Student research project
Novel smartphone-based ways to estimate corneal irradiance
Computational imaging methods for measuring light at the eye.
The question
Could a smartphone help estimate the light reaching the eye? Corneal irradiance is relevant to understanding light exposure, yet measuring it reliably outside a specialised laboratory remains a practical challenge.
The project
Explore novel smartphone-based methods as an engineering and computational imaging problem. Work will combine controlled optical measurements with calibration, signal processing or computational modelling. The underlying measurement implementation is reserved for discussions with prospective students.
What you will do
- Review measurement principles and sources of error in optical sensing.
- Develop and evaluate a defined component of a measurement or analysis workflow against reference measurements.
- Quantify uncertainty, robustness and limitations, documenting code and calibration work reproducibly.
Possible scope
An engineering project or thesis could focus on development and quantitative validation. A shorter placement could examine calibration or a bounded modelling question. Strong programming and quantitative skills are useful; optics or imaging experience would be an advantage.
How to apply
Attendance in person is required. Send a short motivation, CV, relevant skills, preferred project, dates, format, location and any external funding plans to Prof. Manuel Spitschan at an address below.
Location, timing and scope are agreed with the supervisor; availability depends on capacity and the work involved.