research fellow London, England
Job description
Founded in 1894, City, University of London is a global university committed to academic excellence with a focus on business and the professions and an enviable central London location.
City attracts around 20,000 students (over 40% postgraduate level) from more than 150 countries and staff from over 75 countries.
In the last decade, City has almost tripled the proportion of its total academic staff producing world-leading or internationally excellent research. During this period, City has made significant investments in its academic staff, its estate and its infrastructure and continues to work towards realizing its vision of being a leading global university.
Background
The Bayes Business School is among the global elite with an established 50-year reputation for excellence in business research and education. The School holds the 'triple-crown' accreditation from the Association to Advance Collegiate Schools of Business (AACSB), the Association of MBAs (AMBA) and the European Quality Improvement System (EQUIS). The School and its programmes are consistently ranked among the best in the world.
The Faculty of Actuarial Science and Insurance makes use of its position close to the heart of the City of London to enhance its research, teaching and external profile. Its research considers a range of theoretical and applied issues in pensions, life and general insurance, and health care. Particular avenues of research include insurance solvency, mortality and longevity modelling, risk management, pricing in competitive markets, dependency between risks, the impact of fair value accounting on insurance and the funding of social care.
Responsibilities
We are seeking motivated, collaborative and self-starting individual with experience in statistical modelling with emphasis on regression techniques, and computational statistics. The role is a full-time Research Fellow on a fixed-term appointment for 9 months and will be to support the development of a novel methodology for insurance and health care data, to name but a few. The role is a joint venture so the successful candidate will with work under the supervision of a Professor from Bayes Business School, City, University of London and a Professor from University College London.
Person Specification
The successful candidate will have PhD (or about to obtain) in Statistics, Mathematics or a closely related subject. It is essential to have strong statistical background, and R programming skills.
Additional Information
City offers a sector-leading salary, pension scheme and benefits including a comprehensive package of staff training and development.
Closing date for applications: 21st August 2023 at 11:59pm.
City, University of London is committed to promoting equality, diversity and inclusion in all its activities, processes, and culture for our whole community, including staff, students and visitors.
We welcome applications regardless of age, caring responsibilities, disability, gender identity, gender reassignment, marital status, nationality, pregnancy, race and ethnic origin, religion and belief, sex, sexual orientation and socio-economic background. City operates a guaranteed interview scheme for disabled applicants.
The University of business, practice and the professions.
