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Research Associate: Machine Learning and Data Science for Environmental Science

Loughborough University - School of Science

Location: Loughborough
Salary: £33,966 to £44,263 per annum
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 4th October 2023
Closes: 20th October 2023
Job Ref: REQ231184
 

Start ASAP, full-time, fixed-term contract for 13-15 months.

We are looking for an outstanding Research Fellow with experience in machine learning and data science to work on the multi-disciplinary £2.5 million EPSRC grant “Self-Learning Digital Twins for Sustainable Land”. The project aims to develop innovative solutions, enhanced by machine learning and digital twin, to improve our knowledge and decision-making for sustainable agriculture and GHG emission reduction from livestock and land use.

You will work with leading researchers from three research-intensive universities - Loughborough, Leicester and Bristol, with complementary expertise in AI, environmental research, digital twin, GHG modelling, behavioural and social science.  The Research Associates will explore a wide range of real-world data (e.g. livestock farm/field measurement and/or image data) and develop novel methods and predictive models to infer new hypotheses and support decision-making in net zero scenarios for sustainable agricultural livestock management. The research aims to close a knowledge gap of how the UK can eliminate agriculture GHG emissions and facilitate the digital transformation of environment-friendly agriculture to achieve net zero carbon ambition.

The candidate will be qualified to PhD level (or near completion) or MSc/BSc (1st class) in Computer Science or closely allied disciplines.

Experience in machine learning, data science, and solid programming skills (e.g. Python, C/C++) are essential.

Knowledge in e.g. deep learning, computer vision and hardware experience are desirable.

Please submit your CV and a cover letter with your application. Candidates with MSc/BSc degrees may also submit transcripts as supporting document.

Informal enquiries should be made to the Lead Academic, Professor Baihua Li ( b.li@lboro.ac.uk ).

Closing date for applications is 20/10/2023, please follow the link for further info.

Visa Sponsorship:

For candidates who would require sponsorship to work in the UK to achieve sufficient points under the Points Based Immigration System, it is likely that you will either need to:

Have completed a PhD in a subject relevant to the job.

OR 

Qualify as a “new entrant”. For more information on this please see paragraphs SW 12.1 - SW 12.7 of the Immigration Rules Appendix Skilled Worker. 

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