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Cornell University

Cornell AI4S Initiative

Artificial Intelligence for Sustainability

AI4S Postdoctoral Associate Program

The Cornell University AI4S Postdoctoral Associate Program offers an exceptional opportunity for postdoctoral researchers to engage in cutting-edge research projects on artificial intelligence for sustainability (AI4S). This program provides an unparalleled platform for researchers to contribute to innovative AI4S solutions while engaging in interdisciplinary training and collaboration within a world-class academic environment.

AI4S Postdoctoral Associates drive innovative research that aligns with CAISI’s mission, addressing critical challenges in sustainable materials, energy decarbonization, food sustainability, climate systems, and other interconnected areas. The program fosters interdisciplinary collaboration, creating a dynamic and supportive environment for leveraging artificial intelligence (AI) to develop transformative solutions to complex sustainability challenges.

Key Features:

  • Prestigious Title: Postdoctoral associates hold the title of AI4S Postdoctoral Associate throughout their appointment at Cornell University, reflecting their dedication to advancing sustainability through AI.
  • Research Excellence: Guided by one or more mentors, including a primary CAISI-affiliated faculty member, postdoctoral associates contribute to transformative research on AI4S.
  • Interdisciplinary Collaboration: AI4S Postdoctoral Associates participate in interdisciplinary training alongside AI4S NRT trainees, attend specialized seminars and workshops, and engage in other AI4S community events designed to foster professional growth and innovative thinking.
  • Networking Opportunities: Through participation in CAISI events and collaborations, AI4S postdoctoral associates expand their professional network, connecting with a diverse community of researchers, students, and academic leaders dedicated to sustainability.
  • World-Class Resources: As part of Cornell University, postdoctoral associates benefit from access to state-of-the-art facilities, computational resources, and a supportive research ecosystem that empowers them to achieve their goals.

Eligibility and Application Process

Prospective applicants should be nominated by a CAISI faculty member, who will serve as the primary mentor and provide funding support. Ideal candidates will have a strong academic background in AI and sustainability-related fields, with a proven ability to conduct high-quality research and a commitment to developing interdisciplinary solutions to pressing global challenges.