[Comp-neuro] Post-Doc in Machine Learning for Behaviourmetrics at Imperial College

Faisal, Aldo A a.faisal at imperial.ac.uk
Mon Oct 24 11:41:55 CEST 2011


Machine Learning for disease Behaviourmetrics

Osteoarthritis, specifically of the knee joint affects 8.5 million people in the UK alone, and with a rapidly ageing population the cost-effective diagnosis, understanding and treatment of the disease is becoming rapidly more important. In this context the Human Performance Group led by Professor Alison McGregor works on joint kinetics, kinematics and motor control of the knee as part of the Medical Engineering Solutions in Osteoarthritis Centre of Excellence in the Biodynamics Laboratory at the Charing Cross Hospital Campus (Hammersmith).

In collaboration with the Machine Learning & Motor control group headed by Dr Aldo Faisal (Department of Computing & Department of Bioengineering), we want to explore the feasibility of machine learning techniques, such as latent variable models of time series, to classify and analyse both motor control and joint kinematics (motion) time data to detect the early onset of Osteoarthritis. The aim is to develop biomarkers of disease that are defined not ‘by eye’ but instead in a principled way by machine learning techniques.

This project is part of a greater research program, as Imperial College has been awarded almost £11million over 5 years by the Wellcome Trust and EPSRC for a Medical Engineering Solutions in Osteoarthritis Centre of Excellence.  There are a number of departments, divisions and institutes across Imperial College participating in this Centre which will bring together a critical mass of engineers, clinicians and basic scientists, collaborating to use technology to improve the diagnosis, understanding, surgical management and rehabilitative treatment of osteoarthritis.

As part of this exciting new initiative applications are invited for a Research Associate to work on a 1-year pilot project that will focus on exploring the use of advanced machine learning techniques. The successful applicant will work between the Charing Cross Campus, located in Hammersmith (Clinical group) and the South Kensington Campus (Engineering group).

Applicants should have a PhD or equivalent qualification in computing, physics, engineering or maths and have significant training and experience in machine learning or related fields, such as time series analysis, speech processing or computational neuroscience.

For an informal discussion please contact Professor Alison McGregor email
(a.mcgregor at imperial.ac.uk<mailto:a.mcgregor at imperial.ac.uk>) or Dr Aldo Faisal (a.faisal at imperial.ac.uk)

Our preferred method of application is online via our website http://www3.imperial.ac.uk/employment. Please complete and upload an application form as directed.

Reference number: SM126-11

Research Associate
Salary Range: £27,400 - £34,820 per annum

Closing date: Till filled

--
Dr Aldo Faisal
Ass. Professor in Neurotechnology

Sensorimotor Learning Lab (Bioengineerig)
& Machine Learning Group (Computing)

Dept. of Bioengineering
& Dept. of Computing

www.FaisaLlab.com

Imperial College London
South Kensington Campus
London, SW7 2AZ
UK

http://www3.imperial.ac.uk/people/a.faisal
Tel:  +44 20 759 46373
Fax: +44 20 759 49817
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