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We are expanding further our academic staff and PhD research work in the area of musculoskeletal biomechanics at the Research Institute for Sport and Exercise Sciences (RISES) at Liverpool John Moores University (Liverpool, UK). There are number of positions open or to be advertised soon on various projects so please get in touch if you have an interest in any of these posts or areas:
1) Lecturer /Senior Lecturer (Assistant/Associate Professor) in Modelling and Control of Human Movement (focus on musculoskeletal biomechanics modelling and/or control)
The School of Sport and Exercise Sciences, Liverpool John Moores University, UK, seeks to strategically develop its world-leading profile of teaching and research excellence by the appointment of leading academics across the core disciplines of Sport and Exercise Sciences. You will be expected to develop and deliver research-informed/led teaching on modelling, simulation and control of human movement in sports across relevant undergraduate and postgraduate curricula. You will also be expected to develop an independent programme of research enhancing and extending our world-leading activities in the areas of musculoskeletal modelling and neural control. Some select criteria: Experience of using integrated systems for musculoskeletal modelling and human motion simulation and analysis techniques using different imaging methods (e.g., ultrasound, MRI, X-rays, oculography, optoelectronics etc.) Experience of using modelling and simulation software (such as OpenSim, Anybody, Matlab, etc.) for subject-specific neuromusculoskeletal models and computational biomechanics applications in sport or clinical motion analysis
https://jobs.ljmu.ac.uk/vacancy/lecturer-or-senior-lecturer-in-modelling-and-control-of-human-movement-333066.html
Closing Date 02/01/2018
2) Postdoctoral Researcher on musculoskeletal biomechanics with a focus on knee joint modelling and osteoarthritis
This is a new 3 year post starting early in 2018 and is linked to the EU H2020 OACTIVE project on Advanced Personalised, Multi-Scale Computer Models Preventing Osteoarthritis (http://oactive.eu/). The OACTIVE scientific and technological objectives focus on the development of patient-specific computer models and simulation in order to develop appropriate OA prevention interventions or treatments. The project objectives include a Mechanistic modelling framework of the musculoskeletal system for the development of personalized neuromusculoskeletal models that could be used to predict knee OA onset and improve treatment. The postdoctoral researcher will have experience of transforming generic musculoskeletal models to personalized models by scaling anatomic geometry, kinematics and muscle kinetics and activation parameters as well as development of finite element models for the incorporation of detailed bone and cartilage models capable of predicting tissue responses.
3) PhD researcher on musculoskeletal biomechanics with a focus on knee joint modelling and osteoarthritis
This is a PhD research studentship year post starting early in 2018 and is also linked to the OACTIVE project on Advanced Personalised, Multi-Scale Computer Models Preventing Osteoarthritis (http://oactive.eu/). The PhD researcher will be working in collaboration with the LJMU OACTIVE postdoctoral researcher (see above) and some of the other OACTIVE partners (KUL in Belgium and EKETA in Greece) and will have experience of musculoskeletal modelling and simulation tools.
4) PhD researcher on big data analytics and statistical and machine learning models
The OACTIVE project includes a Hypermodelling framework empowered by big data and the development of this hyper-modelling framework requires data management mechanisms, development of data pre-processing algorithms and data mining techniques, identification of patient-specific significant risk factors associated with the onset as well as factors related to OA progression using computational efficient Feature Selection algorithms, development of ICT deep learning infrastructure and design and implementation of personalized predictive Decision Support (DS) models. This PhD researcher of the OACTIVE project will be supervised by Prof. Paulo Lisboa, the Head of the Applied Mathematics Department in the Faculty of Engineering and will focus on computationally efficient diagnostic and predictive models that address specific stages of progression of OA in individual patients. This will include the development of risk models based on uncertainty estimates with statistical and machine learning models, alongside studies of uncertainties associated with mechanistic musculoskeletal models, in particular when fitted to empirical data from an individual subject.
5) PhD research studentship on prevention of musculoskeletal injuries in musicians
This project is a collaboration between the Research Institute for Sport and Exercise Sciences (RISES) at Liverpool John mores University (LJMU), Help Musicians UK and the Royal Liverpool Philharmonic. The main aim of the proposed work is to develop an effective musculoskeletal injury prevention framework for musicians by designing appropriate screening tests for identifying instrument-specific risk factors in different individuals and prescribing targeted interventions for improving musculoskeletal health and promoting general health and wellbeing in Liverpool Philharmonic musicians. We are seeking excellent candidates with expertise in musculoskeletal biomechanics. An undergraduate degree in Physiotherapy is essential in addition to a postgraduate qualification in a related discipline (sport science, physiotherapy, musculoskeletal rehabilitation, human movement, clinical biomechanics etc). Any clinical experience in sport or occupational injury rehabilitation or prevention is highly desirable
https://www.findaphd.com/search/Proj...spx?PJID=93762
Closing date for PhD research studentship on prevention of musculoskeletal injuries in musicians is Friday 19 January 2018
Please note that all the above PhD posts will only be available to UK/EU students.
