[Comp-neuro] Postdoctoral Fellowships in Robotics and Adaptive Control @ Edinburgh, UK

Sethu Vijayakumar sethu.vijayakumar at ed.ac.uk
Mon Jan 26 16:32:40 CET 2009



TWO Postdoctoral Research Fellows in Robotics and Adaptive Control

Applications are invited for two Postdoctoral Research Fellows in the
area of Learning Robotics and Adaptive Control as part of an
EU-IST FP7 funded project. The posts are available from Mar. 2009 for a
maximum of 34 months and located in the School of Informatics at the
University of Edinburgh. Salary is on the UE07 scale (£29,704-£35,469)
with annual increments and full staff benefits.
Placement for the post is according to experience and qualifications.

Post One: Robotics and Adaptive Control:
The candidate is expected to have good fundamentals in control theory
and most importantly, hands on experience with writing software and
controlling robotic hardware. The appointee will be responsible for
direct implementation of adaptive control paradigms on biophysical
simulations and on state-of-the-art novel variable impedance actuators.

Post Two: Statistical Learning and Adaptive Control Theory:
The candidate is expected to have a strong background in optimization,
statistical learning and adaptive control theory and some familiarity
of concepts such as direct policy learning, stochastic dynamic programming
and optimal feedback control. An interest and knowledge of variable
impedance strategies in human motor control is a definite advantage.
The appointee will be responsible for development of effective adaptive
control strategies and algorithms that exploit variable stiffness paradigms.

Both posts will involve traveling to project partner meetings around
Europe, periodic reporting at EU reviews as well as attending and
disseminating work at international conference. The post also assumes
leadership roles and some level of PhD supervision on topics relevant
to the project.

The successful candidates will have a PhD (or expected completion) in the
area of (learning) robotics, probabilistic machine learning and/or
adaptive motor control; strong mathematical skills in the area of
optimization, algebra and control theory; strong programming skills in  
C, C++, MATLAB or equivalent; some experience with writing software  
and control of real
hardware systems; a good understanding of adaptive control paradigms

More details of the job and the research group can be found at:

Applicants are asked to submit your curriculum vitae including a statement
of interest justifying your suitability for the post you are applying for
and contact details of two referees using the online application procedure at:


Application Deadline: February 20, 2009

Informal enquiries may be addressed to:
Dr. Sethu Vijayakumar (sethu.vijayakumar [at] ed.ac.uk)

Sethu Vijayakumar, Ph.D.              Reader (Associate Professor)
Director, IPAB, School of Informatics, The University of Edinburgh
1.28 Informatics Forum, 10 Crichton Street, Edinburgh EH8 9AB,  UK
URL: http://homepages.inf.ed.ac.uk/svijayak Ph: +44(0)131 651 3444
SLMC Research Group URL: http://www.ipab.informatics.ed.ac.uk/slmc
Adjunct Faculty, Department of Computer Science
University of Southern California, Los Angeles, CA, USA 90089-0781
Microsoft Research & Royal Academy of Engg. Senior Research Fellow

The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.

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