Postdoctoral Research Associate - Continually Monitoring and Updating Multi-modal AI Models

University of Virginia • VA

88d • $60,000

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 ultimately let dermatologists continually update multi-modal machine learning models. Our research objectives are to 1) develop novel model editing methods for multi-modal models, with a focus on vision–language models, and 2) develop novel, inherently-editable vision–language model architectures to facilitate continuous updates during deployment. The postdoc’s main responsibilities will be to develop and evaluate novel machine learning methods, including validation on dermatology data, aiding the translation of developed methods into practice by collaborating with clinicians, communicating results to other members of the team, and disseminating research findings through publications and presentations. The postdoc will be a member of an interdisciplinary multi-university team and will have the opportunity to collaborate closely with Ahmed Alaa (UC Berkeley & UCSF), Roxana Daneshjou (Stanford), and their research teams. This position is part of project #1OT2OD038079-01 funded by the NIH.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• Develop and evaluate novel machine learning methods.
• Validate methods on dermatology data.
• Collaborate with clinicians to translate developed methods into practice.
• Communicate results to team members.
• Disseminate research findings through publications and presentations.

Benefits

• Choice between 3 different health plans.
• Vision and dental insurance.
• Life insurance.
• Benefits savings accounts.
• Starting with 22 days of paid time off a year in addition to 12 or more paid holidays.
• 8 weeks of paid parental leave.
• Short term disability.
• Up to $4,360 after your first year for combined use of tuition toward a degree-seeking program or up to $2,000 for professional development including classes, certification training and conferences.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree