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Postdoctoral Research Associate in Deep Learning at the University of Oxford University of Oxford in United Kingdom
Degree Level
Postdoc
Field of study
Computer Science
Funding
6-month fixed-term postdoctoral position funded by an EPSRC grant. Start date is anticipated as 1 December 2026 or as soon as possible thereafter, with flexibility subject to approval.
Deadline
Sep 30, 2026
Country
United Kingdom
University
University of Oxford

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About this position
University of Oxford is inviting applications for a Postdoctoral Research Associate in Deep Learning at the Mathematical Institute in Oxford, United Kingdom.
The post is part of the Machine Learning & Data Science research group and the joint NSF-EPSRC project DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks. The research focuses on the mathematical theory of deep learning, with work spanning probability, partial differential equations, large deviations, stochastic analysis, optimisation, and machine learning.
The successful candidate will work with Professor Justin Sirignano at Oxford and collaborate with Professor Konstantinos Spiliopoulos at Boston University. Responsibilities include developing rigorous mathematical proofs for convergence and asymptotic analysis of deep learning models, methods, and algorithms, contributing to research publications, and participating in the group’s activities. There is also limited teaching opportunity of up to three hours per week during academic terms.
This is a 6-month fixed-term postdoctoral position funded by an EPSRC grant. The anticipated start date is 1 December 2026 (or as soon as possible thereafter), with an expected end date of 31 May 2027. The deadline for applications is 30 September 2026 at 12:00 noon UK time.
Applicants should be prepared for research in advanced mathematical aspects of machine learning and deep learning. Two referees must send reference letters directly to the department by the closing date.
Funding details
6-month fixed-term postdoctoral position funded by an EPSRC grant. Start date is anticipated as 1 December 2026 or as soon as possible thereafter, with flexibility subject to approval.
What's required
Applicants should have strong research ability in mathematics or a closely related field, with expertise relevant to probability, partial differential equations, large deviations, stochastic analysis, optimisation, or machine learning. The role involves producing rigorous mathematical proofs and collaborating on research publications; some teaching may be required (up to three hours per week during term).
How to apply
Apply through the University of Oxford recruitment portal using the provided application link. Submit the application before 12:00 noon UK time on 30 September 2026. Arrange for two referees to send reference letters directly to [email protected] by the closing date.
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