Assistant Professor in Statistics
Assistant Professor in Statistics
Heriot-Watt University - School of Mathematical and Computer Sciences
Edinburgh, United Kingdom
Detailed Description
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.
Key Duties and Responsibilities
The post-holder will be required to:
- Lead, carry out and publish internationally excellent research in statistics, statistical data science, or a related field;
- Apply for research funding through either the submission of high-quality grant proposals or funding from industry, with the goal of building a research group;
- Undertake knowledge exchange activities to promote and disseminate your research;
- Carry out such administrative and recruitment activities as may be required to achieve these aims;
- Develop and deliver innovative teaching in statistics and related fields at undergraduate and postgraduate level;
- Be responsible to the Head of Department for performing the activities listed above in a way that will maintain and enhance the School’s reputation for excellence.
- The successful candidate will be based at our Edinburgh campus in the UK. We encourage applications from under-represented groups. We welcome requests for flexible working arrangements and normally accommodate them.
Education, Qualifications and Experience
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.
Essential Criteria
- PhD in statistics, or a related field.
- Track-record of internationally-leading research with internationally excellent publications.
- Skills to teach a range of lecture courses in the Department, as well as supervise MSc dissertations.
- Excellent interpersonal and teamwork skills.
- Potential, ambition and plans to obtain research funding.
- Ability to supervise successfully PhD students.
Desirable Criteria
- Track record of obtaining research funding.
- Track record of successful supervision of PhD students and/or post-doctoral researchers.
- Experience of statistical work with industrial partners.
- Potential to provide leadership in the development and implementation of a research strategy within the Department of Actuarial Mathematics and Statistics.
- Potential to provide leadership in the planning, organisation and development of learning and teaching activities in the Department.
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