Research Associate in the Mathematics of Deep Learning

University of Cambridge

United Kingdom

A position exists for a Post-Doctoral Research Associate to work in the EPSRC Programme Grant EP/V026259/1 on the "Mathematics of Deep Learning". Maths4DL is a joint programme run by the University of Cambridge, University of Bath and University College London. The successful candidate will join a close knit team hosted by all three universities and led by Profs Carola-Bibiane Schönlieb and Richard Nickl (Cambridge), Prof Chris Budd OBE and Dr Matthias Ehrhardt (Bath) and Profs Simon Arridge and Bangti Jin (UCL).

This is an exceptional opportunity to conduct ambitious research at the forefront of mathematics, statistics and machine learning. There are generous funds 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.

The three university team which the successful candidate will join, 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 include developing and conducting individual and collaborative research objectives, proposals and projects as part of the overall work of the Maths4DL programme. The successful candidate must be able to communicate material of a technical nature and be able to build internal and external contacts. The successful candidate may be asked to assist in the supervision of student projects, provide instruction and plan/deliver seminars relating to the research area of Maths4DL.

Applicants must have (or about to receive) a PhD degree in mathematics or statistics (or a closely related discipline). The ideal candidates will be experienced in one or more of the following areas: mathematical or computational analysis, mathematical statistics, inverse problems, machine learning, mathematical imaging, optimisation and/or data science. Experience in programming is desirable (e.g. MATLAB / Python, Tensorflow/PyTorch).

Fixed-term: The funds for this post are available for 3 years in the first instance.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Please indicate the contact details of two referees on the online application form and upload a full curriculum vitae and cover letter showing how your knowledge, skills and experience match the requirement of the role. Please ensure that at least one of your referees is contactable at any time during the selection process, and is made aware that they will be contacted by the Mathematics HR Office Administrator to request that they upload a reference for you to our Web Recruitment System; and please encourage them to do so promptly.

For enquiries regarding the vacancy or the applications process, please email LE26728@maths.cam.ac.uk

Start date: 30 January 2022 or by mutual agreement.

Interviews will take place as soon as possible after the closing date.

Details of the position advertised at the University of Bath can be found at https://www.bath.ac.uk/jobs/CC8323

Please quote reference LE26728 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Apply online


In your application, please refer to Professorpositions.com

FACEBOOK
TWITTER
LINKEDIN

amsterdam uni

antwerp uni

cambridge uni

florida uni

hamburg uni

harvard uni

hiroshima uni

oslo uni

purdue uni

ryerson uni

shanghai jiao tong uni

stockholm uni