USussex.ResearchFellowMathematics

Location: Brighton

The Department of Mathematics at the University of Sussex is inviting applications for a fixed-term research position on ecological modelling of tick-borne pathogens to better understand their distribution and prevalence along urbanisation and environmental  this role, you will develop mathematical models to evaluate theroles of multiple mechanisms in structuring ecological metacommunitiescomposed of ticks, their hosts and associated pathogens. Working closely with project partners, you will integrate process-based metapopulationmodels into network models to identify key environmental and social determinants of the risk of human infection, and suggest critical pointsfor management actions.

The role includes research collaboration with the University of Bath (UK) and a US team coordinated by researchers at Columbia University. Whilethis post has the fixed duration of 24 months, there will be an opportunity to apply for a continuation of this position to be based atthe University of Bath (UK) for an additional 24 months of the project.

Apply here:
* About you
* We are seeking a candidate with a strong background in mathematical biology, ecological and/or epidemiological modelling, or applied dynamical systems.

Prospective candidates should hold a PhD in Mathematics or be in the final stages of writing up their PhD thesis and have submitted by the start dateof the position. Equivalent research experience will also be considered.

You should have familiarity with handling large and complex datasets,and be skilled in programming languages such as Python, Matlab or R.The ideal candidate will be capable of independent research aswell as effective teamwork, with excellent communication skills for interdisciplinary engagement with colleagues and external collaborators. Astrong interest in interdisciplinary research and applying mathematical techniques to ecological data and environmental challenges is highly desirable.
* Further Key Information
* Please contact Prof Konstantin Blyuss () for informal enquiries.

Candidates should include in their application the following:

- Academic CV - A personal statement (500 words maximum) outlining their research interests and their research experience to date
- Official academic transcripts
- Contact details for two suitable referees
- Application form

For full details and how to apply see our vacancies page.
* Eligibility*This role has been assigned an eligible SOC code and meets the salary requirements for Skilled Worker Sponsorship if full time and appointed at Grade 7.4.Please consult our Skilled Worker Visa information pagefor further information about Visa Sponsorship.

This role may also be eligible for the Global Talent visa route, depending on the individual circumstances of the successful candidate.

Please note that this position may be subject to ATAS clearance ifyou require visa sponsorship.

The University requires that work undertaken for the University is performed in the UK.