Research Assistant Position in Computer Vision and Deep Learning
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Job Description
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Unit
Institute of Information Science
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JobTitle
Research Assistant Position in Computer Vision and Deep Learning
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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).
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. -
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.
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Unit
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Working Environment
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Operating Hours
Mon.-Fri. 8:30-17:30
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Work Place
Institute of Information Science, Academia Sinica
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Treatment
Salary:bachelor 38,388-50,076, master 44,968-56,752
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Operating Hours
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Acceptance Method
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Contacts
Chien-Yao Wang
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Contact Address
128 Section 2, Academia Road, Nankang, Taipei 115201, Taiwan(Institute of Information Science)
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Contact Telephone
(02)2788-3799#1801
- Email kinyiu@iis.sinica.edu.tw
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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.
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Precautions for application
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Contacts
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Date
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Publication Date
2025-03-01
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Expiration Date
2025-10-31
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Publication Date