Research / PhD position: Posture Detection Algorithm

16.11.2018, Wissenschaftliches Personal

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)

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