Project Scientist (non-tenured, Assistant, Associate or Full level)
Open date: September 16, 2022
Most recent review date: Sunday, Mar 5, 2023 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Friday, Jun 30, 2023 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Halicioğlu Data Science Institute (HDSI) is conducting an open search for a Project Scientist (non-tenured, Assistant, Associate, or Full level) in collaboration with the Augmented imaging and Data Analytics (AiDA) laboratory in the Department of Radiology. HDSI serves as a unique, collaborative, and innovative academic unit across multiple disciplines at UC San Diego. The Department of Radiology is a vibrant center of scientific discovery, innovation, and collaboration within the campus' School of Medicine.
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 a research group. They are not required to carry out independent research or develop an independent research reputation but are expected to publish and conduct 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. Project Scientists do not have formal teaching responsibilities.
The successful candidate will join a multi-disciplinary team of investigators developing imaging technologies to improve diagnosis and management of cardiovascular disease, infectious diseases, and cancer. The successful 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 (ML), image analysis, deep learning, data science, modeling, and signal processing.
Appointment level is dependent on academic experience and scholarly achievements and duration is dependent on the length of the research project and availability of funding. Salary is commensurate with qualifications and based on University of California pay scales.
All applicants must have a Ph.D. or equivalent, or advanced to candidacy, in biomedical imaging, engineering, computer science, statistics or related field by time of application.
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 (FY 22-23).
Candidates with outstanding writing and communication skills, as demonstrated by a successful publication record, are preferred.
Preferred qualifications also 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.
Curriculum Vitae - Your most recently updated C.V.
Publications - Please provide copies of 5 significant publications.
Statement of Research
Statement of Contributions to Diversity - Applicants should summarize their past or potential contributions to diversity. See our Faculty Equity site for more information.
Statement of Teaching (Optional)
Misc / Additional (Optional)
- 3-5 letters of reference required
Help contact: firstname.lastname@example.org
The University of California, San Diego is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, covered veteran status, or other protected categories covered by the UC nondiscrimination policy.
As a condition of employment, you will be required to comply with the University of California SARS-CoV-2 (COVID-19) Vaccination Program Policy. All Covered Individuals under the policy must provide proof of Full Vaccination or, if applicable, submit a request for Exception (based on Medical Exemption, Disability, and/or Religious Objection) or Deferral (based on pregnancy) no later than the applicable deadline. For new University of California employees, the applicable deadline is eight weeks after their first date of employment.
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