Within the research group Visual Data Analysis, located within the department Visual and Data-Centric Computing, we are offering a position, starting January 1, 2027, on a full-time basis (39,4 hours per week), limited until December 31, 2029 for a Researcher (f/m/d). If the applicant meets the relevant wage requirements and personal qualifications, the salary will be based on remuneration group 13 TV-L of the pay scale for the German public sector.
Researcher (f/m/d)
Zuse-Institut Berlin
Full-time
Temporary
61,193.82 - 86,189.54 € per year
Position Details
Background & Context
The project is part of the DFG-funded research group RobustCircuit, which is carried out in close cooperation with neurobiological research groups at Freie Universität Berlin, Johannes Gutenberg University Mainz, Humboldt-Universität zu Berlin, and the Paris Brain Institute, as well as a mathematical research group at Freie Universität Berlin.
The aim of RobustCircuit is to investigate the role of imprecision in neural circuit assembly and its effects on the structural and functional robustness of these circuits. Various imaging techniques, including multiphoton microscopy, are used to generate time-dependent two- and three-dimensional image data of neurons and subcellular structures.
Your Tasks
You will develop and adapt image analysis and automated tracking methods for time-dependent two- and three-dimensional imaging data. These methods will support neurobiologists in analyzing and interpreting their experimental data.
In addition, computational connectomics will play an important role in investigating the structure and organization of neural circuits.
Your Profile
- Master’s degree in neuroscience, computer science, mathematics, or a related field, preferably with a focus on image analysis and an excellent academic record
- Solid knowledge and practical experience in visualization and visual data analysis
- Familiarity with computational connectomics and neurobiological research
- Proven programming skills in C++ and Python, ideally with experience in scientific software development
- Knowledge of image analysis, and machine learning/artificial intelligence methods
- Experience with research data management and the handling, processing, and documentation of scientific data
- Independent, proactive, reliable, and committed approach to work
- Excellent written and spoken English, combined with strong communication and teamwork skills in interdisciplinary and international environments
What you can expect
We offer a friendly work environment with flexible work and meeting times, excellent equipment and a challenging professional environment
- comprehensive training in a competent and cooperative team,
- professional training opportunities and support in professional development,
- an additional pension scheme (VBL),
- 30 days annual leave, flexible working hours (flexitime),
- a salary based on TV-L (collective agreement for the public service of the federal states) in accordance with qualifications and professional experience with annual bonus payment,
- capital allowance of up to € 150 per month, or alternatively a BVG job ticket plus the remaining balance,
- the use of canteens and sports programs of the Freie Universität Berlin (FUB) at reduced rates.
The Zuse Institute Berlin is committed to diversity, equal opportunities, and a respectful and inclusive working environment. In order to increase the proportion of women in areas where they are underrepresented, we expressly encourage women to apply. Irrespective of this, we welcome applications from all qualified candidates regardless of age, disability, ethnic or social background, religion or belief, sexual orientation, or gender identity.
Please apply via our online application form by October 19, 2026, submitting your complete application including curriculum vitae in tabular form and the standard supporting documents.
Our private policy statement regarding application data is available at www.zib.de/impressum.
For further job offers please visit our website at www.zib.de/jobadvertisement.
Contact
For further information about the position, please refer to our website www.zib.de or contact Dr. Daniel Baum (baum@zib.de).
About us
The Zuse Institute Berlin (ZIB) is an interdisciplinary research institute of the State of Berlin, combining artificial intelligence and scientific computing with applied mathematics and high-performance computing. Together with partners from academia, technology and industry, we develop computational methods to address challenges of societal relevance and provide state-of-the-art infrastructure for high-performance computing, artificial intelligence and data management.