Faculty of Artificial Intelligence and Machine Learning

ABOUT VINUNIVERSITY

VinUniversity (VinUni) is Vietnam’s first private, not-for-profit university built to international standards. Established to transform higher education in Vietnam, VinUni blends global best practices with local context to become a world-class institution.

VinUni comprises of more than 1700 students and 4 colleges: College of Arts and Sciences; College of Business and Management; College of Engineering and Computer Science; and College of Health Sciences.

Every aspect of the University: its curricula, research, faculty, student body, facilities, and campus life, is developed to meet the highest standards set by the world’s leading accrediting and ranking organizations, such as ABET, AACSB, WFME, ACEN, Quacquarelli Symonds (QS) and Times Higher Education (THE).

In September 2024, VinUni became the youngest and fastest university in the world to achieve QS 5 stars across 9 categories.  In October 2024, VinUni was appointed by UNESCO as the first and only UNESCO University Chair, focusing on Environmental Leadership, Cultural Heritage, and Biodiversity.

Founded by Vingroup—one of Asia’s largest private conglomerates—VinUni benefits from a strong ecosystem of businesses in three main areas: Industrials & Technology; Real Estate & Services; Infrastructure; Green Energy; and Social Enterprises.

Aligned with VinUni’s Vision 2030, we are proud to announce our bold initiative to recruit 200 Research-focused Faculty across various disciplines. Together, we will be on the ambitious journey to become one of the world’s top universities by 2030.

THE COLLEGE

The College of Engineering and Computer Science (CECS) at VinUniversity is a dynamic center of innovation and inquiry, advancing knowledge across both foundational and emerging fields. While we offer four undergraduate programs—Computer Science, Data Science, Electrical Engineering, and Mechanical Engineering—as well as a PhD in Computer Science, our strength lies in cultivating a research ecosystem that is both interdisciplinary and impact-driven.

Our faculty and researchers are united by a shared mission: to push the boundaries of science and technology in service of societal progress. With an entrepreneurial mindset and a spirit of innovation, we pursue groundbreaking research in areas such as artificial intelligence for healthcare, privacy in autonomous systems, pathogen detection in wastewater, and energy-efficient technologies. We also engage with broader conceptual questions, including the philosophy of technology and the role of technological innovation in public services.

THE SMART GREEN TRANSFORMATION CENTER (GREEN-X)

GREEN-X at VinUni is an interdisciplinary research center focusing on smart green transformation, conducting scientific research, technology development, and policy consulting in areas such as carbon emission tracking, smart aquaculture, urban circular economy, green economic policy, and innovation competitiveness measurement—aiming to promote sustainable development and enhance the competitiveness of localities and businesses through data-driven, evidence-based, and field-validated approaches.

We are currently have 5 running projects:

• Carbon Footprint Monitoring and Management System (CarbonFootPrint)
• Smart Marine Conservation and Aquaculture System (SmartMarine)
• Smart Waste Management for Urban Circular Economy (SmartWaste)
• Green Policy Design and Evaluation (GreenPolicy)
• Vietnam Innovation & Green Growth Index (VIGGI)

THE POSITION

This full-time, research-focused faculty position carries a dual appointment between CECS and GREEN-X at VinUniversity. This position will primarily contribute to research activities at GREEN-X, while supporting teaching and mentoring students within CECS.

We welcome applications from those with expertise in AI/Machine Learning, especially with focus on advanced generalization/capabilities, massive scale, multimodality, agentic ability leading to publications and domain-specific applications

POSITION REQUIREMENTS

The faculty member will be responsible for three primary responsibilities:

1. Research

Example:

• Lead high-impact research with strong translational outcomes and publications in top-tier journals and secure competitive external funding.
• Lead the development of advanced AI models and AI-driven systems for carbon emission estimation, anomaly detection, marine biodiversity conservation, mariculture, pollution forecasting, and waste optimization.
• Support the application of NLP and large language models (LLMs) for policy document analysis and ESG disclosure detection; contribute to index modeling, data normalization, and integration of explainable AI components.
• Foster interdisciplinary collaboration within and beyond the College through active engagement in academic events.
• Contribute to innovation, entrepreneurship, and technology transfer, including commercialization efforts.

2. Teaching

Example:

• Develop, plan, and deliver high-quality, accredited curricula for undergraduate and/or graduate programs.
• Supervise research students and projects, and mentor junior faculty.

3. Service

Example:

• Contribute to university service through committee work, faculty recruitment, graduate student admission, accreditation, and program development.
• Support initiatives aligned with VinUni’s Vision 2030 and carry out duties assigned by the Dean and the Center’s Directors.

KEY SELECTION CRITERIA

Join us if you have:

• Doctorate degree from a globally recognized institution, with expertise in AI/CS/Software development.
• Strong vision for impactful, forward-thinking research and innovation.
• Proven record of high-impact research and top-tier publications.
• Passion for education and advancing science through innovative projects.
• Adaptable and driven to address global and local challenges, especially those relevant to Vietnam.
• Alignment with VinUni’s core values: Empathy, Exceptional Capability, Creativity, Entrepreneurial Spirit, and Leadership Mindset.

We thank all applicants for their interest. Please note that only those candidates selected for interviews will be contacted.