Master Thesis
vor 7 Monaten
The aim of the project is to improve amputees’ quality of life by creating more energy-efficient and accurate prosthetic hand control systems using cutting-edge technologies. Surface electromyography is a non-invasive technique measuring muscles activity for Human-machine Interfaces. Artificial Intelligence algorithms can process electromyographic signals measured on the forearm skin to estimate finger positions. In order to develop low-power AI systems, at the Peter Grünberg Institute - Neuromorphic Software Eco Systems (PGI-15) led by Prof. Dr. Emre Neftci, we explore Neuromorphic computing technologies inspired by the brain. To perform electromyographic signal processing, we can use a hybrid model based on Transformers, (state-of-the-art Artificial Neural Networks), and on Spiking Neural Networks, which are bio-inspired algorithms relying on sparse impulse and neural temporal dynamics. Using these models and neuromorphic hardware chips, the goal will be to demonstrate an online low-latency and low-power electromyographic signal processing for finger-position estimation.
**Your Job**:
- Developing a measurement set-up including the electromyographic signal measurement system and a motion tracking system for reference, and event-based vision
- Collecting data to build a new dataset for fast finger motion
- Use the dataset to train an artificial neural network for finger-position estimation
- Making a live demonstration of finger-position estimation with electromyographic signals
**Your Profile**:
- Strong programming skills (Python)
- Familiarity with machine learning and deep learning frameworks (e.g., PyTorch)
- Knowledge of signal processing techniques and experience with EMG data analysis or other biomedical data is a plus
- Experience with spiking neural networks and/or neuromorphic computing is a plus
- 3D modeling is a plus
- Ability to work independently and as part of a team
Experimental enthusiasm is a must
**Our Offer**:
We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change We support you in your work with:
- A world-leading, interdisciplinary, and international research environment, provided with state-of-the-art experimental equipment and versatile opportunities
- Juelich research center has an interdisciplinary and collaborative work environment including researchers at the Neuromorphic Hardware Nodes (PGI-14) and the Jülich Supercomputer Center (JSC)
- Qualified support through your scientific colleagues
- The chance to independently prepare and work on your tasks
- Flexible working hours as well as a reasonable remuneration
Flexible work arrangements, e.g. partly working remote
Place of employment: Aachen
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