The Institute of Computational Science and Artificial Intelligence (COSARI) at Van Lang University aims to become a leading hub for research, innovation, and knowledge transfer in data science, artificial intelligence, and modern computational technologies.
We are seeking Researchers who are passionate about scientific discovery, committed to academic excellence, and eager to contribute to the advancement of science and technology in higher education.
• Conduct research projects and scientific studies approved by the University.
• Publish research findings in reputable national and international journals.
• Participate in the development of research groups and laboratories and engage in academic–industry collaboration projects.
• Support teaching activities and supervise undergraduate and postgraduate students in research.
• Contribute to the strategic research and technology transfer initiatives of the Institute and the University.
• Attend and present at academic conferences, symposia, and international collaborations.
Education & Experience:
• Hold a PhD or higher in Computer Science, Artificial Intelligence, Data Science, Applied Mathematics, or a closely related field.
• Preference for graduates from top-ranked international universities.
• Preference for candidates with research experience or strong publication records at reputable institutions.
• Candidates without prior research experience may undergo a research fellowship or probationary program as required by the University.
Skills & Competencies:
• Fluent in academic English, with certification equivalent to B1 or higher (IELTS ≥ 6.0 preferred).
• Demonstrated research interests aligned with the University’s strategic direction and the Institute’s research labs.
• Strong teamwork, innovation mindset, and commitment to academic and professional growth.
• An open and collaborative academic environment that fosters creativity and interdisciplinary research.
• Opportunities to engage in international research projects and industry collaborations.
• Comprehensive support for publications, conference participation, and development of research groups.
Applicants are kindly requested to compress all documents into a single file (<1GB) for submission.
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