POSTDOCTORAL ASSOCIATE
New York University Tandon School of Engineering
The Visualization Imaging and Data Analysis Center (VIDA) at New York University invites applications for a Postdoctoral Associate. The successful candidate will join a research group working at the intersection of artificial intelligence, data management, visualization, and scientific discovery, with a focus on developing AI-driven methods and open-source systems to address challenges in data discovery, integration, and agentic systems.
New York University (NYU) is a top private university in the United States, and the Tandon School of Engineering, located in Brooklyn, NY, is deeply committed to excellence in research, teaching, and learning. Tandon fosters innovation and entrepreneurship that make a difference in the world. VIDA offers a collaborative, interdisciplinary research environment with strong connections to NYU's broader strengths in AI/ML and partnerships spanning the natural sciences and biomedical research. New York City provides unmatched access to world-class academic institutions, leading industry research laboratories, and a thriving startup ecosystem — making it an exceptional setting for postdoctoral career development.
Responsibilities
The candidate will help lead new research efforts, contribute to ongoing projects, and be a core member of VIDA, including mentoring Ph.D. and MS student researchers as appropriate.
Conduct original research on AI-driven methods for discovery, integration, and agentic systems
Salary range
The position comes with a competitive salary, full benefits, and strong support for career development, including teaching opportunities for those who wish to pursue them. The initial appointment is for two years, with the possibility of an extension. In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $75,000 – $110,000.
Ideal candidates will have a Ph.D. in Computer Science, Data Science, Information Science, or a related field, along with experience in one or more of the following: data management and integration, machine learning and AI, information visualization, and open-source software development.
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