• United Kingdom

Accepting PhD Students

PhD projects

PhD projects to start from October 2021: 1. 4-year PhD studentship funded by STMicroelectronics and EPSRC Advanced Photonics CDT https://www.findaphd.com/phds/project/doctor-of-engineering-engd-evaluation-of-compact-and-low-cost-sensing-for-rapid-for-biomedical-and-consumer-healthcare-using-processing-and-machine-learning-techniques-stmicroelectronics-randd-ltd-and-university-of-strathclyde/?p128734 and our website here: https://cdtphotonics.hw.ac.uk/project/evaluation-of-compact-low-cost-sensing-for-rapid-for-bio-medical-consumer-healthcare-using-processing-machine-learning-techniques/ 2. 3-year PhD studentships in time-resolved imaging/sensing and machine-learning

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Personal profile

Personal Statement

David Li is a senior lecturer in optoelectronics at the Department of Biomedical Engineering. He received his PhD in electrical engineering from the National Taiwan University. He then joined the Industrial Technology Research Institute (ITRI), Taiwan, as an R&D engineer working on 1.25-12.5Gbps optical communication chipsets and wireless communication IP, knowledge transfer, and international joint projects (with the Carnegie Mellon University, Pittsburgh, USA).

From 2007 to 2011, he worked at the Institute for Integrated Micro and Nano Systems, University of Edinburgh, on the European projects "MEGAFRAME" and "METOXIA" for CMOS single-photon avalanche diode (SPAD) based fluorescence lifetime imaging microscopy (FLIM) cameras and analogue front-end circuits. He has invented several hardware-embedded imaging processors, which resulted in the first video-rate FLIM imaging on CMOS SPAD arrays.

From January 2014, he joined the Centre for Biophotonics, SIPBS, after his first lecturing position in biomedical engineering and embedded systems at the School of Engineering and Informatics, University of Sussex (where he led a research team working on industry-funded projects).

His current research interests include CMOS imaging and sensor systems, embedded systems, digital signal processing, mixed-signal integrated circuits, fluorescence-based sensing systems, and artificial intelligence. He has been working with researchers within the UK and overseas, such as the Netherlands, Switzerland, Belgium, Germany, France, China, the USA, and Taiwan.

Please also check https://scholar.google.co.uk/citations?hl=en&user=UFE7FyIAAAAJ.

David would be delighted to collaborate with colleagues or hear from potential PhD candidates interested in exploring any aspect of imaging/sensing and embedded systems research.

 

 

 

Available Studentships for 2021:

1. 4-year PhD studentship funded by STMicroelectronics

 

2. 3-year PhD studentships in time-resolved spectroscopy/imaging and machine-learning techniques for biomedical applications expected to start from 1st October 2021.

Candidates interested in these projects could send CVs and transcripts to him for further discussions.

 

Other funding opportunities for post-graduate students, postdoc researchers and visiting scholars:

China Scholarship Council: http://en.csc.edu.cn/ (for students in China) 

Commonwealth Scholarships: http://cscuk.dfid.gov.uk 

EU Marie Sklodowska-Curie Fellowships: http://ec.europa.eu/research/mariecurieactions/

Newton Fellowships: http://www.newtonfellowships.org 

Royal Society Newton Mobility Grant: https://royalsociety.org/grants-schemes-awards/grants/newton-mobility-grants/ 

Royal Academy of Engineering Newton Mobility Grant: http://www.raeng.org.uk/grants-and-prizes/international-research-and-collaborations/newton-fund-programmes/newton-research-collaboration-programme

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