We invite international students who are interested in project-based learning (PBL). The theme of PBL is on applications of Artificial Intelligence Techniques on Sustainable Development Goals (SDGs), Specifically on Gerontechnology, health caring, and Green Energy. Specifically, this project is to do researches on computer vision based on the modern deep learning (machine learning) techniques. In this research, you will learn deep learning techniques such as CNN, RNN, LSTM, AE, VAE, etc.

The possible applications and topics include:
(1) 3D human skeleton extraction, skeleton-based action recognition, action prediction for elderly monitoring,
(2) depth estimation from mono- binocular images,
(3) 3D object (vehicle, pedestrian, cyclist) detection and positioning from fusion of RGB/LiDAR sensor data,
(4) mapless robot navigation based on deep reinforce learning (DRL),
(5) object (head/vehicle/human/object) pose estimation from single RGB image,
(6) deep learning-based adverse drug reaction (ADR) or diseases prediction for biomedicine.

The intern student is expected to have some preliminary knowledge on NN (neural network) or deep learning and skilled in Python programming. He/She will learn how to apply state-of-the-art deep learning techniques to solve the indicated problems. For more detail about the topics, please visit the Youtube video at:

If you are interested in renewable or green energy, we will also introduce related professor to contact you. We especially welcome long-term internship (especially 4-6 months) who will use the internship results for their graduation projects. The scholarship will include flight fare (NTD5000-20000, depending on the countries), free on-campus accommodation, and weekly stipend (NTD1500/week). The above scholarship nearly covers 100% of the expenses to have internship in our university (CCU).

  • Field: Engineering
  • School: National Chung Cheng University
  • Organizer: Department of Electrical Engineering
  • Period of Apply: Jan. 1, 2023 ~ Dec. 31, 2023
  • Term: Jan. 1, 2023 ~ Dec. 31, 2023
  • Fee: none
  • Website of Program:
  • Contact Person:Chien Wang, Wen-Nung Lie
  • Phone:05-2720411 ext.23003; 33211