Presidency University is making a massive leap forward. We are committed to becoming a true AI-Centric University - where AI is not confined to a department, but embedded across disciplines, research programs and academic design.
To enable this transformation, Presidency University has invested in the state-of-the-art NVIDIA DGX H200 System - a top-tier GPU and HPC ecosystem.
The Chief AI Officer will be responsible for designing and operationalizing Presidency University's AI transformation.
Key Responsibility Areas
1. Strategy and Mission
- Collaboratively work with the University Leadership Team to articulate and champion a coherent Charter for CAIIR, long-term academic vision for AI across the University
- Translate the CAIIR's Charter into actionable academic programs, research themes, initiatives and partnerships
- Ensure AI is positioned as an integrative intellectual framework across disciplines with a distinctive focus on interdisciplinary applications
2. Academic Imperative
- Guide the design and evolution of interdisciplinary AI curricula
- Support innovative pedagogical approaches involving AI
- Foster AI literacy and engagement across the University and beyond, particularly non-technical domains
3. Research Excellence
- Lead the development of interdisciplinary AI research and innovation
- Mentor select faculty members and doctoral researchers
- Secure research funding and partnerships for translational research in AI
4. Capability Development
- Attract, develop and retain high-quality AI faculty and researchers
- Enable joint appointments and interdisciplinary academic pathways
- Collaborate with leadership across domains to build new competences
5. Stewardship of AI Research Environments
- Ensure that AI-Infrastructure supports academic depth, curricular experimentation and interdisciplinary work across the University and beyond
- Formulation of Policies on the deployment of AI environments for research
- Engage with Industry, Business, Government to extend and leverage the AI Platform and Intellectual Capital of the University for consulting solutions
6. External Engagement
- Promote CAIIR in national and international forums
- Build partnerships with Academia, Research Labs and Government Agencies
- Contribute to public and policy discourse on Responsible AI and Societal Imperatives aligned with the National Mission
7. Expected Impact (35 years)
- Establish interdisciplinary AI education and research ecosystem
- Recognition of the University as an AI-Centric academic and research institution
- Domain Expertise and Contribution in select focus areas (e.g. Material Science / Quantum Materials, Logistics, Healthcare, Finance)
Essential Qualifications
- Ph.D. from reputed University/Institute in Artificial Intelligence, Data Science, or related interdisciplinary domain with substantial AI research contributions
- Demonstrated domain expertise with intellectual breadth to foster collaboration across disciplines for institutional impact
Experience
- Experienced Professor with leadership responsibilities in recognized Academic Schools/Research Centres, or, as Director/Senior Leadership role in large AI Research/Application Organizations
- Research Supervisor with 2-3 Ph.D. Theses / Industry AI Research Projects
