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Bayi Glacier in Qilian Mountain, China (Credit: Xiaoming Wang, distributed via imaggeo.egu.eu)

Job advertisement Lead AI postdoctoral research fellow position within Earthquake Seismology

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Lead AI postdoctoral research fellow position within Earthquake Seismology

Position
Lead AI postdoctoral research fellow position within Earthquake Seismology

Employer
University of Bergen logo

University of Bergen

LEAD AI is the University of Bergen’s career and mobility fellowship program for training 19 postdoctoral fellows in artificial intelligence.

The program has received funding from the European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101126560.

Homepage: https://www.uib.no/en


Location
Bergen, Norway

Sector
Academic

Relevant division
Seismology (SM)

Type
Contract

Level
Experienced

Salary
Open

Required education
PhD

Application deadline
25 November 2024

Posted
4 October 2024

Job description

At the Department of Earth Science, University of Bergen, there is a vacancy for a postdoctoral research fellow position within Earthquake Seismology.

The position is for a fixed term of 3 years and is associated with the Norwegian National Seismic Network.

About the host research group and research theme

The Norwegian National Seismic Network operates a network of more than 40 seismic stations across Norway to monitor earthquake activity in the region. The data are used in various research activities to better understand the distribution and nature of earthquakes. The coastal areas of both southern and northern Norway are the most active on the mainland. Study of earthquakes offshore southern Norway is important due to the vicinity to hydrocarbon extraction, and planned CO2 injection. Northern Norway is known for its intraplate swarm activity that has been studied in detail over recent years.

The Arctic Archipelago of Svalbard presents an active intraplate area that has been investigated to understand large earthquakes within the regional tectonic context. Offshore, the Mid-Atlantic ridge plate boundary falls into the region of monitoring interest, producing the largest earthquakes close to Norway. Furthermore, the network has monitoring stations on the volcanically active island of Jan Mayen. In recent years, the research group linked to the seismic network has collected data from ocean bottom seismographs and temporary land deployments from various areas to address specific research questions. While the group has started to apply machine learning tools to a number of data sets, the seismic network still operates based on conventional tools.

The goals of this position are to (1) develop machine learning based approaches to characterize seismicity, (2) apply these to different datasets in Norway to advance the understanding of earthquake distribution and causes, and (3) fully implement machine learning into the seismic network processing workflow.
About the LEAD AI fellowship programme

LEAD AI is the University of Bergen’s career and mobility fellowship program for training 19 postdoctoral fellows in artificial intelligence.

The program has received funding from the European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101126560.

The LEAD AI programme offers high-quality inter- and transdisciplinary research and training opportunities in the area of artificial intelligence supported by a dedicated supervision and mentoring, encouraging inter-sectoral exposure, in particular

academic freedom
benefits from knowledge and skills transfer between disciplines, organisations and sectors
structured, skill-based training
high-quality working conditions
personal career support
equal opportunities
For more information see the LEAD AI webpage https://www.uib.no/en/leadai