Chancellor’s Fellowships in Data-Driven Innovation
Space & Satellite Analysis – School of GeoSciences
To support the next generation of academic research and innovation leaders in data sciences and artificial intelligence and drive the outcomes of the City Deal opportunity, the College of Science and Engineering proposes to appoint up to 10 new Chancellor’s Fellows in Data Driven Innovation as part of a cohort of 30 across the University. These prestigious awards are aimed at early career individuals of the highest potential and attainment who have begun to establish a reputation for the highest quality research at the forefront of their discipline and who have a commitment to learning and teaching at university level.
The Space & Satellite theme is one of three being led by the College of Science and Engineering and the successful candidate will be hosted in one of the College’s Schools and allied to the Bayes Centre.
Before application, candidates may wish to make contact with one or more of the academics listed below to discuss opportunities and research synergies.
The School of GeoSciences is an innovator and world-leader in the broad area of Earth observation and remote sensing and ‘Geo Data Science’ underpins many of its key interdisciplinary research themes (for example sustainable forests, landscapes & oceans; natural hazards; health, environment & inequality; and energy & society). The School is also committed, as part of City Deal, to training future generations of Geo Data Scientists. The School welcomes applications from scientists whose research can contribute or enhance any of its research themes (https://www.geos.ed.ac.uk/geosciences/research).
Initial enquiries about these fellowships should be directed to Prof. Iain Woodhouse (firstname.lastname@example.org). Those interested in the opportunity are also encouraged to contact academic staff with expertise in GeoScience via Space and Satellites such as those listed below:
- Noel Gourmelen – (remote sensing of the cryosphere)
- Ian Main – (applications to natural hazards and risk; innovative data-analysis)
- Paul Palmer – (measurement and modelling of atmospheric chemistry, satellite remote sensing)
- Kathy Whaler – (studies of geomagnetism from Space)
- Mat Williams – (land use and biomass monitoring; vegetation processes; carbon cycling)
- Iain Woodhouse – (radar remote sensing)