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The Munich Institute of Robotics and Machine Intelligence at the Technical University of Munich is looking for an outstanding applicant for a PhD position in Machine Learning/ pattern recognition of bionic upper-limb devices in activities of daily living.
About us
Located in the prosperous capital of Bavaria and home to over 39000 students, the Technical University of Munich (TUM) is one of the world’s top universities (top 3 European technical universities in THE World University Ranking, top 50 in Shanghai Ranking, top 10 in Global University Employability Ranking, etc.) and home to one of the most vibrant environments in robotics research, industry and startups. It is com-mitted to excellence in research and teaching, interdisciplinary education, and the active promotion of promising young scientists. TUM benefits from the healthy mix of companies and startups of all sizes headquartered in the region and is tightly connected to regional research hospitals. The university also forges strong links with companies and scientific institutions across the world. The Munich Institute of Robotics and Machine Intelligence (MIRMI) is a globally visible interdisciplinary research center for ma-chine intelligence, which is the integration of robotics, artificial intelligence and perception. Its three central innovation sectors are the future of health, the future of work, the future of the environment, and the future of mobility. More than 60 professors from various TUM faculties cooperate within the framework of MIRMI.
PhD Position
The goal of upper-limb prostheses is to restore lost functionalities and autonomy in daily living tasks, work and social activities. The commercial solutions range from anything between simplistic body-powered hooks to advanced multiarticulated myoelectrically controlled hands. Most of the latter are designed to match the appearance and functionalities of the human hand. Such hands enables one to perform several hand motions through coordinated activation of independently motorized fingers.
These dexterous bionic devices usually use a pair of surface electromyography (sEMG) sensors to control one degree of freedom (DOF) at a time and adopt switching techniques via muscle co-activation, a mobile application and short-range proximity sensors to select the required grasp sequence. However, many consider such sophisticated myoelectric devices unreliable and difficult to use bringing out large variablity between the solutions available and users’ day-to-day needs. Applications are invited for a PhD student to work on the development and application of machine learning/ pattern recognition methods for better control and use of upper-limb prosthetic device in activities of daily living.
The candidate will closely work with Dr. Amartya Ganguly under the supervision of Prof. Alois Christian Knoll (The chair of Robotics, Artificial Intelligence and Real-Time systems) and Prof. Sami Haddadin (The Munich Institute of Robotics and Machine Intelligence (MIRMI) as one of TUM’s Integrative Research Institutes (IRI).
The candidate will be expected to:
This work will contribute to a better use of myoelectric prosthesis among people with limb difference, development of new prosthetic devices driven by AI and regulatory procedures for such devices.
Person specification
The project is highly multidisciplinary and applicants from a range of backgrounds are encouraged to apply. Experience in programming (MATLAB, Python, C, C++), multibody dynamics, computational modelling and/or experience working with people with limb difference is desirable.
How to apply
The following documents are needed for applications:
Interested applicants should send the necessary documents via email to applications@mirmi.tum.de quoting “PhD in AI driven upper limb prosthesis” in the e-mail subject line. Only shortlisted candidates will be notified. Preference will be given to applications received before January 10th, 2023 as a strict deadline.
TUM has been pursuing the strategic goal of substantially increasing the diversity of its staff. As an equal opportunity and affirmative action employer, TUM explicitly encourages nominations of and applications from women and from all others who would bring additional diversity dimensions to the university’s research and teaching strategies. Preference will be given to disabled candidates with equal qualifications. International candidates are highly encouraged to apply.
TUM has been pursuing the strategic goal of substantially increasing the diversity of its staff. As an equal opportunity and affirmative action employer, TUM explicitly encourages nominations of and applications from women as well as from all others who would bring additional diversity dimensions to the university’s research and teaching strategies. Preference will be given to disabled candidates with equal qualifications. International candidates are highly encouraged to apply.
Further information:
Visit our websites for more details:
Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.
