Knowledge Exchange Associate - Part-time (633965)

To undertake knowledge exchange projects under the general guidance of the Head of Department; to establish a personal knowledge exchange portfolio and plan knowledge exchange proposals, with assistance from senior colleagues as required; to engage where required in relevant research and teaching; and input to administrative activities.

FTE: 0.5 (17.5 hours/week)
Term: Open Contract

The Department of Mathematics and Statistics is a vibrant department which has strong research expertise in Applied Analysis, Continuum Mechanics and Industrial Mathematics, Numerical Analysis, Marine Population Modelling, Mathematical Biology, Epidemiology and Statistical Informatics, Applied Statistics and Stochastic Analysis. We have a distinguished track record of conducting high quality research in mathematics and statistics applied to a wide range of real-world problems. The Department has also developed distinctive teaching modules for our own degree programmes, as well as for scientists and engineers across the University, at both undergraduate and postgraduate level.

As a Knowledge Exchange Associate, you will develop knowledge exchange objectives and proposals for own or joint knowledge exchange activities and play a lead role in relation to projects or part of a broader project, with guidance from senior colleagues as required. You will conduct individual and/or collaborative knowledge exchange activities, including determining appropriate methods and contributing to the development of new knowledge exchange methods, continually reflecting on practice/methodology to enhance delivery to partners. 

To be considered for the role, you will have a good honours degree and PhD / higher degree (or equivalent professional experience) in mathematics, statistics or an appropriate discipline. You will have sufficient breadth or depth of knowledge in mathematics or statistics to contribute to knowledge exchange programmes and to the development of knowledge exchange activities. You will have the ability to conduct individual knowledge exchange projects, work directly and independently with clients, and to prepare new knowledge exchange proposals.

Applications are welcomed from candidates with experience of relevant student supervision and teaching activities.

Informal enquiries about the post can be directed to Dr David Young, Reader (david.young@strath.ac.uk). 

Formal interviews for this post will be held on 29 August 2024. 

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