Graduate Researchers
The Photonic Systems Laboratory accepts rolling applications for graduate students interested in conducting experimental and theoretical research in the general area of photonic devices and systems, e.g. sensors, logic and integrated circuits, ultrafast or ultrahigh resolution chip-scale instruments, or novel measurement techniques. Students must be self motivated and eager to search for and test out new approaches for overcoming current limitations in state of the art devices. A solid academic record with coursework in semiconductor optoelectronics and strong experience with a scientific programming language, such as Matlab, LabView, C or CUDA is necessary. Clean room experience or prior research experience in a related field would be a definite plus. Students will be expected to broadly disseminate their research by presenting it at high visibility conferences and publishing it in peer-reviewed journals. Interested candidates should send a brief email expressing their interests and an updated resume to the address below.
Undergraduate Research Opportunities
1. The group is accepting applications for undergraduate students interested in completing a senior research thesis. The student must have a solid academic record and be self motivated, eager to test out new measurement or simulation techniques, and able to commit the time and effort during the academic year necessary to complete the thesis (usually >10 hours per week). Programming skills in LabVIEW or Matlab, or prior research experience or coursework in Optics would be a definite plus. Interested applicants should email an updated resume to Professor Goddard.
2. The group is also looking for an undergraduate student (at any grade level) who has taken ECE 444 to develop processing techniques for new / existing equipment in MNTL. The student would also assist with photolithography, etching, and measuring the optical loss of the resulting devices.
3. Lastly, the group is looking for an undergraduate student (at any grade level) who has taken ECE 329 or who has experience with machine learning or scientific computing to set up and run photonic simulations on a high performance computing cluster.
Contact Information:
Lynford L. Goddard
Professor
2254 Micro and Nanotechnology Lab
lgoddard@illinois.edu
217-244-0799