Strathclyde Chancellor's Fellow in Mathematical Modelling and Statistical Analysis of Societal and Policy issues
Strathclyde Global Talent Programme
Be bold. Be innovative. Be a 'Strathclyder'
We are the University of Strathclyde. Our vision is bold and ground breaking, placing us amongst the world's leading international technological universities. We are vibrant, dynamic and passionate about solving the challenges facing society and industry through our cutting-edge, multi-disciplinary research, education and knowledge-exchange with global partners.
Through our Strathclyde Global Talent Programme we will recruit up to 60 outstanding academic colleagues - including Strathclyde Chancellor's Fellows - in areas of strategic importance. One area of importance is Mathematical Modelling and Statistical Analysis of Societal and Policy issues.
This multi-disciplinary research area includes research that addresses major challenges in the key areas of:
Normally appointed at Lecturer level, the Fellowship will last for 5 years during which you will be supported to establish your career as a research leader and achieve rapid career progression. Fellows who meet the criteria for promotion by the end of the 5 year period will be transferred to an open-ended (tenured equivalent) academic appointment. You will also benefit from research portfolio growth, reduced teaching load and administrative duties and a range of support.
- Risk Prediction in Global Health Epidemiology, Digital Health and Pharmaco-Epidemiology: Developing and using appropriate statistical methods is a major challenge when analysing large sets of linked health data. Our focus is on developing new technologies by harnessing this data to prevent disease and manage treatments.
- Modelling of Marine Ecosystems: Stewardship of marine ecosystems whilst enabling sustainable exploitation of the goods and services they provide is a major scientific and policy challenge. Our focus is on development of mathematical models and statistical analyses to reveal how ecosystems respond to climate and human activity and assist policy makers.
- Stochastic Modelling: Involves modelling, analysis and implementation of numerical methods that help us to understand and predict uncertainty in real world scenarios such as those found in the finance industry.
You will hold a PhD, have postdoctoral research experience, an emerging high quality publications record and research interests which align with our strategic focus. You must be able to articulate your research vision.
For further details and to apply to be a 'Strathclyder' in Mathematical Modelling and Statistical Analysis of Societal and Policy issues, impress us with your bold and innovative research plan at:
Closing Date: Sunday 24 September 2017.