PhD Researcher in Induced Seismicity

vor 2 Wochen


Potsdam, Brandenburg, Deutschland Helmholtz Centre Potsdam Vollzeit
Job Reference Number 9630

Predicative Assessment of Induced Seismicity through Hierarchical Physics-Based Machine Learning Methods

We are seeking a highly motivated PhD researcher to join our team at the Helmholtz Centre Potsdam. The successful candidate will work on the development and optimization of hybrid artificial intelligence systems for the predicative assessment of induced seismicity. The project focuses on the use of AI methods in procedures for determining sensitivities, uncertainties, and an optimal experimental design.

Responsibilities:

  • Development of an optimal experimental design strategy for the placement of monitoring systems using machine learning surrogates
  • Determination of the influence of different data sources
  • Further development of the code basis
  • Presentation of the results on conferences and publication in peer-reviewed journals

Requirements:

  • Master degree or equivalent in mathematics, computer science, or geophysics, or related subjects
  • Interest in research and applications in the field of induced seismicity
  • Programming skills in Python, as well as experience in the field of machine learning
  • Good English language skills

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
  • Work place within walking distance of Potsdam main train station, or just a short ride on the shuttle bus


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