Faculty of Data Science

THE POSITION 

Faculty of Data Science is a full-time research focused position at College of Engineering and Computer Science and will have the opportunity to collaborate with the Institute of Big Data Research. 

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. 

THE INSTITUTE OF BIG DATA RESEARCH 

The Center is designed to advance research at the intersection of biotechnology and applied mathematics — integrating genomics, big data, and AI to address national challenges in data infrastructure, smart agriculture, and genetic innovation for sustainable development. 

POSITION REQUIREMENTS 

The faculty member will be responsible for 03 primary responsibilities:  

Research 

• Participate in several research groups in the data science sector with minors in genetics, agriculture and healthcare. 
• Carry out research and produce high-quality publications, patents, or other research outputs.  
• Obtain competitive research funding support. 

Teaching 

• Teach the assigned courses including responsibilities for lectures, assignments, labs, projects, assessment, and office hours.   
• Supervise undergraduate and graduate students. 

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) in Computer Science, Statistics, Data Science with knowledge of Genetics or experience in related Natural Science fields, Applied Mathematics from a prestigious university. 
• 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 05 years; and active participation in professional societies. 

• Professor 

Internationally recognized academic and research leadership; substantial, sustained record of high-impact, funded research for 10 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. 

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