Faculty of Computer Science (AI Research)

and will have the opportunity to work in affiliation with Center for AI Research (CAIR). COLLEGE OF ENGINEERING AND COMPUTER SCIENCE The College of Engineering and Computer Science (CECS) at VinUniversity provides a rigorous academic foundation and extensive opportunities for interdisciplinary, application-oriented research and learning. In collaboration with seven research centers, CECS combines an international-standard curriculum with state-of-the-art facilities and strategic industry partnerships, particularly within the Vingroup ecosystem, to cultivate an academic environment that catalyzes technological and scientific breakthroughs. Focus Areas: Human Computer Interaction (HCI) Internet-of-Things (IoT) Parallel Computing Network Security Computer and Software Security Data & Information Security and Information Security Management Computational Intelligence (evolutionary algorithms, nature inspired algorithms, optimization) Distributed Systems Quantum Computing Quantum Communication Computer Science for marketing, accountancy, and finance ABOUT CENTER FOR ARTIFICIAL INTELLIGENCE RESEARCH CAIR serves as both a core research unit and horizontal enabler for other research centers by advancing fundamental AI and translating to impact projects. The research focus is on: Trustworthy and Responsible Embodied Generative AI Human-Centric AI Biomorphic Intelligence POSITION REQUIREMENTS The faculty member will be responsible for three primary responsibilities: Research Lead high-impact research with strong translational outcomes and publications in top-tier journals and secure competitive external funding. Foster interdisciplinary collaboration within and beyond the College through active engagement in academic events. Contribute to innovation, entrepreneurship, and technology transfer, including commercialization efforts. Teaching Develop, plan, and deliver high-quality, accredited curricula for undergraduate and/or graduate programs. Prepare course materials, deliver lectures and tutorials, assess student performance, provide feedback, and supervise academic projects. Supervise research students and projects, and mentor junior faculty to support their professional Service Contribute to university service through committee work, faculty recruitment, accreditation, and program development. Support initiatives aligned with VinUni’s strategic goals and carry out duties assigned by the supervisors. KEY SELECTION CRITERIA General Requirements (All Faculty Levels) Degree: PhD (or equivalent terminal/professional degree) from a prestigious university in relevant discipline: Computer Science, Data Science, Artifical Intelligence, etc. Teaching: Demonstrated teaching ability and commitment to student-centered, active and authentic learning. Research: Evidence of scholarly achievement or strong potential through publications in reputable, peer-reviewed journals; engagement in international conferences or research collaborations; and commitment to developing an independent, externally funded research program. Service/Industry Engagement: Experience in multinational, multicultural, or start-up environments is highly valued. Specific Requirements by Rank Assistant Professor Postdoctoral or equivalent experience is preferable. Demonstrated potential for high-quality, independent research, and effective teaching. International research engagement is an advantage. Associate Professor Extensive teaching experience with recognized excellence; sustained record of publications and leadership in the discipline; success in securing research funding as Principal Investigator for at least five years; and active participation in professional societies. Professor Internationally recognized academic and research leadership; substantial, sustained record of high-impact, funded research for ten years or more; keynote presentations, awards, or honors for research excellence; and distinguished teaching and mentorship experience. We thank all applicants for their interest. Please note that only those candidates selected for interviews will be contacted. Negotiable