The appointment will be on UCL Grade 7.

Department of Mathematics

London

Full time

Fixed Term: This post is available from 1 August 2022 or as soon as possible thereafter and is funded for 24 months in the first instance.

The salary range will be £36,770 - £40,928 per annum, inclusive of London Allowance.

Department of Mathematics

London

Applications are invited for a full-time Research Fellow position to work with Dr Hao Ni on the project Human Computer Interfaces. The position is funded by the EPSRC as part of the Programme Grant Unparameterised multi-modal data, high order signatures, and the mathematics of data science (DATASIG) and will be part of a multi-university research group (Imperial College London, University College London, and the University of Oxford) with a hub at The Alan Turing Institute. This position will be based at The Alan Turing Institute, British Library, and the successful applicant will be embedded beside the software engineering team at The Alan Turing Institute. Through a collaboration between leading mathematicians and leading domain scientists, the Programme will create a powerful and generic set of mathematical and computational tools for the analysis of complex multimodal data streams and to establish their effective use in four applied challenges (ACs): Mental Health, Radio Astronomy, Human Machine Interfaces and Computer Vision. Each area will be supported by at least one Research Fellow. Other Research Fellows will focus on the underlying mathematics.

Candidates should either have a PhD or equivalent qualification in mathematics, or a field related to the programme, or should be finalising their PhD or waiting for their viva date. Please note: Appointment at Grade 7 is dependent on award and confirmation of a PhD (or equivalent). If this is not the case, initial appointment will be at Research Assistant Grade 6B, point 26 - 24 (salary £32,217 - £33,958 per annum inclusive of London allowance) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.

The successful candidate will have research experience in in rough path theory and related areas, clear evidence of outstanding promise and originality in research, with a good publication record, commensurate with career stage. Ability to identify, develop and apply concepts, techniques and methods in new contexts, keep accurate records of research results and activity, help with reporting. As well as the ability to exercise initiative and judgement in carrying out research tasks, conduct a detailed review of recent literature, and organise own work independently and prioritise in response to deadlines. They will demonstrate willingness and ability to work effectively with a team of researchers and across disciplines to contribute towards the programme’s aims and objectives by actively engaging with the broader programme team, and have excellent communication skills, both written and oral. An outstanding candidate will show willingness and ability to report and present work to a wider community, will have the ability to assess resource requirements and deploy them effectively. They will have a creative and open approach to problem-solving, ability to work effectively with a team of researchers and across disciplines and show high level analytical capability.

Details of 3 referees are required - please do not provide more or less than the required 3 referees. If you have any queries regarding the vacancy or the application process, please contact Adrianna Mickiewicz (a.mickiewicz@ucl.ac.uk).

For further details about the vacancy and how to apply online please go to UCL Search Engine: Research Fellow, - Ref:1884818 (wcn.co.uk) Closing Date: 24/7/2022 Interview Date: July 2022

Informal enquiries may be addressed to Dr Hao Ni, email: h.ni@ucl.ac.uk

Latest time for the submission of applications: 23:59. UCL Taking Action for Equality

We will consider applications to work on a part-time, flexible and job share basis wherever possible.

Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.