PhD Position Advanced Stochastic Seismic Inversion and Testing to Capture Variability of Damping Ratio in Soil for Accurate Site-response Analysis

23 Feb 2024
Job Information

Organisation/Company

Delft University of Technology (TU Delft)

Research Field

Physics

Researcher Profile

First Stage Researcher (R1)

Country

Netherlands

Application Deadline

30 Apr 2024 - 21:59 (UTC)

Type of Contract

Temporary

Job Status

Not Applicable

Hours Per Week

38.0

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The PhD position will be in the Section of Applied Geophysics and Petrophysics and is part of a multi-disciplinary research project funded by the Dutch Research Council (NWO) as part of the DeepNL research initiative Call 2b (DeepNL ).

As a PhD candidate you will be working in the geophysics group and will develop advanced seismic data-inversion schemes to obtain spatially varying, reliable damping-ratio estimates in soil, taking also into account measurement errors. This research will build on ongoing work on full-waveform inversion and machine learning for laterally varying, high-resolution shear-wave velocity and geotechnical information. The final goal is to facilitate a more realistic earthquake site-response analysis through incorporation of 3D heterogeneities in soils. You will interact closely with the other PhD candidate to achieve this goal. See our other vacancy as well PhD Position Nonlinear-dynamics-based Methodology for Improved Interpretation of Geotechnical Experimental Data for accurate Site-response Studies .

You will be responsible for developing a novel stochastic inversion scheme for damping ratio estimation from surface-wave dispersion data together with input from full-waveform inversion, testing the methodology on integrated active- and virtual-source seismic data, performing field tests, and estimating uncertainties. You will benefit from the ongoing 3DSOIL project and the recently completed SOFTTOP project (collaborative projects within DeepNL)

Requirements
Specific Requirements

The successful applicant should possess a very good first degree in Applied Geophysics, Civil Engineering or a related field, a strong background in mathematics, and training in seismic inversion/imaging. An affinity for computer programming is essential. This includes skill in implementing/adapting advanced inversion and imaging algorithms and working with different kinds of datasets. Aside from seismic imaging and inversion, it is essential that the student is interested in and has a strong aptitude for statistical/probabilistic methods. Also affinity to do both field- and lab-based research is an essential requirement. The successful candidate is expected to cooperate closely with other members of the DeepNL research team and with colleagues from both geophysics and dynamics of solids and structures backgrounds.

Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements .

Additional Information
Benefits

Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2770 per month in the first year to € 3539 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 a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants, TU Delft has the Coming to Delft Service . This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network.

Selection process

Are you interested in this vacancy? Please apply no later than 30 April 2024 via the application button and upload:

• A letter of application
• A detailed CV
• Proof of English language proficiency
• Abstract of your MSc thesis (1 page)
• The names and contact details of 2 referees.

Please note:

• You can apply online. We will not process applications sent by email and/or post.
• A pre-Employment screening can be part of the selection procedure.
• Please do not contact us for unsolicited services.

Additional comments

For additonal information (other than application procedure), please contact Ranajit Ghose ([email protected] ) or Karel van Dalen ([email protected] ).

Website for additional job details

https://www.academictransfer.com/338158/

Work Location(s)

Number of offers available

1

Company/Institute

Delft University of Technology

Country

Netherlands

City

Delft

Postal Code

2628 CD

Street

Mekelweg 2

Geofield

Where to apply

Website

https://www.academictransfer.com/en/338158/phd-position-advanced-stochastic-sei…

Contact

City

Delft

Website

http://www.tudelft.nl/

Street

Mekelweg 2

Postal Code

2628 CD

STATUS: EXPIRED