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Lecturer in Statistics
2 months ago
Part-Time (0.5 FTE)
Location: London (Holloway Site)
About Us
Transforming lives through excellent education
London Met is an extraordinary institution. Equity and social inclusion have always been our driving principles, and it's what makes the University so unique. Our organisation is distinctive, both in its eclectic and diverse community of students and staff, and also for its historical role in serving some of London's most deprived boroughs. Everything we do is underpinned by our philosophy that an individual should have the opportunity to transform their life through the power of education.
Equipping our students with the tools for their future is at the heart of our academic offering. We pride ourselves on providing our students with access to a wealth of opportunities and professions. Our graduates benefit personally, but also contribute their unique perspectives to society, culture, public service and the economy in all areas of London, the UK and around the world.
This subject area provides a range of pre-undergraduate, undergraduate, postgraduate courses in the disciplines of Mathematical sciences, and various Communications Technology disciplines. Our aim is to equip our diverse students with the academic, problem solving, technological and workplace skills necessary to enter the employment market.
About The Post
The School of Computing and Digital Media is currently recruiting for a Lecturer in Statistics area to deliver a high-quality teaching and learning experience and to carry out high standard research.
We are seeking a highly motivated applicant who will contribute to teaching, assessment and associated administration involved in delivering modules in Statistics subject area, covering both PG and UG levels. You will be expected to prepare, deliver, and assess coursework, assignments, examinations, and project work. You will assist in the development of courses in these areas and deployment of retention, progression and achievement strategies which enhance the student experience in the relevant courses.
At UG level the successful applicant is expected to contribute to teaching of the modules such as Logic and Problem Solving, Financial Mathematics, Data Analysis, Statistical Methods and Modelling Markets.
At PG level modules such as Statistical Modelling, Forecasting and Financial Mathematics
The Candidate
You will be a PhD holder, with a strong background in Mathematics subject area having a good research output capable of being rated at 3* or 4*.
Closing Date: Thursday 25th of July 2024
Interviews due to be held on the week commencing 29th of July 2024
Reference: 24SCDM0603
How To Apply
To apply, please click on the Apply button above.
The University is committed to equality, diversity and inclusion. Further information is available at
If you have a query, or experience any difficulties with the application process, please contact us by email at: quoting the job reference number.
Job Description
£39,423 to £48,072 per annum (inclusive of London Allowance)