The Campus Institute Data Science (CIDAS) is a central scientific unit of the Georg-August-University Göttingen. CIDAS promotes interdisciplinary exchange and activities among faculties and campus-wide in the field of data science. CIDAS offers fellowships to support outstanding young scientists on their path to scientific independence.
CIDAS supports young scientists at an early stage of their career to independently develop projects and to create a perspective to work independently for several years at the Göttingen Campus in the field of Data Science. In particular, the collaboration between methodological or theoretical researchers and applied scientists at the Göttingen Campus and within CIDAS should be promoted. It is assumed that fellows will apply for independent funding (e.g. Em-my Noether, ERC Starting Grant, or similar) within the funded period. Applications should clearly outline the applicant's career prospects and the planned steps toward scientific independence and independent third-party funding.
Outstanding young scientists who are in their early postdoc phase with an idea for their own research project in the field of Data Science. This can be in the fundamentals of Data Science, applied Data Science, or in the social science aspects of Data Science. The project should be a collaboration with at least one member of CIDAS. Other collaborations with groups outside CIDAS are also possible and encouraged. If the applicant is not already a CIDAS member, they will become members upon approval of the application. The funds are made available as application support for own third-party funded projects or a junior research group.
The funding of the Fellowship includes up to €85,000 each, which can be used, for example, to fund the applicant's own position1. If a separate and newly prepared full proposal is sub-mitted to an external third-party funding organization (e.g. DFG, ERC etc.) within the funded period (up to one year), an extension of funding for up to one year can be applied for at CIDAS. An extension request must be submitted at least two months before the end of the first funding period.
1) Description of the research idea (max. 5 pages), including:
- Clearly defined content-related goals, comprehensible time and cost schedule
- Concrete roadmap to scientific independence within the funding period or thereafter
- Planned collaboration with CIDAS members and other scientists
- Innovation of the proposal
2) CV (curriculum vitae)
3) Letter of recommendation from the supervisor or mentor, including a workplace (incl. infrastructure) commitment for the period to be funded. The mentor should not have previously served as the applicant’s PhD supervisor.
In the case of a subsequent extension request to CIDAS, these documents must be updated again and a confirmation from the third-party funding organization that a full proposal has been submitted.
Deadline for applications: Sunday, April 5th, 2026
Please submit your application via email to: cidas@uni-goettingen.de
The applications received will be thoroughly reviewed and decided upon by the CIDAS Board and its representatives immediately after the deadline. At the time of application, CIDAS membership is not required. Candidates whose applications are shortlisted will then be asked to give a short presentation on their planned research project and answer questions about it. The decision on who will be awarded the fellowship will then be made based on the applica-tion documents and the presentation. Membership in CIDAS is only required when approved funds are used. The funds are to be spent immediately after approval. The funds will be allo-cated by CIDAS or the University of Göttingen.
For any questions, please contact the head of the CIDAS office, Dr. Isabelle Matthias: isabelle.matthias@uni-goettingen.de
Dr. Tristan Stöber
E-mail: tristan.stoeber(at)cs.uni-goettingen.de
Project: Brain-Inspired World Model Learning for Next-Generation Artificial Intelligence

Dr. Marie-Kristin Schreiber
Email: marie.schreiber(at)med.uni-goettingen.de
Project: 3D U-Net Analysis of Myelinating Oligodendrocytes in Human Brain Organoids: Exploring Myelin Disorders and Therapeutic Pathways
Fellowships 2024

Dr. Timo Janßen
E-mail: timo.janssen(at)theorie.physik.uni-goettingen.de
Project: Efficient event generation in high energy physics with Normalizing Flows and Optimal Transport
Fellowships 2023

Dr. Heiner Heiland
E-mail: heiner.heiland(at)uni-goettingen.de
Project: The Social Construction of Algorithms
Fellowships 2022

Dr. Helena Bestová
E-mail: helena.bestova(at)uni-goettingen.de
Project: Natural language processing and automated trait-mining workflows for studying plant size distributions on islands

Dr. Daniel Härtter
Email: daniel.haertter(at)med.uni-goettingen.de
Project: Finding the tipping point in dilated cardiomyopathies: A dynamical systems’ analysis of single cardiomyocytes’ functional and morphological long-term trajectories using big data

Prof. Dr. Constantin Pape
Email: constantin.pape(at)informatik.uni-goettingen.de
Project: Image segmentation with minimal supervision for live-cell imaging
Fellowships 2021

Dr. Fatemeh Ziaeetabar
Department for Computational Neuroscience
Bernstein Center for Computational Neuroscience
III Physikalisches Institut - Biophysics
Office: E01.104
Friedrich-Hund-Platz 1, 37077 Göttingen, Germany
Tel: +49 (0) 15253766570
E-mail: fziaeetabar [at] gwdg.de
Project: Construction of a system to describe the actions of several actors and an exemplary application for semantically layered annotation of video image sequences

Shishan Yang
Data Fusion Group
Institute of Computer Science
Office: 3.101,
Goldschmidtstr. 7, 37077 Göttingen
Tel: +49 (0) 551 39 172030
Email: shishan.yang [at] cs.uni-goettingen.de
Project: Efficient Tracking based on Probabilistic Registration of Automotive Radar Data

Anne Berner
Statistics and Econometrics
Office: 2.103
Humboldtallee 3, 37073 Göttingen
Tel: +49 (0) 551 39 24605
Email: anne.berner [at] uni-goettingen.de
Project: Trade-off or synergy? Energy-related emissions and digitalization in the manufacturing industry