Vacancy reference
Salary range
£36,386- £42,155 per annum
Appointment term
Fixed-term (36 months)
Closing date

We invite applications for a Postdoctoral Research Associate in Machine Learning and Computational Fluid Dynamics to join our Data Science research group in the Mathematical Institute at the University of Oxford for a full time, fixed-term contract of up to 36 months.

This research project is funded by a joint NSF-EPSRC grant to the University of Oxford and the University of Notre Dame. We anticipate a starting date of 1st April 2023 (or as soon as possible thereafter) and an expected end date of 30th March 2026. There may be scope for flexibility in the start and end dates of this position, subject to approval by the department and the funding agencies. The project will involve collaboration between the postdoctoral research associate, Prof. Jonathan MacArt (University of Notre Dame), and Prof. Justin Sirignano (University of Oxford).

This project will develop and evaluate deep learning large-eddy simulation (DL-LES) models for turbulent separated flow in external-aerodynamics configurations. The objective is to use deep learning closure models to improve the predictive accuracy of LES for aerodynamic configurations relevant to real-world applications. The research is highly interdisciplinary, merging computational fluid dynamics (CFD), machine learning, optimisation, and high-performance computing (HPC). Responsibilities of the role include contributing to the formulation, implementation, and testing of the project’s methods and models, presenting work at domestic and international conferences, as well as authoring and co-authoring journal articles.

Candidates should have, or be close to completing, a PhD in mathematics, aerospace engineering, mechanical engineering, or a related discipline. The successful applicant will have a strong background in computational fluid dynamics, partial differential equations, and high-performance computing, as well as a willingness to learn new methods and programming paradigms. In addition to experience in these scientific areas, candidates should also have excellent communication skills and the ability to manage their own academic research and administrative activities.

We proudly hold a departmental Athena SWAN Silver Award and an institutional Race Equality Charter Bronze Award, which guide our progress towards advancing racial and gender equality. As part of our strategic aim to improve staff equality and diversity, we would particularly welcome applications from women and BAME candidates, who are currently under-represented in positions of this type within the department.

Please direct informal enquiries to the Recruitment Coordinator (email: @email), quoting vacancy reference 161020.

Applicants will be selected for interview purely based on their ability to satisfy the selection criteria as outlined in full in the job description. You will be required to upload a statement setting out how you meet the selection criteria, a curriculum vitae including full list of publications, a statement of research interests, and the contact details of two referees as part of your online application. (NOTE: Applicants are responsible for contacting their referees and making sure that their letters are received by the closing date).

Applications for this vacancy are to be made online. To apply for this vacancy and for further information, including a job description and selection criteria, please click on the link below:

Only applications received before 12.00 noon UK time on Wednesday 7th December 2022 can be considered.

Please contact us for feedback and comments about this page. Last updated on 18 Oct 2022 13:21.