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The Rector & Visitors of the University of Virginia

Postdoctoral Research Associate - Continually Monitoring and Updating Multi-moda

The Rector & Visitors of the University of Virginia, Charlottesville, Virginia, United States, 22904

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About the Position

We are recruiting a Postdoctoral Research Associate to join Tom Hartvigsen's research group in UVA's School of Data Science. The postdoc will work on developing machine learning methods to enable dermatologists to continually update multi-modal machine learning models. Research objectives include: 1) developing novel model editing methods for multi-modal models with a focus on vision-language models, and 2) developing inherently-editable vision-language model architectures to facilitate continuous updates during deployment. The postdoc's main responsibilities are to develop and evaluate novel machine learning methods (including validation on dermatology data), collaborate with clinicians to translate methods into practice, communicate results within the team, and disseminate findings through publications and presentations. The postdoc will be a member of an interdisciplinary multi-university team and will have the opportunity to collaborate with Ahmed Alaa (UC Berkeley & UCSF) and Roxana Daneshjou (Stanford) and their research teams. This position is part of project #1OT2OD038079-01 funded by the NIH. Minimum Qualifications

PhD degree in computer science, data science, or related fields. Effective written and verbal communication skills Robust machine learning and natural language processing skills Proficient computer programming skills Preferred Qualifications

Track record of top-tier machine learning publications Experience with machine learning on medical images Experience designing language model or vision-language model architectures Excellent analytical, problem-solving, critical thinking, and communication (written and oral) skills Ability to work independently, collaboratively, and creatively Physical Demands

This is primarily a sedentary job involving extensive use of desktop computing. The position may require traveling some distance to attend meetings and programs. Position Details

This position will remain open until filled. This is a full-time in-person position at the School of Data Science at the University of Virginia in Charlottesville, VA. The initial appointment is for one year; it may be renewed for an additional year contingent upon funding and satisfactory performance. This is an exempt level, benefited position. This position will sponsor work visas. This is a term-limited position. Anticipated Annual Salary:

$60,000 Anticipated Start Date:

January 2026 Health and Other Benefits

The choice among three health plans; vision and dental insurance; life insurance; benefits savings accounts; starting with 22 days of paid time off per year in addition to 12 or more paid holidays; 8 weeks of paid parental leave; short-term disability; up to $4,360 after the first year for tuition toward a degree-seeking program or up to $2,000 for professional development including classes, certification training, and conferences; and more. Application Process

Please visit the UVA job board: Careers at UVA Jobs and search for R0077182. Complete an online application and attach: Cover letter detailing your interest and relevant experience to this position Resume or CV Applications that do not contain all required documents will not receive full consideration. References and Background Check

References will be completed via direct reach. Please plan to provide at least three references when applying. A background check is required and will be conducted per university policy prior to the first day of employment. Contacts

For questions about the position, contact Tom Hartvigsen, Assistant Professor, at hartvigsen@virginia.edu. For questions about the application process, please contact Daniel Strong, Senior Human Resources Recruiter, at das6zb@virginia.edu. For more information about UVA and the Charlottesville community, see www.virginia.edu/life/charlottesville and https://embarkcva.com/.

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