AI Residency

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who we are

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FPT Software AI Residency

FPT Software AI Residency is a two-year training program to incubate and develop young talent in artificial intelligence research and machine learning. In this program, participants are trained under the guidance of world-class mentors and scientists from all over the world, and practiced in a modern and creative environment. The partnership between FPT and Mila - a top world research institute in artificial intelligence will offer residents a world-class training environment as well as make a turning point in their career.
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OUR PARTNER - MILA INSTITUTE

Founded in 1993 by Professor Yoshua Bengio of the Université de Montréal, Mila is a research institute in artificial intelligence which rallies 500 researchers specializing in the field of machine learning. Based in Montreal, Mila’s mission is to be a global pole for scientific advances that inspires innovation and the development of AI for the benefit of all. MILA is recognized globally for its significant contributions to the field of machine learning, Mila has distinguished itself in the areas of language modeling, machine translation, object recognition and generative models.

FPT Software AI Residency - Batch 2 Is Now Closed

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HOW TO BECOME
PART OF OUR TEAM

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Round 1

Application form
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Round 2

Test & Interview

CompleteD

WORK WITH OUR
WORLD-CLASS SCIENTISTS

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M.S. Phong Nguyen

AI Researcher at Mila

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M.S Phong Nguyen

Mr. Phong is currently a Visiting Researcher at the Mila Institute of Artificial Intelligence in Quebec under the direction of Professor Yoshua Bengio. He had 7 years of experience working as an Artificial Intelligence researcher for Hitachi, based in Tokyo, Japan.

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Dr. Dianbo Liu

Machine learning researcher at Mila

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Dr. Dianbo Liu

Professor Dianbo Liu is an excellent researcher in the field of human health whose interests include but not limited to medical records, social network data, block chain and so on. He is now working as a machine learning researcher, a postdoctoral researcher in Prof. Yoshua Bengio group. He works on both fundamental machine learning research and applied projects.

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Dr. Long Tran-Thanh

Associate Professor in Computer Science at the University of Warwick

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Dr. Long Tran-Thanh

Mr. Long Tran-Thanh is an Associate Professor in Computer Science at the University of Warwick, UK. Mr. Long has been doing active research in a number of key areas of Artificial Intelligence and multi-agent systems. He has published more than 70 papers at top-tier AI conferences (AAAI, AAMAS, ECAI, IJCAI, NeurIPS, UAI).

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Dr. Khuong Nguyen

Research Data Scientist at Rakuten Inc.

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Dr. Khuong Nguyen

Mr. Khuong is a Research Data Scientist at Rakuten Institute of Technology, Rakuten Inc. He had more than 10 years working in AI field, mainly focused on research & development of Advanced AI Algorithms and Big Data. He obtained B.Sc & M.Sc from University of Engineering and Technology, Vietnam and PhD & Postdoc in Computer Science from Japan Advanced Institute of Science and Technology.

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Dr. Thieu Vo

Data scientist at FPT Software

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Dr. Thieu Vo

Mr. Thieu is working as a Data Scientist at FPT Software. He is also a lecturer and researcher of Maths and Statistics at Ton Duc Thang University. He has over 20 journal articles so far and achieved so many noble awards such as R&D Project of the Year or Marshall Plan Scholarship for Johannes Kepler University's students.

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Dr. Tung Hoang

Research Scientist at Deakin University

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Dr. Tung Hoang

Mr. Tung graduated Deakin University with the Ph.D degree in Computer Science. He worked closely with Mr. Truyen Tran and published many papers at world-class conference like ICML, ICLR or NeurIPS.

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Dr. Dung Le

Senior Data Scientist at Grab Holdings Inc.

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Dr. Dung Le

Mr. Dung is a former research scientist in School of Information Systems, Singapore Management University (SMU). He earned his PhD in Data Science and Engineering from the same university, working with Associate Professor Hady W.Lauw. In his candidate, he has been recognized with SMU Presidential Doctoral Fellowship Award (AY2018 and AY2019) and SMU PhD Student Life Award (AY2018 and AY2019).

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Dr. Hieu Thai

AI Engineer at FPT Software

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Dr. Hieu Thai

Mr. Hieu is an AI Engineer at FPT Software. He graduated Wayne State University with the Ph.D degree in Mathematics - Algebraic Topology.

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Dr. Quan Hoang

Research Scientist at FPT Software

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Dr. Quan Hoang

Mr. Quan has experience in both applied and fundamental sides of Deep Learning research. In addition to applied research, Quan's fundamental research interests include Deep Generative Models and Representation Learning. Quan's PhD thesis focuses on developing an information-theoretic framework for representation learning based on the rate-distortion theory.

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Dr. Trieu Anh Nguyen

Audio Researcher at FPT Software

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Dr. Trieu Anh Nguyen

Mr. Trieu Anh is currently an audio researcher at FPT Software. Before joining FPT, he worked as a research assistant at Nanyang Technological University (NTU). His current research interests are acoustic signal processing, array signal processing, blind source separation, and speech enhancement.

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Dr. Tan Nguyen

Postdoctoral scholar at University of California

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Dr. Tan Nguyen

Mr. Tan has obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr. Richard G. Baraniuk. His research is focused on the intersection of Deep Learning, Probabilistic Modeling, Optimization, and ODEs/PDEs.

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Dr. Nghi Bui

Research Scientist at Huawei Research, Ireland

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Dr. Nghi Bui

Mr. Nghi earned a Ph.D. in Computer Science from Singapore Management University. He conducts research in the areas of software analytics, AI4Code, and deep learning. He was awarded the Presidential Doctoral Fellowship (2020) and was named to the Dean List (2020) for his outstanding research achievements throughout his PhD. He is the first author on a number of publications in top-tier academic conferences, including ICSE, FSE, AAAI, and SIGIR.

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M.S. Tuan Nguyen

Data Scientist at FPT Software

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M.S. Tuan Nguyen

Mr. Tuan has obtained his MSc in Machine Learning from the University of Bristol. His work is focused on both theory and application of Deep Learning, including computer vision, natural language processing, graph structure, and generative model.

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Contact AI Residency Program at
[email protected]

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