RiSC+ Research Fellow (2 posts)

The post is a critical role, and as such, successful applicants will have responsibilities in independent research, research planning and reporting and for collaboration with project partners.

The post is part of the ReImagining Supply Chains Network Plus (RiSC+ Network) project, whose main aim is to model and reimagine supply chains across the UK in food, critical minerals and fashion. The RiSC+ Network will offer evidence that exposes vulnerabilities, remedies current risks and demonstrates future potential, ultimately helping to empower the UK to move towards more resilient and secure supply chains.

About the person:

You will be a highly productive, ambitious and collaborative member of the RiSC+ team assisting in the development of research proposals and the planning and delivery of the research activity specifically in Modelling UK Supply Chains as complex systems for resilience.

Essential Criteria:

• Have, or be about to obtain, a relevant PhD in Computer Science, Data Analytics, Business Analytics, Supply chain management, Industrial Engineering, or closely related discipline. (Candidates about to receive their PhD should provide proof that their viva is scheduled within two months)
• Demonstrable experiences in working with datasets (e.g. Bloomberg, Factiva, etc)
• Demonstrable experience in data analytics (e.g., data management, data visualization, predictive analytics, etc.) and machine learning methods (text mining, natural language processing, reinforcement learning etc.)
• Demonstrable experience with supply chain modelling (e.g., system dynamics, fuzzy cognitive mapping) and/or supply chain simulation (e.g., discrete event simulation, agent-based modelling, system dynamics, etc)
• A track record of publications appropriate to stage in career
• Working effectively as part of a research team in the development and promotion of the research theme
• Academic and/or industrial reporting / presentation skills

To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information linked on our website.

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