Assistant Professor in Statistical Data Science

Role:
Assistant Professor in Statistical Data Science

Directorate: School of Mathematical and Computer Sciences

Salary: Grade 8 (£47,389 - £58,225)

Contract Type: Full Time (1

FTE), Open Ended

Rewards and Benefits: 33 days annual leave, plus 9 buildings closed days for all full time staff (Part time workers should pro rata this by their FTE). Use our total rewards calculator:  to see the value of benefits provided by Heriot-Watt University.

The Department of Actuarial Mathematics and Statistics at Heriot-Watt University, Edinburgh, is seeking to enhance and expand its strengths in research and teaching by appointing an Assistant Professor in Statistical Data Science, or related area. This is an open-ended position.

The successful candidate will lead, carry out and publish internationally excellent research, contribute to undergraduate and postgraduate teaching, and play a key role in our joint BSc Data Science programme with Xidian University in Xi’an, China. Teaching in China is delivered in short blocks, offering a distinctive opportunity to gain international teaching experience and contribute to one of our most dynamic global programmes.

Applicants are invited from any area of statistical data science. Those working in statistical learning, actuarial statistics, financial mathematics or relevant areas are particularly welcome to apply. Candidates who would like to work with the University’s multi-disciplinary Global Research Institutes in the areas of either climate change and sustainability, or healthcare are also welcomed.

As a successful candidate, 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 actuarial, statistical, data science 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.

The Department of Actuarial Mathematics and Statistics has a warm, supportive environment with staff from all over the world. The Department is internationally renowned in actuarial science, statistics and statistical data science, applied probability and financial risk, through its world-leading research activities. It offers several high‑quality degree programmes in actuarial science and actuarial management, all of which are accredited by the Institute and Faculty of Actuaries.

As part of the Maxwell Institute, we are ranked 3rd in the UK for the excellence and breadth of our research, in the 2021 UK government’s 5‑yearly assessment of university research.

The Department is looking to further strengthen its statistics, actuarial and financial mathematics group, to support its ambitions to enhance and expand its expertise in these areas. We have close ties and collaborations with researchers at the School of Mathematics at the University of Edinburgh, through the Maxwell Institute, under the “Data and decisions” research theme.

In line with this, the Department is seeking to further its research contributions to the University’s Global Research Institutes (GRIs), particularly the two GRIs concerning climate change and sustainability, and healthcare. The GRIs are a means to address the multi‑disciplinary research challenges in these fields, to connect and focus the research efforts of academics across the University.

In the University structure, the Department sits within the School of Mathematical and Computer Sciences, along with the Department of Mathematics and the Department of Computer Science. The School is a partner in the Maxwell Institute for Mathematical Sciences, an institute that brings together the mathematical research activities at Heriot-Watt University and the University of Edinburgh. The Maxwell Institute is an internationally pre‑eminent, collaborative centre for research and for postgraduate training in…