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MSc by Research in Computational Geoscience

Computational skills are now more in demand than ever, e.g. in high-performance computational (HPC) models, big data, and artificial intelligence (AI).

This MSc by Research in Computational Geoscience offers graduate students opportunities to apply these tools, techniques and models in a range of geoscience topics, including seismology and seismic hazards, plate tectonics, renewable energy and environmental research, and planetary science.

Training aspects of the MSc include working with various staff in Computational Geoscience, weekly seminars on Frontier research in the field, and presentation and writing skills.

Applications are welcome at any time - there is no specific deadline. The list of projects in Earth Sciences is below - a full list of all MSc projects can be found here - MSc by Research All Projects

Research Projects

  • Computing evolutionary history from palaeontological data?
    (Dr Martin Smith)
  • Numerical modelling of the influence of volcanic eruptions on past climates.
    (Prof James Baldini, Prof Jeroen van Hunen)
  • Banana-doughnut kernels for modelling waves in the Earth.
    (Prof Stefan Nielsen, Dr Stefano Giani)
  • Machine learning for laboratory earthquakes: detecting events in highly noisy time sequences.
    (Prof Stefan Nielsen, Dr Stefano Giani)
  • The dynamics of granite-greenstone belts.
    (Prof Jeroen van Hunen, Prof. Mark Allen, Dr Nick Gardiner)
  • Lithosphere-scale inheritance in the continents.
    (Prof Ken McCaffrey, Prof Jeroen van Hunen)
  • Modelling martian flows.
    (Prof. Jim McElwaine, Prof Jeroen van Hunen)
  • Enhancing and analysing geospatial data using machine learning.
    (Dr Andrew Valentine, Dr Lara Kalnins, Dr Richard Walters)
  • Time-series analysis in Cambrian stratigraphy.
    (Dr Martin Smith, Dr Matthias Sinnesael)
  • New techniques for measuring Earth’s free oscillation spectrum.
    (Dr Andrew Valentine, Dr Jennifer Jenkins)
  • Time-series analysis in Cambrian stratigraphy.
    (Dr Martin Smith, Dr Matthias Sinnesael)
  • Stochastic modelling of Lower Carboniferous fluvial systems: the Fell Sandstone Northumberland.
    (Dr Stuart Jones, Prof Jeroen van Hunen)

Entry: via application form here and following successful interview. For subject specific enquiries please contact the project supervisor, and for general postgraduate enquiries contact:

Duration: 12 months [or 24 months part-time]

Entry requirements: 2.1 Bachelor's degree or above (or equivalent) in a relevant subject.

Assessment: research dissertation.