1. Position:

Professor (one position)

2. Job description:

Development of materials and/or material systems toward novel properties and functions. Participation in managements of IMS which is an inter-university research institute*. Teaching and supervising graduate students as a professor of SOKENDAI (The Graduate University for Advanced Studies).

* https://www.ims.ac.jp/en/about/joint-approach.html

3. Conditions of employment:

Full-time, permanent. For details see this link
[https://www.ims.ac.jp/en/recruit/policy.html].

4. Expected start date:

On or at the earliest possible date after June 1st, 2023

5. Research resources:

(1) The successful candidate will be supported with lab space and start-up budget funded by the director general of IMS.
(2) The successful candidate is expected to serve as a principal investigator of a research group, which consists of one professor (this recruit), one assistant professor (to be recruited), and one secretary (shared).
(3) Further information is available via e-mail (ims-recruit2022@ims.ac.jp).

6. Deadline for application:

December 10th, 2022 (JST)

7. Documents for application:

The following documents (1) to (6) should be prepared in PDF format and then the documents (1) to (5) should be merged into one single PDF document. The merged PDF should be submitted as the attachment of email and the document (6) recommendation letter(s) should be submitted separately by recommender(s).
(1) Curriculum Vitae (Please download the format from the URL below.)
(2) Summary of research achievements (not more than 2 pages in total on A4 size paper).
(3) Future research plans (not more than 2 pages in total on A4 size paper).
(4) List of publications* and invited talks (About description method, refer to the URL below)
* Underline the title of the three most important publications.
(5) Reprints or preprints of maximum ten selected publications.
(6) Recommendation letter(s) (optional). 
 

For details (format, description method, etc.), see the following URL:
https://www.ims.ac.jp/en/recruit/teisyutu.html

8. Selection process:

Candidates will be selected under the advice of a personnel committee of the IMS. IMS may withhold selection if there is no suitable person for the position.

9. Compensation:

In accordance with the NINS employee compensation regulation.

10. Submission:

Application should be submitted by email to the Personnel section (ims-prof2022@orion.ac.jp). The subject of the email should be 'Application for Professor in the Department of Materials Molecular Science', and the main text should contain your name and 'Position: Professor in the Department of Materials Molecular Science' at the beginning. The above documents (1) to (6) should be prepared in PDF format and then the documents (1) to (5) should be merged into one single PDF document. The merged PDF should be submitted as the attachment of email and the documents (6) recommendation letter(s) should be submitted separately by recommender(s). If the data exceeds 20 MB, divide into multiple PDF files and send by separate emails. Notification of receipt will be sent within four working days. In case you do not receive a notification, please contact the Personnel section.

11. For further information (Including salary and other benefits):

Personnel section, Okazaki Administration Center, NINS
Nishigonaka 38, Myodaiji, Okazaki, Aichi 444-8585, JAPAN
E-mail: r7113@orion.ac.jp
https://www.ims.ac.jp/en/

12. Others:

(1) Gender equality
IMS complies with Equal Employment Opportunities Law of Japan and is committed to promoting gender equality. (https://www.ims.ac.jp/en/recruit/sankaku.html) Our support measures for researchers, regardless of gender, who have childcare and family care responsibilities are found from here. (https://www.ims.ac.jp/en/about/bunshi_sankaku.html)
(2) Handling of personal data
All the private data in application for selection and employment is handled in strict confidentiality in accordance with Personal Information Protection Law of Japan and the NINS Personal Information Protection Rules, and such data is not utilized for any other purpose. Applications should be submitted after agreeing above handling.