HIDA funds ten research stays at the GFZ

We welcome ten outstanding young scientists and their exciting projects at GFZ in the framework of the Helmholtz Information and Data Science Academy (HIDA).

“Expanding horizons” is the motto of the exchange programmes of the Helmholtz Information and Data Science Academy (HIDA). Within the framework of the “Visiting Researcher” programme, ten scientists will now be conducting research at the GFZ for three months. We are pleased to welcome the following researchers and their exciting projects at the GFZ:

Wegayehu Asfaw (University of Twente, Netherlands)
with Hui Tang (Section 4.7 “Earth Surface Process Modelling“)
“Machine learning based urban flood susceptibility prediction using multiple remote sensing data”

Claudia Fournier (Universidad Autónoma de Madrid, Spain)
with Mohammadmehdi Saberioon and Sibylle Itzerott (Section 1.4 “Remonte Sensing and Geoinformatics”)
“Towards an early warning of Cyanobacterial Blooms: Application of machine learning and hyperspectral imagery to discriminate changes on cyanobacterial spectral response”

KE HE (University of Bristol, UK)
with Bruno Merz (Section 4.4 “Hydrology”)
“Quantitative analysis of road network components (bridges) vulnerability in flood”

Seyed Mojtaba Hosseini-Nasab (University of Science & Technology of Iran)
with Sven Fuchs (Section 4.8 “Geoenergy”)
“Machine-Learning and Deep Learning Estimation of Sedimentary Thermal Properties for using in Geothermal Energy and Greenhouse Gas Storage”

Ze Jiang (University of New South Wales)
with Bruno Merz (Section 4.4 “Hydrology”)
“A novel method to estimate flood extremes using spectrally transformed climate information”

Tao Liu (University of Arizona, USA)
with Hui Tang (4.7 “Earth Surface Process Modelling“)
“Linking rainfall patterns to post-fire hydrological extrema across scales”

Vishal Mishra (Indian Institute of Technology Roorkee, India)
with Mahdi Motagh (1.4 “Remonte Sensing and Geoinformatics”)
“AI-based Landslide Mapping using Time-Series SAR data in combination with ancillary Geodata for Uttarakhand Himalayas”

Daniela Rodriguez Castro (University of Liège, Belgium)
with Heidi Kreibich (Section 4.4 “Hydrology”)
“Developing a regional flood damage model through machine-learning techniques”

René Steinmann (Institut des Sciences de la Terre, Senegal)
with Fabrice Cotton (Section 2.6 “Seismic Hazard and Risk Dynamics”)
“Exploring continuous seismograms for hidden tectonic signatures with machine learning”

Patricio Yeste (University of Granada, Spain)
with Andreas Güntner (Section 4.4 “Hydrology”)
“Data-driven Advancement of hydrological Modelling with long-term In-Situ Observations (DAMISO)”

Broadening horizons – with HIDA

HIDA is Germany's largest postgraduate training network in the information and data sciences with the aim of promoting knowledge transfer in these fields within the Helmholtz Association and beyond. As the umbrella organisation for the six Helmholtz Information & Data Science Research Schools, HIDA promotes the training of more than 250 doctoral students at the interface between the data sciences and the Helmholtz research fields. HIDA also offers all Helmholtz junior researchers attractive opportunities to train and develop in a broad spectrum of methods and to become part of an international data science network.

In addition, HIDA establishes international and national exchange programmes for data science talents:

With the HIDA Trainee Network, HIDA specifically enables young Helmholtz junior scientists to spend one to three months in research at another Helmholtz Centre and supports them financially.

In parallel, the Helmholtz Visiting Researcher Programme is open to data scientists from other research institutions, industry or abroad. Here, too, HIDA supports one to three-month guest stays at one of the 18 Helmholtz Centres.

Future calls for proposals will be announced via “Projects & International”. For further information on the programmes, please contact the persons listed.


HIDA Liaison Officer

Dr. Jonas Kuppler

Helmholtz Incubator Representative

Head of Department Geoinformation

Priv. Doz. Dr. Wolfgang Graf zu Castell-Rüdenhausen

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