/Electrical and optical co-optimization of quantum dot based short wave infrared photodetectors

Electrical and optical co-optimization of quantum dot based short wave infrared photodetectors

Master projects/internships - Leuven | More than two weeks ago

Optimizing the future of SWIR imaging with quantum dots 

One of the areas that has recently attracted the most attention is the autonomous vehicle industry. LiDAR, one of the core technologies of this autonomous vehicle, consists of a light source, a detector capable of detecting light, and a processor. However, the wavelength range used by LiDAR basically uses the infrared region that is safe for human eyes, that is, the wavelength in the 1.5um band, which limits the application of the silicon photodetector that was previously used.
Silicon offers high-performance light detection capability with high gain and speed, it can only detect in the near-infrared range (NIR) below 1μm. Compound semiconductors, such as InGaAs, used for the SWIR spectrum, are restricted in terms of yield, resolution, and cost.
Colloidal quantum dots (QDs) present a breakthrough to infrared light detection. QDs can be tuned to detect various spectra from visible up to NIR and SWIR, depending on their size. Moreover, they can be deposited over large areas using cost-effective techniques such as spin coating.
Our group has been developing SWIR image sensors based on QDs for the last 7+ years, combining expertise from several domains including material science, semiconductors, micro/nano fabrication, photonics and others. One of our latest endeavors is to design QD photodetector with high speed and gain with a goal of enabling affordable SWIR spectral sensor and imager, targeting various applications in automotive industry and biometric sensor.  
The student will focus on electrical and optical co-optimization of these new photodetectors, with a focus on experimental work including fabrication and characterization. He/she will receive training on the relevant processing and characterization tools. After a short introduction to the facilities, an independent investigation is expected with the focus on short-term research goals.

Type of Project: Thesis 

Master's degree: Master of Science; Master of Engineering Science 

Master program: Materials Engineering; Nanoscience & Nanotechnology 

Supervisor: Jan Genoe (EE, Nano) 

Supervising scientist: For more information or application, please contact Irem Sutcu (irem.sutcu@imec.be)

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