Grade UE07: £40,497 to £48,149 per annum
School of Mathematics / College of Science and Engineering
Full time: 35 hours per week (100% FTE)
Fixed Term: for 24 months
We are looking for an outstanding candidate to work on project UNTauANGLE: Untangling the biophysics of tau aggregation through computational modelling, within the School of Mathematics at the prestigious University of Edinburgh, UK.
The Opportunity:
The aim of the project is to develop and implement a mathematical and numerical modelling framework to understand the fundamental physical processes underlying the dysfunction of the tau protein. The dysfunction of tau, which is tightly linked to a large class of dementias called tauopathies, includes the formation and runaway growth of multi-protein clumps that result in severe damage to neurons. There is still no effective treatment for tauopathies caused by excessive clumping of tau, largely due to an incomplete physical understanding of the molecular interactions and conditions in the neuron that dysregulate tau. The successful applicant, working closely with Dr. Luke Davis, will bring together coarse-grained "minimal" molecular modelling approaches, statistical physics, and high-throughput molecular dynamics computer simulations into a single tau-modelling framework. There is scope for a strong candidate to shape the research direction. The project is funded by the Wellcome Trust, through the Wellcome Accelerator Award (311948/Z/24/Z).
Your skills and attributes for success:
The appointee has (or soon to have obtained) a PhD in applied mathematics, theoretical biophysics, physics, mathematical biology, or a related discipline. We are particularly encouraging applicants with a strong background in statistical and computational physics, and those with research experience in the modelling of living and active matter. It is essential that you have a demonstrable ability to produce academic writing of the highest quality.
Specifically:
1. Excellent knowledge of statistical physics and biophysics.
2. Experience with molecular dynamics simulations.
3. Experience in the efficient running of code on high performance computers.
4. Strong coding skills in an object-oriented language.
5. Experience with simulation libraries (e.g. LAMMPS) would be highly beneficial.
Application Information
For your application, please ensure you include a CV and a < 2-page cover letter stating your motivation and suitability for the role. Additionally, please arrange for at least 2 referees to send their reference letters direct to references@maths.ed.ac.uk quoting the reference number 12195.
As a valued member of our team you can expect:
1. A competitive salary.
2. Access to cutting-edge research facilities and resources.
3. Opportunities to collaborate with other researcher groups.
4. An exciting, positive, creative, challenging and rewarding place to work.
5. To be part of a diverse and vibrant international community.
6. Comprehensive Staff Benefits, such as a generous holiday entitlement, competitive pension schemes, staff discounts, and family-friendly initiatives.
Championing equality, diversity and inclusion
The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.
Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages.
The University is able to sponsor the employment of international workers in this role. If successful, an international applicant requiring sponsorship to work in the UK will need to satisfy the UK Home Office's English Language requirements and apply for and secure a Skilled Worker Visa.
Key dates to note
The closing date for applications is 15th April 2025.
Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.
About Us
As a world-leading research-intensive University, we are here to address tomorrow's greatest challenges. Between now and 2030 we will do that with a values-led approach to teaching, research and innovation, and through the strength of our relationships, both locally and globally.
About the Team
The School of Mathematics
The University of Edinburgh's School of Mathematics is one of the world's leading mathematical sciences departments, home to world-class researchers and to an innovative educational environment for both undergraduates and postgraduates. We are proud to have a highly international faculty and students from around the world. As a School we value both the breadth and depth of our research and teaching.
We have around 110 permanent faculty and around 45 research fellows and research associates, who cover a broad range of research topics in pure and applied mathematics, operational research and statistics. The School has an enviable record of attracting prestigious fellowships and currently hosts, for instance, 6 ERC grant holders and 7 Royal Society University Research and Dorothy Hodgkin Fellows. In the 2023 Shanghai Global Ranking of Academic Subjects we are ranked 18th among the world's best Mathematics departments.
Further information about the School, our research and our teaching is available on the School of Mathematics Website (https://www.maths.ed.ac.uk).
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