Team Shrub is recruiting students through the E4 DTP programme at the University of Edinburgh.
Understanding Arctic greening across scales – deadline Thu Jan 09 2020 at 12:00 (UK citizens and residents only)
Plant phenology change in a warming Arctic – deadline Thu Jan 09 2020 at 12:00 (UK citizens and residents only)
Interested students should get in touch to chat about the projects before applying.
Team Shrub is recruiting for a PhD student to study tundra biodiversity from functional traits and spectral signatures of leaves up to the tundra landscape as a part of the Canadian Airborne Biodiversity Observatory project.
Arctic_PhD_opportunity_Mar2018 – still open
This PhD will be co-supervised by Isla Myers-Smith and Mark Vellend and will based in Québec Canada in association with the Canadian Airborne Biodiversity Observatory. The position will stay open until filled. Start dates at any time in 2019 or early 2020 welcomed. To find out more contact Isla and read the advertisement.
I am always interested in chatting with students or postdocs who might want to join the research group. For UK students, check out the E4 NERC Doctoral Training Programme in the School of GeoScience. For Scottish Students, check out the Carnegie PhD Scholarships. For International Students check out funding opportunities through the University of Edinburgh or the Universitas 21 programme. For Postdocs, check out EU funding.
The research topics that I am particularly interested in supervising include:
- Phenology/growth-climate relationships in tundra plant species using ecological monitoring, common garden experiments, dendroecology and/or drones.
- Testing the correspondence between remotely-sensed tundra greening and landscape and plot-level vegetation change using drones, satellite data and ecological monitoring.
- Vegetation-permafrost-climate interactions using drones, historical ecology, repeat photography and ecological monitoring.
- Testing the links between biodiversity change and climate warming or land use change in tundra or global biodiversity datasets.