EPSRC funded PhD opportunities in Data Science (including Environmental applications)

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EPSRC funded PhD opportunities in Data Science (including Environmental applications)

Leeson, Amber
Dear all,

Lancaster Data Science Institute are currently recruiting to several EPSRC funded PhD studentships to begin in October 2017. These projects are fairly flexible (see description below) within the remit of the funding agency which is focused on research in mathematics, computer sciences and engineering. Applicants must also meet the EPSRC eligibility criteria: https://www.epsrc.ac.uk/skills/students/help/eligibility/.

I personally am interested to hear from students interested in developing data science methodologies for application to cryospheric science research, prospective students in this area should contact me directly on [hidden email] prior to making an application. The application deadline is 31st July.

Best wishes,


PhD Studentships in Data Science Foundations and Applications

Lancaster’s Data Science Institute (DSI) is recruiting several PhD students, fully-funded over 3.5 years by EPSRC. DSI is a major multi-disciplinary initiative that brings together over 100 academics to engage with cutting edge Data Science research. We act as a catalyst for the field of Data Science and provide an end-to-end interdisciplinary research capability - from infrastructure and fundamentals through to globally relevant problem domains and the social, legal and ethical issues raised by the use of Data Science. Our work encompasses the foundations of Data Science together with cross-cutting theme areas:

1) environment, resilience and sustainability, 2) health and ageing and 3) data and society.

Students will contribute to one of these core areas of activity and will have the opportunity to join a vibrant data science community.

We seek students interested in the following topics:
  • Developing trusted data systems for citizen science. (Society)
  • Automated decision making for infrastructure and service provision in Transportation and Health Care. (Foundations, Health)
  • Data driven modeling approaches for the natural environment. (Environment, Foundations)
  • New techniques for the analysis of genetic data in relation to human health. (Health)
  • Privacy preserving distributed systems platforms for the IoT (Foundations, Society, Health)
It is expected that candidates will contact DSI (details below) to informally discuss the details of each topic before applying.

Successful candidates will join a thriving interdisciplinary community of researchers and a highly inclusive and stimulating environment for research career development. Students should expect to actively contribute to the strong research profile of the Institute by participating in the development and publication of research outputs. It is not expected that candidates will already possess the complete skill-set required to conduct this research, but they must demonstrate a willingness to learn and to collaborate with others. Desirable experience is dependent on topic but we would encourage applications from students with first degrees in mathematics, computer science, sociology, environmental sciences and genetics.

The studentships are available for an immediate start and comprise fees at the Home/EU rate together with a stipend of £14,553 per annum. The studentships will be supervised by appropriate DSI members. A co-supervisor will also be appointed based on the candidate’s background. Prospective candidates should email a CV, transcript of module marks and a cover letter highlighting their research interests and suitability for these studentships to Amanda Fenwick ([hidden email]) applications should be received no later than 31st July 2017.

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