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PhD opportunities with BGS Geomagnetism


We invite applications from qualified and highly motivated students for four fully-funded postgraduate studentships. NERC doctoral training is delivered in partnership with a number of univeristies and other partners. Applications for the projects below close in early January 2021.

Chart showing positional change of magnetic poles

Seeing the Northern Lights at the equator? Predicting the next reversal of Earth's magnetic field

Summary: Apply recent advances in Machine Learning or Deep Learning to the prediction of Earth’s magnetic field. A trained neural network may be able to spot patterns in the data that have so far either not been noticed or have been too complex to interpret; such networks may be able to supply accurate short-time forecasts of the internally generated magnetic field.

University of Leeds

Apply by 5th Jan 2021

Image of thing sheet model

How do the rocks below our feet affect the high voltage power grid? - Making a new 3-D electrical conductivity model of the British Isles based on magnetotelluric data

Summary: New magnetotelluric data will enhance our knowledge of the electrical conductivity structure of the British Isles, enabling better assessment of the threat to infrastructure from space weather.

University of Edinburgh

Apply by 7th Jan 2021

image of a bat

Sonar or Magnetism: exploring bat migration using a data science approach

Summary: The project will use a data science approach to explore how bats use information from Earth's magnetic field to navigate during long-term migration.

University of St. Andrews

Apply by 8th Jan 2021

Sun earth interaction

Real-time Space Weather forecasting using satellite data and machine learning

Summary: There are many potential sources of information which could be used to predict a space weather event including human-made forecasts, magnetic field measurements, solar disc imagery and data from geostationary satellites. We seek to combine such information to improve the real-time automation of forecasts of space weather between 1 to 72 hours ahead of time, aiding efforts to reduce the space weather hazard to ground- and space-based technological infrastructure.

University of Edinburgh

Apply by 10th Jan 2021