The Helmholtz Centre Potsdam - GFZ German Research Centre for
Geosciences is the national centre for geosphere research. As a
member of the
Helmholtz Association of German Research Centres
we are part of the largest scientific organization in Germany. With
our key mission is to secure a profound understanding of the systems
and processes of solid Earth, to develop strategies and options for
action in addressing global change and its impacts on a regional
level, to understand natural hazards and to minimize associated
risks, to ensure the sustainable provision of energy and raw
materials for a high-tech society and to evaluate the influence of
human activity on system Earth.
Postdoctoral Scientist (f_m_x)
Reference Number 6227
Within the EU HORIZON-INFRA-2021-TECH-01 "DT-GEO" project we aim
to deploy a prototype "Digital Twins" (DT) on geophysical
extremes consisting of interrelated Digital Twin Components
(DTC) dealing with different types of geohazards including
natural and anthropogenic induced earthquakes, volcanoes and
earthquake-landslide triggered tsunamis. Here, we are looking
for a postdoctoral researcher contributing to the development of
the DTC related to Anthropogenic Geophysical Extremes
Forecasting. The successful candidate will use cross-scale
(laboratory / in-situ) and interdisciplinary (seismology /
geomechanics / industry) data to develop probabilistic Machine
Learning (ML) / Artificial Intelligence (AI)-aided models that
help understanding the preparatory process of anomalously large
induced earthquakes related to geothermal energy exploitation.
Use spatio-temporal seismo-mechanical parametric data from
laboratory experiments to develop AI/ML-aided
regressive/classification probabilistic models allowing to
forecast the occurrence and magnitude of (anomalously large)
induced earthquakes in geothermal reservoirs.
Optimize, validate and further develop AI/ML-aided models for
in-situ applications using empirical and synthetic data from a
set of reference geothermal sites and DT reservoir modeling.
Collaborate closely in an interdisciplinary context with other
researchers working on the DTC development, implementing their
feedback into AI/ML forecasting models.
Creation of open-source software.
Present, publish (ISI peer-review) and communicate research
results at scientific meetings and in scholarly journals.
Master's degree and PhD in computer science, geophysics,
mathematics or closely related field
Expertise in several of data science / machine learning /
artificial intelligence / big data analysis / parametric time
series analysis / statistics / seismology
Knowledge on development, validation and optimization of ML/AI
models (regression, classification, CNN/RNN, transform
Programming skills (AI/ML programming frameworks, e.g. pytorch
or tensorflow, Python, MATLAB, SQL)
Fluency in English (written/oral)
Willingness to work in an interdisciplinary and international
Knowledge of HPC, geophysics, seismology, geomechanics or
geothermal systems will be considered a strong additional
As of 1st October 2022
The position is classed as salary group 13 according to
“TVöD Bund (Tarifgebiet Ost)". The salary group is
determined on the basis of the Collective Wage Agreement and
the respective personal qualifications.
Full-time (currently 39 h/week); The position is generally
suitable for part-time work.