Postdoctoral Research Associate I
Posting Number: req5748
Department: James C Wyant Coll Optical Sci
Location: Main Campus
Address: Tucson, AZ USA
The College of Optical Sciences in the University of Arizona is a recognized world leader in optics and photonics research. The Intelligent Imaging and Sensing Lab (I2SL) in the college, led by Prof. Amit Ashok, focuses on use of prior information and novel optical mechanisms/phenomenon in the design of computational imaging and sensing systems. This approach utilizes design degrees of freedom in the optical and the post-processing domains jointly towards the goal of maximizing the "information" content of measurements relevant to a particular task (e.g. image formation, target detection). The research group is currently engaged in several computational imaging projects in the areas of optical and digital super-resolution, X-ray material discrimination, passive/active ranging, coherent and partially-coherent computational imaging, information-optimal measurement design and image reconstruction discrimination algorithms. The ideal postdoc candidate should have a strong background in signal/image processing, detection and estimation theory, and physical principles underlying optical sensors and imaging systems. The postdoc will have the unique opportunity to make fundamental contributions in the areas of optical light field imaging (active/passive), X-ray based imaging and anomaly detection, computational imaging and, mentor graduate students, write grants and proposals, and present his/her work at international SPIE/OSA/IEEE/SIAM conferences and in flagship peer-reviewed journals.
*Occasional travel may be required.
*This is a year-to-year appointment, renewable contingent upon funding and performance.
Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more!
The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please visit http://talent.arizona.edu.
Duties & Responsibilities
- Provide advanced technical expertise in signal/image processing, statistical inference, algorithm development/ implementation on high-performance computing platforms.
- Interface with other researchers developing physical models of optical imaging/sensing systems.
- Periodic technical reporting and documentation as required by research sponsors.
- Present technical results at leading conference and publish in flagship journals.
- Mentor graduate students and supervise lab activities.
Knowledge, Skills, and Abilities:
- Sound understanding of optical imaging system design and analysis.
- Ph.D. in Electrical Engineering, Optical Sciences/Engineering, Applied Mathematics, Applied Physics, OR related discipline.
- Experience in working with optical imaging and sensing systems.
- Demonstrated expertise in signal/image processing and statistical inference.
- Demonstrated experience in algorithm development/implementation using high-level programming languages/simulation environments, such as C/C++/Python, MATLAB, etc.
- Programming experience on graphical processing units (GPU) and/or high-performance computing platforms will be considered as an added qualification.
- Experience in independent research with a strong publication record.
- Experience working in a team environment.
- Experience communicating effectively, both verbally and in writing.
Full Time/Part Time: Full Time
Number of Hours Worked per Week: 40
Job FTE: 1.00
Work Calendar: Fiscal
Job Category: Research
Benefits Eligible: Yes - Full Benefits
Rate of Pay: DOE
Compensation Type: salary at 1.0 full-time equivalency (FTE)
Type of criminal background check required: Name-based criminal background check (non-security sensitive)
Number of Vacancies: 1
Contact Information for Candidates
Open Until Filled: Yes
Documents Needed to Apply: Curriculum Vitae (CV) and Cover Letter
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