Tenure Track Faculty

Tenure Track Faculty
7359BR
College of Science
COS Center for Imaging Science

Faculty Type (Tenure Status): Tenure-Track
Faculty Discipline: Imaging Science, Machine Learning
Faculty Rank: Assistant Professor
Employment Category: Fulltime
Anticipated Start Date:

Detailed Job Description
RIT Seeks Assistant Professor of Computer Vision - Computational Imaging - Machine Learning

The Chester F. Carlson Center for Imaging Science (CIS) at the Rochester Institute of Technology (RIT) invites candidates to apply for a tenure-track Assistant Professor of Imaging Science position. We are seeking two candidates with research expertise in computer vision, computational imaging, or machine learning, in the context of imaging systems and their applications. Preference will be given to candidates whose research programs complement or extend the existing and well-established expertise within the Center, including remote sensing, optics, photonics, lasers, human vision, computer vision, machine learning, astronomy and space science, instrumentation, augmented and virtual reality, detectors, cultural heritage imaging, light-matter interactions, and nano-imaging.

The successful candidate will be expected to advise BS, MS and PhD students working across the imaging chain, teach undergraduate and graduate level courses in the core imaging science curriculum, offer elective courses in the candidate's area of research, develop an externally funded research program, and live our values, embrace diverse perspectives, and nurture the RIT community to remain a great place to work for all.

Department/College Description
CIS is an interdisciplinary university research and academic unit dedicated to advancing the frontiers of imaging science and its technical applications, enabled by its robust research portfolio and degree programs. Imaging science is a diverse field which includes all aspects of the "imaging chain", i.e., source-to-sensor radiometry, image acquisition, image processing, and interpretation by algorithms or people. With BS, MS, and PhD programs that focus on the physics of image formation, quantitative spectral and temporal image analysis, information extraction, image processing, computer vision, and the development and application of sensor and imaging instrumentation systems, the Centers graduates are in high demand. At present, these programs comprise approximately 100 PhD students, 25 MS students, and 40 BS students. The Centers 18 core tenure-track faculty, five research faculty, and 14 research scientists are responsible for annually attracting roughly $5M of research funding, derived from funding sources that include NSF, NIH, NASA, DoD, USDA, foundations, and industry. CIS faculty have extensive internal and external collaborations (industry and national labs), and contribute to or are affiliated with RITs PhD programs in color science, astrophysical sciences & technology, microsystems engineering, and computing & information sciences. For more information please see our annual report and visit the CIS website.


Required Minimum Qualifications

• An earned doctoral degree (PhD or international equivalent) by the hire date (expected to be August 15, 2023).
• A record of refereed scholarly publications in a field related to imaging science that demonstrates expertise in computer vision, machine learning/deep learning, or computational imaging.
• An educational background or teaching history that demonstrates the ability to teach CIS core cources related to image processing, computer vision, or scientific computing.
• The ability to teach elective courses in their field of expertise at the undergraduate and graduate levels.
• Potential to obtain external research funding, as evidenced through an established track record via a cohestive research statement.
• Ability to communicate effectively.
• Ability to contribute in meaningful ways to the colleges continuing commitment to cultural diversity, pluralism, and individual differences.

Salary will be at the assistant professor level, commensurate with educations, skills, and experience. As a member of the RIT community you'll receive a well-balanced benefits package that offers a variety of choices and access to additional employment advantages. These benefits, combined with your pay, provide a total compensation package that can be tailored to meet your needs. For more information, go to: www.rit.edu/benefits.


Required Minimum Education Level
PhD

Required Application Documents
Cover Letter, Curriculum Vitae or Resume, List of References, Research Statement, Statement of Diversity Contribution, Statement of Teaching Philosophy

How To Apply


The direct link to this posting can be found here: https://sjobs.brassring.com/
Additional Details

RIT does not discriminate. RIT is an equal opportunity employer that promotes and values diversity, pluralism, and inclusion. For more information or inquiries, please visit RIT/TitleIX or the U.S. Department of Education at ED.Gov.









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