The Helmholtz Centre Potsdam – GFZ German Research Centre for Geosciences is the national centre for geosphere research. As a member of the Helmholtz Association we are part of the largest German scientific organization. With around 1,300 employees (including our guests) we develop a sound understanding of the systems and processes of the solid Earth as well as strategies and options for action to face global change and its regional impacts, to understand natural hazards and reduce associated risks, and to assess the influence of humans on the Earth's system.

As a partner in Geo.X, the GFZ has access to an excellent network of other geoscience institutions in Potsdam and Berlin. This largest regional concentration of geoscientific competence in Europe offers first-class cooperation and development opportunities.

For section 4.4 "Hydrology" (department 4 "Geosystems"), we invite applications for a:

PhD Position (m/f/x) - Flood Processes and Extreme Value Statistics Reference Number 4265

in the Subproject 3 "From small to extreme floods" of the DFG Research Unit "Space-Time Dynamics of Extreme Floods (SPATE)". The Research Unit investigates in seven subprojects with partner institutions from Germany and Austria how extreme river floods are generated, what their spatial and temporal dynamics is and how their predictability can be improved.

Your responsibilities:

  • data and model-based analysis of mechanisms and process interactions that lead to heavy tail flood distributions
  • running stochastic numerical experiments for hypothesis testing on emergence of heavy tail flood distributions
  • development and application of simplified hydrological catchment-river network models for investigation of processes and properties controlling heavy tail behaviour of floods
  • presentation of results at national and international scientific conferences
  • publication of results in international scientific journals

Your qualifications:

  • master's degree in hydrology, geoecology, geosciences, mathematics, physics or related discipline
  • profound knowledge of hydrological processes, extreme value statistics and experience in hydrological modelling is an asset
  • excellent programming skills (MATLAB, R, Python, etc.)
  • ability to work independently towards defined goals
  • team player with excellent communication skills
  • proficiency in spoken and written English
Starting date: 1st July 2020
Fixed term: 3 years
Working hours: part-time 75% (currently 29.25 h/week)
Salary: This position has been assessed as being salary group 13 according to "TVöD Bund (Tarifgebiet Ost)". The salary group will be determined by the conditions of the collective wage agreement and the appropriate personal qualifications.
Location: Potsdam

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
  • good public transport connections by being in walking distance of Potsdam main station

Did we pique your interest?

If so, we are looking forward to receiving your application by 14.06.2020 . Please use our online application form only.

If you have any general questions about the application process, please contact Ms Buge at +49 331 288-28787.

Equal opportunities are an integral part of our personnel policy. We therefore very much welcome applications from qualified women. In the case of equal aptitude, severely disabled persons are given preferential consideration in accordance with the Code of Social Law IX.

Your personal data will be treated in line with Art. 6 (1b) and Art. 88 GDPR in conjunction with § 26 BbgDSG during the selection process. After the selection process has been concluded, your application documents will be deleted, in line with data protection regulation.