Research Fellow

The Post

To support the investigators of the Leverhulme Trust Research Grant entitled: “Under-Land: Understanding and Visualising Complex Optimisation Landscapes” by developing, leading and delivering innovative research to characterise and understand the search landscape and algorithm dynamics induced by combining complex optimisation problems and methods.

Description of Duties

• To undertake high quality research & scholarship activities required for the Under-Land project
• To contribute to peer-reviewed publications and other outputs, including as lead author
• To contribute to the development of software tools for fitness landscape and search trajectory analysis and visualisation
• To deliver presentations at conferences or exhibit work in other appropriate events
• To contribute to doctoral student supervision, as appropriate to qualifications and experience

Essential 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 output, as expected by the subject area/discipline in terms of types and volume of outputs
• Proven ability to work independently, as well as collaboratively as part of a research team, and proven ability to meet research deadlines

For further information, including a full description of duties, essential criteria and details on how to apply, please see Vacancy details | University of Stirling