University College London (UCL), Mathematics

Position ID: 1002-RF2 [#18804]
Position Title: Research Fellow in the Mathematics of Machine Learning
Position Location: London, London, City of, United Kingdom [map] sort by distance
Subject Area: Mathematics
Application Deadline: 2022/11/21 11:59PMhelp popup (listed until 2022/11/21)
Position Description:    

*** the listing date or deadline for this position has passed. ***

Research Fellow in the Mathematics of Machine Learning Full Time, Permanent Salary: The salary range will be £36,028 - £43,533 per annum, inclusive of London Allowance. Computer Science London The appointment will be on UCL Grade 7.

The Department of Computer Science at University College London is inviting applications from excellent candidates for a three year Research Fellow position starting in January 2022 in the EPSRC Programme Grant EP/V026259/1 on the “Mathematics of Deep Learning” (Maths4DL). Maths4DL is a joint programme run by the University of Bath, the University of Cambridge and the University College London, and the successful candidate will join a close knit team hosted by all three universities and led by Professor Chris Budd OBE and Dr Matthias Ehrhardt (Bath), Professor Carola Schoenlieb and Richard Nickl (Cambridge), and Professor Simon Arridge and Bangti Jin (UCL).

This is an exceptional opportunity to conduct ambitious research at the forefront of mathematics, statistics and machine learning. Funding will be available for conference attendance, travel, computer equipment, training and career development. The Vision and Ambition of Maths4DL is to develop a comprehensive mathematical, statistical and computational framework that addresses i) the foundational challenges on interpretability of the trained Deep Neural Networks (DNN), ii) robustness and generalisation of DNN on test data, iii) statistical confidence in DNN-outputs and iv) computational challenges with large-scale models and high-dimensional training data. Maths4DL joint programme combines leading expertise in deep learning, interdisciplinary mathematics, statistics, Artificial Intelligence (AI), Partial Differential Equations (PDEs), optimal transport, optimisation, environmental modelling, numerical analysis, geometric integration, scientific computing, image processing, probability, and inverse problems.

Duties will include: Developing and conducting individual and collaborative research objectives, proposals and projects as part of the overall work of the Maths4DL programme. The post holder must be able to communicate material of a technical nature and be able to build internal and external contacts. They may be asked to assist in the supervision of student projects, the development of student research skills, provide instruction and plan/deliver seminars relating to the research area of Maths4DL.

Applicants must have (or be about to receive) a PhD degree in mathematics or statistics (or a closely related discipline). The post holder will be experienced in one or more of the following areas: inverse problems, machine learning, mathematical imaging, mathematical or computational analysis, optimisation and/or data science. Experience in programming is desirable (e.g. MATLAB / Python, Tensorflow / PyTorch). Experience with learned PDE methods is highly desirable. The applicant should have programming experience in a low-level programming language, e.g., python, outstanding skills and experience in mathematical modelling techniques. The successful post-holder should demonstrate excellent communication skills with a strong aptitude for collaborative, multidisciplinary working within a deadline driven environment.

Please note that research staff that do not have a PhD in the subject will be appointed on Grade 6B and will have the title Research Assistant. Research staff without a PhD may exceptionally be appointed as Research Fellows. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Research Assistant Grade 6B (salary £32,217 - £33,958 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.

For further details about the vacancy and how to apply online please go to and search on Reference Number 1878081

If you have any queries regarding the vacancy or the application process, please contact Professor Simon Arridge ""> or Dr Bangti Jin "http://"

Closing Date: 21/11/2021

Latest time for the submission of applications: 23:59.

Interview Date: TBC

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