Research Assistant Position in Computer Vision and Deep Learning

Job Description

Institute of Information Science Research Assistant Position in Computer Vision and Deep Learning The selected candidate will engage in advanced research projects at the intersection of computer vision and deep learning, with a minimum commitment of eight months. This position is ideal for candidates planning to pursue academic careers or graduate studies abroad, offering valuable research experience and publication opportunities. Job Description Unit Institute of Information Science JobTitle Research Assistant Position in Computer Vision and Deep Learning Work Content Institute of Information Science at Academia Sinica, in collaboration with National Taiwan University, is seeking motivated Research Assistants to work on cutting-edge computer vision and deep learning projects. This position offers a unique opportunity to conduct research under the joint supervision of Prof. Chun-Yi Lee (NTU) and Dr. Chien-Yao Wang (Academia Sinica). Qualifications Candidates should hold a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related fields. Prior research experience and publications in top-tier conferences or journals are highly desirable. Strong programming skills and experience with deep learning frameworks are essential. We will prepare a paper reading and a code implementation task for verifying the qualification. Working Environment Operating Hours Mon.-Fri. 8:30-17:30 Work Place Institute of Information Science, Academia Sinica Treatment Salary：bachelor 38,388-50,076, master 44,968-56,752 Acceptance Method Contacts Chien-Yao Wang Contact Address 128 Section 2, Academia Road, Nankang, Taipei 115201, Taiwan(Institute of Information Science) Contact Telephone (02)2788-3799#1801 Email kinyiu@iis.sinica.edu.tw Required Documents Interested candidates should send their CV, research statement, and publication list to [kinyiu@iis.sinica.edu.tw]. Please include "Research Assistant Application - [Your Name]" in the subject line. Precautions for application Date Publication Date 2025-03-01 Expiration Date 2025-10-31 Show more Show less