Research Fellow - Strokeback
University of Southampton - Communications, Signal Processing & Control
Location: Highfield Campus
Salary: £27,578
Full Time Fixed Term
Closing Date: Thursday 23 February 2012
Interview Date: To be confirmed
Reference: 085612FP
Applications are invited for a Research Fellow position in Communications, Signal Processing & Control, Electronics and Computer Science. The Unit is the largest of its kind in the UK and in the last Research Assessment Exercise (in 2008) Computer Science was ranked joint second in the UK for the quality of its research, with 85 per cent of its research work being rated as either world leading or internationally excellent.
The successful candidate will work on the StrokeBack project which intends to develop an automated remote rehabilitation system by blending advances of ICT and practical clinical knowledge that will empower the patients and their immediate carer for effective application of the rehabilitation protocol in home settings. StrokeBack will combine state-of-the-art monitoring devices forming a wireless Body Area Network that enables simultaneous measurement of multiple vital parameters and currently executed movements that are particularly of interest from a Stroke rehabilitation point of view. The measured parameters will be fused using advanced feature extraction and classification algorithms processed on-body, which will denote the accuracy of the executed exercise.More specifically, the task will involve ultra low-power VLSI circuit development for computationally intensive signal processing parts such as signal denoising, artefact separation, feature extraction and movement classification. In addition, novel methods for movement analysis using a restricted number of accelerometers/goniometers on a patients' body will be developed.
You will have a PhD in VLSI signal processing with in-depth knowledge of low-power hardware development (FPGA/ASIC) and algorithm formulation. Candidates who are about to submit their PhD thesis and can start work from February 2012 are also eligible.
You will be an expert in Matlab, high-level hardware description language, Xilinx/Altera FPGA, Synopsys Synthesis tool, and Cadence design system for ASIC design. Knowledge in Wireless Sensor Network, accelerometer operation principle and biomedical signal processing are also very much desirable.
This post is fixed term until September 2014.
The closing date for this post is 22nd February 2012. Please apply online through www.jobs.soton.ac.uk or alternatively telephone 023 8059 2750 for an application form. Please quote vacancy reference number 085612FP on all correspondence.
Further details:
We aim to be an equal opportunities employer and welcome applications from all sections of the community. Please note that applications from agencies will not be accepted unless indicated in the job advert.
Click here for Employer Profile Salary: £27,578
Full Time Fixed Term
Closing Date: Thursday 23 February 2012
Interview Date: To be confirmed
Reference: 085612FP
Applications are invited for a Research Fellow position in Communications, Signal Processing & Control, Electronics and Computer Science. The Unit is the largest of its kind in the UK and in the last Research Assessment Exercise (in 2008) Computer Science was ranked joint second in the UK for the quality of its research, with 85 per cent of its research work being rated as either world leading or internationally excellent.
The successful candidate will work on the StrokeBack project which intends to develop an automated remote rehabilitation system by blending advances of ICT and practical clinical knowledge that will empower the patients and their immediate carer for effective application of the rehabilitation protocol in home settings. StrokeBack will combine state-of-the-art monitoring devices forming a wireless Body Area Network that enables simultaneous measurement of multiple vital parameters and currently executed movements that are particularly of interest from a Stroke rehabilitation point of view. The measured parameters will be fused using advanced feature extraction and classification algorithms processed on-body, which will denote the accuracy of the executed exercise.More specifically, the task will involve ultra low-power VLSI circuit development for computationally intensive signal processing parts such as signal denoising, artefact separation, feature extraction and movement classification. In addition, novel methods for movement analysis using a restricted number of accelerometers/goniometers on a patients' body will be developed.
You will have a PhD in VLSI signal processing with in-depth knowledge of low-power hardware development (FPGA/ASIC) and algorithm formulation. Candidates who are about to submit their PhD thesis and can start work from February 2012 are also eligible.
You will be an expert in Matlab, high-level hardware description language, Xilinx/Altera FPGA, Synopsys Synthesis tool, and Cadence design system for ASIC design. Knowledge in Wireless Sensor Network, accelerometer operation principle and biomedical signal processing are also very much desirable.
This post is fixed term until September 2014.
The closing date for this post is 22nd February 2012. Please apply online through www.jobs.soton.ac.uk or alternatively telephone 023 8059 2750 for an application form. Please quote vacancy reference number 085612FP on all correspondence.
Further details:
We aim to be an equal opportunities employer and welcome applications from all sections of the community. Please note that applications from agencies will not be accepted unless indicated in the job advert.
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