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

Nicola Bellotto nicola.bellotto at gmail.com
Wed Nov 5 14:31:41 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:  COS146

(Please note a different postdoc position in Assistive 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 Service Robotics (Robot Perception for Human Tracking and Motion 
Analysis) 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 and industrial partners across five European 

The project will develop a floor washing robot for industrial, commercial, 
civil and service premises, such as supermarkets and airports. Floor washing 
tasks have many demanding aspects, including autonomy of operation, navigation 
and path optimization, safety with regards to humans and goods, interaction 
with human personnel, easy set-up and reprogramming. The project addresses 
these problems by integrating existing and new solutions to produce a 
professional floor washing robot for wide areas.

This Postdoctoral Research Fellowship is focussed in the area of robot 
perception, based on laser range-finder and RGB-D sensors, for human detection, 
tracking and motion analysis in dynamic environments. Primary tasks include 
developing novel algorithms and approaches for enabling the acquisition, 
maintenance and refinement of multiple human motion trajectories for collision 
avoidance and path optimization. Additional tasks include integration of the 
algorithms with the robot navigation and on-board floor inspection 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. 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, multi-target tracking, machine 
learning and robotics middleware would also be an advantage. The successful 
candidate 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 Tom Duckett (email: tduckett at lincoln.ac.uk).

For further information or to apply online please visit our website at 

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

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

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