Associate Professor or Lecturer in Intelligent Robotics (Preferred: Associate Professor)
Join Akita University’s Faculty of Informatics and Data Science to advance research and education in intelligent robotics, including robot AI, physical AI, and human-robot collaboration.
Best for:Best for established researchers with a PhD in robotics, AI, or related fields, strong teaching experience, and expertise in robot AI, physical AI, or human-robot interaction.
Overview
Akita University is seeking an Associate Professor or Lecturer (with preference for Associate Professor) in the field of intelligent robotics. This position focuses on advancing research and education in robot AI, physical AI, autonomous navigation, sensor fusion, motion planning, and human-robot collaboration. The successful candidate will contribute to teaching and research in the Department of Informatics and Data Science, shaping the next generation of robotics experts while conducting cutting-edge research in the specified areas. The role emphasizes both academic excellence and the ability to engage with students, faculty, and stakeholders in a collaborative environment.
What you'll do
- Conduct research and publish in the field of intelligent robotics, including robot AI, physical AI, autonomous navigation, sensor fusion, motion planning, and human-robot collaboration.
- Teach undergraduate and graduate courses such as Intelligent Robotics, Computer Control Engineering, Robot Kinematics, Robot Dynamics, and Practical DX Projects.
- Develop and implement educational curricula aligned with the university’s mission and the evolving needs of the field.
- Engage in collaborative research projects and contribute to the advancement of robotics technology.
- Participate in university administration and contribute to the overall management and development of the Department of Informatics and Data Science.
- Mentor students and foster a supportive academic environment for research and learning.
- Actively participate in academic conferences, workshops, and international collaborations.
Requirements
Degree required: Doctoral degree (PhD) in Robotics, Electrical Engineering, Computer Science, or a related field.
Language: Japanese proficiency sufficient for research, education, and administrative tasks; English proficiency required for teaching and international collaboration.
Instruction: Japanese (with English for international courses or collaborations)
Publications: Substantial research publications in peer-reviewed journals and conferences, demonstrating expertise in intelligent robotics.
- Proven research experience and academic achievements in intelligent robotics, robot AI, or related fields.
- Strong teaching skills and experience in higher education, including the ability to deliver lectures in English.
- Ability to communicate effectively with students, faculty, and stakeholders in both Japanese and English.
- Experience in developing and managing research projects, including securing external funding.
- Proficiency in conducting research and publishing in international journals and conferences.
- Experience in mentoring students and fostering academic collaboration.
- Open to applicants of all nationalities.
- No specific age limit, but relevant experience and qualifications are required.
- No prior experience caps, but emphasis on research and teaching excellence.
Funding & terms
How to apply
Deadline: 2026-10-30
Applicants must submit their application materials via mail. Required documents include a detailed CV, academic transcripts, a list of publications, reprints of key papers with summaries of contributions, a research plan, teaching philosophy, details of external funding secured, academic and social involvement, awards, and contact information for two referees. All materials must be sent by registered mail with a digital copy on a USB drive. Applications must be labeled '教員応募' (Faculty Application).
- CV (including academic and professional history, affiliations, awards, and photograph)
- Certified copies of degree certificates or diplomas
- List of research achievements (books, theses, peer-reviewed journal/conference papers, international conference reports, patents, etc.)
- Reprints of major papers (up to 5, copies acceptable) with summaries of academic contributions
- Summary of past research and future research plans (2 pages max)
- Summary of past teaching experience and future teaching philosophy (2 pages max)
- Details of external funding secured (e.g., research grants, collaborative projects)
- Academic and social involvement (e.g., committee memberships)
- Awards and honors received
- Contact information for two referees
- Applicant’s contact details (address, phone, email)
Contact
Atsuya Fujisawa· Department of Informatics and Data Science
+81-18-889-2268
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