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伦敦大学学院
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。
About us
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.
About you
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 ([email protected]). Informal enquiries may be addressed to Dr Hao Ni, email: [email protected]. 
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 
  • Immigration loan 
  • Relocation scheme for certain posts 
  • On-Site nursery 
  • On-site gym 
  • 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.
Apply Now
https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?jobId=823&jobTitle=Research%20Fellow
实习内推
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校招岗位
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社招岗位
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高校招生
上海财经大学语言智能实验室｜香港中文大学（深圳）｜乔治梅森大学｜香港中文大学（深圳）查宏远教授｜麦吉尔大学智能自动化实验室｜上海交通大学叶南阳老师｜南洋理工大学Lu Shijian教授｜清华大学周伯文老师｜香港科技大学陈浩老师｜香港理工大学智能计算实验室｜香港浸会大学雪巍老师｜香港中文大学岳翔宇老师｜北卡州立大学郭志山教授｜香港科技大学（广州）王泽宇老师｜中弗罗里达大学姚凡老师｜浙江大学廖备水教授｜达尔豪斯大学计算机系｜清华大学弋力老师课题组｜香港科技大学统计机器学习实验室｜印第安纳大学姜雷教授｜北卡州立大学胥栋宽老师｜奥克兰大学工业人工智能课题组｜清华大学智能计算实验室｜佛罗里达州立大学王广老师｜香港城市大学陆志聪老师｜香港浸会大学杨任驰老师｜中佛罗里达大学娄钱老师｜圣路易斯华盛顿大学｜北京大学分子影像实验室｜空军军医大学徐肖攀老师｜新加坡国立大学｜香港科技大学冯雁教授｜KAUST IVUL实验室｜香港中文大学（深圳）路广利老师｜芝加哥大学徐海峰老师｜约翰霍普金斯大学｜香港中文大学朱昭颖教授｜香港理工大学李菁老师｜爱丁堡大学李昌健老师｜南方科技大学陈冠华老师｜UIUC信息学院汪浩瀚老师
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