|
Postdoctoral Research
Associate - Ref 28/10/W
A
Research Associate post is available for 1 year in the general
area of Autonomous Systems Research. Specific topics under study
include:
·
Collaborative
planning for co-ordination of multiple autonomous underwater
vehicles
·
Intelligent search
and reactive data gathering during underwater survey
·
Autonomous
intervention using co-operating surface and underwater vehicles
·
Engineering of
essential software architectures
You will
join an active research group, the Oceans Systems Laboratory (OSL)
in the Dept of Electrical, Electronic and Computer Engineering
in the School of Engineering and Physical Sciences.
http://www.oceansystemslab-heriotwatt.com/
The
laboratory is internationally recognised as a centre of
excellence in the research of underwater systems, with
particular emphasis on autonomous systems and vehicles, acoustic
systems modelling and design, sonar & video signal processing
and data fusion. With a multi-national staff of over 20, the
Laboratory works internationally with industry, government and
research organisations. Sponsors include EPSRC, EU,
international blue chip corporates in the oil/gas and aerospace
industries, the UK MoD and the US Office of Naval Research. The
laboratory is twice winner of the SAUC-E Student Autonomous
Underwater Challenge – Europe
http://www.dstl.gov.uk/news_events/competitions/sauce/index.php
The laboratory is also part of the Edinburgh Research
Partnership Joint Research Institute in Signal and Image
Processing between Heriot-Watt and Edinburgh Universities
http://www.erp.ac.uk/sip/home_sip.html)
Candidates should normally hold a good first and/or a
post-graduate degree in a relevant engineering or scientific
discipline. Industrial or other academic experience in robotic
or embedded systems would be advantageous. Software skills are
essential, particularly in C++, JAVA or ontology environments.
Other relevant skills might include an understanding of AI
methods and/or a good grounding in statistical signal processing
and mathematical methods. Appointees should be able to develop
ideas independently, and be prepared to work with others to
refine and validate their approach.
Informal
enquiries may be made to: Professor David Lane
D.M.lane@hw.ac.uk and Professor Yvan Petillot
Y.R.Petillot@hw.ac.uk
Ref
32/10/W
Closing
date: 26 March 2010 |