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Post-Doctoral Fellow
The University of Memphis in Memphis, Tennessee
 
 
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Date Posted 01/08/2022
Category
Admin-Other Administrative Positions
Employment Type
Application Deadline Open until filled
 
 
 
 
 

Posting Number FAE1205
Advertised Title Post-Doctoral Fellow
Campus Location Main Campus (Memphis, TN)
Position Number L22120
Category Full-Time Faculty
Department Electrical Computer Engineering
Position Summary
Applications screening will begin immediately. However, screening of applicants will continue until the position is filled. Starting date for this position is immediately. Inquiries about this position can be directed to cpreza@memphis. edu
A post-doctoral position is available immediately in the Computational Imaging Research Laboratory (CIRL) – http://cirl.memphis.edu – in the Department of Electrical and Computer Engineering, The University of Memphis. The postdoctoral researcher will have the opportunity to work with Dr. Chrysanthe Preza and her collaborators, a dynamic and interdisciplinary team, to pursue research in the exciting area of computational imaging using machine learning techniques. Dr. Preza’s work has been funded in part by the NSF and the University of Memphis. The post-doctoral researcher will be expected to oversee graduate students and projects in the CIRL, prepare data and write reports/articles for technical publications as well as have the opportunity to participate in future grant proposal development as part of the post doc mentoring plan.  
 
Minimum Position Qualifications
The position requires a Ph.D. degree in Electrical and/or Computer Engineering, Optical or Biomedical Engineering, Physics, or a related field. Fluent verbal and written communication skills in English are also required. Experience in computational imaging, mathematical modeling, and strong computer programming skills in MATLAB, Python and/or C++ language are also required.  Knowledge in machine learning techniques applied to computational imaging is highly desirable. Knowledge or desire to learn in using and building open set-up microscope systems on an optical table and integrating novel optics to microscopy is also desirable for this position. 
 
Preferred Qualifications:  Good experience and background knowledge in any of the research focus areas: e.g. development of machine-learning based computational methods integrated to advanced microscope systems, use of microscopes for data acquisition, solving inverse problems in imaging, optimization methods and image estimation and in particular knowledge in methods for super resolution structured illumination microscopy. Ability to work independently and in a team. Capability to design and perform experimental plans, knowledge with microscope data-acquisition or strong interest to learn, understanding of statistical analysis procedures and interpreting data. Sufficient interpersonal skills in dealing with students (graduate and undergraduate), university personnel and other related groups.  Self-motivation and creativity are highly desirable.
 
Special Conditions
Initial appointment is for one year, with possible renewal for an additional year, based on performance and availability of funding. Performance is evaluated mainly by publications. Salary will be commensurate with education and experience. 
 
Posting Date 03/11/2021
Closing Date
Open Until Screening Begins No
Hiring Range Commensurate with Education and Experience
Full-Time/Part-Time Full-Time: Benefits Eligible
Special Instructions to Applicants
A cover letter with a brief summary of research background, accomplishments and interests and a statement of career goals. A current CV, and contact information of at least three references. 
Instructions to Applicant regarding references
Is this posting for UofM employees only? No

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