Research Track

Research Track

Since 2019, the AI Residency Program (Research-based) has trained 87 brilliant young talents and had 101 papers accepted and published at Top-tier conferences such as CVPR, NeurIPS, AAAI, ICML, ICLR, EMNLP, NAACL. The program also records 95 Ph.D. scholarships across the world’s top 20 Computer Science universities.

Throughout the two-year program, residents have the opportunity to contribute to every aspect of a research project: from idea inception; methodology formulation and exploration; experiment design and implementation; result interpretation; to reporting and presentation at top-tier AI conferences.

Benefits

  • Up to $20.000/year training package.
  • 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.

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.

Engineer Track

Engineering Track

AI Residency Program: Engineering Track is a 6-month training program designed for fresh graduates. Upon successful completion, the residents will be eligible to join the AI engineering and product team at VinAI. The program covers theoretical AI knowledge, hands-on coding skills with practical experience of working on real projects.

Residents are exposed to intensive courses in machine learning, computer vision and natural language processing, led by seasoned engineers and researchers, and provided with direct mentorship from a VinAI Applied Team member.

The program ensures all residents acquire a marketable skill set by offering them three months of product applications and three months of real-world projects.

Benefits

  • Competitive compensation (up to $20.000/year for training package).
  • Gain industry-relevant AI knowledge.
  • Connect with top minds from VinAI.
  • Opportunity to publish research outputs at top-tier AI venues.
  • Gain hands-on experience with products, especially from Vingroup ecosystem and world-class projects.
  • Involved in 1:1 mentorship with world-class researchers.

Requirements

This program is temporarily closed until further notice.

Engineer Track

Engineering Track

AI Residency Program: Engineering Track is a 6-month training program designed for fresh graduates. Upon successful completion, the residents will be eligible to join the AI engineering and product team at VinAI. The program covers theoretical AI knowledge, hands-on coding skills with practical experience of working on real projects.

Residents are exposed to intensive courses in machine learning, computer vision and natural language processing, led by seasoned engineers and researchers, and provided with direct mentorship from a VinAI Applied Team member.

The program ensures all residents acquire a marketable skill set by offering them three months of product applications and three months of real-world projects.

Achievements blog

VinAI Demonstrates Excellence with ISO 9...

VinAI proudly announced its successful attainment of ISO 9001:2015 certification for its Quality Man(...)

View details

24/07/2023

Achievements blog

VinAI Secures Two Landmark US Patents, R...

VinAI, a division of Vingroup, has recently achieved a significant milestone by being granted its fi(...)

View details

20/07/2023

Achievements blog

Welcome onboard Residents Batch 9!

February 2023, after a stringent hiring process consisting of CV Application & Screening, Online(...)

View details

22/02/2023

ALUMNI
NETWORK

Khai Nguyen

PhD student
University of Texas at Austin
USA

Chuong Huynh

PhD student
University of Maryland, College Park
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

Anh Nguyen

PhD student
Carnegie Mellon University
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 Technology
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

Hieu Cao

PhD student
Trinity College Dublin
Ireland

Duy Phung

Research Engineer
VinAI
Vietnam

Phong Tran

PhD student
Mohamed bin Zayed University of Artificial Intelligence
UAE

Faqs