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<div class=""><span class="ContentPasted2"><font face="Arial, Helvetica, sans-serif" size="3" class=""><b class="">We are currently recruiting for two open positions in Imaging Science at Rochester Institute of Technology. </b></font></span></div>
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<div class=""><span class="ContentPasted2"><font face="Arial, Helvetica, sans-serif" size="3" class="">The full posting is pasted below, but can also can be found here: <a href="https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=25483&siteid=5291#jobDetails=1555577_5291" class="">https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=25483&siteid=5291#jobDetails=1555577_5291</a></font></span></div>
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<span class="ContentPasted2" style="font-size: 12pt;">I have found RIT's Center for Imaging Science to be a wonderful place to work, and I'm excited at the possibility of attracting new colleagues working in vision science, or another field related to imaging.
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Gabriel J. Diaz, Ph.D.<br class="">
Associate Professor<br class="">
Director of PerForM Labs<br class="">
Rochester Institute of Technology<br class="">
Chester F. Carlson Center for Imaging Science<br class="">
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Office 2108, Building #76<br class="">
Rochester, NY 14623<br class="">
Office: (585) 475-6215<br class="">
<a href="mailto:gabriel.diaz@rit.edu" class="">gabriel.diaz@rit.edu</a></div>
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<b class="">RIT Seeks Assistant Professor of Computer Vision - Computational Imaging – Machine Learning</b><br style="direction: ltr !important; box-sizing: border-box; border-width: 1px;" class="">
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The <a href="https://www.rit.edu/science/chester-f-carlson-center-imaging-science" style="box-sizing: border-box; border: 0px; margin: 0px; padding: 0px; font-family: inherit; cursor: pointer; color: rgb(0, 100, 141); direction: ltr !important;" class="">Chester
F. Carlson Center for Imaging Science</a> (CIS) at the <a href="https://www.rit.edu/" style="box-sizing: border-box; border: 0px; margin: 0px; padding: 0px; font-family: inherit; cursor: pointer; color: rgb(0, 100, 141); direction: ltr !important;" class="">Rochester
Institute of Technology</a> (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.<br style="direction: ltr !important; box-sizing: border-box; border-width: 1px;" class="">
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The successful candidate will be expected to advise BS, MS and PhD students working across the imaging chain, teach <a href="https://www.rit.edu/science/study/imaging-science-bs" style="box-sizing: border-box; border: 0px; margin: 0px; padding: 0px; font-family: inherit; cursor: pointer; color: rgb(0, 100, 141); direction: ltr !important;" class="">undergraduate</a> and <a href="https://www.rit.edu/science/study/imaging-science-phd" style="box-sizing: border-box; border: 0px; margin: 0px; padding: 0px; font-family: inherit; cursor: pointer; color: rgb(0, 100, 141); direction: ltr !important;" class="">graduate</a> 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.</div>
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Department/College Description</div>
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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 Center’s graduates are in high demand. At present, these programs comprise approximately
100 PhD students, 25 MS students, and 40 BS students. The Center’s 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 RIT’s PhD programs in color science, astrophysical sciences & technology,
microsystems engineering, and computing & information sciences. For more information please see our <a href="https://www.rit.edu/science/sites/rit.edu.science/files/2021-07/CIS-AnnualReport2019-2020.pdf" style="box-sizing: border-box; border: 0px; margin: 0px; padding: 0px; font-family: inherit; cursor: pointer; color: rgb(0, 100, 141); direction: ltr !important;" class="">annual
report</a> and visit the <a href="https://www.rit.edu/science/chester-f-carlson-center-imaging-science" style="box-sizing: border-box; border: 0px; margin: 0px; padding: 0px; font-family: inherit; cursor: pointer; color: rgb(0, 100, 141); direction: ltr !important;" class="">CIS
website</a>.<br style="direction: ltr !important; box-sizing: border-box; border-width: 1px;" class="">
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Required Minimum Qualifications</div>
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An earned doctoral degree (PhD or international equivalent) by the hire date (expected to be August 15, 2023).</li><li style="box-sizing: border-box; border: 0px; margin: 0px; padding: 0px; font-family: inherit; list-style: disc outside; direction: ltr !important;" class="">
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.</li><li style="box-sizing: border-box; border: 0px; margin: 0px; padding: 0px; font-family: inherit; list-style: disc outside; direction: ltr !important;" class="">
An educational background or teaching history that demonstrates the ability to teach CIS core cources related to image processing, computer vision, or scientific computing.</li><li style="box-sizing: border-box; border: 0px; margin: 0px; padding: 0px; font-family: inherit; list-style: disc outside; direction: ltr !important;" class="">
The ability to teach elective courses in their field of expertise at the undergraduate and graduate levels.</li><li style="box-sizing: border-box; border: 0px; margin: 0px; padding: 0px; font-family: inherit; list-style: disc outside; direction: ltr !important;" class="">
Potential to obtain external research funding, as evidenced through an established track record via a cohestive research statement.</li><li style="box-sizing: border-box; border: 0px; margin: 0px; padding: 0px; font-family: inherit; list-style: disc outside; direction: ltr !important;" class="">
Ability to communicate effectively.</li><li style="box-sizing: border-box; border: 0px; margin: 0px; padding: 0px; font-family: inherit; list-style: disc outside; direction: ltr !important;" class="">
