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Two PhD positions in Biomedical Engineering with focus on mechanobiological modeling - Lund University
Mechanobiological modeling of regeneration and degeneration of soft musculoskeletal tissuesThe research in the biomechanics group at Lund University is focused on understanding the link between mechanics and biology in the musculoskeletal system, including related pathologies and repair of skeletal tissues. Experimental studies, tissue characterization, imaging, and computational simulation techniques are used. The research is applied to problems in orthopaedics to develop better methods to understand and improve repair of musculoskeletal tissues.
We are looking for 2 PhD students to be dedicated to the following projects:
Project 1: Tendons connect muscles to bones and enable energy-efficient locomotion. The Achilles tendon is the largest and the most injured tendon in the human body. Ruptures often occur during recreational sport activities but can also be a result of ageing. Mechanical loading is a prerequisite for tendon healing. Controversial and often unsuccessful treatments of tendon ruptures could be improved by elucidating how loading affects the mechanobiological aspects of tendon healing. This position is within a larger project with the scope to elucidate how mechanical loading affects tendon regeneration.
Project 2: Osteoarthritis (OA) is a common joint disease affecting over 40 million Europeans. The number of patients with OA will increase by over 70% in developed countries during the next 20 years, while direct and indirect costs are estimated to increase by over 300%. The most cost-effective and helpful treatment for the disease would simply be prevention. Since the progression of OA is highly subject-specific, prevention of the disease can only be possible when the progression can be predicted for an individual patient. The position is within a project with the overall aim to develop a tool to predict the onset and progression of osteoarthritis in the knee joint tissues due to daily loading conditions. The consortium will combine patient-specific motion analysis and computational modelling approaches for OA diagnostics, personalized prediction, and optimal treatment.
Approach: Both projects include designing and developing numerical framework, followed by simulations and data analysis. Understanding and utilizing experimentally available data is important.
Admission requirements can be found here:
https://lu.varbi.com/en/what:job/jobID:439902/
Assessment criteria
Instructions on how to apply
Applications shall be written in English and include a cover letter stating the reasons why you are interested in the position and in what way the research project corresponds to your interests and educational background. The application must also contain a CV, degree certificate or equivalent, and other documents you wish to be considered (grade transcripts, contact information for your references, letters of recommendation, etc.).
To apply, please click the button "Login and apply" on the following website: https://lu.varbi.com/en/what:job/jobID:439902/
For more information, please do not hesitate to contact Prof. Hanna Isaksson at hanna.isaksson@bme.lth.se.
Mechanobiological modeling of regeneration and degeneration of soft musculoskeletal tissuesThe research in the biomechanics group at Lund University is focused on understanding the link between mechanics and biology in the musculoskeletal system, including related pathologies and repair of skeletal tissues. Experimental studies, tissue characterization, imaging, and computational simulation techniques are used. The research is applied to problems in orthopaedics to develop better methods to understand and improve repair of musculoskeletal tissues.
We are looking for 2 PhD students to be dedicated to the following projects:
Project 1: Tendons connect muscles to bones and enable energy-efficient locomotion. The Achilles tendon is the largest and the most injured tendon in the human body. Ruptures often occur during recreational sport activities but can also be a result of ageing. Mechanical loading is a prerequisite for tendon healing. Controversial and often unsuccessful treatments of tendon ruptures could be improved by elucidating how loading affects the mechanobiological aspects of tendon healing. This position is within a larger project with the scope to elucidate how mechanical loading affects tendon regeneration.
Project 2: Osteoarthritis (OA) is a common joint disease affecting over 40 million Europeans. The number of patients with OA will increase by over 70% in developed countries during the next 20 years, while direct and indirect costs are estimated to increase by over 300%. The most cost-effective and helpful treatment for the disease would simply be prevention. Since the progression of OA is highly subject-specific, prevention of the disease can only be possible when the progression can be predicted for an individual patient. The position is within a project with the overall aim to develop a tool to predict the onset and progression of osteoarthritis in the knee joint tissues due to daily loading conditions. The consortium will combine patient-specific motion analysis and computational modelling approaches for OA diagnostics, personalized prediction, and optimal treatment.
Approach: Both projects include designing and developing numerical framework, followed by simulations and data analysis. Understanding and utilizing experimentally available data is important.
Admission requirements can be found here:
https://lu.varbi.com/en/what:job/jobID:439902/
Assessment criteria
- Knowledge and skills relevant to the thesis project and the subject of study.
- An assessment of ability to work independently and to formulate and tackle research problems.
- Written and oral communication skills
- Other experience relevant to the third-cycle studies, e.g. professional experience.
- Knowledge in constitutive modelling and the finite element method is important.
- Knowledge in biomechanics, preferably musculoskeletal soft tissues, is considered positive.
- Experience from modelling biological tissue in the human body is considered positive.
- Experience with simulation software for material modeling (e.g. Abaqus), and scientific programming (e.g. Matlab, Python, C++) is considered positive.
- Experience from multidisciplinary environments is considered positive.
- International experience is considered positive.
Instructions on how to apply
Applications shall be written in English and include a cover letter stating the reasons why you are interested in the position and in what way the research project corresponds to your interests and educational background. The application must also contain a CV, degree certificate or equivalent, and other documents you wish to be considered (grade transcripts, contact information for your references, letters of recommendation, etc.).
To apply, please click the button "Login and apply" on the following website: https://lu.varbi.com/en/what:job/jobID:439902/
For more information, please do not hesitate to contact Prof. Hanna Isaksson at hanna.isaksson@bme.lth.se.