Fully Funded PhD in On-Device Machine Vision and Low-Power Biodiversity Sensing at Cardiff University Cardiff University in United Kingdom

Cardiff University's AGILE Lab is offering a fully funded PhD studentship in the area of on-device machine vision for low-power biodiversity sensing. The project, supervised by Dr Jonas Beuchert and Dr Nhat (Nick) Pham, focuses on developing high-resolution machine vision systems using microcontrollers and neural processing units to enable scalable, energy-efficient biodiversity monitoring. The position is funded by EPSRC for 3.5 years, covering full tuition for both UK and international students and providing a competitive annual stipend. The research group is highly international, with a strong track record of collaboration with industry leaders such as NVIDIA and Google, and research councils including EPSRC and the Royal Society. Applicants should have experience in embedded hardware, computer vision, and machine learning. The selection process is competitive and requires submission of a CV, academic transcripts, and English language test scores (IELTS/TOEFL), followed by a research proposal and interview. The lab is part of the School of Computer Science and Informatics at Cardiff University, a leading research-intensive institution in the UK. The group offers a vibrant research environment with opportunities for collaboration and career development. The deadline for applications is September 1, 2026, with interviews expected around mid-January 2026. For more information, candidates are encouraged to visit the lab website and contact the supervisors directly.