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Supervisors: Dr Claudia Mazzà & Prof Marco Viceconti
A PhD Studentship is available immediately within the Integrated Musculo Skeletal Biomechanics (IMSB) group at the University of Sheffield.
The activity of the PhD candidate will be carried out within the framework of the European project 'Mission-T2D: Multiscale Immune System Simulator for the Onset of Type 2 Diabetes Integrating Genetic, Metabolic and Nutritional Data'. In this framework, a quantification of an individual's daily physical activity is needed to establish the relationship between physical activity and associated energy expenditure and the inflammatory response, with the aim of identifying early diagnostic parameters for Type-2 diabetes.
The student's research will focus on the validation and enhancement of activity monitors for patients with type-2 diabetes, in terms of defining proper instrument calibration procedures and of validation and refinement of motor activity classification and energy expenditure estimation algorithms.
The IMSB group is part of the INSIGNEO Institute for in silico medicine, an initiative between the Faculty of Engineering and the Faculty of Medicine at the University and the Sheffield Teaching Hospitals Foundation Trust. INSIGNEO performs cutting edge research in areas of fundamental and applied biomedical modelling, imaging and informatics and aims to realise the scientific ambition behind the Virtual Physiological Human. In particular, over the next five years, it will focus on the digital patient, in silico clinical trials and personal health forecasting.
We intend to have a transformational impact on healthcare through multidisciplinary collaboration in strategic areas, which will initially include independent, active and healthy ageing and personalised treatments. Our team of academics has an international and interdisciplinary profile and has a strong commitment to clinical and industrial translation.
As part of INSIGNEO, the IMSB group aims to investigate the biomechanical function of the musculoskeletal system for the diagnosis and treatment of neuromusculoskeletal disorders. The group includes a unique mix of expertise, ranging from cellular to whole body level. The PhD student will work under the supervision of Dr Claudia Mazzà, specialist in human movement analysis, and Prof Marco Viceconti, specialist in musculoskeletal modelling, and in close collaboration with the Diabetes Neurophysiology Laboratory of Sheffield Teaching Hospitals NHS.
Candidate Profile
Candiates must hold a master's degree in mechanical engineering, electronic engineering, biomedical engineering or a related discipline. Prior experience with movement analysis and signal processing is required. Experience with wearable devices is preferred, but can also be learned as required.
Candidates should be creative and have the ability to carry out independent research and interact well within an international research team, and with patients. We are interested in individuals with excellent communications skills, who are able to work in an interdisciplinary team and contribute to the visibility of our group in the international scientific community.
Further Information
This position is open to UK and EU citizens only. This studentship covers the cost of tutition fees and provides an annual stipend at the standard UK research rate (£13,726 in 2013/14).
For further information about this post please email Claudia Mazzà (c.mazza@sheffield.ac.uk).
To apply please use our standard on-line PhD application form (http://www.sheffield.ac.uk/postgraduate/research/apply), and indicate on your form that you are replying to this advert, or email me-pgadmit@sheffield.ac.uk for further guidance on applying.
A PhD Studentship is available immediately within the Integrated Musculo Skeletal Biomechanics (IMSB) group at the University of Sheffield.
The activity of the PhD candidate will be carried out within the framework of the European project 'Mission-T2D: Multiscale Immune System Simulator for the Onset of Type 2 Diabetes Integrating Genetic, Metabolic and Nutritional Data'. In this framework, a quantification of an individual's daily physical activity is needed to establish the relationship between physical activity and associated energy expenditure and the inflammatory response, with the aim of identifying early diagnostic parameters for Type-2 diabetes.
The student's research will focus on the validation and enhancement of activity monitors for patients with type-2 diabetes, in terms of defining proper instrument calibration procedures and of validation and refinement of motor activity classification and energy expenditure estimation algorithms.
The IMSB group is part of the INSIGNEO Institute for in silico medicine, an initiative between the Faculty of Engineering and the Faculty of Medicine at the University and the Sheffield Teaching Hospitals Foundation Trust. INSIGNEO performs cutting edge research in areas of fundamental and applied biomedical modelling, imaging and informatics and aims to realise the scientific ambition behind the Virtual Physiological Human. In particular, over the next five years, it will focus on the digital patient, in silico clinical trials and personal health forecasting.
We intend to have a transformational impact on healthcare through multidisciplinary collaboration in strategic areas, which will initially include independent, active and healthy ageing and personalised treatments. Our team of academics has an international and interdisciplinary profile and has a strong commitment to clinical and industrial translation.
As part of INSIGNEO, the IMSB group aims to investigate the biomechanical function of the musculoskeletal system for the diagnosis and treatment of neuromusculoskeletal disorders. The group includes a unique mix of expertise, ranging from cellular to whole body level. The PhD student will work under the supervision of Dr Claudia Mazzà, specialist in human movement analysis, and Prof Marco Viceconti, specialist in musculoskeletal modelling, and in close collaboration with the Diabetes Neurophysiology Laboratory of Sheffield Teaching Hospitals NHS.
Candidate Profile
Candiates must hold a master's degree in mechanical engineering, electronic engineering, biomedical engineering or a related discipline. Prior experience with movement analysis and signal processing is required. Experience with wearable devices is preferred, but can also be learned as required.
Candidates should be creative and have the ability to carry out independent research and interact well within an international research team, and with patients. We are interested in individuals with excellent communications skills, who are able to work in an interdisciplinary team and contribute to the visibility of our group in the international scientific community.
Further Information
This position is open to UK and EU citizens only. This studentship covers the cost of tutition fees and provides an annual stipend at the standard UK research rate (£13,726 in 2013/14).
For further information about this post please email Claudia Mazzà (c.mazza@sheffield.ac.uk).
To apply please use our standard on-line PhD application form (http://www.sheffield.ac.uk/postgraduate/research/apply), and indicate on your form that you are replying to this advert, or email me-pgadmit@sheffield.ac.uk for further guidance on applying.