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15 Research fellow positions - EU funded KNEEMO network for knee osteoarthritis

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  • 15 Research fellow positions - EU funded KNEEMO network for knee osteoarthritis

    KNEEMO is an Initial Training Network (ITN) funded by the European Union under the Marie Curie Actions in Framework Programme 7. It aims to train up a new generation of research leaders in the field of knee osteoarthritis, focussing on prevention and personalised interventions. The network runs from April 2014 to April 2018 and is now recruiting 15 research fellows: 11 Early-Stage Researchers (ESRs: PhD students) and 4 Experienced Researchers (ERs; post-docs).

    KNEEMO is led from Glasgow Caledonian University, and includes VU University Medical Centre Amsterdam, University of Münster, Aalborg University, University of Southern Denmark, Paracelsus University Salzburg, XSens and Peacocks as full partners.

    All KNEEMO fellows will receive an extensive international training programme, including network-level training events, secondments to other institutions, and an on-line community.
    If you are interested in applying for one of the 15 fellow positions, please note the eligibility criteria, in particular:
    To be eligible for any position, you cannot have resided, or had your main place of work, in that country for more than 12 months out of the last 3 years.
    Please contact the listed project leads to discuss requirements and further details for all these projects.
    For general information on the KNEEMO Initial Training Network, please contact Martijn Steultjens (
    For general information on EU Marie Curie-funded Initial Training Networks please consult the EU website

    Research vacancies Glasgow Caledonian University – ESR1 and ESR2
    ESR1: Structure and biomechanics of the knee joint
    This fellow will identify relationships between knee joint structure and its biomechanics during physical activity, and will evaluate a newly developed detailed and personalised computer model of the human knee joint
    ESR 2: Subgroup classification in knee osteoarthritis
    This epidemiological study aims to identify and validate subgroups of patients who share a common underlying disease mechanism explaining outcome
    Info: Martijn Steultjens (

    Research vacancies VU University MC Amsterdam – ESR3 and ESR4
    ESR3: Biofeedback: intervention and evaluation
    This study will look at the use of real-time feedback of biomechanical parameters during walking as a rehabilitation intervention.
    Info: Jaap Harlaar (via Wessel Haytink:

    ESR4: Custom orthotics in knee osteoarthritis
    This is an intervention study exploring the feasibility and effectiveness of orthotic (knee brace) intervention in patients with knee osteoarthritis.
    Info: Joost Dekker (via Wessel Haytink:

    Research vacancies University of Münster – ESR5 and ESR6
    ESR5: Joint load reduction during physical activity
    This study will identify knee joint loading patterns during physical activity and will evaluate changes in these patterns due to biomechanical interventions.

    ESR6: Physical activity in daily life
    This epidemiological study aims to identify levels of free-living physical activity in daily life in patients with knee osteoarthritis, and determinants thereof
    Info: Dieter Rosenbaum (

    Research vacancies University of Southern Denmark – ESR7 and ESR8
    ESR7: Evidence synthesis on biomechanical pathways
    An extensive evidence synthesis on biomechanical pathways in knee OA will be the core of activity. Through critical appraisal of literature the student will establish biomechanical pathways in early knee OA and extract estimates of the strength of these biomechanical pathways in explaining outcome in OA

    ESR8: Dose-response of biomechanical interventions
    This study will use evidence synthesis to identify dose-response effects of biomechanical interventions in knee osteoarthritis, applying similar methodology to ESR7.

    Info: Ewa Roos / Hans Lund (

    Research vacancies Aalborg University – ESR9 and ER1
    ESR9: Customisable knee joint modelling
    This project will utilise advanced computer modelling and simulations in the AnyBody Modeling System to develop and validate a fully scalable and customisable knee joint model using anatomical, physiological and biomechanical data.

    ER1: Personalised knee joint model for osteoarthritis
    This fellow will work to apply the generic knee model to the specific case of knee osteoarthritis, incorporating advanced modelling and simulations.
    Info: Mark de Zee (

    Research vacancies Paracelsus Medical University Salzburg – ESR10 and ER3
    ESR10: Muscle morphology and disease progression
    This study aims to identify the role of muscle tissue characteristics in predicting disease progression, using newly collected data from large cohort studies

    ER3: Predictive value of structural and physiological factors on outcome in knee osteoarthritis
    Expanding on the work of ESR10, this study will take a more comprehensive look at structural and physiological determinants of disease outcome.
    Info: Wolfgang Wirth (

    Research vacancies XSens – ESR11 and ER2
    ESR11: Remote sensing measurement systems for joint motion and load
    This fellow will develop remote-sensing measurement system for free-living physical activity and joint load monitoring.

    ER 2: Gait analysis in free-living environments
    Building on ESR11’s work, this fellow will apply the system in an arthritis patient group, establishing real-life joint load and the system’s measurement qualities
    Info: Henk Luinge (

    Research vacancy Peacocks Medical Group – ER4

    ER4: Personalised knee braces for knee osteoarthritis
    This project aims to develop a highly personalised knee brace using additive manufacturing techniques, and to establish feasibility, applicability and patient compliance.
    Info: Jari Pallari (