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The Digital Society Initiative (DSI) is looking for a motivated and enthusiastic PhD student to work on a project regarding the use of neuromorphic technologies in the field of precision farming.
The project is broad enough to encompass several possible research directions, according to the interests and experience of the PhD student. It involves utilizing both digital and mixed analog-digital neuromorphic technologies to optimize greenhouse agriculture management.
The successful candidate will be responsible for the data science and computational aspect of an event-based model aiming at optimizing a variety of aspects in greenhouse management. This requires data curation and devising spiking neural networks with neuromorphic hardware.
The position requires a master degree in Biomedical engineering, Computer Science, Physics or related fields; knowledge in programming, biologically inspired neural network models; good written and spoken English; strong team-working abilities and excellent communication skills. The successful candidate will participate in the ZNZ doctoral program for additional theoretical/practical training and will receive a PhD from the Faculty of Science at the University of Zurich.
All information and the application link can be found here.
