Detailed information
Work location : Kanto district - Tokyo | Kanto district - Kanagawa
Date of publication : 2025/08/14
Research Assistant Professor (fixed-term appointment)
D125080956
Tokyo City University
Research field : Manufacturing Technology - Control and system engineering | Social Infrastructure - Safety engineering | Social Infrastructure - Architectural environment and building equipment
Assistant Professor level : Regular employee - Nontenured - Non-tenure track - Probationary period absent
Job description
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Background of the recruitment and description of the project
Tokyo City University is looking for an outstanding researcher to work with one of the following four professors (research advisors) in their laboratory. Regarding the details of their project, refer to the messages in the "Notes" section.
1) Hom Bahadur Rijal,
Professor, Faculty of Environmental Studies, Department of Restoration Ecology and Built Environment
Email: rijal@tcu.ac.jp
Research Areas
- Adaptive thermal comfort / Occupant behaviour / Thermal environment / Energy saving
Research Interests
- Architectural & urban environment
https://researchmap.jp/read0066353?lang=en
2) Hidehiko Sekiya,
Professor, Faculty of Architecture and Urban Design, Department of Urban and Civil Engineering
Email: hsekiya@tcu.ac.jp
Research Areas
- Social infrastructure / Structural and seismic engineering / Infrastructure Sensing, Maintenance Engineering, Structural Monitoring, Fatigue
Research Interests
- Infrastructure Sensing / Maintenance Engineering / Structural Monitoring / Structural Engineering / Steel Structure / Bridge Engineering
https://researchmap.jp/hidehiko-sekiya?lang=en
3) Kazuma Sekiguchi,
Professor, Faculty of Science and Engineering, Department of Mechanical Systems Engineering
Email: ksekiguc@tcu.ac.jp
Research Areas
- Mechanical engineering
- Control and systems engineering
https://researchmap.jp/kmhas?lang=en
4) Kenichiro Nonaka,
Professor, Faculty of Science and Engineering, Department of Mechanical Systems Engineering
Email: knonaka@tcu.ac.jp
Research Areas
- Control Theory / Self-driving Systems
Research Interests
- Model Predictive Control / Vehicle Control / Obstacle Avoidance / Optimization / Mobile Robot / Object Tracking
https://researchmap.jp/read0211872 -
Work content and job description
Under the supervision of the above faculty, you have to make publications in high-level international journals and presentations at international conferences, and have to support postgraduate and undergraduate students for their research projects.
From the second year, at least two peer-reviewed research papers are required to be published in journals indexed in Scopus satisfying IF > 1.0 and CiteSocre > 1.0 per year.
Two million Japanese yen of research funds every year will be provided to support your cutting-edge research. A bi-monthly research report approved by a research advisor should be submitted.
Since this is a research-oriented position, you do not need to be in charge of classes. -
Assigned department
Existing departments
Advanced Research Laboratories (ARL)
Job type
- Assistant Professor level
Research field
- Manufacturing Technology - Control and system engineering
- Social Infrastructure - Safety engineering
- Social Infrastructure - Architectural environment and building equipment
Wages
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Annual Salary : 5 million yen ~
A salary is in accordance with Gotoh Educational Corporation employment regulations.
* The salary is expected to be JPY5,000,000 per year for 30 years old.
Working hours
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Working hours :09:00-18:00
Holidays : Sundays, public holidays, year-end and New Year holidays, and other days determined by Tokyo City University. (excluding days the university has designated as working days)
Overtime and other explanations : Working hours: 40 hours (5 days) / week.
Application requirements
Qualifications
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Education and Degree Requirements
Ph.D. / Doctor
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Work experience
1. An applicant must hold a Ph.D. or equivalent in a science and technology field when the employment starts.
2. An applicant is required
1) to have pioneering and internationally notable research achievements to qualify as a postgraduate student advisor.
2) to have native or near-native English competency to play an active role in a research community.
3) to be enthusiastic about the supervision of students in the laboratory.
4) to understand and work together on the research advisor's research theme.
3. Research Assistant Professor is a full-time faculty position dedicated to research activities. An applicant must specify a research advisor responsible for the activities.
Employment Type
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Regular employee
Contract period
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Nontenured - Non-tenure track
Fixed-term appointments will be for up to three years.
Reappointment is possible to extend further two years by annual renewal.Probationary period absent
Work location
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158-8557
Tokyo
1-28-1, Tamazutsumi, Setagaya
Tokyo City University
Setagaya campus
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224-8551
Kanagawa
3-3-1, Ushikubo-nishi, Tsuzuki, Yokohama, Kanagawa
Tokyo City University
Yokohama-Campus
Compensation
Application Considerations
Number of hired
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Job content supplemental explanation
The proposed start date is February 1st, 2026, or the earliest possible date thereafter.
