PhD Student with Fully-Funded Assistantship: The Reducing Information Ecosystem Threats (RIET) Lab at the University of Connecticut is currently hiring proactive and curious prospective PhD students with fully-funded assistantship opportunities in the fields of AI Safety, Generative AI, AI Ethics, Bias Mitigation, Fairness, Misinformation and Social Media.
Position Details
Research Area:
- AI Safety, Generative AI, and Agentic AI Systems
- AI Ethics, Bias Mitigation, and Fairness
- Misinformation and Social Media, especially utilizing techniques from Information Retrieval and Knowledge Graphs
Location: University of Connecticut, USA
Eligibility/Qualification:
- Strong interest or background in one or more of the focus areas
- Underrepresented minorities and diverse applicants in computer science are especially encouraged to apply
- Fulfill the UConn School of Computing PhD admissions requirements
Job Description:
- Conduct research in one of the specified focus areas
- Collaborate with experts from various disciplines
- Analyze petabyte-scale datasets from social networks
- Prioritize problems impacting minoritized communities
- Utilize state-of-the-art AI techniques
How to Apply:
- Submit your application through the UConn system following the official admissions deadline.
- Email both shiridh AT uconn.edu and avijit.g AT uconn.edu with the subject line “PhD application: Focus area XX: your-full-name” (where XX is 1, 2, or 3), attaching your resume, personal statement, publication citations, contact information of three references, and a brief description of your interest and experience in the specified areas.
Last Date for Apply: Rolling basis, with preference for early submissions.
For more information and detailed instructions on the application process, please visit the RIET Lab’s hiring page. Apply to join us in tackling critical challenges in AI and information ecosystem threats.
