Biomimetic sensors and neurocomputing algorithms
Host Faculty: Engineering
General Subject Area: neurocomputing, machine learning, artificial intel
Project Level: PhDView the Research Website
The student will be trained to develop biomimetic sensors and machine learning algorithms, for example, tactile sensors, spike train based neurocomputing algorithms, for industrial applications. The focus of the project is to develop bio-inspired devices and artificial intelligence to solve design and manufacturing problems in Industry 4.0. The student may focus on devices or algorithms or both.
Supervisor: Yilei Zhang
Key qualifications and skills
Students with master degree or BE(honor) in engineering or science are welcomed to apply. Previous experience in signal processing, instrumentation, machine learning, etc. would be preferred, but not required.
Does the project come with funding
Final date for receiving applications
sensors, algorithms, neurocomputing, machine learning, artificial intelligence