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Tuesday, 10 March 2026 14:17

National Yunlin University of Science and Technology, Graduate Institute of Intelligent Data Science – Recruitment Notice: Non-Tenured Full-Time Teaching Faculty

National Yunlin University of Science and Technology (YunTech) – Graduate Institute of Intelligent Data Science
Recruitment Notice: Non-Tenured Full-Time Teaching Faculty

Download: Relevant application guidelines are available in the [Institute’s Website – Faculty/Download Section].


1. Position

  • Title: Non-Tenured Full-Time Teaching Faculty

  • Number of Openings: 1

2. Qualifications and Academic Expertise

  • Required Qualifications: Ph.D. degree or possession of an Assistant Professor (or higher) certificate.

  • Academic Expertise:

    1. Artificial Intelligence and Data Science

    2. Electrical and Computer Engineering or related fields

3. Additional Requirements

  1. Proficiency in teaching courses entirely in English.

  2. At least one year of practical industry experience in the relevant teaching field. (Applicants must provide proof of work experience; full-time certified teachers employed prior to the implementation of the Technological and Vocational Education Act are exempt.)

  3. Required Documents (please submit in the order listed):
    a. YunTech Faculty Application Form (including CV and personal statement; downloadable from the University Personnel Office).
    b. Copies of Bachelor’s, Master’s, and Ph.D. diplomas, transcripts, work experience certificates, and identification.
    c. For degrees earned abroad: verification by Taiwanese overseas offices and application to the National Immigration Agency for entry/exit record issuance.
    d. Proof of industry experience according to the University’s “Guidelines for Recognizing Faculty Industry Experience.”
    e. List of published research papers or patents.
    f. 2–3 representative publications.
    g. Brief description of teachable courses and course outlines (including required and elective courses).
    h. Proposed future research directions.
    i. Recommendation letters.
    j. Any additional documents that demonstrate relevant skills or experience (e.g., participation in research projects or industry-academia collaborations).

4. Eligibility

  1. Must not be disqualified from holding a teaching position under Article 14, Paragraph 1 of the Teachers Act or Articles 31 and 33 of the Regulations on the Appointment of Educational Personnel.

  2. Candidates hired under the “University Appointment of Professional and Technical Personnel for Teaching” or holding an Assistant Professor (or higher) certificate may be exempt from the Ph.D. requirement.

5. Application Procedure

  1. Application Period: From now until April 6, 2026 (Monday). Postal applications are considered based on postmark; email submissions are considered based on the sending date. All submitted documents will not be returned, regardless of preliminary review results.

  2. Submission Methods:

6. Interview

Candidates passing the preliminary review will be notified via phone and email regarding the interview schedule.

  • Interview Date: April 17, 2026 (Friday)

 

※The above is an AI-generated translation and may not be 100% accurate. For reference only — please double-check any important details.

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