Job Opening

PhD opportunity

ETH Zürich in Volcano Seismology

Posted: 11/07/2022

Open Until: 12/20/2022

Applications are solicited for a Ph.D. student at the Swiss Seismological Service (SED) at ETH Zurich, Switzerland, who will play a key role in the SNSF-funded project “Anatomy and dynamics of volcanic systems: insights from a joint seismic tomography and seismicity analysis of Kīlauea Volcano”. The PhD student will focus on applying various seismic imaging techniques to constrain the three-dimensional structure beneath Kilauea Volcano (from mantle to crust) using data recorded by a large N nodal experiment, which the student will help deploy. The PhD candidate will improve the current state of the art of tomographic imaging by designing and implementing a joint inversion scheme for multiple seismic data types (body-wave, ambient noise, receiver function and active source seismology). As part of a highly interdisciplinary team of Earth scientists the successful candidate has the opportunity to also be involved in statistical analyses of earthquake catalogues, and seismicity-based stress change modelling to advance our understanding of how melt moves and provide insights into the stress distribution in the Earth's crust to, in turn, inform hazard scenarios.

The selected Ph.D. student will be based at SED, Zurich, Switzerland under the supervision of Dr. Federica Lanza and Prof. Stefan Wiemer. The student will also benefit from interdisciplinary and interinstitutional collaboration with international experts in volcanology, seismic monitoring/imaging and geomechanical modelling. Project team members include Dr. Ninfa Bennington (USGS Hawaiian Volcano Observatory), Prof. Helen Janiszewski (University of Hawaiʻi at Mānoa), Dr. Men-Andrin Meier (ETH Zürich), and Dr. Antonio Pio Rinaldi (SED, ETH Zürich).

We are looking for highly motivated candidates with a keen interest in volcanic processes, inverse modelling and geophysics. A strong background in mathematics, physics, geophysics, and proficiency with at least one programming language (i.e., MATLAB and/or Python) are required. Previous experience with data inversions, and knowledge of tomography software/package/routines is highly desirable, but not essential. The candidate must have completed a Master degree in Earth Sciences / Physics / Mathematics or a related discipline with a significant geophysical research component at the time of appointment.

If you are interested, we look forward to receiving your online application by December 20th 2022, with the following documents:

* Motivation Letter
* Full CV
* Contact details of two referees

Please note that we exclusively accept applications submitted through our online application portal: A first round of online interviews will take place in January 2023. Applications via email or postal services will not be considered.

Candidates from underrepresented and diverse backgrounds are strongly encouraged to apply.

How to Apply

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