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3 open PhD / PostDoc positions with up to 100% contract 1 year +
We are seeking three highly motivated people with a background in physics, biology, computer science, mechanical engineering, biomedical engineering or related field and interested in biophysics, biomechanics, biological cybernetics or biorobotics research to be hired as soon as possible.
Position 1: Computational biomechanics of the human spine
Prior experience with computer simulations in biomechanics is a plus
You will work together with health insurance companies, surgeons in the clinic and especially bioengineers in Germany and Australia.
Position 2: Movement generation using a biophysical arm model
Prior experience in applying machine learning techniques is a plus
You will work together with computer scientists within a neurorobotics framework in which we will study machine learning and biomechanics.
Position 3: Technical and biological control concepts
Prior experience in cybernetics, especially in the biological field, is a plus
You will work within the newly founded graduate school “Soft tissue robotics” which is funded by the DFG. A stay abroad in Auckland / NZ is mandatory.
You will be part of our group and the Stuttgart Centre for Simulation Sciences. You will directly collaborate with people working in fields as diverse as computational biomechanics, mechanobiology, muscle physiology, systems biology, cybernetics, physics, computer science, civil and mechanical engineering.
Your profile: A master’s or diploma degree with background in physics, biology, computer science, mechanical engineering, biomedical engineering or related field. High motivation and research interests in biophysics, biomechanics, biological cybernetics or biorobotics. Excellent command of oral and written English with basic knowledge of the German language and good programming skills are mandatory. The status of near completion for master (or equivalent) degree can be considered.
Interested? Please send your application as one PDF file to Jun.-Prof. Dr. Syn Schmitt, Biomechanics and Biorobotics, schmitt@simtech.uni-stuttgart.de.
The single pdf file should include a cover letter, the CV, the transcript of relevant degrees, links to your own publications and/or your master thesis. Please indicate the possible starting date for your contract. In case that you have further questions, please feel free to contact us or stream our website: http://www.inspo.uni-stuttgart.de/aVI/index.en.html. The University Stuttgart wishes to increase the proportion of female academic staff and, for this reason, especially welcomes applications from women. Severely challenged persons will be given preference in case of equal qualifications (Date of announcement: February, 17th 2017).
Recent publications from our group
A. Bayer, S. Schmitt, M. Günther, D. Haeufle. The influence of biophysical muscle properties on simulating fast human arm movements. Computer Methods in Biomechanics and Biomedical Engineering, in press, 2017.
K. Ghazi-Zahedi, D. F. B. Haeufle, G. Montúfar, S. Schmitt, N. Ay. Evaluating morphological computation in muscle and dc-motor driven models of hopping movements. Frontiers in Robotics and AI, 3:42, 2016.
D. F. B. Haeufle, M. Günther, G. Wunner, S. Schmitt. Quantifying control effort of biological and technical movements: An information-entropy-based approach. Physical Review E, 89(1):012716, 2014.
T. K. Rupp, W. Ehlers, N. Karajan, M. Günther, S. Schmitt. A forward dynamics simulation of human lumbar spine flexion predicting the load sharing of intervertebral discs, ligaments, and muscles. Biomechanics and Modeling in Mechanobiology, 14(5):1081–1105, 2015.
S. Schmitt, D. F. B. Haeufle, R. Blickhan, M. Günther. Nature as an engineer: one simple concept of a bio inspired functional artificial muscle. Bioinspiration & Biomimetics, 7(3):036022, 2012.
We are seeking three highly motivated people with a background in physics, biology, computer science, mechanical engineering, biomedical engineering or related field and interested in biophysics, biomechanics, biological cybernetics or biorobotics research to be hired as soon as possible.
Position 1: Computational biomechanics of the human spine
Prior experience with computer simulations in biomechanics is a plus
You will work together with health insurance companies, surgeons in the clinic and especially bioengineers in Germany and Australia.
Position 2: Movement generation using a biophysical arm model
Prior experience in applying machine learning techniques is a plus
You will work together with computer scientists within a neurorobotics framework in which we will study machine learning and biomechanics.
Position 3: Technical and biological control concepts
Prior experience in cybernetics, especially in the biological field, is a plus
You will work within the newly founded graduate school “Soft tissue robotics” which is funded by the DFG. A stay abroad in Auckland / NZ is mandatory.
You will be part of our group and the Stuttgart Centre for Simulation Sciences. You will directly collaborate with people working in fields as diverse as computational biomechanics, mechanobiology, muscle physiology, systems biology, cybernetics, physics, computer science, civil and mechanical engineering.
Your profile: A master’s or diploma degree with background in physics, biology, computer science, mechanical engineering, biomedical engineering or related field. High motivation and research interests in biophysics, biomechanics, biological cybernetics or biorobotics. Excellent command of oral and written English with basic knowledge of the German language and good programming skills are mandatory. The status of near completion for master (or equivalent) degree can be considered.
Interested? Please send your application as one PDF file to Jun.-Prof. Dr. Syn Schmitt, Biomechanics and Biorobotics, schmitt@simtech.uni-stuttgart.de.
The single pdf file should include a cover letter, the CV, the transcript of relevant degrees, links to your own publications and/or your master thesis. Please indicate the possible starting date for your contract. In case that you have further questions, please feel free to contact us or stream our website: http://www.inspo.uni-stuttgart.de/aVI/index.en.html. The University Stuttgart wishes to increase the proportion of female academic staff and, for this reason, especially welcomes applications from women. Severely challenged persons will be given preference in case of equal qualifications (Date of announcement: February, 17th 2017).
Recent publications from our group
A. Bayer, S. Schmitt, M. Günther, D. Haeufle. The influence of biophysical muscle properties on simulating fast human arm movements. Computer Methods in Biomechanics and Biomedical Engineering, in press, 2017.
K. Ghazi-Zahedi, D. F. B. Haeufle, G. Montúfar, S. Schmitt, N. Ay. Evaluating morphological computation in muscle and dc-motor driven models of hopping movements. Frontiers in Robotics and AI, 3:42, 2016.
D. F. B. Haeufle, M. Günther, G. Wunner, S. Schmitt. Quantifying control effort of biological and technical movements: An information-entropy-based approach. Physical Review E, 89(1):012716, 2014.
T. K. Rupp, W. Ehlers, N. Karajan, M. Günther, S. Schmitt. A forward dynamics simulation of human lumbar spine flexion predicting the load sharing of intervertebral discs, ligaments, and muscles. Biomechanics and Modeling in Mechanobiology, 14(5):1081–1105, 2015.
S. Schmitt, D. F. B. Haeufle, R. Blickhan, M. Günther. Nature as an engineer: one simple concept of a bio inspired functional artificial muscle. Bioinspiration & Biomimetics, 7(3):036022, 2012.
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