Imec develops disruptive technologies for image sensors based on thin-film photodetectors. Ultra-thin, submicron active layers with absorption coefficients much higher than those of e.g. silicon enable new form factors and applications. When integrated with a thin-film transistor backplane, thin-film photodetectors can serve as a basis for large-area, flexible image sensors that find use in medical or industrial x-ray imaging, in consumer applications such as fingerprint or handpalm scanners, or for conformable, curved focal planes.
The thin-film transistor has a charge carrier mobility of about 20 cm2/Vs, and can only carry electrons, meaning that only n-type transistors exist. Furthermore, the transistor dimensions are not strongly scaled, and of the order of 0.5 to 2 microns.
The goal of this PhD is to elaborate electronic readout circuits for both the imager matrix and the peripheral readout in thin-film electronics, specifically exploiting the advantages of thin-film transistor technologies. The PhD student should also investigate scalable and semi-transparent photodetector pixel arrays, needed for certain applications such as double-sided CT-imaging or heterogeneous integration with display pixels for 3D touch. In addition to design, the PhD student will also be responsible for the circuit and matrix measurements, comparison of experiments and modelling. Designs will be processed in the imec cleanrooms.
The candidate PhD student has a solid background in electronic engineering and circuit design. Also, a strong affinity to technology and physics is a must for this research. The PhD work will take place in the large area electronics (LAE) department in imec. The group counts about 45 people with extensive expertise in thin-film processing and design, and has 15 years of experience. The group has a very strong international reputation in this field, with multiple ISSCC publications and an H-index for the thin-film electronics activity of 50.
Required background: electronic engineering with affinity to physics and technology
Type of work: 10% literature study, 10% modeling, 40% design and layout, 40% characterization
Supervisor: Wim Dehaene
Co-supervisor and daily advisor: Kris Myny
The reference code for this PhD position is SE1712-04. Mention this reference code on your application form.