Applications are invited for the above post, to start in January 2024 or at a mutually agreed alternative date. We are looking for an academic of outstanding ability, who is seeking a friendly, supportive and collegial environment in which to develop as world-class researcher and teacher.
You should hold a PhD or equivalent in Actuarial Science or a closely related field and be able to demonstrate an outstanding research record in an area of Actuarial Science as well as an ability to lecture a range of courses in Actuarial Science and related areas at both undergraduate and postgraduate level.
We expect a genuine commitment to and enthusiasm for both teaching and research and the development of others. You will carry out research in Actuarial Science and supervise research (PhD) students. You will teach undergraduate and masters-level courses and to contribute to the ongoing curriculum development. Furthermore, you will provide project supervision to students at undergraduate and masters-level in programmes offered by the Department. You will also perform other usual departmental duties, including examinations and further administrative tasks.
There are many opportunities to engage with other researchers at the University including the Institute for Data Science and Artificial Intelligence (https://www.idsai.manchester.ac.uk/ ). We are also a University Partner of the Alan Turing Institute (the UK national institute for data science).
The Department and University are committed to the well-being and work-life balance of all staff. We have a package of family-friendly policies covering flexible working, career breaks and entitlement to paid maternity, paternity and adoption leave. For more details on these and other benefits see https://www.manchester.ac.uk/connect/jobs/benefits-working-here/. The Department is fully committed to Athena SWAN principles to promote women in science and is a supporter of the LMS Good Practice Scheme; for more details of our activities relating to Social Responsibility see https://www.maths.manchester.ac.uk/connect/social-responsibility/. This is a full time post but applications from individuals seeking part time, job share or flexible working arrangements are welcome.
Candidates should provide a full academic CV, to which they should append:
In their application, candidates should indicate the post (Senior Lecturer / Reader) and describe how they meet the corresponding essential and desirable criteria outlined in the person specification for the post. Interviews are planned for 8 and 9 November 2023.
What you will get in return:
As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
Our University is positive about flexible working – you can find out more here
Hybrid working arrangements may be considered.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk. Any CV’s submitted by a recruitment agency will be considered a gift.
Enquiries about the vacancy, shortlisting and interviews:
Name: Professor Korbinian Strimmer
Email: korbinian.strimmer@manchester.ac.uk
General enquiries:
Email: People.recruitment@manchester.ac.uk
Technical support:
https://jobseekersupport.jobtrain.co.uk/support/home
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.
