[robotics-worldwide] [jobs] Postdoctoral Research Fellow in Assistive Robotics

Nicola Bellotto nbellotto at lincoln.ac.uk
Tue Nov 11 07:59:20 PST 2014


Location:  School of Computer Science, University of Lincoln, UK
Salary:   From £31,342 per annum
This post is fixed term for 3 years
Closing Date:   Wednesday 26 November 2014
Interview Date:   Wednesday 10 December 2014
Reference:  COS147

(Please note a different postdoc position in Service Robotics is also currently being advertised -- see http://jobs.lincoln.ac.uk/ for details)

The University of Lincoln is seeking to appoint a new Postdoctoral Research Fellow in Assistive Robotics (Robot Perception for Long-Term Human Activity Monitoring) to join the
Centre for Autonomous Systems Research (L-CAS). The centre is internationally recognized for its research in sensing, mapping, and control for autonomous systems, and
currently comprises 7 staff, 4 postdoctoral research fellows and 16 post-graduate research students. The successful candidate will be employed as part of a European
collaborative project, involving academic institutes, industrial partners and non-profit organizations across six European countries.

The project tackles the progressive decline of cognitive capacity in the ageing population proposing an integrated platform for Ambient Assisted Living (AAL) with a mobile
service robot for long-term human monitoring and interaction, which helps the elderly to remain independent and active for longer. The system will contribute and build on
recent advances in mobile robotics and AAL, exploiting new non-invasive techniques for physiological and activity monitoring, as well as adaptive human-robot interaction, to
provide services in support to mental fitness and social inclusion.

This Postdoctoral Research Fellowship is focussedin the area of robot perception for human tracking and identity verification for long-term activity monitoring at home. Primary
tasks include developing novel algorithms and approaches for enabling the acquisition, maintenance and refinement of models to represent human motion behaviors over
extended periods. Additional tasks include integration of the algorithms with the AAL system, and relevant project management activities.

The fellowship offers the opportunity to engage in international collaboration within an ambitious team, to work with state-of-the-art robotic hardware and software, and to
benefit from excellent support to produce and disseminate original research contributions. The successful candidate should possess a PhD or equivalent in Computer Science,
Engineering or related subjects. They will have excellent skills in robot programming and systems integration. Hands-on practical experience in areas including (but not limited
to) robot perception, sensor fusion, artificial intelligence and robotics middleware would also be an advantage. They will design, conduct and manage original research in the
above subject areas, as well as contribute to the wider activities of L-CAS. Evidence of authorship of research outputs of international standing is essential, as is the ability to
work collaboratively as part of a team, including excellent communication skills.

The University of Lincoln is a forward-thinking, ambitious institution and you will be working in the heart of a thriving, beautiful, safe and friendly city. L-CAS provides a stimulating
environment for academic research, and is based in high quality, newly developed facilities.

It is anticipated that the post holder will start in January 2015.

Informal enquiries about the post can be made to Dr Nicola Bellotto (email: nbellotto at lincoln.ac.uk) or Prof Shigang Yue (email: syue at lincoln.ac.uk).

For further information or to apply online please visit our website at http://jobs.lincoln.ac.uk/

As a member of the Athena SWAN Charter we are committed to advancing gender equality in STEM, therefore female applicants are strongly encouraged to apply.


--
Dr Nicola Bellotto
School of Computer Science
University of Lincoln
Brayford Pool
Lincoln, LN6 7TS
United Kingdom
Tel: +44 (0)1522 886080
Fax: +44 (0)1522 886974
http://robots.lincoln.ac.uk/nbellotto.html

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