Specially-appointed Researcher

Researcher Profile: Recognised Researcher (R2)

Application Deadline: 31 Oct 2026 - 23:59 (UTC)

Country: Japan

Type of Contract: Permanent

Job Status: Not Applicable

Hours Per Week: See description

Is the job funded through the EU Research Framework Programme?: Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure?: No

Offer Description

Background of the recruitment and description of the project

The Center for Environmental Remote Sensing (CEReS), Chiba University, processes, archives, and publishes satellite data and related ground observation data, and conducts a broad range of research in Earth environmental sciences. At this time, we are recruiting a specially-appointed researcher to conduct education and research related to the development of AI-based subseasonal-to-seasonal prediction models.

https://www.jst.go.jp/k-program/program/kaiyou4.html

Work content and job description

The successful candidate will conduct education and research on "AI-based seasonal prediction models" within a research project funded by the Japan Science and Technology Agency (JST), and will develop methods to improve 10-90-day subseasonal-to-seasonal prediction for societal applications, including ship operations. Building on systems such as ClimaX-LETKF and Anemoi-based global and regional graph neural networks, the candidate will develop AI seasonal prediction models that maintain numerical stability and physical consistency in integrations extending up to three months. The candidate will also develop AI models trained jointly on atmospheric and oceanic data, with the aim of establishing prediction methods that appropriately represent physical processes that underpin seasonal predictability and their remote influences.

Specific research tasks may include the following.

• Development of AI weather and climate models, including subseasonal-to-seasonal prediction models based on the existing ClimaX-LETKF or Anemoi system
• Development of AI prediction models capable of stable integration with longer forecast intervals
• Development of forecast-correction methods using conditional diffusion models, generative AI, statistical correction, and related approaches
• Development of Transformer-based super-resolution methods for low-resolution outputs from physical and AI models

This position is intended not merely to apply existing AI models, but to advance research that integrates AI prediction models, generative models, data assimilation, and ensemble forecasting while accounting for the physical processes governing predictability on subseasonal-to-seasonal timescales.

Please contact Prof. Shunji Kotsuki below for further details.

Assigned department
Existing departments

Work location
263-8522 Chiba 1-33 Yayoi-cho, Inage-ku, Chiba-city, Chiba, Japan

Number of hired
Number of hired:1 person(s)
Hiring date:2026-10-01 00:00:00
Starting date:2026-10-01 00:00:00
Job content supplemental explanation:As early as possible between 1st October 2026 and 1st April 2027 (negotiable).

Where to apply

Website: https://jrecin.jst.go.jp/seek/SeekJorDetail?fn=0&ln=1&id=D126081375&ln_jor=1

Additional Information

Benefits

Compensation

Annual salary:5 million yen - 6 million yen
Wages description:Salary will follow university regulations and depend on years of experience. For a researcher in the first year after obtaining a Ph.D., the annual salary is expected to be around 5.50 million JPY. Salary increases may be possible depending on achievements.
Working hours:08:30-17:15
Break time:12:00-13:00
Holidays :Holidays: Saturdays, Sundays, National holidays, and year-end and New Year holidays.
Overtime and other explanations:under the Discretionary Labor System for Professional Work
Employment type:Contract employee
Employment type description:Specially-appointed researcher (full-time)
Contract period:Nontenured
Contract period description:The contract is annual (until March 31 of each fiscal year). Renewal may be possible depending on performance, research needs, and available funding.
Probationary period:Probationary period absent

Various systems
Transportation expenses:yes

Insurance
Employees' Health Insurance:yes
Employees' Pension Insurance:yes
Worker's accident insurance:yes
Employment insurance:yes

Measures for preventing passive smoking at the workplace
no somking on campus

Supplementary explanation of compensation
Employee Benefits:
(1) Job title: Specially-appointed researcher (full-time).
(2) Salary, etc.: University's Specified Employment Staff Salary Regulations based on your years of experience will be applied
(3) Working hours: from 8:30 to 17:15, 5 days a week, 7 hours and 45 minutes per day (under the Discretionary Labor System for Professional Work).
(4) Holidays: Saturdays, Sundays, National holidays, and year-end and New Year holidays.
(5) Leave: granted based on the University’s employment agreement.
(6) Various allowances: provide commuting allowance if requirements are met based on the regulations.
(7) Insurance: join a mutual aid association, employment insurance, and workers' accident compensation insurance

Additional comments
Application documents will not be used for any other purposes than the selection process. These documents will not be returned unless a stamped self-addressed envelope is enclosed.
Interviews may be conducted during the selection process. Travel expenses will not be reimbursed.
Salary will be determined in accordance with Chiba University's regulations for specially appointed staff, based on years of experience. For a researcher in the first year after obtaining a Ph.D. degree, the expected annual income is approximately 5.5 million yen.
The laboratory has established a Research Policy concerning authorship, research activities, working conditions, and the research environment.

Work Location(s)

Number of offers available: 1

Company/Institute: Chiba University

Country: Japan

City: Chiba

Contact

City: Chiba