Cohort 1 students (2025/2026)

  • Anya Gray (Training Committee student rep)

    University of Glasgow
    PhD Title: Building the Next Generation of Numerical Landscape and Species Evolvers to Quantify Geo-Biological Linkages in Changing Environments
  • Malcolm Bailey

    University of Glasgow
    PhD Title: Multi-scale modelling of volcanoes and their deep magmatic roots: phase-field modelling of fluid exsolution during magma solidification
  • Charlie Higgs

    Lancaster University
    PhD Title: How will climate change affect stratospheric ozone recovery in the Arctic?
  • Aidan Wansbrough

    University of Glasgow
    PhD Title: Exploring Hybrid Flood modelling leveraging GPU/Exascale computing
  • Alasdair Holmes

    University of Edinburgh
    PhD Title: Exploring solver approaches for climate and fluid simulations
  • Chaim Elchik

    Lancaster University
    PhD Title: Decoding biological colour: leveraging AI to analyse big data on animal images in a changing world
  • Archie Dunbar

    Lancaster University
    PhD Title: Uncertainty determination and visualisation of volcanic co-PDC ash plume dispersal 
  • Rory Yeung

    Lancaster University
    PhD Title: Mitigating geohazards through coupled multiphysics modelling and uncertainty analysis
  • Doris Kyerewaa Akoto

    University of Glasgow
    PhD Title: Downscaling and Prediction of Rainfall Extremes from Climate Model Outputs (RainX)
  • Sam Jackson

    University of Edinburgh
    PhD Title: GPU-Accelerated High-Fidelity Hydrodynamics Modelling for Tidal Energy Resource and Environmental Impact Assessment
  • Alasdair Campbell

    University of Glasgow
    PhD Title: Scalable approaches to mathematical modelling and uncertainty quantification in heterogeneous peatlands
  • Lucy Heaney

    University of Glasgow
    PhD Title: Multi-scale modelling of volcanoes and their deep magmatic roots: fluid release from subvolcanic magma bodies
  • Fay Bennedik

    Lancaster University
    PhD Title: Integrated sensor technologies, AI and statistical modelling to improve estimation of animal population sizes