[CapoCaccia - announce] PhD/Postdoc position @TU Delft - Brain-inspired hardware for edge continual learning

[Charlotte Frenkel]

Dear Neuromorphs,

The following position is open in my team at TU Delft:

PhD/Postdoc position [Integrated circuit design, hardware/algorithm co-design] - Brain-inspired hardware for edge continual learning

Biological systems can learn and adapt robustly over a sequence of new experiences. This comes in stark contrast with today's edge computing devices, which are unable to autonomously adapt to their environment. This standard train-then-deploy strategy assumes a static and controlled environment, which is not representative of the real world where key characteristics of the user/environment can change over time.
You will tackle this challenge by endowing smart devices with low-power long-term autonomous adaptation. To do so, you will
- merge the latest neuroscience and machine-learning research in continual learning,
- follow a co-design approach to translate your findings into custom silicon,
- tape out your own digital integrated circuit(s) to demonstrate sub-mW continual-learning edge hardware (mixed-signal is also an option).

Link to the vacancy and application guidelines: https://microelectronics.tudelft.nl/Openings/vacancy.php?id=187

The position is open until filled - early application is encouraged!

Kind regards,
Charlotte

Charlotte Frenkel
Assistant professor, TU Delft
EEMCS faculty - Microelectronics department
Mekelweg 4 (15.290), 2628 CD Delft, The Netherlands
Website: https://chfrenkel.github.io
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