Research Fellow in Mathematical modelling of the Bunyaviruses intra-cellular life cycle

University of Leeds

Leeds, United Kingdom

Job posting number: #7103493 (Ref:EPSMA1065)

Posted: June 20, 2022

Job Description

Are you an enthusiastic and motivated researcher with an interest in developing models to understand viral infection dynamics? Would you like to use your mathematical, statistical and computational skills to understand the intracellular life cycle of Bunyaviruses? Are you interested in the opportunity to gain experience working in a cross-disciplinary team in collaboration with international partners?

You will contribute to the development of mathematical models of the intracellular life cycle of Bunyaviruses with reassortment. You will work in an inter-disciplinary environment in the Mathematical Immunology group at the School of Mathematics in Leeds. You will work together with a second Research Fellow in the Faculty of Biological Sciences who will experimentally quantify intracellular viral dynamics. You will use stochastic and deterministic approaches, and develop computational tools to parametrise mathematical models of a single viral infection and co-infection, with the datasets generated by the experimental Fellow, who will work under the supervision of Dr John Barr in the Faculty of Biological Sciences.

You will hold a PhD (or submitted your thesis before taking up the role) in Mathematics, Statistics or Physics, with expertise and experience of developing and applying mathematical models, statistical inference of the models with experimental data and computational simulations.

What we offer in return 

And much more!   

To explore the post further or for any queries you may have, please contact: 

Dr Martin Lopez Garcia, Lecturer, School of Mathematics

Email: [email protected]   OR

Prof Grant Lythe, Professor, School of Mathematics

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:  £34,304 to £40,927 p.a.
Due to funding restrictions an appointment will not be made higher than £36,382 p.a
Working Time:  37.5 hours per week
Post Type:  Full Time
Contract Type:  Fixed Term (Until 30th April 2025 (grant funding))
Release Date:  Friday 17 June 2022
Closing Date:  Sunday 10 July 2022
Interview Date:  To be confirmed
Reference:  EPSMA1065

The University community is made up of a wide range of people with diverse backgrounds and circumstances, which we value and regard as a great asset. As part of our continued commitment to equality and inclusion, we strive to create an environment where everyone can reach their full potential and have a real opportunity to participate in and contribute to our activities.

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