|Salary:||£42,149 to £60,022 (salary dependent on experience and qualifications)|
|Placed On:||27th May 2022|
|Closes:||3rd July 2022|
Location: Based at Riccarton Campus in Edinburgh
Heriot-Watt University has an ambitious programme of recruitment of emerging and established research talent in its areas of established excellence and in its frontier research areas, including the mathematical sciences.
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, financial risk, applied probability, statistics and statistical data science through its world-leading research activities. The Department sits within the School of Mathematical and Computer Sciences, along with the Department of Mathematics and the Department of Computer Science.
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:
You will be established (a requirement to be considered at Associate Professor level) 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, financial and statistical data science teaching programmes and the enthusiasm to contribute to the expansion of our successful postgraduate programmes and continual improvement of our undergraduate programmes.
The School strongly encourages and supports the generation of industry impact from research, and we welcome candidates with experience of working with the actuarial/insurance/finance industry or of statistical work with industrial partners.
Please contact Yvonne Constantino, firstname.lastname@example.org should you have any difficulties applying or have any questions.
For more information about the role and to apply, please visit; https://enzj.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/job/2153/?utm_medium=jobshare
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