Postdoc: Causal AI for Scientific Discovery

University of Virginia; Charlottesville (VA); On-site; USD 54,000 - 66,000; Full time

Benefits offered by this job

UVA Health Plan

Vision Coverage

Dental Plan

Paid Time Off

Job summary

The University of Virginia School of Data Science invites applications for a Postdoctoral Research Associate position at the intersection of large foundation models, causal inference, and scientific discovery. The successful candidate will pursue a bidirectional research agenda, reporting to Sheng Li, PhD, and collaborating with the RISE Lab.

The role offers opportunities to mentor graduate students, publish in leading venues, and develop an independent research profile while shaping future

Qualifications

• Doctoral degree in Data Science, Computer Science, ML, Statistics, Electrical and Computer Engineering, Information Science, or similar.
• Strong publication record.
• Ability to lead research projects within a team.

Responsibilities

• Lead independent and collaborative research on foundation models, causal inference, and AI-enabled discovery.
• Develop algorithms, benchmarks, and experiments; write high-quality manuscripts.
• Mentor graduate students and collaborate across disciplines.

Skills

Publication record

Research leadership

Communication

Reproducible research

Education

PhD or equivalent

Job description

The University of Virginia School of Data Science invites applications for a Postdoctoral Research Associate position at the intersection of large foundation models, causal inference, and scientific discovery. The successful candidate will pursue a bidirectional research agenda, reporting to Sheng Li, PhD, and collaborating with the RISE Lab.

The role offers opportunities to mentor graduate students, publish in leading venues, and develop an independent research profile while shaping future