Professor in Actuarial Mathematics and Statistics
Job Fit Check
Base Career helps you apply smarter for this job.
Key skills for this role
About the Role
Heriot-Watt University Dubai seeks a Professor in Actuarial Mathematics and Statistics on a 0.4 FTE basis to provide academic leadership and strategic direction. The role involves teaching, research, mentoring, and strengthening industry links.
Key Skills for This Role
Responsibilities
- Provide academic leadership in Actuarial Mathematics and Statistics at the Dubai Campus
- Deliver and assess undergraduate courses in actuarial mathematics and statistics
- Supervise undergraduate and postgraduate student projects and dissertations
- Develop and lead internationally recognised research and scholarly activities
- Mentor and support academic colleagues
- Support professional accreditation activities with IFoA, SOA, and RSS
- Contribute to programme leadership, curriculum development and quality assurance
- Support student recruitment, admissions, outreach and employer engagement
- Strengthen collaborations with industry, government and professional organisations
- Contribute to the strategic growth and reputation of the School and University
Requirements
- Strong research profile in actuarial mathematics and statistics
- Experience in teaching and curriculum development at undergraduate and postgraduate levels
- Ability to provide academic leadership and strategic direction
- Experience with professional accreditation bodies such as IFoA, SOA, RSS
- Administrative experience appropriate to a professorial appointment
Full Job Posting
Overview
- The School of Mathematical and Computer Sciences seeks a Professor in Actuarial Mathematics and Statistics.
- We invite applications from senior academics working in the United Arab Emirates.
- The School has been delivering undergraduate and postgraduate programmes at our Dubai Campus since 2005.
- The BSc Actuarial Data Science programme is accredited by IFoA, SOA (UCAP AC), and RSS.
Summary of Possible Key Duties and Responsibilities
- Provide academic leadership in Actuarial Mathematics and Statistics at the Dubai Campus.
- The delivery and assessment of undergraduate courses in actuarial mathematics and statistics, and related areas, commensurate with a 0.4 FTE appointment.
- Supervise undergraduate and postgraduate student projects and dissertations.
- Develop and lead internationally recognised research and scholarly activities.
- Mentor and support academic colleagues, contributing to staff development and academic quality enhancement.
- Support professional accreditation activities with bodies such as the IFoA, SOA, and RSS.
- Contribute to programme leadership, curriculum development and quality assurance activities.
- Support student recruitment, admissions, outreach and employer engagement activities.
- Strengthen collaborations with industry, government and professional organisations across the UAE and wider MENA region.
- Contribute to the strategic growth and reputation of the School and University.
- Undertake administrative and leadership responsibilities appropriate to a professorial appointment and proportionate to the 0.4 FTE workload.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Heriot Watt University
Assistant Professor in Architecture
United Arab Emirates, UAE
Role Title: Assistant Professor in Architecture Grade: G7 Salary: AED 280,000 per annum including accommodation allowance (Depending on Experience) FTE and working pattern: Full...
Assistant Professor in Architectural Engineering
United Arab Emirates, UAE
The School of Energy, Geoscience, Infrastructure and Society is one of the UK s leaders for multidisciplinary research and teaching in areas critical to economic development and...
Postdoctoral Researcher
United Arab Emirates, UAE
Develop AI models for medical imaging, manage data, implement explainable AI, and collaborate with clinicians to enhance diagnostic systems.
