Research Fellow in Mathematical and Statistical Models of Viral Dynamics
Are you an ambitious researcher looking for your next challenge? Do you have an established background in mathematical and statistical models of viral dynamics? Do you want to further your career in one of the UK’s leading research intensive universities?
We are looking for a Research Fellow in Mathematical and Statistical Models of intra-cellular viral dynamics to join our project on the estimation of a human dose range for VH244 for the prevention and treatment of respiratory infections. You will work together with teams at the University of Leeds and Virion Biotherapeutics (VB) to mathematically, statistically and computationally characterise the dynamics of respiratory virus infection and a therapeutic interfering particle (TIP), making use of experimental data.
You will have a PhD in Applied Mathematics, Physics or a closely allied discipline. You will also have a strong background in mathematical biology, multi-scale modelling, agent-based modelling, and statistical inference and multi-variate analysis; as well as in theoretical immunology and infection, and mathematical, statistical and computational modelling of immune responses. In addition, you will have the ability to conduct independent research and a developing track record of publications in international journals, alongside excellent communication, planning and team working skills.
To explore the post further or for any queries you may have, please contact:
Tel: +44 (0)113 343 5151, email: email@example.com
Location: Leeds - Main Campus
Faculty/Service: Faculty of Mathematics & Physical Sciences
School/Institute: School of Mathematics
Grade: Grade 7
Salary: £33,199 to £39,609 p.a. Due to funding restrictions, an appointment will not be made above spine point 32 (£35,211 p.a.)
Working Time: 100% We will consider job share / flexible working arrangements
Post Type: Full Time
Contract Type: Fixed Term (1 year - due to external funding)
Closing Date: Tuesday 30 July 2019
Interview Date: Wednesday 07 August 2019
Downloads: Candidate Brief