Kontakt: applications@mirmi.tum.de
About us
Located in the prosperous capital of Bavaria and home to over 39000 students, the Technical University of Munich (TUM) is one of the world’s top universities (top 3 European technical universities in THE World University Ranking, top 50 in Shanghai Ranking, top 10 in Global University Employability Ranking, etc.) and home to one of the most vibrant environments in robotics research, industry and startups. It is com-mitted to excellence in research and teaching, interdisciplinary education, and the active promotion of promising young scientists. TUM benefits from the healthy mix of companies and startups of all sizes headquartered in the region and is tightly connected to regional research hospitals. The university also forges strong links with companies and scientific institutions across the world. The Munich Institute of Robotics and Machine Intelligence (MIRMI) is a globally visible interdisciplinary research center for ma-chine intelligence, which is the integration of robotics, artificial intelligence and perception. Its three central innovation sectors are the future of health, the future of work, the future of the environment, and the future of mobility. More than 60 professors from various TUM faculties cooperate within the framework of MIRMI.
PhD Position
The goal of upper-limb prostheses is to restore lost functionalities and autonomy in daily living tasks, work and social activities. The commercial solutions range from anything between simplistic body-powered hooks to advanced multiarticulated myoelectrically controlled hands. Most of the latter are designed to match the appearance and functionalities of the human hand. Such hands enables one to perform several hand motions through coordinated activation of independently motorized fingers.
These dexterous bionic devices usually use a pair of surface electromyography (sEMG) sensors to control one degree of freedom (DOF) at a time and adopt switching techniques via muscle co-activation, a mobile application and short-range proximity sensors to select the required grasp sequence. However, many consider such sophisticated myoelectric devices unreliable and difficult to use bringing out large variablity between the solutions available and users’ day-to-day needs. Applications are invited for a PhD student to work on the development and application of machine learning/ pattern recognition methods for better control and use of upper-limb prosthetic device in activities of daily living.
The candidate will closely work with Dr. Amartya Ganguly under the supervision of Prof. Alois Christian Knoll (The chair of Robotics, Artificial Intelligence and Real-Time systems) and Prof. Sami Haddadin (The Munich Institute of Robotics and Machine Intelligence (MIRMI) as one of TUM’s Integrative Research Institutes (IRI).
The candidate will be expected to:
- Design, develop and modify ANN frameworks
- Plan and conduct experiments, both individually and in collaboration with clinical experts
- Acquire sEMG, motion capture and other related data.
- Process and analyse signals in real time
- Generate computational models for simulation in loop evaluation and validation processes.
This work will contribute to a better use of myoelectric prosthesis among people with limb difference, development of new prosthetic devices driven by AI and regulatory procedures for such devices.
Person specification
The project is highly multidisciplinary and applicants from a range of backgrounds are encouraged to apply. Experience in programming (MATLAB, Python, C, C++), multibody dynamics, computational modelling and/or experience working with people with limb difference is desirable.
How to apply
The following documents are needed for applications:
- a motivation letter (1-3 pages) describing (i) yourself, (ii) your research interests, (iii) your qualifications, (iv) your future career goals and research focus, and (v) why you would be a suitable candidate,
- a detailed CV, academic transcripts from your Bachelor’s and Master’s degrees,
- email addresses of at least two references
Interested applicants should send the necessary documents via email to applications@mirmi.tum.de quoting “PhD in AI driven upper limb prosthesis” in the e-mail subject line. Only shortlisted candidates will be notified. Preference will be given to applications received before January 10th, 2023 as a strict deadline.
TUM has been pursuing the strategic goal of substantially increasing the diversity of its staff. As an equal opportunity and affirmative action employer, TUM explicitly encourages nominations of and applications from women and from all others who would bring additional diversity dimensions to the university’s research and teaching strategies. Preference will be given to disabled candidates with equal qualifications. International candidates are highly encouraged to apply.
TUM has been pursuing the strategic goal of substantially increasing the diversity of its staff. As an equal opportunity and affirmative action employer, TUM explicitly encourages nominations of and applications from women as well as from all others who would bring additional diversity dimensions to the university’s research and teaching strategies. Preference will be given to disabled candidates with equal qualifications. International candidates are highly encouraged to apply.
Further information:
Visit our websites for more details:
Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.
Kontakt: applications@mirmi.tum.de