4-year PhD position in Quantitative Seismic Geomorphology and Stratigraphic Forward Modelling
The Department of Earth and Environmental Sciences at Dalhousie University (Halifax, Canada) invites applications for a 4-year PhD position in Quantitative Seismic Geomorphology and Stratigraphic Forward Modelling. The successful applicant will be awarded a competitive PhD funding package which includes tuition fees, stipend for living expenses, and support for travelling to conferences, field trips, and training.
The proposed project is at the interface between seismic geomorphology, process sedimentology, and numerical modelling of depositional systems, with the punchline to investigate how external controls affect the evolution of deep-water systems in a tectonically active area. There will be emphasis on predicting sand distribution and connectivity where gravity-driven flows interact with deep-water oceanographic currents.
The project combines 3D seismic data and exploration wells from the continental margin of the western Indian Ocean with stratigraphic modelling to:
These are overarching goals that span from the long term evolution of the margin to the detailed characterisation of deep-water deposits, and we ask the candidate to present, in the cover letter, how she/he would develop the project and which methodologies they might envision using in order to achieve such goals during the 4 years.
The candidates will receive training in geophysics, sedimentary geology, and numerical modelling, will have the opportunity to join field excursions, and will present key findings at international research conferences. The results of the PhD will be published in high-impact journals. The Department of Earth and Environmental Sciences requires graduate students to take ERTH 6300 (Research Skills) and ERTH 6350 (Quantitative Methods in Earth Sciences).
Applicants must have a MSc degree in Geology, Geophysics, or a related field with a cumulative GPA of 4.0 ("A" equivalent), and experience in the interpretation of 3D seismic data (including seismic inversion from reflection amplitude to lithofacies, depofacies, phi, and k) and/or stratigraphic forward modelling (knowledge of programming is preferred). Priority will be given to candidates with expertise in Schlumberger Petrel, Eliis PaleoScan, and Beicip-Franlab models (DionisosFlow).
International candidates must have satisfactory results from a standard language test, such as TOEFL (minimum score of 92 for the internet-based test); MELAB (90 minimum score) or IELTS (7.0 minimum score).
The supervisory team is composed by Dr Vittorio Maselli (PI, Dalhousie University), Dr Stephen Hubbard (University of Calgary), Dr David Iacopini (University of Naples), and Dr Hawie Nicolas (Beicip-Franlab).
Informal inquiries can be made to email@example.com with a copy of the CV. For full application please include the following: CV, cover letter, academic transcripts, and English certificate if already available
Deadline for the application is 31 July 2020, and the successful candidate is expected to start on 1 September 2020.
Dalhousie University is Atlantic Canada's leading research-intensive University and a driver of the region's intellectual, social and economic development. Located in the heart of Halifax, Nova Scotia, with an Agricultural Campus in Truro/Bible Hill, Dalhousie is a truly national and international university, with more than half of our 18,800 students coming from outside of the province. Our 6,000 faculty and staff foster a vibrant, purpose?driven community, that's celebrating 200 years of academic excellence in 2018.
The Department of Earth and Environmental Sciences has a long history of demonstrated excellence in Earth Science research and teaching, with a current emphasis on marine geology/geophysics, petroleum systems, tectonics, high temperature and experimental geochemistry/petrology and earth surface processes. It hosts various analytical and experimental facilities including the newly-established National Seismic Imaging Facility, and recently upgraded and expanded facilities for cosmogenic isotope sample preparation.