Research Associate (m/f/d) -
Wissenschaftliche*r Mitarbeiter*in
Institute for Geo-Hydroinformatics
Remuneration EG 13 TV-L
ID: 7026WB9
Start of employment: as soon as possible
Application deadline 24.03.2026
Scope part time (80%) and fixed term until 30.04.2029
The Institute of Geo-Hydroinformatics is seeking a PhD candidate to develop advanced modeling and data-driven approaches for investigating interactions between soil degradation and atmospheric variability, focusing on precipitation patterns and extremes. Over land, moisture that feeds precipitation originates both from the underlying land surface and from large-scale atmospheric circulation transporting ocean moisture to continents. Understanding how soil degradation affects these processes is essential for improving predictions of hydrological and climate dynamics. The position is part of the second funding phase of the Cluster of Excellence "Climate, Climatic Change, and Society" (CLICCS), which investigates climate dynamics and climate-related social dynamics, as well as the the interactions between the two. The successful candidate will collaborate closely with the Max Planck Institute for Meteorology (MPI-M) and will leverage Industry 4.0 technologies—including artificial intelligence, satellite remote sensing, global datasets, and big-data analytics—to design and implement predictive models that quantify relationships between soil degradation and changes in precipitation behavior, including extremes. Doctoral candidates are members of the structured doctoral program of the School of Integrated Climate and Earth System Sciences (SICSS), which provides high-quality, interdisciplinary, and internationally oriented training.
YOUR PROFILE
Requirements
- Completed scientific university studies, in particular in the subject Environmental engineering, hydrology, geoscience or related disciplines
Desired knowledge and personal skills
- Excellent academic results and recognitions
- Demonstrated experiences with hydrologic modeling
- Experience with remote sensing, data mining, geospatial data assimilation will be an advantage
- Excellent communication skills in English
OUR OFFER
- Outside of duties, further scientific training is possible, the results can be used for a dissertation
- A job in an interesting, friendly and appreciative working environment
- Flexible and family-friendly working conditions
- 30 day vacation per year (5-days a week)
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Good public transport connections
- Comprehensive training and further education programs
Internal offers for health promotion and special conditions in further gyms
At the heart of TU Hamburg’s research, teaching and transfer of technology is the guiding principle of developing technology for people. The TU Hamburg sees itself in this context as a family-friendly and sustainable university with high performance and quality standards that strives for excellence in all its research fields. Interdisciplinarity, innovation, regionality and internationality are binding principles in our actions.
With currently around 8.000 students, 110 professors and 1.650 employees, the TU Hamburg is characterised by short decision-making processes and close cooperation between the board, the institutes, the deans of studies, the research areas and the administration. We identify ourselves with a modern leadership culture and cultivate appreciative interaction.
For further information please contact Prof. Nima Shokri, Tel.-No. +49 40 30601 2870.
We value diversity, therefore all applications are welcome, regardless of gender, gender identity, ethnic origin, nationality, age, religion and belief, disability, sexual orientation and identity or social background.
The TU Hamburg stands for
equal opportunities as well as
appreciative and respectful cooperation.Notice for graduates of foreign educational qualifications:
Please submit proof of all obtained university degrees and, if available, the recognition of your educational qualifications in Germany (e.g. anabin excerpts and/or acknowledgement of previous employers).