Researcher (f/m/d)

ZIB

Berlin

Hybrid

EUR 52,000 - 64,000

Full time

6 days ago
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Benefits offered by this job

Betriebliche Altersvorsorge
30 Tage Jahresurlaub
flexible Arbeitszeiten

Job summary

Das Zuse-Institut Berlin sucht ab Januar 2027 eine/n Wissenschaftler/in (m/w/d) im Bereich Bildanalyse und zeitabhängige Bilddaten. Die Stelle ist in Vollzeit (39,4 Std./Woche) befristet bis 31.12.2029 und basiert je nach Qualifikation in TV-L Entgeltgruppe 13.

Die Forschung erfolgt im RobustiCircuit-Projekt in enger Kooperation mit Universitäten und neurobiologischen Gruppen. Zu den Aufgaben gehört die Entwicklung und Anpassung von Bildanalyse- und automatisierten Tracking-Methoden für

Qualifications

  • Master’s degree with excellent academic record
  • Starke Visualisierungs- und Datenanalysekenntnisse
  • Erfahrung mit Bilddaten und neurobiologischer Forschung
  • Nachweisbare Programmierkenntnisse in C++ und Python
  • Kenntnisse in Bildanalyse und ML/AI-Methoden
  • Erfahrung im Umgang mit Forschungsdaten und Dokumentation

Responsibilities

  • Entwickeln und Anpassen von Bildanalyse- und Tracking-Methoden für zeitabhängige 2D/3D-Daten
  • Unterstützung von Neurobiologen bei der Analyse und Interpretation von Experimentdaten
  • Beitrag zur Computational-Connectomics-Forschung

Skills

Image analysis
Visualization
Computational connectomics
C++
Python
English communication
Teamwork

Education

Master's degree in neuroscience, computer science, mathematics, or related field

Tools

C++
Python

Job description

Position Details

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.

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 ofRobustCircuit 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 workExcellent 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 environmentas well as

  • 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.

Contact

For further information about the position, please refer to our website www.zib.de or contact Dr. Daniel Baum (baum@zib.de).

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