Explorable Data Science

CIDAS Fellowship 2025

The Campus Institute Data Science (CIDAS) is a central institution of the Georg-August-Universität and, at the same time, a hub for cross-faculty and campus-wide collaboration in the field of Data Science. In order to give excellent early-career researchers the opportunity to pursue their own innovative research question in the area of Data Science and Artificial Intelligence, CIDAS provides fellowships for this purpose.


Funding Objectives:

CIDAS aims to support particularly young researchers at an early career stage in developing independent projects and establishing a perspective to work at the Göttingen Campus in the field of Data Science over multiple years. The focus is especially on fostering collaboration between researchers in methodological/theoretical areas and those in applied sciences at the Göttingen Campus and within CIDAS. Applications should outline a career perspective for the applicants and demonstrate a path toward scientific independence and external funding of their own.


Who can apply:

Outstanding early-career researchers in their early postdoctoral phase who have an idea for an independent research project in the field of Data Science. This could be in fundamental Data Science, Applied Data Science, or in the social-science aspects of Data Science. Planned collaboration with at least one member of CIDAS is required. Other collaborations with groups outside CIDAS are also possible and welcome. If the applicant is not yet a CIDAS member, they will be admitted to CIDAS upon approval of the application. The position should mainly be used for preliminary work leading to a subsequent application for independent third-party funded projects or a junior research group.


Required Documents:

Description of the research idea (max. 5 pages), including:
- Clearly defined objectives, a clear timeline and a budget plan
- Possible perspectives after the project, career outlook, possibly a plan for third-party funding
- Planned collaboration with CIDAS members and other researchers
- Innovation of the proposal
CV (curriculum vitae)
Recommendation letter from the supervisor or mentor, including confirmation that research space is available during the funding period. Typically, this person should not have been the supervisor of the applicant’s doctoral thesis.

For a subsequent application for extension at CIDAS, these documents must be resubmitted with updates as well as confirmation from the third-party funder of the submission of a full application.

Deadline for applications: Sunday, November 3, 2024
Please submit your application via email to: cidas@uni-goettingen.de


Further Procedure:

All submitted applications will be thoroughly reviewed and decided upon by the CIDAS Board and its representatives immediately after the deadline. At the time of application, it is not necessary to be a member of CIDAS. Membership is only required if the approved funds are utilized. The funds must be used immediately after approval. The employment will be processed through 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



Fellowships & Projects

In 2025, the CIDAS Fellowship was awarded to

Dr. rer. nat. Marie-Kristin Schreiber

Dr. rer. nat. Marie-Kristin Schreiber
E-mail: marie.schreiber@med.uni-goettingen.de
Project: Project Title: 3D U-Net Analysis of Myelinating Oligodendrocytes in Human Brain Organoids: Exploring Myelin Disorders and Therapeutic Pathways


In 2024, the Fellowship was awarded to:

Portrait_Timo_Janssen
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

In 2023, the Fellowships were awarded to:

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

In 2022, the Fellowships were awarded to:

Bestova_foto
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

Härtter_foto
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

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

In 2021, the Fellowships were awarded to:

FatemehZiaeetabar
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

ShishanYang
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

photo_berner
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