Research Fellow in Extreme Value Modelling and Machine Learning
Are you a motivated researcher or a skilled professional returning to academia and looking for your next challenge? Do you wish to work in a vibrant interdisciplinary environment at one of the UK’s leading research-intensive universities? Would you like to gain first-hand experience in developing novel techniques in statistical modelling and data analytics?
We are looking for a talented Research Fellow to join a project in statistical modelling and machine learning, which aims to develop a state-of-the-art multivariate extreme value model and package it into a user-friendly commercial prototype software solution, which can process a real-time data feed and provide a validated prediction of future extreme events.
You will work in close contact with Dr Leonid Bogachev (PI) in the Department of Statistics, and you will join our Modern Applied Statistics and Statistical Methodology and Probability research groups, as well as the Leeds Institute for Data Analytics (LIDA). The post is fixed-term until 31 March 2021 and is available starting from 1 January 2020 or as soon as possible thereafter (upon mutual agreement).
You will have a PhD in a relevant discipline (e.g. Statistics, Applied Statistics, Data Science, Data Analytics), together with experience in extreme value modelling and in Monte Carlo Markov Chain (MCMC) machine learning techniques. You will also have the ability to conduct independent research and a developing track record of publications in international journals. In addition, you will have excellent communication, planning and team working skills.
To explore the post further or for any queries you may have, please contact:
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Location: Leeds - Main Campus
Faculty/Service: Faculty of Engineering & Physical Sciences
School/Institute: School of Mathematics
Grade: Grade 7
Salary: £33,797 to £40,322 p.a.
Working Time: 37.5 hours per week
Post Type: Full Time
Contract Type: Fixed Term (Fixed term until 31 March 2021)
Closing Date: Sunday 09 February 2020
Interview Date: To be confirmed
Downloads: Candidate Brief