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  • Faculty of Data Science
    Vietnam
    VinUniversity

    ABOUT VINUNIVERSITY 


    VinUniversity (VinUni) is the first private, not-for-profit Vietnamese university established based on international standards. The university integrates the models of excellent international universities with the unique cultural and economic characteristics of Vietnam, to make a breakthrough in Vietnamese higher education and to become a world-class university. 


    The University has built strategic collaborations with Cornell University and the University of Pennsylvania — a choice that speaks to our commitment to excellence, innovation in research and teaching, and to making a difference in the world. VinUni comprises of College of Arts and Sciences; College of Business and Management; College of Engineering and Computer Science; and College of Health Sciences.  


    VinUni’s founding benefactor - Vingroup is one of the biggest private conglomerates in Asia with the largest market capitalization value in Vietnam. As a multisector corporation, Vingroup focuses on three main areas: Industrials & Technology; Real Estate & Services; Infrastructure; Green Energy; and Social Enterprises. VinUni is proud to be a part of the Vingroup ecosystem, giving its students the opportunities to connect with pioneering companies (such as VinFast, Vinpearl, Vinmec, Vinschool, and Vinhomes) and a dynamic entrepreneurial ecosystem (such as VinVenture, VinMotion, or VinRobotics, VinSpace…). 


    In September 2024, VinUni became the youngest and fastest university in the world to achieve QS 5 stars, earning 5 stars in 9 categories: global engagement, good governance, program strength, academic development, teaching, employability, facilities, arts, and social impact.  In October 2024, VinUni was appointed by UNESCO as the first and only UNESCO University Chair, focusing on Environmental Leadership, Cultural Heritage, and Biodiversity. 


    On our journey to become one of the world’s top 100 universities, VinUni is building a dynamic ecosystem of innovation and discovery. Through strategic investments in world-class research centers, state-of-the-art facilities, and transformative technologies, the university empowers collaboration across disciplines, strengthens partnerships with industry and society, and nurtures a thriving global network, who spearheads advancements in AI/Machine Learning, Data Science, Environmental Intelligence, Innovations in Health Sciences, Policy Development and Sustainable Societies. 


    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 members 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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