Main supervisor: Dr Danielle Wain, University of Bath
Co-supervisor: Dr Ian Jones, Centre for Ecology and Hydrology
Co-supervisor: Dr Pejman Iravani, University of Bath
Applications are invited for a PhD studentship at the University of Bath (UK) starting October 2016 for a project applying machine learning methods to large lake datasets to: (1) identify mixing events and their drivers, (2) determine internal wave characteristics under varying conditions, and (3) statistically optimise lake parameters to improve in situ high resolution lake data analysis. Answering these issues will help us better understand the physical drivers of water quality in lakes and reservoirs, environments upon which society depends for many key ecosystem services.
The project will involve utilising computer programming techniques for the synthesis and analysis of data from lakes in the UK and the US, as well as collaborating with lake researchers from mainland Europe. Applicants should have a degree in an environment-related science with demonstrated quantitative skills or a background in engineering, maths, physics, or computer science with interest in applying their knowledge to the environment. Programming experience and strong English communication abilities required. Applicants for a studentship must have obtained, or be about to obtain, a 2:1 class degree or equivalent, although some exceptions may apply.
The Department of Architecture & Civil Engineering at Bath is ranked No. 2 in the UK. The university is located in southwest England in idyllic Bath, a UNESCO World Heritage Site known for its ancient roman baths, gothic abbey, and Georgian architecture. CEH is the UK’s Centre of Excellence for integrated research in terrestrial and freshwater ecosystems and their interaction with the atmosphere.
The final deadline is 29 January 2016, but interested students should contact Dr. Danielle Wain at [email protected]
by 15 January 2016 to discuss the application.
Funding is for full time study only. It provides UK/EU tuition fees, and an annual stipend of approximately £14,000/year for living expenses. Applicants must be classed as UK/EU for tuition fee purposes. Applicants who are classed as International for tuition fee purposes are not eligible for funding.