Master Thesis – Human-Machine Interface with Neuromorphic signal processing systems
vor 1 Woche
Your Job:
Developing a measurement set-up including the electromyographic signal measurement system and a motion tracking system for reference, and event-based visionCollecting 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
Exploring in-context learning techniques and novel neural networks architecture to improve adaptability from subject-to-subject and day-to-day
Your Profile:
Current master studies in biomedical engineering, physics, computer science, mathematics, electrical/electronic engineering or a related subjectStrong programming skills (Python)
Familiarity with machine learning and deep learning frameworks (, 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
Please feel free to apply for the position even if you do not have all the required skills and knowledge. Missing skills can be learned.
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:
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, partly working remote
In addition to exciting tasks and a collaborative working atmosphere in Jülich, we have a lot more to offer:
Place of employment: Aachen
We welcome applications from people with diverse backgrounds, in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.
We look forward to receiving your application. The job will be advertised until the position has been successfully filled. You should therefore submit your application as soon as possible.
Questions about the offer?
Please feel free to contact us via our contact form.
Please note that for technical reasons we cannot accept applications by e-mail.
You can find helpful information on the application and selection process here. You can also find answers to frequently asked questions in our FAQs.
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