Colloidal QD Photodiodes for Compressed Spectral Sensing

The Challenge

Spectral sensing extends the capabilities of traditional broadband detectors by revealing material-specific signatures that remain hidden in conventional broadband imaging. Accessing spectral information in the short-wave infrared (SWIR) range is particularly valuable for applications such as Earth observation, agrifood monitoring, and waste‑sorting technologies. Conventional optical‑filter‑based solutions, however, tend to be bulky and significantly reduce the available optical signal after filtering.

What you will do

In this project, you will investigate the integration of solution‑processable colloidal quantum‑dot (cQD) photodiodes with compressed‑sensing–based spectral reconstruction methods as an alternative to conventional filter-based solutions.

You will get the chance to

• Fabricate and characterize cQD photodiodes
• Explore the impact of optical cavities on cQD photodiodes
• Investigate reconstruction algorithms for spectral signal recovery

Your experimental work will be supported by data analysis and modeling, helping you draw meaningful conclusions from your results. In addition, you will have the opportunity to work in an international research environment, collaborating with experienced researchers and engineers who will support your scientific growth.

Student requirement

We are seeking an MSc student passionate about optoelectronic devices and with a basic understanding of semiconductor physics. You should be naturally curious and eager to explore new ideas. A background in nanoscience, nanotechnology, engineering, physics, materials science, chemistry, or a related field is important. Having a hands-on mindset and some initial programming experience (e.g., in Python or MATLAB) is required. A strong command of English is essential for effective communication.

Type of work: Experimental work (60%), data analysis/simulation (40%)