5 beste Stellen als student work part time in potsdam, bb – aktuell auf Personalsuche

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Scientist / Postdoctoral Researcher (f_m_x) - Remote Sensing & Forest Monitoring
GFZ Helmholtz-Zentrum für Geoforschung —Potsdam
- Vollzeit
- Hybrides Arbeiten
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- Datenanalyse
- Forschungserfahrung
- Flexible Arbeitszeiten
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Scientist / Postdoctoral Researcher (f_m_x) - Remote Sensing & Forest Monitoring [english]

GFZ Helmholtz-Zentrum für Geoforschung
Potsdam

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 2 Tagen

Leistungen

Flexible Arbeitszeiten

Qualifikationen

Doktorat
Big Data
R
Datenanalyse
Forschungserfahrung
Master
Projektmanagement
Rechnungswesen
Cloud-Computing
Python
Deutsch

Vollständige Stellenbeschreibung

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 in line with our vision: “Taking the pulse of our Earth to safeguard a habitable planet”.

For section 1.4 "Remote Sensing and Geoinformatics" (department "Geosystems") we are looking for a:

Scientist / Postdoctoral Researcher (f_m_x) - Remote Sensing & Forest Monitoring

Reference Number 11296

Join our international research activities in the field of global forest monitoring and Earth observation as a parental leave replacement.

The work will be related to the R&D Component of the Global Forest Observations Initiative (GFOI). GFOI addresses methodological and technical challenges that interfere with progress in forest and land-use monitoring and subsequent greenhouse gas (GHG) accounting efforts for reporting countries. The primary aim is to foster a community of experts to highlight scientific advancements and emerging technical methods that can enhance the efficiency of forest and land use monitoring systems. The research focuses on tropical forests, Earth Observation-based forest monitoring, REDD+ reporting requirements, AFOLU reporting, and capacity building in tropical partner countries in Africa, Asia, Latin America and the Caribbean.

Your responsibilities:

Development and application of innovative large-scale/global remote sensing methods for the routine monitoring of forest ecosystems
Coordination of projects within the framework of the Global Forest Observation Initiative (GFOI)
Analysis, interpretation and visualisation of remote sensing and in-situ data
Development of operational products and services on a global scale, with a focus on tropical forest carbon emissions and emission reductions
Publication of scientific results in international journals and presentation of research results at national and international conferences, as well as policy forums
Participation in the application process for national and international research projects
Establishing and maintaining scientific collaborations with national and international partner institutions, including government agencies and international development organisations
Professional supervision of students, interns and doctoral candidates

About You:

Essential Qualifications:

Experience in the assessment of the maturity of novel methods using Earth Observation data, with knowledge of end-user requirements within national forest monitoring systems
A completed Master`s degree (or equivalent) and a doctorate in the field of remote sensing, geosciences, geoinformatics, environmental sciences, data science or comparable disciplines
In-depth knowledge of remote sensing, tropical forest monitoring and geospatial data analysis
Experience in processing and analysing multi-temporal remote sensing datasets and spatial data
Knowledge of carbon accounting, MRV systems and the analysis of emissions and emission reductions from deforestation and forest degradation in tropical forests
Programming skills in R and/or Python
Experience in scientific work and publishing
Knowledge of project management and experience in the acquisition and management of third-party funding projects
Very good English skills, both spoken and written

Desirable Qualifications:

Experience in an international scientific environment, including collaboration with tropical partner countries
In-depth knowledge of REDD+, AFOLU reporting (IPCC guidelines, UNFCCC frameworks) and cooperation with tropical partner countries
Experience with cloud computing and big data technologies
Working knowledge of additional languages relevant for cooperation with partner countries (e.g. Spanish, Portuguese, French)
German language skills (intermediate or higher) are an advantage.
Experience representing scientific or technical work in international policy processes (e.g. UNFCCC, GFOI, SilvaCarbon, FAO)
Strong communication and teamwork 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

Start date: As soon as possible
Fixed-term: 16 months / parental leave
Salary: The position is classed as salary group 13 according to “TVöD Bund (Tarifgebiet Ost)”. The salary group is determined on the basis of the Collective Wage Agreement and the respective personal qualifications.
Working hours: Full-time (currently 39 h/week); The position is generally suitable for part-time work.
Place of work: Potsdam

Have we piqued your interest?

If so, we look forward to receiving your application by 17th June 2026. Please use our online application form only.

Required documents: motivation letter, CV, 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. We also promote an inclusive working environment in which everyone can fully develop their own talents. 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. If you have any further queries regarding gender equality, please do not hesitate to 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.

Data protection information for applicants

In case of any further queries regarding the field of activity, please contact Dr. Daniela Requena-Suarez via email. If you have any general questions about the application process, please contact our recruiting team at our phone number +49 (0) 331-6264-28787.

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Scientist / Postdoctoral Researcher (f_m_x) - Remote Sensing & Forest Monitoring [english]

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Ich möchte aktuelle Job-E-Mails für Stellen als student work part time in potsdam, bb erhalten

Weitere Job-Standorte erkunden

Scientist / Postdoctoral Researcher (f_m_x) - Remote Sensing & Forest Monitoring

Reference Number 11296

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