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

Job advertisement MSc by Research in Geoscience

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European Geosciences Union

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MSc by Research in Geoscience

Position
MSc by Research in Geoscience

Employer
University College Dublin logo

University College Dublin

The UCD School of Earth Sciences has an internationally recognised reputation for excellence in teaching and research in the areas of Fault Analysis, Geochronology, Petrology and Isotope Geochemistry, Geophysics, Earth Resources, Sustainable Geoenergy, Marine and Earth Surface Processes, Palaeobiology, Geohazards, Quaternary Geoscience and Palaeoclimatology.

iCRAG is the Science Foundation Ireland Research Centre in Applied Geosciences hosted by University College Dublin. The Centre comprises a team of researchers creating solutions for a sustainable society.

Homepage: https://www.ucd.ie/earthsciences/


Location
Dublin, Ireland

Sector
Academic

Relevant divisions
Natural Hazards (NH)
Seismology (SM)

Type
Full time

Level
Student / Graduate / Internship

Salary
22000 € / Year, taxt-free stipend

Preferred education
Undergraduate degree

Application deadline
2 August 2024

Posted
4 July 2024

Job description

The School of Earth Sciences, University College Dublin (UCD, https://www.ucd.ie/earthsciences/) seeks applicants for a MSc by Research position funded through the Geodata Platform of the Irish Centre for Research in Applied Geosciences (iCRAG, https://www.icrag-centre.org/). The successful candidate will be based in The School of Earth Sciences at UCD. They will collaborate with researchers from the School of Computer Sciences, UCD, and Dublin Institute for Advanced Studies (DIAS).

Projects scope:
The interpretation of fluid-related seismicity is of key importance for gaining a better understanding of physical processes beneath volcanoes, hydrothermal areas and for monitoring the development of geothermal reservoirs. It includes both the modelling and inversion of seismic wavefields, where the accuracy and speed are often compromised by large uncertainties in velocity models and lengthy numerical simulations. This project will apply Fourier Neural Operator (FNO), machine learning (ML) based method, to perform both the forward modelling and the source inversion of seismic wavefield. In particular, the ability of FNO to perform the source location and inversion in the presence of the velocity uncertainty will be investigated, as well as the feasibility of the method in generating more accurate velocity models.

The results will be presented at iCRAG meetings, Irish and international conferences (IGRM, EGU).


How to apply

Applications are invited from motivated geophysics, physics, applied mathematics, and computer science graduates with good grasp of basic computer use, familiar with Python, Matlab and Linux operating system, who have interest in machine learning methodology. The position is fully funded for 2 years (stipend + student fees).

To apply send a full CV, contact details for 2 academic referees and a letter of motivation. Applications or requests for further information should be sent to Ivan Lokmer at ivan.lokmer@ucd.ie. The deadline for receipt of applications is August 2nd 2024.