A 2-years Postdoc position is available within the SpheryStream project. (More details on the project here)
A major challenge for the next decade is to design virtual and augmented reality systems (VR at large) for real-world use cases such as healthcare, entertainment, e-education, and high-risk missions. This requires VR systems that operate at scale, in a personalized manner, remaining bandwidth-tolerant whilst meeting quality and latency criteria. This can be accomplished only by a fundamental revolution of the coding/streaming/rendering chain that has to put the interactive user at the heart of the system rather than at the end of the chain. This new paradigm shift towards user-centric streaming has opened many new challenges, among which the understanding of user behaviour within VR content. Within this framework, the candidate joining our team will be working on machine learning strategies to analyse/predict users behaviour in 360-degree content, with the possibility of extending the research to volumetric videos and to quality of experience (QoE) analysis and optimization of the whole delivery chain. The work will be carried out within the EPSRC-SFI funded project, in collaboration with Trinity College Dublin (Prof. Alojsa Smolic), BBC Research Manchester (Graham Thomas), CWI (Prof. Pablo Caesar), Adobe USA (Dr. Vishy Swaminathan), and Ozyegin University (Prof. Ali Begen). The work will result in scientific publications in top-level venues in multimedia and machine learning conferences and journals.
Applicants must hold a PhD in Engineering/Computer Science or a related subject. The ideal candidate would also have a strong background on VR systems, good knowledge of computer programming, and machine learning. Fluent English is also required.
Also, the candidate is expected to:
• Have excellent analytical and engineering skills
• Have excellent reporting and communication skills
• Be self-motivated, independent and team player
• Have genuine enthusiasm for the subject and technology
• Have the willingness to author and publish research findings in international journals
The funding is available for two years as research fellow at UCL non-clinical grade scale grade 7 (£35,965 – £43,470 per annum incl. London Allowance).
How to apply
Interested applicants are encouraged to make Informal enquiries about the post to Dr Laura Toni email@example.com.
Formal applications should be submitted with a CV, a brief statement of your research interests, and with names and email addresses of two referees. Information on how to apply here.
About UCL and the Department of Electronic and Electrical Engineering
University College London (UCL) was founded in 1826 as the third university in England, after Oxford and Cambridge. UCL is the first university in England to admit students of any race, class or religion, and the first to welcome women on equal terms with men. UCL is organized into 11 constituent faculties, within which there are over 100 departments, institutes and research centres. UCL has 983 professors and more than 7000 academic staffs who are dedicated to research and teaching of the highest standards. Its student community is almost 36,000, the largest in the UK. There are 29 Nobel Prize winners and three Fields medalists amongst UCL’s alumni and current and former staff. UCL is the top-rated university in the UK for research excellence (REF2014). It has a strong tradition and large knowledge base in medical research with a dedicated institute on Healthcare Engineering and 10+ hospitals. UCL has world-class support for researchers and has been voted the best place for postdoctoral researchers to work for consecutive years by The Scientist magazine. The main campus of UCL is located in central London, close to British Museum, West-End and Thames River. The Department of Electronic and Electrical Engineering at UCL was established by Professor Sir Ambrose Fleming in 1885 and has a very strong research culture, state-of-the-art research equipment and facilities, and very rich history of many fundamental research achievements in electronic and electrical engineering. The department has received top ratings in every UK research evaluation carried out to date.