The Department of Radiological Sciences in the David Geffen School of Medicine at UCLA has an immediate full time faculty opening at the Assistant or Associate Professor level in either the in-Residence or Adjunct series for a basic scientist with expertise in the application of AI and machine learning in the acquisition and post processing analysis in computed tomography (CT). The candidate is expected to collaborate with biomedical physicists, radiologists, and other scientists both within and outside the Department. S/he will have access to state-of-the-art imaging platforms, including CT systems (dual source CT, an interventional CT dedicated to experimentation, and platforms with iterative reconstruction and other dose reduction features).
Cultural North Star. 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.
Individuals with a history of and commitment to mentoring students from underrepresented minorities are encouraged to apply.
The University of California seeks to recruit and retain a diverse workforce as a reflection of our commitment to serve the people of California, to maintain the excellence of the University, and to offer our students richly varied disciplines, perspectives and ways of knowing and learning.
To apply, go to the online posting JPF05754 at https://recruit.apo.ucla.edu . The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants
Candidates at the Assistant Professor level must have strong quantitative imaging/data science backgrounds and have the capacity to develop a collaborative, but independent research program in computational methods, machine learning, or probabilistic disease modeling predicated on medical and pathology image analysis; a record of extramural funding is highly desirable. Candidates at the Associate Professor level must have a demonstrated record of extramural funding and must also demonstrate scientific leadership and the ability to develop sustainable projects with the potential for significant impact in biomedicine, as well as a history of collaboration. All applicants must have a doctoral degree (PhD, MD/PhD, or equivalent) and a strong publication record that includes computational image analysis in CT. Applicants must demonstrate leadership in research and possess outstanding teaching and mentoring capabilities with graduate students.
The department is seeking outstanding candidates with the potential for exceptional research, and excellence in teaching, and also a clear commitment to enhancing the diversity of the faculty, graduate student population, and of the majors in .
A demonstrated commitment to improving access to higher education for disadvantaged students through teaching or mentoring activities is desired.
The Department is particularly interested in candidates who have experience working with students from a diverse background and a demonstrated commitment to improving access to higher education for disadvantaged students.
Experience in mentoring women and minorities in STEM fields is desired.