Research Associate (f_m_x) Scientific Programming - Inklusiver Job

GFZ Helmholtz-Zentrum für Geoforschung; Potsdam; Vor Ort; EUR 45.000 - 65.000; Vollzeit

Zusammenfassung

Ein führendes Forschungszentrum in Deutschland sucht einen Research Associate – Scientific Programming. Die Rolle umfasst die Entwicklung von Software für die Analyse von Satellitendaten sowie die Pflege von Daten-Repositories. Kandidaten sollten einen Master-Abschluss in Informatik oder Naturwissenschaften haben und mehrere Jahre Erfahrung in der Programmierung mitbringen. Es wird ein familiäres Arbeitsumfeld mit flexiblen Arbeitszeiten und vielfältigen Weiterbildungsmöglichkeiten geboten.

Leistungen

Vielfältige Aufgaben in einem internationalen Umfeld

Moderne Infrastruktur

Öffentliche Dienstleistungen

Umfangreiche Schulungsangebote

Berufliche Karriereberatung

Flexible Arbeitszeiten

Unterstützung bei Work-Life-Balance

Kita vor Ort

Qualifikationen

• Mehrere Jahre Berufserfahrung in der IT-Programmierung oder wissenschaftlichen Programmierung.
• Erfahrung mit großen Datensätzen.
• Teamarbeit in einem multikulturellen Umfeld.

Aufgaben

• Strukturierte Daten- und Software-Repositories verwalten.
• Software-Pipelines für Satellitendaten erstellen.
• Zusammenarbeit mit internationalen Forschungspartnern.

Kenntnisse

IT-Programmierung

Datenanalyse

Unix-Kenntnisse

C++

Python

Matlab

Maschinenlernen

Ausbildung

Master-Abschluss in Informatik oder Naturwissenschaften

Tools

Git

Docker

Kubernetes

Jobbeschreibung

GFZ is Germany's national centre for solid Earth research. We advance the understanding of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing georesources. We are part of the Helmholtz Association, the largest German scientific organisation. With around 1,200 employees as well as ca. 500 guest researchers, we contribute to the Helmholtz Research Field Earth and Environment, aligning cutting‑edge research with societal relevance and international collaboration. Our work integrates multidisciplinary studies across Earth's system components, leveraging advanced technologies and infrastructure to research solutions and to transfer our knowledge to society. We are doing this according to our vision: “Taking the pulse of our Earth to safeguard a habitable planet”.

Research Associate – Scientific Programming

Reference Number 10769

Our section is working on understanding the dynamical evolution of the hazardous space radiation environment and developing tools for the prediction of the adverse effects of the space environment utilising satellite observations, physics‑based numerical models, machine learning, and data assimilation. Our research will help safely design and operate satellites and maintain ground networks. We try to bridge our theoretical studies with high‑performance tools that can be used in science, predictions, and applications.

Your responsibilities

• Maintain structured repositories for scientific data and software, ensuring version control, accessibility, and reproducibility
• Manage and further develop the section’s project websites, including integration of interactive tools and real‑time visualisations for space weather data
• Design and implement software pipelines for processing, analysing, and visualising satellite data (e.g., GOES, POES, ARASE)
• Adapt and extend existing scientific codes and models for application to new space physics problems
• Contribute to the development and integration of numerical models (e.g., VERB) and machine‑learning frameworks (e.g., KpML, PINE, NET)
• Perform analysis of observational and model data from the near‑Earth space environment, contributing to scientific publications and presentations
• Architect computational workflows ensuring robust, reproducible, modern and efficient research processes
• Support technical team activities, including interviews, and mentoring
• Collaborate with international research partners and contribute to overall scientific development

Your qualifications

• A Master's degree in computer sciences or natural sciences
• Knowledge of data engineering and data science concepts
• Several years of working experience with IT programming or scientific programming
• Knowledge of Unix operating systems and maintenance of Unix workstations
• Experience with various programming languages, including C++, Python and Matlab
• Ability to work with large datasets
• Experience with machine learning, data mining and data assimilation is a plus
• Knowledge of git, docker, kubernetes, and/or metadata is a plus
• Ability to work in a collaborative and multi‑cultural environment
• Attention to detail and strong organisational skills
• Excellent interpersonal and communication skills

What we offer

• Ambitious and varied tasks in a dynamic and international research environment
• State‑of‑the‑art equipment
• Public service benefits
• Extensive training opportunities
• Professional career advice offered by our in‑house Career‑Centre
• Flexible working hours and conditions
• Support with finding a good work‑life balance offered by benefit@work
• Institute day‑care centre on site
• Working at the Albert Einstein Science Park on the Telegrafenberg in Potsdam
• Workplace within walking distance of Potsdam main train station, or just a short ride on the shuttle bus

Additional information

Start date: As soon as possible
Fixed‑term: 2 years (with possibility of extension)
Salary: Classed as salary group 13 according to TVöD Bund (Tarifgebiet Ost)
Working hours: Full‑time (currently 39 h / week); the position is generally suitable for part‑time work.
Place of work: Potsdam

Application deadline: 15 October 2025
Required documents: CV and letter of motivation
Desirable documents: references, certificates (grades)

The GFZ actively promotes diversity and explicitly welcomes applications from all qualified individuals, regardless of ethnic and social origin, nationality, gender, sexual orientation and identity, religion / belief, age and physical characteristics. Anyone who has been recognised as severely disabled will be given preferential consideration in the event of equal suitability and qualification in accordance with the provisions of the German Social Code IX. For further queries regarding gender equality, please contact our Equal Opportunities Officer.

“Diversity in perspectives” is one of GFZ's core values. As an integral part of supporting diversity at our centre, we actively promote women in science and in leadership positions. We among others do this through our gender equality plan and the cascade model measures which we actively implement to enable sustainable equal opportunities in academic career paths. The GFZ thus committedly strives for gender equality in science, including in leadership positions, and strongly encourages women to apply.

Your personal data will be processed for the purpose of conducting the selection procedure on the basis of Art. 6 para. 1 b, Art. 88 GDPR in conjunction with Art. 26 of the Data Protection Act for the State of Brandenburg. After completion of the procedure, application documents will be deleted in compliance with data protection regulations.

In case of any further queries relating to the field of activity, please contact Dr. Dedong Wang via email. If you have any general questions about the application process, please contact our recruiting team at +49 (0) 331‑6264‑28787.