In less than 100 years image systems have progressed from Prof. Harold (“Doc”) Edgerton’s stroboscope, which stopped a bullet in flight, to cameras that can achieve 5 trillion frames-per-second (fps) [Nature Photonics 8, 695-700, 2014] or visualise photons in flight [Nature Photonics 10, 23-26, 2016]. Advanced imaging techniques, however, generate massive and complex multi-dimensional (x, y, z, time, wavelength) datasets that are restricting achievable impact.
In this project, we will work with the award-winning (2015 Converge Challenge) Scottish spin-off, Photon Force, who provides cutting-edge CMOS single-photon sensor & picosecond timing arrays, to develop two innovative data processing approaches for real-time 3D ranging. We will introduce an innovative fog computing concept by brining data analysis close to the sensor front-ends (instead of reading out and post-processing image data as traditional approaches) to allow fast imaging. We will also adopt compressed sensing techniques to enhance the image acquisition. With the latest image sensor technologies and two innovative data analysis strategies, the project promises real-time 3D ranging/imaging that can be widely used for manufacturing (virtual prototyping), autonomous cars, robotics, human-machine interfaces & gaming, biomedical imaging or security surveillance. This project aligns with the areas Advanced Automation Systems and Real-time Data perfectly.
Funding DetailsThe studentship is supported by the Datalab, Photon Forces, Faculty of Science and Faculty of Engineering to cover UK/EU fees and stipends.
Primary Supervior Dr David Li https://www.strath.ac.uk/staff/lidaviddr/
Secondary Supervisor Dr Erfu Yang https://www.strath.ac.uk/staff/yangerfudr/
Nature Photonics 8, 695-700, 2014
Nature Photonics 10, 23-26, 2016
Opt. Express 24(7), 6899-6915, 2016
J. Biomed. Opt. 16(9), 096012, 2011
IEEE Electron. Dev. Lett. 33, 1589-1591, 2012
IEEE Trans. Electron. Dev. 58, 2028-2035, 2011
How to applyApplicants must submit a formal application https://www.strath.ac.uk/courses/research/pharmacybiomedicalsciences/
Candidates should have a master’s degree (MEng, MPhys, or MSc) in Engineering or Physics. They should have achieved either 1st class or 2.1 undergraduate degree and a distinction at postgraduate level (if appropriate).
Candidates are required to have expertise in embedded systems, electronics, and be proficient in programming in one or more of the following: MATLAB, VHDL/Verilog, Python or C/C++. Knowledge and experience of instrumentation developments is also desirable.
The ideal candidate should also be an effective team player and enthusiastic about working closely with industry.Residency criteria: This studentship is open to worldwide
Eligibility for RCUK studentships
- Research Council (RC) fees and stipend can only be awarded to UK and EU students and not to EEA or International students.
- EU students are only eligible for RC stipend if they have been resident in the UK for 3 years, including for study purposes, immediately prior to starting their PhD.
- If an EU student cannot fulfil this condition then they are eligible for a fees only studentship.
- International students cannot be funded from RC funds unless they are ‘settled’ in the UK. ‘Settled’ means being ordinarily resident in the UK without any immigration restrictions on the length of stay in the UK. To be ‘settled’ a student must either have the Right to Abode or Indefinite leave to remain in the UK or have the right of permanent residence in the UK under EC law. If the student’s passport describes them as a British citizen they have the Right of Abode.
- Students with full Refugee status are eligible for fees and stipend.
This is a 3-year full international studentship (full time); it include international fees (around £60,000), stipends (around £45,000) and travel/conference attendance (£3000). It is jointly supported by DataLab, Photon Force, Ltd., and the University of Strathclyde. This project will harness recent advances in CMOS image sensor techniques and data processing technologies based on high-speed field programmable gate arrays (FPGA). Instead of using commercial sensors which have limited acquisition channels, we will use the cutting-edge single-photon avalanche diode (SPAD) arrays to develop high-speed 3D ranging systems . We will collaborate with Photon Force, Ltd. and University of Edinburgh in this project. The successful candidate’s supervisors will be Dr David Li , Dr Erfu Yang  and the industrial supervisors Dr Richard Walker .
The candidate will be able to work in multidisciplinary and industrial environments, attend international conferences/workshops or to do secondments with the collaborators. Through industrial secondments, the candidate will be able to learn from Dr Walker and Dr Nedbal the importance of IP protection and exploitation.
- Nature Photonics 10, 23-26, 2016.
Funding DetailsThis is a 3-year full international studentship (full time); it include international fees (around £60,000), stipends (around £45,000) and travel/conference attendance (£3000). It is jointly supported by DataLab, Photon Force, Ltd., and the University of Strathclyde.
Primary Supervisor: Dr David Li
Secondary Supervisor: Dr Erfu Yang
Email: firstname.lastname@example.orgWebpage: https://www.strath.ac.uk/staff/yangerfudr/