Ability to contribute in meaningful ways to the college’s continuing commitment to cultural diversity, pluralism, and individual differences.</li></ul>
<div class=""><b class="">Required Minimum Education Level</b> PhD</div>
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<b class="">Faculty Type (Tenure Status) </b>Tenure-Track<br class="">
<b class="">Faculty Discipline </b>Imaging Science, Machine Learning<br class="">
<b class="">Faculty Rank </b>Assistant Professor<br class="">
<b class="">Employment Category</b> Fulltime<br class="">
<b class="">Anticipated Start Date </b>16-Aug-2023<br class="">
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<span style="font-family: inherit; font-weight: bold;" class="">Required Application Documents</span></div>
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Cover Letter, Curriculum Vitae or Resume, List of References, Research Statement, Statement of Diversity Contribution, Statement of Teaching Philosophy</div>
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How To Apply</div>
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Apply online at <a href="http://careers.rit.edu/faculty" style="box-sizing: border-box; border: 0px; margin: 0px; padding: 0px; font-family: inherit; cursor: pointer; color: rgb(0, 100, 141); direction: ltr !important;" class="">http://careers.rit.edu/faculty</a> Keyword
Search: 7359BR. Please submit your online application; curriculum vitae; a cover letter addressing the required qualifications, and upload the following atachments:</div>
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<li style="box-sizing: border-box; border: 0px; margin: 0px; padding: 0px; font-family: inherit; list-style: disc outside; direction: ltr !important;" class="">
Research statement</li><li style="box-sizing: border-box; border: 0px; margin: 0px; padding: 0px; font-family: inherit; list-style: disc outside; direction: ltr !important;" class="">
Statement of teaching philosophy</li><li style="box-sizing: border-box; border: 0px; margin: 0px; padding: 0px; font-family: inherit; list-style: disc outside; direction: ltr !important;" class="">
The names and email addresses for three references</li><li style="box-sizing: border-box; border: 0px; margin: 0px; padding: 0px; font-family: inherit; list-style: disc outside; direction: ltr !important;" class="">
<a href="https://www.rit.edu/academicaffairs/facultyrecruitment%20s/Diversity_Statement_Guide_for_candidates_4-12.docx" style="box-sizing: border-box; border: 0px; margin: 0px; padding: 0px; font-family: inherit; cursor: pointer; color: rgb(0, 100, 141); direction: ltr !important;" class="">Contribution
to Diversity Statement</a></li></ul>
Contact the search committee with questions on the position at <a style="box-sizing: border-box; border: 0px; margin: 0px; padding: 0px; font-family: inherit; text-decoration: underline; cursor: pointer; color: rgb(0, 100, 141); direction: ltr !important;" class="">jvacis@rit.edu</a>.
Review of applications will begin immediately and continue until a suitable candidate is found. Application materials will be accepted through 1/17/2023.
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Additional Details</div>
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The hiring process for this position may require a criminal background check and/or motor vehicle records check. Any verbal or written offer made is contingent on satisfactory results, as determined by Human Resources. RIT does not discriminate. RIT promotes
and values diversity, pluralism and inclusion in the work place. RIT provides equal opportunity to all qualified individuals and does not discriminate on the basis of race, color, creed, age, marital status, sex, gender, religion, sexual orientation, gender
identity, gender expression, national origin, veteran status or disability in its hiring, admissions, educational programs and activities. RIT provides reasonable accommodations to applicants with disabilities under the Rehabilitation Act, the Americans with
Disabilities Act, the New York Human Rights Law, or similar applicable law. If you need reasonable accommodation for any part of the application and hiring process, please contact the Human Resources office at 585-475-2424 or email your request to <a style="box-sizing: border-box; border: 0px; margin: 0px; padding: 0px; font-family: inherit; text-decoration: underline; cursor: pointer; color: rgb(0, 100, 141); direction: ltr !important;" class="">hr@rit.edu</a>.
Determinations on requests for reasonable accommodation will be made on a case-by-case basis.</div>
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Commitment To Safety</div>
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COVID 19: Please familiarize yourself with the requirements of the <a href="https://www.rit.edu/ready/rit-safety-plan" style="box-sizing: border-box; border: 0px; margin: 0px; padding: 0px; font-family: inherit; cursor: pointer; color: rgb(0, 100, 141); direction: ltr !important;" class="">RIT
Safety Plan</a>. Information on the responsibility for each employee can be found on the <a href="https://www.rit.edu/ready/" style="box-sizing: border-box; border: 0px; margin: 0px; padding: 0px; font-family: inherit; cursor: pointer; color: rgb(0, 100, 141); direction: ltr !important;" class="">RIT
Ready</a> website. As per the <a href="https://www.rit.edu/fa/humanresources/content/rit-mandatory-employee-covid-19-vaccination-policy" style="box-sizing: border-box; border: 0px; margin: 0px; padding: 0px; font-family: inherit; cursor: pointer; color: rgb(0, 100, 141); direction: ltr !important;" class="">RIT
Employee COVID-19 Vaccination Policy</a>, all university employees must be fully vaccinated for COVID-19. Vaccination exemptions may be granted: (1) to employees who are unable to be vaccinated due to a medical condition or disability; (2) on the basis of
an employee’s sincerely held religious belief, practice, or observance, or (3) to employees who are fully remote and sign an Employee Attestation stating that they will not be on campus for any reason, nor will they participate in any in-person university-sponsored
activities.</div>
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