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Scientific Project Coordinator; f​/m​/x) Environmental Data and AI Platform; DataMon

in 04103, Leipzig, Sachsen, Deutschland
Unternehmen: Helmholtz Centre for Environmental Research - UFZ
Vollzeit, Teilzeit position
Verfasst am 2026-10-04
Berufliche Spezialisierung:
  • Forschung/Entwicklung
    Forschungswissenschaftler
Gehalts-/Lohnspanne oder Branchenbenchmark: 60000 - 76000 EUR pro Jahr EUR 60000.00 76000.00 YEAR
Stellenbeschreibung
Stellenbezeichnung: Scientific Project Coordinator (f/m/x) Environmental Data and AI Platform (DataMon)
Scientific Project Coordinator (f/m/x) Environmental Data and AI Platform (Data Mon)

Data Mon is a new strategic UFZ initiative to build an integrated environmental data and AI platform that brings together established monitoring products, scientific data services and cross-domain analytical capabilities. The platform will make UFZ data products more accessible, interoperable and AI-ready, while creating new opportunities for integrated environmental research and knowledge transfer. As Scientific Project Coordinator, you will play a central role in turning this ambitious interdisciplinary initiative into a coherent implementation process, connecting scientific, technical and organisational perspectives across UFZ and with external partners.

Place

of work

Leipzig, Mobile work is possible for up to 50% of working time in accordance with the applicable UFZ regulations.

Working time

100% (39h/week)

The job position is available for full-time or part-time employment.

Contract limitations

Limited contract / Initially limited to one year (planned: 1 January 2027 to 31 December 2027). An extension until the end of 2031 is envisaged, subject to approval of the Data Mon project and availability of funds.

Salary

Remuneration according to the TVöD public-sector up to pay grade 13 including attractive public-sector social security benefits.

Contact

For any questions you may have about the job:

Jan (Sie können sich bewerben oder uns per E-Mail kontaktieren in dem Sie die untenstehende Online-Bewerbungsbox verwenden)  and Inclusion

The UFZ values diversity and is actively committed to ensuring equal opportunities for all employees, regardless of their origin, religion, beliefs, disability, age or sexual identity.

We welcome people who represent diverse backgrounds, identities and perspectives. We therefore particularly encourage people who are affected by structural discrimination to apply to us.

The UFZ

The Helmholtz Centre for Environmental Research (UFZ) is a world-leading institution in environmental research and a member of the Helmholtz Association, Germany's largest scientific organisation. With approximately 1,200 employees across Leipzig, Halle, and Magdeburg, we have been conducting research since 1991 using a transdisciplinary approach to address the most pressing challenges of our time: biodiversity loss, climate change, and environmental pollution.

Our goal is to translate excellent research into practical solutions for policymakers, business, and society, and to serve as a reliable partner in supporting transformation processes toward a sustainable and just future for current and future generations. We foster a culture of collaboration, openness, and diversity within a work environment that actively promotes creativity and personal development.

The job

Data Mon is a new strategic UFZ initiative to build an integrated environmental data and AI platform that brings together established monitoring products, scientific data services and cross-domain analytical capabilities. The platform will make UFZ data products more accessible, interoperable and AI-ready, while creating new opportunities for integrated environmental research and knowledge transfer. As Scientific Project Coordinator, you will play a central role in turning this ambitious interdisciplinary initiative into a coherent implementation process, connecting scientific, technical and organisational perspectives across UFZ and with external partners.

Your

tasks
  • Establish and maintain the integrated Data Mon roadmap across the shared platform, monitor and data-product modules, and cross-cutting AI and spatial-compute services.
  • Work closely with module leads to clarify requirements, resolve dependencies and conflicts, prepare decisions, agree on priorities and next steps, and ensure consistent follow-up across the Data Mon portfolio.
  • Coordinate milestones, deliverables, dependencies, resource requirements, risks and decisions across module leads, research data management, IT, knowledge transfer, research infrastructure units, technical working groups and external service providers.
  • Translate scientific and user needs into clear technical and organisational requirements, identify reusable solutions and synergies across modules, and align priorities, interfaces and implementation pathways.
  • Prepare and facilitate Steering Group meetings, readiness reviews and cross-project workshops; draft decision papers and ensure that agreed actions are followed up and, where necessary, escalated.
  • Establish and maintain project controls for schedules,…
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