Snabbfakta
-
- Manchester
Ansök senast: 2025-01-26
Research Associate in Numerical Analysis
This is an exciting opportunity for an ambitious individual with a PhD and the ability and confidence to undertake a 24-month research project. Start date is March 2025 or a mutually agreed later time.
This research associate position will be devoted to research on “Randomized Numerical Linear Algebra for Optimization and Control of Partial Differential Equations (PDEs)”. It is one of two positions funded by EPSRC (grant EP/Z533786/1). It will be supervised by Prof. Stefan Güttel (University of Manchester) and Prof. John Pearson (University of Edinburgh). The research will involve the use of randomization to devise numerical solvers for large-scale eigenvalue problems, reduced-order models, and PDEs, applied to problems from optimization and control. As such, the candidate should have a background in numerical linear algebra and, more generally, numerical analysis.
A record of some high-quality mathematical reports and/or publications, as well as coding skills (e.g. in MATLAB, Python, C) are essential. You will closely collaborate with a second postdoctoral researcher based at University of Edinburgh. The project team also involves two industrial partners, FESTO and Arup, who will provide guidance and pathways to produce highly impactful work through direct industry integration. As such, you are expected to be able to communicate your work effectively to practitioners. You will be part of Manchester’s world-leading Numerical Analysis Group, providing a friendly and vibrant research environment, and will have an office in the modern Alan Turing Building. You will also have access to a generous travel allowance which will enable you to present your work at national and international conferences.
The Department and University are committed to the well-being and work-life balance of all staff. We have a package of family-friendly policies covering flexible working, career breaks and entitlement to paid maternity, paternity and adoption leave. For more details on these and other benefits see
http://www.manchester.ac.uk/connect/jobs/benefits-working-here/. The Department is fully committed to Athena SWAN principles to promote women in science and is a supporter of the LMS Good Practice Scheme; for more details of our activities relating to Social Responsibility see
http://www.maths.manchester.ac.uk/connect/social-responsibility/. This is a full-time post but applications from individuals seeking part time, job share or flexible working arrangements are welcome.
Applications should normally be made online. Please append a brief research statement (maximum 2 sides A4, excluding references) to your CV.
What you will get in return:
- Fantastic market leading Pension scheme
- Excellent employee health and wellbeing services including an Employee Assistance Programme
- Exceptional starting annual leave entitlement, plus bank holidays
- Additional paid closure over the Christmas period
- Local and national discounts at a range of major retailers
Our University is positive about flexible working you can find out more here
Hybrid working arrangements may be considered.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk.
Any CV’s submitted by a recruitment agency will be considered a gift.
Enquiries about the vacancy, shortlisting and interviews:
Name: Prof. Stefan Güttel
Email: stefan.guettel@manchester.ac.uk
General enquiries:
Email: People.recruitment@manchester.ac.uk
Technical support:
https://jobseekersupport.jobtrain.co.uk/support/home
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.
