The Department of Actuarial Mathematics and Statistics at Heriot-Watt University, Edinburgh, is seeking to enhance and expand its strengths in research and teaching in statistics by appointing an Assistant Professor in Statistics.
Applicants are invited from any area of the statistical sciences. Those working in Bayesian statistics, applied statistics, statistical learning, actuarial statistics or epidemiology are particularly welcome to apply. We are particularly interested in candidates who would work with the University’s multi-disciplinary Global Research Institutes in the areas of climate change and sustainability, and healthcare.
As the successful candidate, you will lead, carry out and publish internationally excellent research in your field. You will have a strong track record of research in statistics or statistical data science which includes fields such as applied statistics, Bayesian statistics, statistical learning, actuarial statistics, epidemiology, computational statistics and statistical methodology.
You will either be established or have the potential to establish yourself as an international research leader, with strong postdoctoral research experience and the ambition to build a world-class academic group.
You will have the relevant experience to engage and innovate in our specialised statistical data science, actuarial and financial teaching programmes.
The School strongly encourages and supports the generation of industry impact from research, and we welcome candidates with experience of statistical work with industrial partners or working with the actuarial/insurance/financial industry.
As the successful candidate, you will lead, carry out and publish internationally excellent research in your field. You will have a strong track record of research in statistics - which may also include actuarial data science, financial risk and climate change risk - as demonstrated through publications, citations, external invitations and research funding. You will be established as an international research leader, with the ambition to build a world-class academic group and have the experience or potential to supervise PhD students and post-doctoral researchers.
You will have the relevant experience to engage and innovate in our specialised statistical data science, actuarial and financial degree programmes. You will have the drive and commitment to contribute to the expansion of our successful postgraduate programmes.