Computational Imaging Faculty FY2324

The Department of Radiological Sciences in the David Geffen School of Medicine is recruiting for a full-time Professor to join the faculty in an Adjunct or in-Residence series position, all ranks, in the area of computational imaging. The faculty member will join a highly collaborative group and receive significant departmental resources to support grant writing and management. The incumbent will be expected to establish a pioneering research program in computational medical imaging and compete for extramural funding.

The Department encourages candidates to apply who have experience in and who have demonstrated commitment to working with students from diverse backgrounds and to improving access to higher education for disadvantaged students through teaching and mentoring activities.

Candidates must possess a Ph.D. degree or equivalent.

The posted UC salary scales (https://www.ucop.edu/academic-personnel-programs/compensation/index.html) set the minimum pay determined by rank and step at appointment. See Table 5 Scale 3. The salary range for this position is $106,900- $275,000. This position includes membership in the health sciences compensation plan (https://www.ucop.edu/academic-personnel-programs/_files/apm/apm-670.pdf), which provides for eligibility for additional compensation.

Apply online at https://recruit.apo.ucla.edu for #JPF08313.

The shared values of the DGSOM are expressed in the Cultural North Star, which was developed by members of our community and affirms our unswerving commitment to doing what's right, making things better, and being kind. These are the standards to which we hold ourselves and one another. Please read more about this important DGSOM program at https://medschool.ucla.edu/cultural-north-star.

UC Regents Statement on Ethical Values and Standards of Conduct: All aspects of searches are confidential and all candidates are expected to review and abide by UC Regents Policy 1111 on Statement on Ethical Values and Standards of Conduct https://regents.universityofcalifornia.edu/governance/policies/1111.html.

Targeted Reference Checks. The University of California is committed to creating and maintaining a community dedicated to the advancement, application, and transmission of knowledge and creative endeavors through academic excellence, where all individuals who participate in University programs and activities can work and learn together in a safe and secure environment, free of violence, harassment, bullying and other demeaning behavior, discrimination, exploitation, or intimidation. With this commitment as well as a commitment to addressing all forms of academic misconduct, UCLA conducts targeted employment reference checks for finalists to whom departments or other hiring units would like to extend formal offers of appointment into Academic Senate faculty positions. The targeted employment reference checks involve contacting the finalists' current and prior places of employment to ask whether there have been substantiated findings of misconduct that would violate the University's Faculty Code of Conduct. To implement this process, UCLA requires all applicants for Academic Senate faculty positions to complete, sign, and upload the form entitled "Authorization to Release Information" into RECRUIT as part of their application. If the applicant does not include the signed authorization to release information with the application materials, the application will be considered incomplete. As with any incomplete application, the application will not receive further consideration. Although all applicants for faculty recruitments must complete the entire application, only finalists (i.e., those to whom the department or other hiring unit would like to extend a formal offer) considered for Academic Senate faculty positions will be subject to targeted employment reference checks.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy, see UC Nondiscrimination and Affirmative Action Policy.

Department: http://www.radiology.ucla.edu

Candidates must possess a Ph.D. degree.

A degree in computer science, biomedical engineering, electrical engineering, statistics, and/or a related discipline is preferred. Desirable candidates will have expertise in the analysis of medical images using computational techniques. Specific application areas of interest include but are not limited to, image classification, image segmentation, image reconstruction, multi-modality data fusion, biomarker discovery, and quantitative phenotyping. A record of competitive extramural funding, interdisciplinary collaboration, and publications in one or more of these areas is highly favored.

• 3-5 letters of reference required

Referees are to upload their letters directly into UCRecruit JPF09085.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.

For the University of California's Affirmative Action Policy, please visit https://www.ucop.edu/academic-personnel-programs/_files/apm/apm-035.pdf.

For the University of California's Anti-Discrimination Policy, please visit https://policy.ucop.edu/doc/1001004/Anti-Discrimination.