Job Summary
The department of ECEE at CU Boulder is seeking a Postdoc Associate to develop photonic integrated circuits (PICs).
The University of Colorado Boulder is committed to building a culturally diverse community of faculty, staff, and students dedicated to contributing to an inclusive campus environment.
We are an Equal Opportunity employer, including veterans and individuals with disabilities.
Who We Are
ECEE at CU Boulder is an outstanding undergraduate and graduate program in Colorado by reputation, rankings and size :
- Part of one of the top-ranked engineering schools in the nation.
- Our undergraduate electrical engineering program was ranked No. 19 among our public peers in U.S. News and World Report's Best Engineering Programs for 2022.
- We are ranked No. 18 among public computer engineering programs and No. 21 among public electrical engineering programs in U.
S. News and World Report's Best Graduate Schools for 2024.
What Your Key Responsibilities Will Be
The Postdoc Associate will work with the team to develop photonic integrated circuits (PICs) based on silicon nitride and lithium niobate on insulator hybrid platform for biomedical imaging applications.
The Postdoc Associate will be mainly involved in the design and modeling of PICs rather than their microfabrication. The Postdoc Associate will also be involved in grant reporting and new proposal writing.
What We Can Offer
The salary for this full-time position will be $65,562.
Benefits
The University of Colorado offers excellent , including medical, dental, retirement, paid time off, tuition benefit and ECO Pass.
The University of Colorado Boulder is one of the largest employers in Boulder County and offers an inspiring higher education environment. Learn more about the .
Be Statements
Be creative. Be balanced. Be Boulder.
What We Require
- PhD degree or equivalent in Electrical Engineering and Applied Physics.
- 3-yr experiences in Lumerical, COMSOL, K-Layout, and L-Edit.
- 3-yr experiences in PIC design.
What You Will Need
Demonstrated excellence in one or more of the following areas is required : PIC, microwave photonics, and biomedical imaging.
What We Would Like You to Have
- Proficiency in Python, C++, Matlab, or Labview is advantageous.
- Experience with microfabrication is advantageous.
- Experience with FPGA programming is advantageous.
- Experience with machine learning is advantageous.
- Experience with Ansys Zemax OpticStudio is advantageous.
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