Research Associate
(m/f/d) /
Wissenschaftliche*r Mitarbeiter*in (m/w/d)
Institute Institute of Geo-Hydroinformatics
Remuneration EG 13 TV-L
Start of employment October 1st 2025
Application deadline May 6th 2025
Scope full time, fixed term until September 30th 2029
The Research Training Group 3068, Climate-Informed Engineering, at Hamburg University of Technology, funded by the German Research Foundation (DFG), is dedicated to interdisciplinary research on climate-informed sustainable resource management and environmental engineering. As part of this Research Training Group, we offer dedicated researchers the opportunity to pursue a doctorate in an outstanding research environment at Hamburg University of Technology, in collaboration with the Max Planck Institute for Meteorology and the United Nations University Institute for Water, Environment, and Health (UNU-INWEH). The advertised position is supervised by the Institute of Geo-Hydroinformatics which is interested in tackling global challenges concerning water, soil, and the environment. We aim to provide accurate and quantitative insights into multiscale and multiphase ecohydrological processes occurring near the Earth's surface. In this context, we are seeking a researcher specializing in geo-hydroinformatics and environmental engineering. The ideal candidate will employ state-of-the-art modeling approaches, satellite remote sensing, big data analytics, and data-driven tools—combined with strong programming skills—to study desiccating saline lakes worldwide and the resulting saline dust storms and their implications on soil health, salinization, and human well-being under various conditions.
YOUR PROFILE
Requirements
- Completed scientific university studies, in particular in the subject environmental engineering, civil engineering, hydrology, ecohydrology, fluid mechanics, or a related field
Required knowledge and personal skills
- Proven experience in large-scale modeling, big data analytics, GIS, and satellite remote sensing ideally demonstrated through high-quality publication
- Experience with AI algorithms and machine learning techniques for environmental modeling
- Experience with topics related to desiccating lakes and saline dust storms would be an important asset
- Excellent communication skills in English (both oral and written B2/ C1 GER)
In order to ensure transparency, please note that we can only consider applications submitted via the university's online application system. Applications sent to us via email will not be considered.
OUR OFFER
- a job in an interesting, friendly and appreciative working environment
- intensive induction/ onboarding
- flexible and family-friendly working conditions
- possibility of mobile working
- 30 day vacation per year
- good public transport connections
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.
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 TUHH 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).
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