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Data number
Date of publication
Date of update
Designated Associate Professor/Lecturer/Assistant Professor or postdoctoral fellow in Kawajiri group: CO2 capture process modeling, numerical analysis and optimization, and economic evaluation
Nagoya University
URL of institution or department
Research Center for Net Zero Carbon Society
Institution type
National university
Content of job information

--Description of the institution

The successful candidate will work on an collaborative project with industry and other academic institutions.

--Job description

The successful candidate will work on a collaborative project on modeling, numerical optimization, and economic evaluation of CO2 adsorptive separation process.

--Address of work location

Higashiyama Campus, Nagoya University

--Available positions

A Designated Associate Professor, Designated Lecturer, Designated Assistant Professor, or Postdoctoral Fellow. Preferences from candidates will be considered.

--Starting date

After 11/1/2022.

--Other notes
Our research group are developing CO2 adsorptive capture processes. This project is a collaboration with industry as well as academic collaborators including one outside Japan. The candidate will work process modeling, numerical simulation and optimization, and economic analysis with our graduate students and other faculty members who are currently members of our group, as well as those outside Nagoya University.

We are relatively new research group launched in 2017. Some of our particular research foci are data science, chemical engineering, statistics, and process systems engineering, in particular for applications in CO2 adsorbents and adsorptive capture processes. We are looking for a candidate who has experience in any of these areas, or is interested in any of these topics. The leader of our group was previously a PI in a university in the United States, and we have many international collaborators. Feel free to send any questions to us.

Research field
Process/ Chemical engineering
Integrated engineering
All Informatics
Job type
Assistant Professor level
Associate Professor/Lecturer (full-time) level
Researcher/Postdoc level
Employment status
one-year contract with possible renewal
Work location
Tokai district - Aichi 


Experience in any of the following fields:

(1) Chemical engineering or process engineering
(2) Numerical simulation and optimization
(3) Any related field to (1) or (2)


--Treatment after recruitment:

Title: Designated Associate Professor, Designated Lecturer, Designated Assistant Professor, or Postdoctoral Fellow
Salary: Based on annual salary schedule at Nagoya University

Application period
2022/08/31 Deadline for receipt
/notification of result
/contact details

--Application documents, application (submission) method

The following materials should be submitted through the Web Application form on JREC-IN. Applications by email will not be accepted.

1. CV of your own format. Please list the names of academic societies that you are a member of.
2. List of academic achievements, classifying them into journal articles, reviews, proceedings, and others.
3. Summary of your research achievements. Approximately 1 page of A4 sized paper.
4. Names and addresses of two references

--Selection details

Applicants will be screened for interviews by the applications materials, which will be notified to the interviews. The results of the interviews will also be notified.

--Result notification method

Application materials will not be returned. The applicants will be notified as described above. This call for applications may be closed earlier once a successful candidate is found.

--Contact information

Yoshiaki Kawajiri, Ph.D.
Research Center for Net Zero Carbon Society
Engineering Bldg. 1, Furo-cho 1, Chikusa, Nagoya 464-8603, Japan (only for questions but not for applications), +81-52-789-3263,

Online Submission
Online Submission with all application documents is available.
JREC-IN Portal web application
Email Application
Not available
Recruiting Institution's
Web application system
Not available

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