Job description
Background of the recruitment and description of the project
We will promote the R&D and implementation of a next-generation AI infrastructure to revolutionize materials development by maximizing the use of NIMS’s vast accumulation of materials science data, including scientific papers, experimental data/images, and crystal structures. Specifically, the candidate will be responsible for the continuous pre-training and fine-tuning of LLMs using our proprietary data, and the development of domain-specific tokenizers. Furthermore, leveraging frameworks such as LangChain, LlamaIndex, and AutoGPT, as well as the Model Context Protocol (MCP), you will design and build the architecture for "Autonomous Research AI Agents" that can independently operate and interface with NIMS''s existing computational simulators and automated experimental systems. By designing advanced reasoning frameworks using cutting-edge AI technologies such as GraphRAG, along with hybrid AI systems that incorporate physical constraints, we aim to realize a data-driven research platform that dramatically accelerates the speed of materials discovery. For this position, we are seeking individuals who can apply AI technologies with intellectual curiosity toward the domain of materials science, and who find value in implementing the latest technologies from the IT industry into the research field with a proactive mindset.
For more information, please visit NIMS website.
Work content and job description
As above.
Assigned department
Existing departments
Research Network and Facility Services Division (RNFS) , Materials Data Platform (MDPF)
Job type
- R&D/Engineer
Research field
Informatics - Intelligent informatics
Informatics - Robotics and intelligent system
Informatics - Intelligent robotics
Informatics - Mathematical informatics
Others - Others
AI Agent
Wages
Annual Salary : 6 million yen ~
Salary / Supply:
We will fairly evaluate your past achievements and skills, and offer competitive compensation based on industry standards and your previous salary.
Annual salary increase (July), twice-yearly bonuses (June, December).
Please refer to the "URL of this job posting" for details.
Working hours
Working hours :08:30-17:15
Break time :12:00-13:00
Holidays : Saturdays, Sundays, national holidays, year-end and New Year holidays (December 29 to January 3), annual paid leave, summer holidays, maternity leave, special leave for marriages and funerals, and other types of leave as specified in the rules of the institute.
Overtime and other explanations : The standard work time (8:30-17:15, 7h 45m) or the flextime system is available.
Teleworking program available.
Application requirements
Qualifications
Education and Degree Requirements
Bachelor / Associate
Description
- Deep understanding of Transformer architectures and hands-on experience in implementing and deploying deep learning models using Python and frameworks such as PyTorch or TensorFlow.
- Technical expertise in Large Language Models (LLMs), with practical experience in Continuous Pre-training, Fine-tuning, and RAG (Retrieval-Augmented Generation).
- Profound knowledge of software engineering and high-level engineering skills to design and build complex software systems from scratch.
Employment Type
- Regular employee
Contract period
Tenured - Non-tenure track
Term:
Retirement age: 62 (as of FY2025~2026)
* Following the national government employees, the retirement age will be raised by one year every two years in stages starting in April 2023, and will be 65 years old after April 2031. (For those born on or after April 2, 1967, the retirement age will be 65.)
* In case an employee retires before the age of 65, he/she can use the reemployment system to be rehired until the age of 65 if he/she so desires.Probationary period present
Trial period 6 months
Work location
305-0047 Ibaraki Tsukuba, Sengen 1-2-1
Sengen Site (Sengen1-2-1), Namiki Site (1-1 Namiki) or Sakura Site (3-13 Sakura)
Compensation
Measures for preventing passive smoking at the workplace
Smoking is not permitted on the premises except in designated smoking areas.
Application Considerations
Considerations for conducting interviews (e.g., those who live far away, such as overseas)
Depending on the situation, online or face-to-face interview will be conducted.
Number of hired
2 person(s)
Description
Several positions available
Job content supplemental explanation
Starting date: Negotiable
Application period
2026/03/16~2027/03/12 Deadline for receipt
Applications will be accepted as long as this call is posted on the NIMS official website.
Application method
Attached documents
Other online application forms
After obtaining your Applicant ID, submit the prescribed application form and recommendation letter via email.
For information on obtaining your Applicant ID and downloading the application form and recommendation letter, please refer to "URL of this job posting".Return of application documents
We will dispose of all application documents responsibly.
URL of this job posting
Selection / Notification of result
Selection
Applications will be reviewed as they are received.
- Document screening
- First-round interview: Meet face-to-face at NIMS for domestic residents, Online for overseas residents
- Second-round interview: Meet face-to-face at NIMS
Interviews with non-native Japanese speakers will be conducted in English.
Notification of result
* The results of the selection process of the permanent position will be communicated regardless of whether an applicant was successful or not.
* Individual inquiries regarding the selection process and results will not be accepted.
Contact details
National Institute for Materials Science
Human Resources Development Office
[A26-02]
0298592555
nims-recruit(at)nims.go.jp
* Please change (at) to @ and send it.
Notes
[Gender Equality]
We believe that the fulfillment of the overall work and family life of each employee, who has diverse values and lifestyles, will lead to the revitalization of NIMS, and we are working to create a workplace where both men and women can work comfortably.
Details can be found on the following website: https://www.nims.go.jp/eng/nims/equality/index.html
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