UK:Research Associate University of Sheffield in Department of Automatic Control and Systems Engineering

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Job Reference Number: UOS006845

Duration: This post is fixed-term from 1 September 2013 or shortly thereafter to 31 August 2016 with the potential for renewal for a further 3 years.

Faculty: Faculty of Engineering

Salary: Grade 7, £28,685 to £31,331 per annum,

Closing Date: 16 August 2013

Summary:

The Insigneo Institute for in silico Medicine is an initiative between the Faculty of Engineering and the Faculty of Medicine at the University of Sheffield and the Sheffield Teaching Hospitals Foundation Trust. Insigneo intends to realise the scientific ambition behind the Virtual Physiological Human, producing a transformational impact on healthcare. While recently established, Insigneo is already considered one of worldwide-leading institutions in the area of in silico medicine research. For more information on Insigneo please see our web pages:http://www.insigneo.org.

Automatic Control and Systems Engineering (ACSE) is one of the largest departments devoted to the subject in Europe, with 24 academic staff, 28 research staff, 20 professional and support staff and nearly 400 taught and research students. We are an internationally leading research department with a vibrant culture spanning all aspects of Systems and Control Engineering. Our research addresses many of the complex issues of modern life including problems in the life-sciences and healthcare, aerospace and transport, energy and the environment, manufacturing and robotics and, more recently, social policy. Our approach to these challenges focuses on generic theoretical developments in complex systems with an overarching emphasis on autonomy and decision-making. For more information on the Department please see our web sitehttp://www.shef.ac.uk/acse.

We are seeking to appoint a Research Associate (postdoctoral researcher) to work on the £6.7M Frontier Engineering grant from the Engineering and Physical Sciences Research Council (EPSRC), ‘Modelling Complex and Partially Identified Engineering Problems – Application to the Individualised Multi-scale Simulation of the Musculoskeletal System’. This post offers an outstanding opportunity to work with a multidisciplinary team of researchers involving the Centre for Signal Processing and Complex Systems and the INSIGNEO Institute for in silico Medicine. The research forms part of a five-year programme to create a new multiscale system identification framework and apply it to the human musculoskeletal system. The engineering-based model of an individual patient’s musculoskeletal makeup will be able to reduce soaring treatment costs for chronic bone disorders by predicting disease development and enabling better treatment. It will simultaneously capture processes at a cellular scale right up to the whole body.

The successful applicant will have knowledge in system identification, data based modelling and signal processing, and have good overall IT skills. The post holder will be working in the Centre for Signal Processing and Complex Systems in the Department of Automatic Control and Systems Engineering and will report to Professor Steve Billings. The position will incur close collaboration with INSIGNEO institute for in-silico medicine. The post is full time and available for three years.

Eligibility: Applicants should have a good honours degree, hold, or be near completion of, a PhD (or equivalent research experience) in a related discipline such as control and systems engineering, electrical engineering, mechanical engineering, or computer science, and have a track record of research and publications in peer-reviewed journals and conferences.

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