PhD Student (f/m/d) (Focus: Sensor fusion)

They offer a funded researcher position for 3.5 years in their larger project “Fusion of neuromechanical modeling and wearable sensor data to enhance prediction of human movement intention in real-time robotic assistance”. In this project, you will work on fusing multi-modal wearable sensor signals—including eye gaze, computer vision, and motion sensors—using signal processing and machine learning techniques to understand and predict human movement intention.

 

As a PhD student in the team, you will

• Develop and implement a novel wearable system for recording multi-modal signals.
• Design and evaluate a computational pipeline, balancing robustness and efficiency.
• Conduct or supervise experimental studies involving real-world, everyday movements.

Additionally, you will have opportunities to:

• Publish your research in high-impact journals.
• Present your findings at international conferences.
• Improve your supervision skills by co-supervising B.Sc. and M.Sc. students.
• Gain teaching experience by assisting in relevant courses.

 

The NeuMoSens Group is an interdisciplinary research group led by Dr. Isabell Wochner in the Research Field of Biomechanics and Biorobotics at the Hertie Institute for Clinical Brain Research (HIH) at the University of Tübingen. The project is closely connected to Cyber Valley, Europe’s leading center for excellence in AI and modern robotics and the Center for Bionic Intelligence Tübingen Stuttgart. Their overarching goal is to understand and predict human movement intention for real-time robotic assistance using wearable sensors and neuromechanical modelling. This research aims to advance assistive technology for individuals with motor impairments, ultimately enhancing their quality of life.

 

 

Job Requirements

They are looking for applicants who have: 

▪ A strong motivation to work in an interdisciplinary research project.

▪ A background in computer science, simulation engineering, biomedical engineering, mechanical engineering, or related fields.

▪ A Masters (or equivalent) degree from a recognised university. Near completion can be considered.

▪ A curious and independent mindset with a critical approach to research.

▪ Proficiency in Python, C++, or similar programming languages.

▪ Experience with robotic frameworks (ROS).

▪ Excellent academic performance and analytical skills.

▪ Strong English communication skills. 

 

Candidates who have experience in any of the following attributes are specifically encouraged to apply:

▪ Model predictive control

▪ Kalman Filtering

▪ Eye Gaze Tracking

▪ Signal Processing

 

 

Interested?

Please contact Isabell Wochner (isabell.wochner@uni-tuebingen.de). The position will remain open until filled. The starting data is flexible, but June 2025 is preferable.

 

Applications sent before March 11, 2025 will be prioritized. Please send a cover letter, CV, and transcript of records, along with contact details of up to two researchers who would be willing to write a letter of reference (we will contact them directly).