Research Assistant Professors #RAD053
Chicago, Illinois
Employer: The University of Chicago
Industry: Department of Radiology
Salary: Competitive
Job type: Full-Time
Description
The University of Chicago's Department of Radiology seeks Research Assistant Professors who will focus on applications of Deep Learning to prostate Magnetic Resonance Imaging (MRI). Appointees will conduct academic research in association with one of the leading laboratories working to develop innovative MRI methods for prostate cancer screening and image guided therapy. They will work with a large, interdisciplinary, collaborative, talented, and diverse group of people at University of Chicago Radiology Department and the MRI Research Center. The MRI Research Center is equipped with two state-of-the-art Philips 3T scanners with specialized detectors for prostate imaging. In addition, there is a 9.4 Tesla Bruker scanner for studies of small animal models of cancer. State-of-the-art computing resources are available in the Department of Radiology and in the University’s Research Computing Center. We especially welcome applicants who have a strong programming background, experience in deep learning under conditions of data scarcity/ limited resources, and experience in biomedical applications of MRI. Publication record and contributions to grants will be considered.
A more complete overview of the department is available at http://radiology.uchicago.edu/ .
Prior to the start of employment, qualified applicants must have: 1) a Ph.D. in Electrical Engineering, Computer Science, Bioengineering, Physics, or a related discipline, and 2) completed postdoctoral training.
To be considered, those interested must apply through The University of Chicago‚ Academic Recruitment job board, which uses Interfolio to accept applications: http://apply.interfolio.com/121258 . Applicants must upload: CV with bibliography and cover letter. Review of applications ends when the position is filled.
For instructions on the Interfolio application process, please visit http://tiny.cc/InterfolioHelp .
All University departments and institutes are charged with building a faculty from a diversity of backgrounds and with diverse viewpoints; with cultivating an inclusive community that values freedom of expression; and with welcoming and supporting all their members.
We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages diverse perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange. The University’s Statements on Diversity are at https://provost.uchicago.edu/statements-diversity .
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination .
Job seekers in need of a reasonable accommodation to complete the application process should call 773-834-3988 or email equalopportunity@uchicago.edu with their request.
The University of Chicago's Department of Radiology seeks Research Assistant Professors who will focus on applications of Deep Learning to prostate Magnetic Resonance Imaging (MRI). Appointees will conduct academic research in association with one of the leading laboratories working to develop innovative MRI methods for prostate cancer screening and image guided therapy. They will work with a large, interdisciplinary, collaborative, talented, and diverse group of people at University of Chicago Radiology Department and the MRI Research Center. The MRI Research Center is equipped with two state-of-the-art Philips 3T scanners with specialized detectors for prostate imaging. In addition, there is a 9.4 Tesla Bruker scanner for studies of small animal models of cancer. State-of-the-art computing resources are available in the Department of Radiology and in the University’s Research Computing Center. We especially welcome applicants who have a strong programming background, experience in deep learning under conditions of data scarcity/ limited resources, and experience in biomedical applications of MRI. Publication record and contributions to grants will be considered.
A more complete overview of the department is available at http://radiology.uchicago.edu/ .
Prior to the start of employment, qualified applicants must have: 1) a Ph.D. in Electrical Engineering, Computer Science, Bioengineering, Physics, or a related discipline, and 2) completed postdoctoral training.
To be considered, those interested must apply through The University of Chicago‚ Academic Recruitment job board, which uses Interfolio to accept applications: http://apply.interfolio.com/121258 . Applicants must upload: CV with bibliography and cover letter. Review of applications ends when the position is filled.
For instructions on the Interfolio application process, please visit http://tiny.cc/InterfolioHelp .
All University departments and institutes are charged with building a faculty from a diversity of backgrounds and with diverse viewpoints; with cultivating an inclusive community that values freedom of expression; and with welcoming and supporting all their members.
We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages diverse perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange. The University’s Statements on Diversity are at https://provost.uchicago.edu/statements-diversity .
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination .
Job seekers in need of a reasonable accommodation to complete the application process should call 773-834-3988 or email equalopportunity@uchicago.edu with their request.
Created: 2024-09-14
Reference: 111522
Country: United States
State: Illinois
City: Chicago
ZIP: 60018