Research Associate (fixed-term) (ED12119)

Job title Research Associate (fixed-term)

Department Mathematical Sciences

Salary Starting from £37,999, rising to £45,163

Grade Grade 7

Contract Type Full Time, Fixed Term

Placed on Monday 14 October 2024

Closing date Monday 28 October 2024

Interview date Friday 08 November 2024

Reference ED12119

Applicant Visa Guidance Skilled Worker visa: guidance for applicants (bath.ac.uk)

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We have an exciting opportunity for a Research Associate to join the Department of Mathematical Sciences, working alongside Dr Ruth Bowness. This position will suit those with a passion for Mathematical Biology, working on an interdisciplinary project using mathematical and computational methods to improve and personalise Tuberculosis (TB) treatment.

We currently have two mathematical frameworks to model infectious diseases in the lung: a hybrid Individual-based Model (IBM) and a meta-population network model.

You will combine these modelling frameworks and develop the new model to account for immunological dysfunctions typical in particular subgroups of TB patients.

We will concentrate on TB/HIV and TB/diabetes, performing simulations of different treatment options (via integrated Pharmacokinetic/Pharmacodynamic models).

You should be able to demonstrate depth and breadth of specialist knowledge of computational modelling in interdisciplinary mathematical biology research.

You will contribute to the deliverables of the research project and communicate results through peer-reviewed journal publications and via national/international conference presentations.

You will also be expected to take an active role in supporting PhD and undergraduate students within the team.

You will work with a range of clinical, biological and mathematical collaborators on the project, and contribute to the overall success of the team.

This position is funded by the Medical Research Council and is fixed term for 3 years.

You will join the interdisciplinary research team of Dr Ruth Bowness and contribute to the production of high-quality research papers, as well as assist with the dissemination of the research.

You will be part of a thriving mathematical biology community within the Centre for Mathematical Biology at Bath and will receive excellent mentoring and support.

As a member of Research Staff at the University of Bath, you will be encouraged to take up a minimum of 10 days professional development pro rata per year.

About you

Additional information

This position is fixed-term for three years, but part-time working can be accommodated with length of contract altered accordingly. Please see contact details below to discuss.

Informal enquiries about the post may be made to: Dr Ruth Bowness, Reader & MRC Fellow, at [email protected].

Please ensure you submit your application through our website, and please upload an up-to-date CV.

Find out more about our benefits.

We consider ourselves to be a university where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equality and intersectionality receiving a Silver Athena SWAN award. We truly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and students, so we encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups, and value the positive impact that will have on the university. We are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment.

We are very proud to be an autism friendly university and are an accredited Disability Confident Leader; committed to building disability confidence and supporting disabled staff.

Find out from our staff what makes the University of Bath a great place to work. Follow us @UniofBath and @UniofBathJobs on Twitter for more information.

We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name, may be removed from application forms at the initial shortlisting stage.