[visionlist] Fully funded PhD fellowship in the National University of Singapore (NUS) for an international project (in collaboration with Toulouse, France) on scene perception with artificial neural networks

COTTEREAU Benoît benoit.cottereau at cnrs.fr
Wed Mar 2 09:26:01 -05 2022

Starting date: Second semester of 2022

Supervisors: Lai-Xing Ng (Contact: ng_lai_xing at i2r.a-star.edu.sg) and Benoit Cottereau (Contact: benoit.cottereau at cnrs.fr)

A PhD fellowship is available to work at the National University of Singapore (NUS), in collaboration with the Cerco laboratory (Toulouse, France). The aim of the project is to develop energy-efficient neuromorphic systems based on artificial neural networks which process different types of sensory signals (data collected from event-based cameras, synchronous cameras, and other sensors) to extract meaningful information from their surrounding environment (3D layout of the scene, objects of interest, threats, etc…). These systems will be first validated from labelled datasets and then tested in real-life situations (e.g., they will be embedded on drones interacting in real-time with human operators).

The PhD position will be fully funded under the DESCARTES program on intelligent modelling (https://www.cnrsatcreate.cnrs.fr/descartes/) with a competitive salary and opportunities for missions abroad and collaborations with the industry. The research will take place mainly in Singapore, a multicultural and attractive city of south-east Asia with high-quality of life. Stays in Toulouse are also planned.

Expected skills: The candidate should be willing to work in an international environment which involves Singapore and France, have a good level in English and very good programming skills (in Matlab, Python or C++). Some knowledge in artificial intelligence and neural networks would be a plus.

Applications should be sent to ng_lai_xing at i2r.a-star.edu.sg<mailto:ng_lai_xing at i2r.a-star.edu.sg> and benoit.cottereau at cnrs.fr<mailto:benoit.cottereau at cnrs.fr>, including a CV and 2 names of references.

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