Assistant Professor (Tenure Track) in Intelligent Design Engineering
Join Okayama University’s Faculty of Environmental Life and Natural Sciences to lead research and education in AI, data science, and intelligent systems.
Best for:Best for established researchers with a PhD in computer science, data science, AI, or related fields, seeking a tenure-track position with a focus on teaching and cutting-edge research in intelligent systems and data engineering.
Overview
This tenure-track Assistant Professor position at Okayama University’s Faculty of Environmental Life and Natural Sciences focuses on advancing research and education in intelligent design engineering, particularly in AI, machine learning, data mining, and web information systems. The successful candidate will contribute to both graduate and undergraduate teaching, mentor students in advanced research, and collaborate on interdisciplinary projects. The role emphasizes excellence in research, international collaboration, and societal impact, with a strong emphasis on data-driven innovation and educational leadership. Applicants must demonstrate a PhD in a relevant field and a proven track record in research and teaching.
What you'll do
- Provide research guidance and mentorship to graduate students in the Master’s and PhD programs in Mathematical Information Science and Advanced Science and Engineering.
- Teach undergraduate courses in Information Engineering, including labs, seminars, and thesis supervision.
- Support organizational operations and administrative tasks within Okayama University.
- Conduct and publish high-impact research in AI, data science, and related fields.
- Engage in international collaboration and industry partnerships to advance research and societal applications.
- Develop and implement innovative educational programs and curricula.
- Participate in university governance and contribute to institutional development.
Requirements
Degree required: Doctoral degree (PhD) in Computer Science, Information Engineering, Data Science, or a related field, or expected to obtain it.
Language: Japanese and English; proficiency required for lectures, research supervision, and international education.
Instruction: Japanese and English
Publications: Demonstrated record of outstanding research achievements in the field.
- Proven research expertise in AI, machine learning, data mining, or related fields.
- Strong teaching experience and ability to mentor students at both graduate and undergraduate levels.
- Proficiency in Japanese and English for delivering lectures, research supervision, and international education.
- Experience in interdisciplinary research and collaboration with industry or academic partners.
- Ability to develop and publish high-quality research in top-tier venues.
- Must hold or be expected to obtain a doctoral degree.
- No specific nationality restrictions mentioned, but Japanese and English proficiency are mandatory.
- No age or residency restrictions explicitly mentioned.
Funding & terms
How to apply
Deadline: 2026-10-26
Submit the required application documents via email to ohta@okayama-u.ac.jp. The documents include a curriculum vitae, activity records in academic and social fields, educational experience, research achievements summary, research achievements list, and a reference contact form. Ensure the email subject line reads: 'Application for Assistant Professor Position in Computer Science (Intelligent Design Engineering).'
- Curriculum Vitae (Form 1)
- Activity records in academic and social fields (Form 2)
- Educational experience (Form 3)
- Research achievements summary (Form 4)
- Research achievements list (Form 5)
- Reference contact form (Form 6)
- Up to 5 copies of publications, books, or reprints
Contact
Ohta Manabu· Department of Computer Science, Intelligent Design Engineering Field
0862518174
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