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Research / PhD position: Posture Detection Algorithm

16.11.2018, Wissenschaftliches Personal

The Technische Universität München (TUM), Department of Informatics, Chair of Robotics, Artificial Intelligence and Embedded Systems (Prof. Knoll) is working in a project founded by the Federal Ministry of Education and Research (BMBF) and in collaboration with the digital health startup reFit Systems GmbH. The goal of this project is to develop an optimized posture tracking algorithm that can be integrated into a digitalized orthopedic rehabilitation system.

The chair is offering a full time research position (TVL13) with a duration of three years in which time the student can write his/her PhD thesis.

Objective & Tasks

  1. Research on the current state of the art on posture estimation using RBG and deep learning (CNN and others).
  2. Define architecture for deep-learning algorithm.
  3. Iterative process of reference data collection, training, testing and optimization.
  4. Integration of developed algorithm into rehabilitation exercises.
  5. Evaluation of posture algorithm and collected data.

Mandatory Requirements:

• Master´s Degree in a technical course of study (informatics, electrical engineering, physics, mathematics or related fields)

• Good code development skills, knowledge in object oriented programming (C++, Python or similar)

• Possess skills/familiar with development tools (git)

• Fluent English language

• Very good communication skills

• Ability to work efficiently and independently.

Nice to Have:

• Experiences with machine learning methods and cloud computing.

• Experience in image processing

What we offer:

• An environment of trust and mutual support.

• Working in an interdisciplinary research team at the leading German University of Technology and with direct applications into industry.

• Direct contact with experts from the fields IT and medicine.

• Your work will contribute to the development of real life applications that help patients in need.

Supervisor:

Prof. Dr.-Ing. Alois Knoll

Advisor:

• Dr.rer. nat. Alejandro Mendoza

• M.Sc. Valentin Koller

Research area:

Machine Learning, Postrue estimation, Movement Tracking, Rehabilitation

Language: English, German (optional)

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.

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: Dr. rer. nat. Alejandro Mendoza mendozag@in.tum.de