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  3. PhD Position in Advanced Seismic Imaging and Machine Learning for Earthquake Site Response Studies

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PhD Position in Advanced Seismic Imaging and Machine Learning for Earthquake Site Response Studies

Applications are invited for 1 PhD student to work on a multi-disciplinary research project funded by the Dutch Research Council (NWO) as part of the DeepNL …

ongeveer 2 maanden geleden

Arbeidsvoorwaarden

Standplaats:
Mekelweg, Delft, Zuid-Holland
Dienstverband:
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
38 - 40 uur
Salarisindicatie:
€ 2395 - € 3061 per maand
Opleidingsniveau:
WO

Functieomschrijving

Applications are invited for 1 PhD student to work on a multi-disciplinary research project funded by the Dutch Research Council (NWO) as part of the DeepNL research initiative. This PhD position will be in the Section of Applied Geophysics and Petrophysics; however, the student will also work closely with the Section of Geoengineering. Using active and passive seismic data and advanced seismic imaging schemes, the innovative research will provide a 3D, detailed characterization of the shallow subsurface that complements discrete cone penetration test (CPT) data. The obtained correlation between seismic data and an extensive CPT database will be used to develop a machine-learning tool for generating additional geotechnical datasets for Groningen and elsewhere. The final goal is to facilitate a more realistic earthquake site-response analysis through incorporation of 3D heterogeneities in soils.

The PhD student will be responsible for conducting 3D-seismic synthetic tests, innovative field experiments, and full-waveform inversion to obtain high-resolution, near-surface velocity fields, capturing soil lateral variability. The information on soil lateral variability will facilitate improved site response analysis in the SOFTTOP project (a collaborative project within DeepNL). In particular, the PhD student will be responsible for developing a new machine-learning tool to establish seismic-CPT correlations for predicting CPT data at new locations.

Department
The Department of Geoscience and Engineering encompasses 5 sections: Applied Geology; Applied Geophysics and Petrophysics; Geoengineering; Resource Engineering; and Reservoir Engineering. The present PhD project will be a collaboration between the Sections of Applied Geophysics and Petrophysics and Geoengineering.

The Section of Applied Geophysics and Petrophysics executes a programme of fundamental and applied scientific research and education in exploration, engineering and environmental geophysics and petrophysics. The Section has 9 full-time and 4 part-time academic staff, and 42 PhD and postdoctoral researchers. The Section actively contributes to the IDEA League Joint Master's Programme in Applied Geophysics, together with ETH Zurich and RWTH Aachen University. The Section has good computation facilities and advanced infrastructure and instruments for field and laboratory experimental studies. The Section of Geoengineering has 13 full-time and 6 part-time academic staff, and 35 PhD and Post-Doctoral researchers. Areas of expertise include soil mechanics, dykes and embankments, foundation engineering, underground space technology, engineering geology, and geo-environmental engineering. Both Sections have very good links with industry.

Functie-eisen

Applicants should possess a very good first degree in Applied Geophysics and in-depth training in seismic imaging. Demonstrated aptitude for seismic data processing and an affinity for computer programming are essential. This includes skill in implementing/adapting advanced inversion and imaging algorithms and working with different kinds of datasets. Aside from seismic imaging, it is essential that the student is interested in, and has a strong aptitude for, statistical/probabilistic methods. The successful candidate should be able to design and perform seismic field experiments. Communication skills are important; applicants should have a high level of proficiency in written and spoken English. The successful candidate is expected to cooperate closely with other members of the DeepNL research team and with colleagues from both geophysics and geotechnical engineering backgrounds.

Conditions

TU Delft offers PhD-candidates a 4-year contract, with an official go/no go progress assessment after one year. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2395 per month in the first year to € 3061 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

The TU Delft offers a customisable compensation package, discounts on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation.

Additional information

For additonal information (other than application procedure), please contact Ranajit Ghose (r.ghose@tudelft.nl) or Michael Hicks (M.A.Hicks@tudelft.nl).