Research Associate for the Project “Carbon Dynamics and climate futures in drylands of Southern[...]

Research Associate for the Project “Carbon Dynamics and climate futures in drylands of Southern Africa” § 28 Subsection 3 HmbHG

Institution: Cluster of Excellence „Climate, Climatic Change, and Society (CLICCS)“ (climate research), Faculty of Mathematics, Informatics and Natural Sciences, Department of Earth System Sciences, Institute of Geography.

Salary level: EGR. 13 TV-L.

Start date: , fixed until (fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act (Wissenschaftszeitvertragsgesetz, WissZeitVG)).

Application deadline: .

Scope of work: part-time.

Weekly hours: 65 % of standard work hours per week.

Responsibilities

• conduct research on remote sensing–based quantification of soil and biomass carbon and vegetation–climate–land-use interactions in Southern African drylands
• develop and apply machine-learning methods to link optical/SAR/hyperspectral/UAV spectral data with carbon pools at tree, plot, and regional scales; produce spatially explicit indicators for model integration
• co‑develop robust Earth Observation workflows (data curation, pre‑processing, QA/QC, uncertainty analysis) and contribute remote‑sensing–derived inputs to ecosystem and climate models (e.g., ICON, EPIC)
• collaborate with colleagues across disciplines (e.g., anthropology, modeling) to ensure alignment of remote sensing products with stakeholder scenarios and agent‑based modeling
• prepare peer‑reviewed publications, present research at international conferences, and contribute to reporting and data management (FAIR)

Qualifications

• A university degree in a relevant field.
• By the time of submitting application the applicant must have completed Master’s degree in Geography (with focus on Remote Sensing) or in another related field (with focus on Remote Sensing, Earth Observation, or Data Sciences).
• Proven skills in satellite data analysis (e.g., Sentinel‑1/2, Landsat).
• Proven skills in Python and/or R, and statistics/Machine Learning for geospatial data.
• Experience with SAR and/or hyperspectral data and time‑series analysis; UAV experience is a plus.
• Familiarity with carbon cycle concepts and interest in linking EO with ecosystem/climate modeling is a plus.
• Ability to work independently and in interdisciplinary/international team; strong scientific writing and communication in English.

Benefits

• Reliable remuneration based on wage agreements
• Continuing education opportunities
• University pensions
• Attractive location
• Flexible working hours
• Work‑life balance opportunities
• Health management, EGYM Wellpass
• Educational leave
• 30 days of vacation per annum

Application Instructions

To apply, please use only the online application form to submit your application with the following documents:

• Cover letter
• CV
• Copies of degree certificate(s)
• Concept note (max. 4 pages) detailing your research plans

Contact: Prof. Dr. Olena Dubovyk, email:

Reference number: 305.

Location: Bundesstraße 55, 20146 Hamburg.

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