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伦敦大学学院（University College London），简称UCL，1826年创立于英国伦敦，是誉满全球的顶尖综合性研究型大学，在多个大学排行榜上高居世界前十，为伦敦大学创校学院、罗素大学集团和欧洲研究型大学联盟创始成员，被誉为金三角名校和G5超级精英大学。
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 University College London and 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.
About the role
The successful applicant will work closely with Dr Hao Ni (Co-I Maths, UCL), and the Project Partner Lianwen Jin from South China University of Technology (SCUT) focusing on core challenges in Human Computer Interfaces. Smart devices should be intelligent interpreters that collect requests, digest information and return valuable responses, eventually transforming how people live and work. The human computer interaction (HCI) experience with these devices will be critical in determining the nature of that interaction. We focus on three kinds of intelligent HCI technologies for such devices, namely, handwriting-based HCI, accelerometer-based HCI and egocentric gesture-based HCI. These three kinds of HCI share the common characteristic that they are all based on interpreting multidimensional sequential data accurately in real time with a large (or huge) number of outcomes.
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. 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.
What we offer
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 (salary £34,976 per annum inclusive of London allowance) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.
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 (firstname.lastname@example.org). Informal enquiries may be addressed to Dr Hao Ni, email: email@example.com.
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:
41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
Additional 5 days’ annual leave purchase scheme
Defined benefit career average revalued earnings pension scheme (CARE)
Cycle to work scheme and season ticket loan
Relocation scheme for certain posts
Enhanced maternity, paternity and adoption pay
Employee assistance programme: Staff Support Service
Discounted medical insurance
Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.