Research Fellow in Stochastic Analysis
- University of Leeds
- Location: Leeds, United Kingdom
- Job Number: 7236027 (Ref #: EPSMA1109)
- Posting Date: Apr 11, 2024
Job Description
Are you passionate about stochastic analysis and its applications to differential equations? Do you have a PhD in Mathematics or a related discipline, and a strong background in stochastic analysis? Do you want to join a dynamic and collaborative research team?
We are looking for a Research Fellow to join our team working on stochastic analysis, with a focus on regularisation by noise phenomena. The post is funded by the EPSRC project EP/Y016955/1 “Regularisation by noise: beyond Itô's theory” and aims to investigate the effects of noise on the well-posedness and qualitative properties of solutions to differential equations, with a focus on non-Markovian and/or infinite dimensional settings.
You will work closely with Dr Konstantinos Dareiotis and Dr Khoa Lê. You will have a PhD in Mathematics (or have submitted your thesis before taking up the role) or a related discipline, and a strong background in stochastic analysis, partial differential equations, and functional analysis. The position is for two years, starting from October 2024 or as soon as possible thereafter.
To explore the post further or for any queries you may have, please contact:
Dr Konstantinos Dareiotis, Lecturer (email: [email protected])
OR
Dr Khoa Le, Lecturer (email: [email protected])
| Location: | Leeds - Main Campus |
| Faculty/Service: | Faculty of Engineering & Physical Sciences |
| School/Institute: | School of Mathematics |
| Category: | Research |
| Grade: | Grade 7 |
| Salary: | £37,099 to £44,263 p.a. |
| Due to funding restrictions, an appointment will not be made higher than £39,347 p.a. | |
| Working Time: | 37.5 hours per week |
| Post Type: | Full Time |
| Contract Type: | Fixed Term (Until 30 September 2026, available from 01 October 2024 - to complete specific time limited work) |
| Release Date: | Wednesday 10 April 2024 |
| Closing Date: | Wednesday 08 May 2024 |
| Reference: | EPSMA1109 |
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