Project Scientist (non-tenured, Assistant, Associate or Full level)

Halıcıoğlu Data Science Institute (HDSI) is conducting an open search for Project Scientist (non-tenured, Assistant, Associate or Full level) in collaboration with the Augmented imaging/Artificial intelligence and Data Analytics (AiDA) laboratory in the Department of Radiology. The mission of the The Halıcıoğlu Data Science Institute (HDSI) is to lay the groundwork for the scientific foundations of data science, develop new methods and infrastructure, and train students, faculty and industrial partners to use data science in ways that will allow them to solve some of the world’s most pressing problems. HDSI serves as a unique, collaborative and innovative academic unit across multiple disciplines at UC San Diego. The Department of Radiology in the School of Medicine at UCSD is a vibrant center of scientific discovery, innovation, and collaboration. UCSD, HDSI and Radiology are committed to academic excellence and diversity within the faculty, staff, and clinical and research trainees.

At UC San Diego, Project Scientists are academic researchers who are expected to make significant and creative contributions to a research team but are not necessarily leaders of the research team. They are not required to carry out independent research or develop an independent research reputation but will publish and carry out research or creative programs with supervision by a member of the Professor or Professional Research series. University and public service are encouraged but not required and they do not have formal teaching responsibilities. Appointments and duration vary depending on the length of the research project and availability of funding.

All candidates must have earned a Ph.D. or equivalent degree in biomedical imaging, engineering, computer science, statistics or related field by the start of appointment. Candidates with outstanding writing and communication skills as demonstrated by a successful publication record is preferred. Preferred qualifications include postdoctoral or equivalent experience with application of convolutional neural networks in biomedical imaging, a commitment to a research program, experience and interest in mentoring/training, and a commitment to building an equitable and diverse scholarly environment.

The successful candidate will join a multi-disciplinary team of investigators developing imaging technologies to improve diagnosis and management of cardiovascular disease, infectious disease and cancer. The appointee is expected to carry out research and provide expertise at the intersection of the fields of computed tomography (CT), magnetic resonance imaging (MRI), machine learning, image analysis, deep learning, data science, modeling, and signal processing.

Appointment level is dependent on academic experience and scholarly achievements. Salary is commensurate with qualifications and based on University of California pay scales.

Initial review of applications will commence on October 21, 2020 and will remain open until filled based on the on-going needs. Applicants must apply at:

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.