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PhD students for patient-specific musculoskeletal and numerical bone
models
Osteoarthritis (OA) is a disabling disease, affecting the joints of 40%
or more of the population over 60. Fully degenerated joints can be
replaced with a prosthesis: well over 1,000,000 joint replacements are
performed annually in the EU.
Clinical results of shoulder prostheses are less good than the results
of hip or knee prostheses. To optimize the function and longevity of
shoulder prostheses, a pre-operative planning system is being developed
that uses patient-specific biomechanical models for optimal placement of
the prosthesis.
The Dept. of Biomechanical Engineering (TU Delft) is looking for two PhD
candidates:
1. Numerical bone models
2. Musculoskeletal models
PhD candidate 1:
Your task will be to create and validate patient-specific integrated
biomechanical models by integrating numerical bone models and a
musculoskeletal model (Delft Shoulder and Elbow Model). The numerical
bone model will be scaled based on available radiographic patient data
and using three-dimensional statistical shape models. Results will be
used for patient-specific predictions of longevity of the prosthesis.
PhD candidate 2:
Your task will be to scale the morphological parameters of the Delft
Shoulder and Elbow Model based on statistical shape models of the soft
tissues in the upper extremity, in order to obtain patient-specific
predictions of the functionality. The results will be compared with
functional recordings of ADL motions, and will be input for the
numerical bone models (see PhD candidate 1).
Both PhDs will perform their research in a multi-disciplinary team
based at the Department of Biomechanical Engineering, Faculty of 3mE ,
TU Delft, and at the Department of Orthopaedics of Leiden University
Medical Center. The project is part of a 7th Framework Project of the
European Union.
We are looking for candidates with an MSc in Mechanical Engineering,
Biomedical Engineering or Human Movement Sciences. PhD candidate 1
should have experience in finite element and continuum modelling of bone
and implants. The candidate should have experience working with tools
such as MARC and MSC Patran. In addition, the candidate should be able
to work in a LINUX environment using parallel computing strategies on a
computer cluster. Experience in modelling of the musculoskeletal system
and image processing is a pre. PhD candidate 2 should have experience
with musculoskeletal models, neuromuscular control, motion recording and
EMG systems. Experience with image processing is a pre.
Both candidates should be able to communicate fluently in English.
Experience with working in a multi-disciplinary research environment
where engineers and clinicians collaborate is considered important.
Please send your job applications to:
Prof.dr. Frans C.T. van der Helm
Dept. of Biomechanical Engineering
Delft University of technology
e-mail: F.C.T.vanderHelm@TUDelft.nl
website: www.bmeche.tudelft.nl
************************************************** *********************
Prof. Frans C.T. van der Helm, PhD
Biomechatronics & Bio-Robotics group
Dept. of Biomechanical Engineering Biomechanical Engineering
Group
Fac. of Mechanical Engineering Dept. of Mechanical
Engineering
Delft University of Technology University of Twente
Mekelweg 2 P.O. Box 217
2628 CD Delft 7500 AE
Enschede
The Netherlands The Netherlands
http://www.bmeche.tudelft.nl/
http://www.bw.ctw.utwente.nl/
tel. (+31)-15-2785616 tel.
(+31)-53-4892517/4894428
fax. (+31)-15-2784717 fax.
(+31)-53-4893695
e-mail: F.C.T.vanderHelm@tudelft.nl
e-mail: F.C.T.vanderHelm@ctw.utwente.nl
************************************************** *********************
models
Osteoarthritis (OA) is a disabling disease, affecting the joints of 40%
or more of the population over 60. Fully degenerated joints can be
replaced with a prosthesis: well over 1,000,000 joint replacements are
performed annually in the EU.
Clinical results of shoulder prostheses are less good than the results
of hip or knee prostheses. To optimize the function and longevity of
shoulder prostheses, a pre-operative planning system is being developed
that uses patient-specific biomechanical models for optimal placement of
the prosthesis.
The Dept. of Biomechanical Engineering (TU Delft) is looking for two PhD
candidates:
1. Numerical bone models
2. Musculoskeletal models
PhD candidate 1:
Your task will be to create and validate patient-specific integrated
biomechanical models by integrating numerical bone models and a
musculoskeletal model (Delft Shoulder and Elbow Model). The numerical
bone model will be scaled based on available radiographic patient data
and using three-dimensional statistical shape models. Results will be
used for patient-specific predictions of longevity of the prosthesis.
PhD candidate 2:
Your task will be to scale the morphological parameters of the Delft
Shoulder and Elbow Model based on statistical shape models of the soft
tissues in the upper extremity, in order to obtain patient-specific
predictions of the functionality. The results will be compared with
functional recordings of ADL motions, and will be input for the
numerical bone models (see PhD candidate 1).
Both PhDs will perform their research in a multi-disciplinary team
based at the Department of Biomechanical Engineering, Faculty of 3mE ,
TU Delft, and at the Department of Orthopaedics of Leiden University
Medical Center. The project is part of a 7th Framework Project of the
European Union.
We are looking for candidates with an MSc in Mechanical Engineering,
Biomedical Engineering or Human Movement Sciences. PhD candidate 1
should have experience in finite element and continuum modelling of bone
and implants. The candidate should have experience working with tools
such as MARC and MSC Patran. In addition, the candidate should be able
to work in a LINUX environment using parallel computing strategies on a
computer cluster. Experience in modelling of the musculoskeletal system
and image processing is a pre. PhD candidate 2 should have experience
with musculoskeletal models, neuromuscular control, motion recording and
EMG systems. Experience with image processing is a pre.
Both candidates should be able to communicate fluently in English.
Experience with working in a multi-disciplinary research environment
where engineers and clinicians collaborate is considered important.
Please send your job applications to:
Prof.dr. Frans C.T. van der Helm
Dept. of Biomechanical Engineering
Delft University of technology
e-mail: F.C.T.vanderHelm@TUDelft.nl
website: www.bmeche.tudelft.nl
************************************************** *********************
Prof. Frans C.T. van der Helm, PhD
Biomechatronics & Bio-Robotics group
Dept. of Biomechanical Engineering Biomechanical Engineering
Group
Fac. of Mechanical Engineering Dept. of Mechanical
Engineering
Delft University of Technology University of Twente
Mekelweg 2 P.O. Box 217
2628 CD Delft 7500 AE
Enschede
The Netherlands The Netherlands
http://www.bmeche.tudelft.nl/
http://www.bw.ctw.utwente.nl/
tel. (+31)-15-2785616 tel.
(+31)-53-4892517/4894428
fax. (+31)-15-2784717 fax.
(+31)-53-4893695
e-mail: F.C.T.vanderHelm@tudelft.nl
e-mail: F.C.T.vanderHelm@ctw.utwente.nl
************************************************** *********************