Informal enquiries for all the above posts can be made by contacting the Head of the Research Institute, Professor Bill Baltzopoulos, who is also leading all these projects at LJMU (tel: 0151 904 6229 email: V.Baltzopoulos@ljmu.ac.uk).
1) Lecturer /Senior Lecturer (Assistant/Associate Professor) in Modelling and Control of Human Movement (focus on musculoskeletal biomechanics modelling and/or control)
The School of Sport and Exercise Sciences, Liverpool John Moores University, UK, seeks to strategically develop its world-leading profile of teaching and research excellence by the appointment of leading academics across the core disciplines of Sport and Exercise Sciences. You will be expected to develop and deliver research-informed/led teaching on modelling, simulation and control of human movement in sports across relevant undergraduate and postgraduate curricula. You will also be expected to develop an independent programme of research enhancing and extending our world-leading activities in the areas of musculoskeletal modelling and neural control. Some select criteria: Experience of using integrated systems for musculoskeletal modelling and human motion simulation and analysis techniques using different imaging methods (e.g., ultrasound, MRI, X-rays, oculography, optoelectronics etc.) Experience of using modelling and simulation software (such as OpenSim, Anybody, Matlab, etc.) for subject-specific neuromusculoskeletal models and computational biomechanics applications in sport or clinical motion analysis
https://jobs.ljmu.ac.uk/vacancy/lecturer-or-senior-lecturer-in-modelling-and-control-of-human-movement-333066.html
Closing Date 02/01/2018
2) Postdoctoral Researcher on musculoskeletal biomechanics with a focus on knee joint modelling and osteoarthritis
This is a new 3 year post starting early in 2018 and is linked to the EU H2020 OACTIVE project on Advanced Personalised, Multi-Scale Computer Models Preventing Osteoarthritis (http://oactive.eu/). The OACTIVE scientific and technological objectives focus on the development of patient-specific computer models and simulation in order to develop appropriate OA prevention interventions or treatments. The project objectives include a Mechanistic modelling framework of the musculoskeletal system for the development of personalized neuromusculoskeletal models that could be used to predict knee OA onset and improve treatment. The postdoctoral researcher will have experience of transforming generic musculoskeletal models to personalized models by scaling anatomic geometry, kinematics and muscle kinetics and activation parameters as well as development of finite element models for the incorporation of detailed bone and cartilage models capable of predicting tissue responses.
3) PhD researcher on musculoskeletal biomechanics with a focus on knee joint modelling and osteoarthritis
This is a PhD research studentship year post starting early in 2018 and is also linked to the OACTIVE project on Advanced Personalised, Multi-Scale Computer Models Preventing Osteoarthritis (http://oactive.eu/). The PhD researcher will be working in collaboration with the LJMU OACTIVE postdoctoral researcher (see above) and some of the other OACTIVE partners (KUL in Belgium and EKETA in Greece) and will have experience of musculoskeletal modelling and simulation tools.
4) PhD researcher on big data analytics and statistical and machine learning models
The OACTIVE project includes a Hypermodelling framework empowered by big data and the development of this hyper-modelling framework requires data management mechanisms, development of data pre-processing algorithms and data mining techniques, identification of patient-specific significant risk factors associated with the onset as well as factors related to OA progression using computational efficient Feature Selection algorithms, development of ICT deep learning infrastructure and design and implementation of personalized predictive Decision Support (DS) models. This PhD researcher of the OACTIVE project will be supervised by Prof. Paulo Lisboa, the Head of the Applied Mathematics Department in the Faculty of Engineering and will focus on computationally efficient diagnostic and predictive models that address specific stages of progression of OA in individual patients. This will include the development of risk models based on uncertainty estimates with statistical and machine learning models, alongside studies of uncertainties associated with mechanistic musculoskeletal models, in particular when fitted to empirical data from an individual subject.
5) PhD research studentship on prevention of musculoskeletal injuries in musicians
This project is a collaboration between the Research Institute for Sport and Exercise Sciences (RISES) at Liverpool John mores University (LJMU), Help Musicians UK and the Royal Liverpool Philharmonic. The main aim of the proposed work is to develop an effective musculoskeletal injury prevention framework for musicians by designing appropriate screening tests for identifying instrument-specific risk factors in different individuals and prescribing targeted interventions for improving musculoskeletal health and promoting general health and wellbeing in Liverpool Philharmonic musicians. We are seeking excellent candidates with expertise in musculoskeletal biomechanics. An undergraduate degree in Physiotherapy is essential in addition to a postgraduate qualification in a related discipline (sport science, physiotherapy, musculoskeletal rehabilitation, human movement, clinical biomechanics etc). Any clinical experience in sport or occupational injury rehabilitation or prevention is highly desirable
https://www.findaphd.com/search/Proj...spx?PJID=93762
Closing date for PhD research studentship on prevention of musculoskeletal injuries in musicians is Friday 19 January 2018
Please note that all the above PhD posts will only be available to UK/EU students.
Informal enquiries for all the above posts can be made by contacting the Head of the Research Institute, Professor Bill Baltzopoulos, who is also leading all these projects at LJMU (tel: 0151 904 6229 email: V.Baltzopoulos@ljmu.ac.uk).