Lectureship/Readership in Probability and Stochastic Analysis

Lectureship - Grade UE08 £48,350 - £59,421 per annum

Readership - Grade UE09 £61,198 - £75,498 per annum

Full time: 35 hours per week

Open-ended post: permanent

The Opportunity:

The School of Mathematics is seeking to appoint to a lectureship in Probability and Stochastic Analysis Mathematics (equivalent to Assistant Professor) to start in September 2024 or later by agreement. Very strong and experienced applicants may be appointed to a Readership (equivalent to Associate Professor).

The field of Probability and Stochastic Analysis is understood in a broad sense. Those pursuing interdisciplinary research with links to other fields, for instance, Computing, Engineering, Finance, Physics, or links to industry are also encouraged to apply. In addition to carrying out high-quality research, the successful candidate will contribute to the teaching of undergraduate courses and the teaching and further development of our successful MSc programmes in Mathematical Finance.

The School has particular strengths in stochastic analysis, applied probability, mathematical finance, machine learning, and computational modelling, with a wide variety of interests across all aspects of probability.

This post is full-time (35 hours per week).  We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working. 

Please ensure that your online application includes an up-to-date CV, research statement and teaching statement.  In additional please also arrange for three references to be sent to references@maths.ed.ac.uk by the closing date, quoting Job Req 10207.

Informal enquiries may be made to Dr Ilya Chevyrev via ilya.chevyrev@ed.ac.uk

Your skills and attributes for success: 

• PhD in Mathematics or a related area
• Experience of relevant teaching at University level
• An established record of first-class research or able to demonstrate excellent research potential
• Able to demonstrate independence
• Effective team worker
• Good communication and interpersonal skills

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