Technische Universität Dresden

TUD – Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. The university embodies a university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves, their achievements and productivity to the success of the whole institution.
The Chair of Hydrology has the following key research areas:

• Hydroinformatics
• Stochastic modeling of Hydrosystems
• Development of model-based solutions for sustainable management of water resources
• Flood risk management
• Hydrology of arid regions, water scarcity and irrigation, and
• Dynamics of hydrologic processes in small watersheds.

Within these work fields we closely cooperate with many national and international partners in, e.g., New Zealand, South Africa, Israel, Oman, United Arab Emirates and, of course, Germany.

Homepage: https://tu-dresden.de/bu/umwelt/hydro/ihm/hydrologie

Tasks: We seek a specialist who will apply their skills to future research and development in hydro system modeling and optimal water resources management. You will work with us on integrating methods from data analysis, hydrological modeling, optimization, and machine learning to enable informed decisions in water resource management and risk management. In addition to research, you will actively participate in teaching (according to DAVOHS).
Requirements: a Ph.D. degree in Hydrology, Earth System Sciences, Environmental Sciences or Environmental Informatics, Applied Physics / Mathematics or a related field, preferably at least one year of postdoctoral experience; proven experience in academic teaching as well as work in project teams, scientific publications and presentations at international conferences. Publications and presentations at international conferences; excellent skills in the areas of programming with Python or Matlab, hydrological model development, or machine learning; also experience in working with large data sets and standards such as Climate and Forecast (CF) metadata convention and collaboration tools like Gitlab or Github. The position is not tied to a specific research project but allows you to develop your own research profile. Good German and excellent English language skills are desirable.

Please submit your detailed application with the usual documents by April 30, 2024 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to hydrologie@tu-dresden.de or to TU Dresden, Fakultät Umweltwissenschaften, Fachrichtung Hydrowissenschaften, Institut für Hydrologie und Meteorologie, Professur für Hydrologie, Herrn Prof. Niels Schütze, Helmholtzstr. 10, 01069 Dresden. Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.