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Candidates should have backgrounds from any programs: such as computer science, computer engineering, electrical engineering, Mechatronics, biomedical engineering, Biology, Finance, etc. You have from first year students to final year, including internship projects, thesis positions. You will have a chance to work and collaborate with talent in and Excellent people in our companies. There also advanced to join our Machine Learning supervised and travel abroad for conference. Due to AI currently difficult tasks but also make you more opportunities.

3. Number of Candidates:

Not limited the numbers

4. Requirements

Fundamentals of programming and mathematics

C/C++ and/ Python are needs during the works defining but unnecessary to have master

Motivations are most important, you will meet the real challenges in many difficult tasks and motivate yourself expected to run long-time for hard projects you will need to keep running for a long time for project at least 6 months, we are also expected you keep in touch with long time working more than one years for tracking research projects and development products.

+ basic statistic machine learning is strong plus

+ Bayesian Inference and probabilistic graphical models are necessary

+ Familiar with several specific frameworks are acquired such as Caffe or Pytorch or Tensorflow, ntlk, NLPStanford,.

+ Understanding the evaluation methods in machine learning

+ Understanding Word Embedding, Word Embedding, Work2Vec, Parts-of-Speech Tagging, N-Gram, Language Model, Machine Translation, Attention, etc

+ intent in Natural language Understanding

+ GRU, RNN, LSTM, HMM, Optimization, attention and Regularization Problems

+ Deep Learning and Neural Networks such as Resnet, Alexnet, etc

+ CPU/GPU/TPU Computing and distributed and Parallel Computation

+ supervised learning, unsupervised learning, auto-machine learning, reinforcement learning, meta learning, multi-tasks learning, graph neural network, federated learning, etc

+ Natural Language Processing and Speech Processing

+ Time series and Regression/classification

+ Interested in Signal Processing, speech and language processing, sound separation and localization, parse, etc,

+ applied ml and nlp: chatbot, Question Answering, Logistic, FinTech, Trading, Banking, Legal, Knowledge base, automative, medical applications, self-driving cars, robotics, etc, food processing and quality, applied AI in planning and scheduling, transformation, smart city, smart manufacturing etc

5. Time

There are no limited the time during progress.

How to Apply?

Please send your CV directly to email:

+ International and National Olympic Awards or Any National Challenge are strong plus and welcome to apply

Note: We are also refer to work with long-term the thesis research situations of any students from any. Contact us by email if you need more information.

[HCM] [Hanoi] [DaNang] [Cantho] [BinhDuong] [DakLak] [WorkFromHome]