We are looking for a research intern to work on a recently funded project concerning soil health data. The intern will work with lead investigators Dr Stuart King and Prof Jonathan Hillier to investigate the application of machine learning methods to recent soil health datasets.
The opportunity
This post arises from a recent AI-Bio grant and will kick-start collaboration between the lead investigators who are seeking to develop AI tools for applications in sustainable agriculture. A key issue where these new tools may be able to provide new insight is in soil management. Given the complex and dynamic nature of soils, traditional inferential approaches or dynamic simulation models, based on hypothesised relationships from limited controlled experiments poorly explain variance in out-of-sample studies. The project will seek to address this problem directly by subjecting available data to machine learning approaches.
Your skills and attributes for success
- Undergraduate level experience in applying machine learning or statistical models
- High level of numeracy
- Excellent data analysis skills.
- Willingness to learn new skills required for successful undertaking of the role.
- Excellent written and oral communication skills in English
The School of Mathematics is dedicated to valuing and celebrating diversity and ensuring equality of opportunity for all its members. Therefore, we encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups.
As a valued member of our team you can expect
- A competitive salary.
- An exciting, positive, creative, challenging and rewarding place to work.
- To be part of a diverse and vibrant international community.
- Comprehensive Staff Benefits, such as a generous holiday entitlement, competitive pension schemes, staff discounts, and family-friendly initiatives. Check out the full list on our staff benefits page (opens in a new tab) and use our reward calculator to discover the total value of your pay and benefits.
Championing equality, diversity and inclusion
The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.
Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages (opens new browser tab).
The University is unable to sponsor the employment of international workers in this role. International applicants will therefore be unable to apply for and secure a Skilled Worker visa. They will only be able to take up this role if they can demonstrate an alternative right to work in the UK.
Key dates to note
The closing date for applications is 30 April 2025
Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.
Interviews will be held in w/c 5 May 2025
