Research Fellow Ref: 44021 (Fixed Term)

Brighton and Sussex Medical School; United Kingdom; Remote; GBP 39,000 - 46,000; Full time

Job summary

Brighton and Sussex Medical School invites applications for a Research Fellow to work with researchers at the University of Sussex and UCL on an EPSRC project on numerical analysis of free boundary problems arising in biology.

The role focuses on Stefan-type problems on evolving surfaces, developing numerical schemes and proving convergence. A PhD in Mathematics or related field is required, with experience in finite element methods and open source FE software preferred.

Qualifications

• PhD in Mathematics or closely related area required/awaiting viva.
• Experience in numerical analysis and computational approximation of PDEs using finite element methods.
• Desirable: degenerate parabolic equations, free boundary problems, geometric PDEs.
• Experience with open source finite element software such as DUNE or Firedrake is desirable.

Responsibilities

• Work on numerical analysis of Stefan-type problems on evolving surfaces.
• Develop numerical schemes and demonstrate convergence.
• Collaborate with researchers at BSMS/University of Sussex and UCL on the EPSRC project.

Skills

Numerical analysis

Finite element method

PDEs

Open source FE software

Education

PhD in Mathematics

Tools

DUNE

Firedrake

Job description

Full-time considered up to a maximum of 1.0 FTE (37.5 hours) Requests for flexible working options will be considered (subject to business need).

Grade 7 starting at £38,784 to £46,049 per annum, pro rata if part time.

Contract Type

Fixed Term Contract

About the role

The Research Fellow will work with Chandrasekhar Venkataraman and Philip Herbert at the University of Sussex, as well as with Thomas Sales at University College London on the EPSRC funded project Numerical Analysis Of Free Boundary Problems From Biology.

The project considers the numerical analysis of Stefan-type problems on evolving surfaces and seeks to construct appropriate numerical schemes and demonstrate their convergence.

About you

The successful candidate will hold a PhD in Mathematics or a closely related area, or be awaiting their viva. Ideally, you will have experience with the numerical analysis and computational approximation of PDEs using the finite element method. Experience with degenerate parabolic equations, free boundary problems, or geometric PDE are all desirable but not essential. Similarly, experience with open source finite element software, such as DUNE or Firedrake, are desirable.

About our School

We are a research-intensive School that simultaneously delivers outstanding teaching to our students. As such we aim to be consistently recognised as truly world leading in key areas of our science, by extending the international excellence, impact and visibility of our research. We aim to be within the top UK universities in our discipline areas, attracting high-quality students at both undergraduate and postgraduate levels.

We will establish a reputation as having a particularly open, stimulating, collaborative and supportive working environment for both staff and students, enabling the best possible outcomes for research, teaching and learning. We will further enhance our links with non-academic actors on local, national and international scales, and will maximise the impact of our work.

The School of Mathematical and Physical Sciences is proud to hold a Bronze Athena Swann Award.

Why work here

Our university is situated off the A27, next to the beautiful South Downs where you will enjoy everything that our 150-acre campus has to offer. We are accessible by public transport; Falmer train station is a five-minute walk to campus and several bus stops are located within campus. We also have dedicated cycling paths and encourage our staff to use these with our offering of a cycle to work scheme.

Sussex is a renowned, multi-accredited, research-led International University and this is only possible because of the people that work here. Whether you are a member of Faculty, part of a Professional Services team or a Student, it’s our people that make us great and we want you to be part of that.

The University of Sussex values the diversity of its staff and students, and we welcome applicants from all backgrounds.

Visa Sponsorship Queries: This role has been assigned an eligible SOC code and meets the salary requ irements for Skilled Worker Sponsorship if full timeand appointed at Grade 7.4. Please consult our Skilled Worker Visa information page for further information about Visa Sponsorship.

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

Fixed Term for 8 Months from the Date of Appointment