The rapid growth of devices (smartphone, tablets, robots, wearables, etc.) and the Internet has increased the amount of information that is being produced and accessed by society. In order to better utilize the data produced from millions of devices and systems, we are conducting research and development in a wide range of fields at the interface between information technologies and human factors. Our mission is to engage and enrich the public through the research and development of intelligent systems combining computational and physical capabilities for human use. A key component of our mission is making new discoveries in the hardware and software that interacts with physical devices to sense and change the state of the real world. Our discoveries will lead to industry innovations and contribute to the advancement of society by facilitating the interaction of humans with cyber-physical systems.
 

Outstanding Research Scientist (Type D - Fixed Term Position)

Position type for Outstanding Research Scientists are Type D - Fixed Term Position; please refer to the following URL for details, compensations, etc. of the Outstanding Research Scientist position.
 

• Outstanding Research Scientist

Entry ID IFP-13	Title	Outstanding Research Scientist (Information Technology and Human Factors)  *Note: in the process of selection, if it is judged to be appropriate, an employment screening and related recruitment examination may be conducted in a different research department from the research department selected by the applicant.
	Job Summary and Essential/Desirable Skills and Experience	Applicants select research subjects related to research conducted in AIST's each research department. In addition to the originality and novelty of research subject setting as well as his/her research results, a researcher with excellent research skill and expertise on foreseeing the impact of research results and creativity are recruited.
	Start of Employment	April 1st, 2025
	Research Unit	The research department to which successful applicants are assigned will be determined based on applicants' expertise and matching of his/her research subjects. Workplace depends on the research unit.
	URL	https://www.aist.go.jp/aist_e/dept/en_dithf.html
	Inquiry	Secretariat of Recruitment and Employment Committee E-mail: M-aist-koubo24-ml*aist.go.jp (Please replace "*" with "@".)
	Number of Position	1
	Related Research Areas	Integrated Fields
	Application Deadline	An application is acceptable at any time. NB: The job opportunity will be closed in the case that the vacant positions are occupied by appropriate applicants.
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Type D (Fixed Term position)

Type D is a fixed-term position under annual salary system designed to appoint a highly qualified research scientist to promote research project flexibly and effectively.
 

• Type D - Fixed Term Position

 

Entry ID ITH-32	Title	Research and development of foundation models for real-world
	Job Summary and Essential/Desirable Skills and Experience	We are recruiting researchers who have expertise and programming skills in machine learning, pattern recognition, natural language processing, and robotics. Successful applicants will engage in research and development of real-world AI technologies such as foundation models that can incorporate real-world information (e.g. images, speech, acoustics, and other sensor data), multimodal integration schemes, and implementation in robots and other machines. We welcome those who do not have a doctoral degree but who are motivated to utilize their practical experience at a company for the social implementation of AIST's R&D.
	Start of Employment	At any time
	Term of Employment	Maximally March 31, 2027  (Employment term will be determined by the results of the examination)
	Research Unit	Artificial Intelligence Research Center or Industrial Cyber-Physical Systems Research Center
	Work Location	AIST Tokyo Waterfront, AIST Tsukuba Headquarters
	URL	https://www.airc.aist.go.jp/en/recruit/
	Inquiry	E-mail:  ith-jobs-ml*aist.go.jp (Replace "*" with "@")
	Number of Position	a few positions available
	Key Words	Artificial intelligence／Foundation model／Multimodal learning／Parameter efficient fine tuning／Real-world applications
	Related Research Areas	Informatics／Natural Science
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