(On October 11th, the application deadline was changed to November 5th, and the start date for employment was changed to after February 1st, 2026.)
1 person(s)
Hiring date : 2026/02/01
Starting date : 2026/02/01
Application period
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2025/08/14~2025/11/05 Deadline for receipt
The application will be closed when the position is filled.
(On October 11th, the application deadline was changed to November 5th, and the start date for employment was changed to after February 1st, 2026.)
Application method
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Application documents (specified forms)
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Attached documents
Application Form : Online SubmissionAchievements and Activities : Online SubmissionOther online application forms
1. Curriculum vitae, including a photo, professional and educational history (from high school onward), degrees, awards, and e-mail address. We recommend that your CV also include your Scopus author ID, ORCID, and/or Google Scholar URL.
2. Accomplishment statements for each of the following categories:
(a) Refereed journal papers
(b) Refereed conference papers
(c) Invited conference presentations
(d) Books
(e) Patents
* For journal papers, indicate the Impact factor and the number of citations for the top three articles, along with the name of the database used (Scopus or Google Scholar Citations).
3. PDF of up to three significant publications within the past five years
4. Acquired research grants and external funds, categorized appropriately with the fund's name, project title, period, total amount, role (principal or co-investigator), and allocated amounts (if not the principal researcher).
5. A summary of research accomplishments and future direction/plan (1 page).
* The summary of research accomplishments should be stated concerning the accomplishment statements (item 2 above). The future research direction/plan should be stated concerning the corresponding research area's world research trend. Possible collaboration with a research advisor should be stated here.
6. Social activities such as those as a member of international and academic committees
7. Three references with names, affiliations, and contact details, including e-mail.
* Convert the required documents 1 through 7 into PDF files, combine them into one "zip" file, and upload the zip file to JREC-IN. -
Return of application documents
Others
The personal information provided in the submitted documents will be used solely for recruitment and not for any other purpose, according to the University's applicable rules and regulations. Tokyo City University guarantees equal opportunities for all individuals regardless of nationality and gender in order to ensure a diverse workforce.
URL of this job posting
Selection / Notification of result
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Selection
Selection will be based on a comprehensive review of applications and interviews.
Selected applicants will be asked to have an on-campus or online interview and/or give a presentation.
Travel costs will not be paid in the selection process. -
Notification of result
We will contact you by email within a month after the interview.
Contact details
Tokyo City University
Advanced Research Laboratories (ARL)
Kenichiro Nonaka
81357070104
knonaka(at)tcu.ac.jp
* Please change (at) to @ and send it.
Interested applicants should contact the research advisor listed before applying.
The subject of the e-mail should be "Application for Research Assistant Professor of ARL."
For general application questions, please ask Professor Kenichiro Nonaka,
Director of the Advanced Research Laboratories, Tokyo City University.
E-mail: knonaka@tcu.ac.jp
Notes
Message from research advisors:
1) Hom Bahadur Rijal
Our laboratory focuses on field studies related to the thermal environment, adaptive thermal comfort, occupant behavior, and energy efficiency. We maintain large datasets on residential and office buildings, which the appointed lecturer will be expected to analyze for academic publication. The lecturer will also be responsible for supervising and mentoring doctoral students.
2) Hidehiko Sekiya
The mission is to contribute to the realization of a sustainable society by addressing challenges in the maintenance of aging infrastructure and the advancement of construction practices through world-leading, cutting-edge research that integrates civil engineering and data science.
3) Kazuma Sekiguchi
Potential research theme: Promote research topics related to the fusion of advanced model-based control and data-driven control. Both the theoretical development and experimental verification are scoped.
- Combining model-based control technologies such as nonlinear control and model predictive control based on differential geometry with advanced data-based methods such as modeling using neural networks and the Koopman approach and FRIT
- Theoretical and experimental verification using drones and electric wheelchairs. As the experimental system, vehicles communicate with Python, C++, and MATLAB via ROS2. A motion capture system is also applicable for theoretical verifications.
4) Kenichiro Nonaka
My research group primarily focuses on developing novel algorithms of model predictive control (MPC) for both linear and nonlinear systems and applying them to vehicle control, including self-driving cars, drones, and wheelchairs. Active scholars who are enthusiastic about building new MPC theory, conducting its application to vehicles, or willing to work on both are welcome.
