Graduate Positions Available in Computational Exploration Seismology
The Seismic Laboratory for Imaging and Modelling (SLIM) invites applications for graduate positions (preferably PhD level) with a strong background in computational and mathematical sciences and a keen interest in becoming part of an interdisciplinary team of graduate students. We typically accept between 1-3 positions per year for Sept start dates, although a start date of Jan is also possible.
Who we are
SLIM is one of the leading groups in exploration seismology conducting cutting-edge cross-disciplinary research in seismic data acquisition, processing, imaging, and inversion. We collaborate extensively with industry, through the SINBAD Consortium sponsored by 11 industrial partners, and with other academic institutions through our partnership with the UFRN in Brazil and Imperial College London as part of the International Inversion Initiative. Check our website and mind map for more details and connections between the different components of the research program at SLIM.
Our interdisciplinary approach builds on recent developments in compressive sensing, large-scale optimization, machine learning and full-waveform inversion. The project includes graduate students, several postdocs, and a research associate. Students will be under supervision of Felix J. Herrmann.
The aim of our research program is to design the next-generation scalable 3D seismic imaging technology that addresses fundamental issues related to the quality and cost of seismic data acquisition, the ability to invert exceedingly large seismic data volumes, and the capacity to work with real field datasets. You will be part of a dynamic interdisciplinary international research group and you will present your research at international conferences and to industry. You will be involved in industry collaborations that include internships and projects on real field data. We seek excellence amongst students who have a strong background in the mathematical and computational sciences and who have a keen interest to learn geophysics and to be part of an cross-disciplinary team.
Your profile
The ideal candidates are expected to have a background excelling in mathematics and computational sciences. While a background in geophysics is a plus, it is not necessary and the student with a lesser expertise in geophysics may take courses in this area once enrolled. Because of the industrial involvement there is an expectation that your research will be applied to real 3-D field data sets.
How to apply
SLIM receives many inquiries from potential MSc and PhD students. Our graduate-student positions are highly competitive. Please do not pay fees for formal applications prior to review and feedback from us. SLIM will prescreen applicants and invite suitable candidates to apply. Please forward a cover letter (this may be an email), CV, and unnofficial copies of academic transcripts to slim-assist@eoas.ubc.ca by December 1 of each year, for start date in September.