In various scientific applications such as neural imaging and single-cell localisation, dynamic regions of the field of view must be captured at high frame rates. Static regions also have to be captured (for contextual information) but can be done so at lower frame rates. This also applies to other applications of image sensors, such as visual light communications and object tracking. In this project, we will use a SPAD (single photon avalanche diode) image sensors due to their high temporal resolution and low noise performance. Inspired by dynamic vision sensors (with hybrid event/frame readout), the PhD candidate will devise a re-configurable processing unit, embedded on a SPAD image sensor, to detect (and selective readout) spatio-temporal features of interest. The aim of this PhD would be to ensure salient information is captured with the required temporal resolution whilst minimising I/O rates (and power consumption).

The candidate should have a strong background in electronics with a first-class (or high second-class) degree. Exposure to custom IC design and simulations software (Cadence, Mentor etc.) would be appreciated. No prior knowledge of biology/neuroscience is necessary.

This position is funded by ST Microelectronics. A ST appointed co-supervisor will support the student throughout the project.