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A leading university is hiring a Graduate Teaching Assistant (GTA) for a funded PhD program in Computer Science. This position includes substantial teaching experience and research, focusing on the impact of atmospheric turbulence on animal movements, offering an attractive salary and benefits package.
Join to apply for the Graduate Teaching Assistant (GTA) - Bird Flights: Flying Probes of Atmospheric Turbulence role at targetjobs UK
3 days ago Be among the first 25 applicants
Join to apply for the Graduate Teaching Assistant (GTA) - Bird Flights: Flying Probes of Atmospheric Turbulence role at targetjobs UK
We are pleased to announce a fantastic opportunity for ambitious computer scientists to join our Computer Science Graduate Teaching Assistant (GTA) Programme!
HOW DOES IT WORK?
Candidates will study for a four-year, full-time funded PhD (3 quarters of your time) whilst working and receiving a salary to gain valuable teaching experience (1 quarter of your time). Candidates will receive a salary and stipend package that exceeds the standard UKRI stipend for a full-time PhD.
Home/RoI Students will have their PhD fees waived. International students will receive a fee waiver equivalent to the Home/RoI fee and will be expected to fund the difference between the international fee and the Home/RoI fee. There will be a package of support to enable you to develop a research career in this exciting field.
PhD Topic: Bird Flights: Flying Probes of Atmospheric Turbulence
Vast amounts of animal tracking data are now being collected at global scales. Recent work has shown that the fine-scale movements of birds vary in relation to atmospheric turbulence. Animal-attached sensors could therefore be used to probe atmospheric conditions, providing measurements in locations and scenarios that are inaccessible to traditional meteorological probes. It can also teach us about their physiological state. This project will use a range of methods including causal inference, signal processing and machine learning to investigate whether and how acceleration data from flying birds can be used to characterise changing levels of atmospheric turbulence.
OBJECTIVES
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