[Work
Location] Chang Gung University Artificial Intelligence Research Center
[Detailed
Description]
1.
Compensation:
For general expertise, Bachelor's/Master's
degree full-time research assistants will receive $36,300/month in the first
year; $41,500/month for the second year.
2.
Qualifications:
(1) Bachelor's/Master's degree in a relevant
field from a domestic or international university. Candidates with one of the
following research expertise will be given priority consideration:
•
Development and management of large-scale machine learning or deep learning
systems
•
Research on artificial intelligence (machine learning, deep learning, data
science, etc.) algorithms
•
Research experience in computer vision and image processing
•
Smart healthcare, natural language processing and applications
(2) Responsible, proactive, and with
excellent communication skills
3.
Job Responsibilities
(1) Implement the National Science and
Technology Accounting Plan to train a large language model for medical imaging.
(2) Researching machine learning models and
developing practical applications
(3) Reading and writing scientific research
papers
(4) Writing research plans
(5) Other tasks assigned by the supervisor
【Application Method】
•
Please attach your resume (including contact phone number and email address),
autobiography, copies of academic certificates, and other relevant experience
projects that are conducive to demonstrating research capabilities.
•
Interested candidates should combine the above application materials into a PDF
file and mail it to bettysu@cgu.edu.tw (Contact Person: Ms. Su). Please fill in
the subject line of your application as "Application for Full-time
Assistant Position in Accounting (Master's/Bachelor's Degree) at the Artificial
Intelligence Research Center, Chang Gung University - Applicant's Name".
•
Qualified candidates will be notified of an interview at a later date.
Unsuccessful applicants will not be notified and their applications will not be
returned.
•
Successful applicants will have a three-month probationary period.