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Criteria A doctoral degree, or close to effective completion, in a relevant topic Relevant experience in optimisation, evolutionary computation or machine learning Contributions to peer-reviewed written
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degree of computer literacy and experience with databases Ability to work individually and as part of a team A high level of self-motivation Additional Information Part time (60% FTE) Open ended Grade 9
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judgement and initiative to solve problems Evidence of strong interpersonal skills Evidence of being self-motivated with a “can do” style and approach Skills & Attributes Computer literate – minimum of email
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enriches the work, learning and research experiences of our entire campus and community, and we encourage applications from suitably experienced individuals that reflect the breadth and diversity
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for sponsorship depending on candidate circumstances under SOC code 2131. The University of Stirling recognises that a diverse workforce benefits and enriches the work, learning and research experiences
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depending on candidate circumstances under SOC code 6129. The University of Stirling recognises that a diverse workforce benefits and enriches the work, learning and research experiences of the entire campus
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UK. The University of Stirling recognises that a diverse workforce benefits and enriches the work, learning and research experiences of the entire campus and greater community. We are committed
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sponsorship depending on candidate circumstances under SOC code 3543. Internal secondments welcome. The University of Stirling recognises that a diverse workforce benefits and enriches the work, learning and
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specific aspects of work within own area Support student learning and/or provide user support through the demonstration of straightforward equipment and techniques People Management May provide informal
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, learning and research experiences of the entire campus and greater community. We are committed to removing barriers and welcome applications from those who would contribute to further diversification of our