS Fellow

Tomas Pajdla
ELLIS Fellow

Tomas Mikolov
ELLIS Fellow

Torsten Sattler
ELLIS Scholar

Robert Babuska
ELLIS Fellow, Board member ELLIS Unit Delft, Associate Member of ELLIS Unit Prague

PhD & Postdoc students

Antonin Vobecky
ELLIS PhD student

Weakly-Supervised Multi-Modal Learning for Scene Understanding
The objective of the research is to improve the accuracy of machine learning models under the conditions of low amounts of annotated training/testing data as well as the lack of correctly defined data distributions in the context of autonomous driving applications.

Supervisor: Josef Sivic (Czech Technical University)
Industry supervisor: Patrik Perez (

PhD Duration: 01 October 2019 – 01 September 2023

Erik Derner
ELLIS Postdoc student

Towards Responsible and Ethical Large Language Models
The objective of this project is to contribute to the development of safe, secure, reliable, trustworthy, fair, accessible, and user-friendly language models. The research will include a case study focused on the Valencian language, emphasizing the societal and cultural importance of supporting regional languages.

Supervisor: Nuria Oliver (ELLIS Alicante Unit Foundation | Institute of Humanity-centric AI)
Co-supervisor: Robert Babuska (Delft University of Technology & Czech Technical University)

PostDoc Duration: 01 September 2023 – 31 August 2025
Exchange Duration: 15 December 2023 – 31 January 2024 | 15 December 2024 – 31 January 2025

Jonas Kulhanek
ELLIS PhD student

Towards A Unified 3D Scene Representation
3D scene representations, or 3D maps, are an essential component of a wide range of intelligent systems, such as self-driving cars, robots, or virtual reality. A fundamental limitation of the current approaches is, however, that they are designed for a specific sensor setup which makes them difficult to share between applications. This could be enabled by building a database of 3D geometry parts which can be queried efficiently. We hope that our 3D scene representation will bridge the barriers between different modalities and will enable large-scale applications of systems which would otherwise require difficult-to-obtain data.

Supervisor: Torsten Sattler (Czech Technical University)
Co-supervisor: Marc Pollefeys (ETH Zürich & Microsoft)

PhD Duration: 01 September 2021 – 31 August 2025
Exchange Duration: 01 January 2024 – 30 June 2024

The ELLIS PhD & Postdoc Program supports excellent young researchers by connecting them to leading researchers across Europe and offering a variety of networking and training activities, including summer schools and workshops. ELLIS PhDs and postdocs conduct cutting-edge curiosity-driven research in machine learning or a related research area with the goal of publishing in top-tier conferences in the field. 
Click here to learn more about the ELLIS PhD&Postdoc program.