Research Track

About VinAI Residency Program

Launched in 2019, VinAI’s AI Residency Program has become a renowned training ground for the great minds in AI.

Residents have the unique opportunity to contribute to every aspect of a research project, starting from idea inception, methodology formulation and exploration, experiment design and implementation, result interpretation, and eventually towards reporting and presenting at top-tier AI conferences.

**To date, the program boasts an impressive track record:**

  • 110+ AI talents trained, contributing to a growing network of global AI experts.
  • 80+ papers accepted and published at Top-tier conferences such as CVPR, NeurIPS, AAAI, ICML, ICLR, EMNLP, NAACL.
  • 56 of our alumni have gone on to become PhD candidates across the world’s top Computer Science and AI departments and universities.

Requirements

  • Current penultimate or final year students, recent CS program graduates from a University in Vietnam or abroad and individuals with a recent and relevant Master’s degree seeking a PhD scholarship
  • A minimum GPA of 3.2/4.0 or 8.0/10
  • A motivated individual with a great interest in research
  • Good mathematics or coding skills
  • Intermediate English learners

Benefits

  • Access to world-class mentorship
  • Benefit from a rich set of courses in Machine Learning, Maths, Computer Vision and Robotics, Natural Language Processing and Speech, English, etc
  • Connect with globally recognized AI Research Scientists & Engineers
  • Benefit from a competitive compensation package

Engineer Track

VinAI Residency Program Batch 13 Now Open

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Engineer Track

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01/06/2024

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VinAI Residency Program Batch 12: Call f...

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24/05/2024

ALUMNI
NETWORK

Chuong Huynh

Applied Scientist Intern, Amazon
PhD student, University of Maryland, College Park, USA

Hoang Phan

Applied Scientist Intern
Amazon PhD student, New York University, USA

Dang Nguyen

Research Intern, Adobe Research
PhD student, University of Maryland, College Park, USA

Duong Le

Predoctoral Researcher, Allen Institute for AI
VinAI Resident, Batch 4, Computer Vision Group

Anh Nguyen

PhD student, Carnegie Mellon University, USA

Khai Nguyen

PhD student, University of Texas at Austin, USA

Tung Nguyen

PhD student, University of California, Los Angeles, USA

Anh Do

PhD student, Johns Hopkins University, USA

Duong Le

PhD student, Georgia Institute of Technology, USA

Manh Luong

PhD student, Monash University, Australia

Khiem Pham

PhD student, Cornell University, USA

Tuan Pham

PhD student, University of California Irvine, USA

Thao Nguyen

PhD student, University of Wisconsin-Madison, USA

Khang Le

PhD student, University of Texas at Austin, USA

Ha Bui

PhD student, Johns Hopkins University, USA

Trung Nguyen

PhD student, University of Texas at Austin, USA

Quynh Phung

PhD student, University of Maryland, College Park, USA

Hieu Tran

PhD student, University of Massachusetts Amherst, USA

Thang Duong

PhD student, University of Arizona, USA

Nguyen Nguyen

PhD student, University of Rochester, USA

Hieu Vu

PhD student, The University of Iowa, USA

Trung Phung

PhD student, Johns Hopkins University, USA

Tan Dinh

Research Engineer, VinAI, Vietnam

Long Vuong

PhD student, Monash University, Australia

Hoang Nguyen

PhD student, Georgia Institute of Technolog, USA

Nghia Ngo

PhD student, University of Oregon, USA

Quynh Le

Master student, University of California San Diego, USA

Huy Nguyen

PhD student, The University of Texas at Austin, USA

Son Nguyen

PhD student, The University of Texas at Austin, USA

Duy Nguyen

PhD student, Nanyang Technological University, Singapore

Nhat Ho

PhD student, Mohamed bin Zayed University of Artificial Intelligence, UAE

Thong Nguyen

PhD student, National University of Singapore, Singapore

Vinh Tong

PhD student, University of Stuttgart, Germany

Long Doan

PhD student, George Mason University, USA

Thanh Nguyen

VinAI Resident, Batch 3, Computer Vision Group

Duy Phung

Research Engineer, VinAI, Vietnam

Phong Tran

PhD student, Mohamed bin Zayed University of Artificial Intelligence, UAE

Srinjay Sarkar

VinAI Resident, Batch 4, Computer Vision Group

Tan Nguyen

VinAI Resident, Batch 4, Computer Vision Group

Khoi Nguyen

PhD student, University of Wisconsin - Madison, USA

Mai Dao

University of Edinburgh, Scotland

Quan Dao

Rutgers University, USA

Tran Huynh

Virginia Tech, USA

Hieu Man

University of Oregon, USA

Tuan Ngo

University of Massachusetts Amherst, USA

Thuan Nguyen

Mohamed bin Zayed University of Artificial Intelligence, UAE

Anh Nguyen

University of Illinois Chicago, USA

Hue Nguyen

York University, Canada

Nhung Nguyen

Dang Nguyen

University of California, Los Angeles, USA

Chien Nguyen

University of Oregon, USA

Dang Pham

University of Wisconsin–Madison, USA

Chau Pham

SUNY Buffalo, USA

Thinh Pham

Virginia Tech, USA

Hao Phung

Cornell University, USA

Nguyen Tran

University of Massachusetts Amherst, USA

Ngoc Tran

Vanderbilt University, USA

Faqs
  • What documents do I need to prepare in order to apply?

    Ready to apply? Here’s what you’ll need to submit:
    1. CV/Resume (Required)
    2. Transcript(s) (Required)
    3. Letter of Recommendation (Optional)
    We accept online & provisional transcripts during interviews. Only qualified candidates will be invited for interview sessions.
  • Can I participate in the Residency Program remotely?

    In principle, residents are required to work on-site at VinAI offices in Hanoi or Ho Chi Minh City throughout the program. Nevertheless, all exceptional cases are considered and must be approved.

  • Is there a fee associated with this program?

    There are absolutely no fees to participate in the program! Selected candidates will receive a competitive salary and relocation package.

  • Have more questions?

    We’re happy to answer any further questions you may have! Feel free to send an email to ai-residency@vinai.io. Please note: We cannot assist with resume writing or recommend specific courses/experiences.
    We encourage you to review the program description and apply if you meet the basic requirements. We look forward to hearing from you!