Post Doctoral Associate
University of Pittsburgh | |
United States, Pennsylvania, Pittsburgh | |
4200 Fifth Avenue (Show on map) | |
Nov 02, 2024 | |
Post Doctoral Associate SHRS-Rehab Sci & Tech - Pennsylvania-Pittsburgh - (24008316) Job Title:Postdoctoral Research Fellow - AI and NLP Location:University of Pittsburgh, Pittsburgh, PA Job Description:We are seeking a Postdoctoral Associate to join our interdisciplinary team dedicated to developing and implementing AI-driven solutions, with a focus on natural language processing, machine learning, generative AI, and/or large language models. The Postdoctoral Research Fellow will be co-advised by Dr. Ding Dan from the Department of Rehabilitation Science and Technology and Dr. Yanshan Wang from the Department of Health Information Management. The primary role of the Fellow will be to conduct research to support individuals with disabilities in navigating complex healthcare systems, assistive technology options, and funding resources. Responsibilities:
Qualifications:
Apply at join.pitt.edu req#24008316 Interested candidates should submit a detailed CV, a cover letter outlining relevant experience and interest in the project, and contact information for three references. The University of Pittsburgh is committed to championing all aspects of diversity, equity, inclusion, and accessibility within our community. This commitment is a fundamental value of the University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces. We will continue to create and maintain an environment that allows individuals to discover, belong, contribute, and grow, while honoring the experiences, perspectives, and unique identities of all. The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets. Assignment Category: Full-time regular Campus: Pittsburgh Required Attachments: Cover Letter, Curriculum Vitae, Other (see posting for additional details) Assignment Category Full-time regular PI254131328 |