UNC Chapel Hill Postdoctoral Researcher Openings in Multimodal, Biomedical and Trustworthy AI
University of North Carolina at Chapel Hill
Assistant Professor Tianlong Chen is recruiting several postdoctoral researchers for the UNITES Group in Computer Science at UNC Chapel Hill. Research areas include multimodal learning, biomedical AI, agentic and embodied AI, trustworthy AI, uncertainty quantification, bias analysis and model evaluation. The initial appointment is one year, with a possible performance-based extension.
Assistant Professor Tianlong Chen is recruiting several motivated postdoctoral researchers to join the University of North Carolina, AI Trustworthiness, Efficiency, and for Science (UNITES) Group in the Department of Computer Science at UNC Chapel Hill.
The group studies efficient and reliable machine learning, large-language-model agents, multimodal learning and artificial intelligence for biomedical science. The current recruitment announcement welcomes applicants whose technical backgrounds include, but are not limited to:
- Multimodal learning.
- Artificial intelligence for biomedical science.
- Agentic AI and embodied AI.
- Trustworthy AI, including uncertainty quantification, bias analysis and model evaluation.
Appointment: the initial appointment is for one year. An extension may be possible depending on performance.
How to apply: interested candidates should email their current CV to tianlong@cs.unc.edu. The announcement does not request additional materials at the initial-contact stage. Candidates who advance should follow any formal UNC employment and immigration procedures provided by the university.
Application timing: no closing date is stated. The announcement is currently active, so suitable candidates should apply promptly.
Benefits
- A one-year postdoctoral research appointment in the UNITES Group at UNC Chapel Hill.
- Possible extension depending on performance.
- Research opportunities across multimodal learning, biomedical science, AI agents, embodied AI and trustworthy machine learning.
- Participation in an active research group supported by academic, government and industry collaborations.
Compensation note: the recruitment announcement does not state salary, health insurance, relocation support or other employment benefits. Applicants should request the complete written compensation, benefits, appointment and renewal terms before accepting an offer.
Eligibility summary
- Must have received a Ph.D. within the past five years.
- Must be a U.S. citizen, U.S. permanent resident, eligible for first-year Optional Practical Training (OPT), or eligible for J-1 status.
- Must have a strong background in machine learning, medical AI, biomedical engineering, computer vision, data science or a related area.
- Research preparation should align with at least one advertised direction: multimodal learning, biomedical AI, agentic or embodied AI, trustworthy AI, uncertainty quantification, bias analysis or model evaluation.
International applicants are not automatically excluded, but they must meet the stated first-year OPT or J-1 eligibility condition. Candidates should confirm their individual work-authorisation and sponsorship circumstances with UNC before accepting an appointment.
Requirements
- Email an up-to-date CV to Tianlong Chen.
- Clearly present relevant doctoral research, publications, technical skills and experience aligned with the advertised research areas.
- Be prepared to document the date the Ph.D. was awarded and the applicable U.S. citizenship, permanent-residence, OPT or J-1 eligibility category.
- Complete any formal UNC Chapel Hill employment application, background check and immigration documentation requested after initial review.
Documents required
- Current curriculum vitae.
- Additional research materials, references, degree evidence or work-authorisation documents if requested during the selection process.
Language/test requirements
How to submit applications
Provider: Department of Computer Science, University of North Carolina at Chapel Hill
The user-submitted recruitment image states the appointment length, research areas, eligibility conditions and email application route. The official UNITES Group profile confirms Tianlong Chen's UNC affiliation, email address and aligned research programme.
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