Master Thesis
Vor 7 Tagen
**Your Job**:
- Evaluation of the library on spike-based benchmark tasks such as gesture and speech recognition
- Documentation and implementation of example code for the use within the neuromorphic research community
- Optional: develop custom SNN code on the Graphcore IPU or on CUDA
**Your Profile**:
- Current master studies in physics, computer science, mathematics, electrical/electronic engineering or a related science or engineering field.
- Prior programming experience in Python is a must, C++ and CUDA experience are a plus
- Hands-on experience in one or more machine learning frameworks (PyTorch, Tensorflow, etc.), experience in Jax is a plus
- Experience with spiking neural networks and/or neuromorphic computing is a plus
**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:
- An interesting and socially relevant topic for your thesis with future-oriented themes
- Ideal conditions for gaining practical experience alongside your studies
- An interdisciplinary collaboration on projects in an international, committed and collegial team
- Excellent technical equipment and the newest technology
- 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 (location) arrangements, e.g. remote work
Place of employment: Aachen
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