Senior Information Security Manager (m/f/d) Oberkochen Vollzeit ZEISS Group Information Security Professional (m/w/x) Oberkochen Vollzeit ZEISS Group Human Factors/Ergonomics Engineer (m/f/d) Hennigsdorf Vollzeit ALSTOM
Jetzt als Research / PhD position: Posture Detection Algorithm bei Technische Universität München durchstarten
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Technische Universität München
München
Stellenausschreibung
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
- Research on the current state of the art on posture estimation using RBG and deep learning (CNN and others).
- Define architecture for deep-learning algorithm.
- Iterative process of reference data collection, training, testing and optimization.
- Integration of developed algorithm into rehabilitation exercises.
- 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)
Hinweis zum Datenschutz:
Im Rahmen Ihrer Bewerbung um eine Stelle an der Technischen Universität München (TUM) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise der TUM zur Kenntnis genommen haben.
Kontakt: Dr. rer. nat. Alejandro Mendoza mendozag@in.tum.de
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