About us
IBM Research – Tokyo was established in 1982 and has been focused on innovations that use cognitive computing to solve social and industry problems through expertise in cognitive device technologies, text analytics, and mathematical science technologies. IBM Research – Tokyo has facilities in Tokyo and Shin-Kawasaki and has played a key role in exploring research opportunities with its clients in Japan. By applying its research assets and expertise, IBM Research – Tokyo meets its clients’ needs for innovations and helps them overcome their business challenges through collaboration. IBM Research - Tokyo is currently investing in the most promising and innovative technologies of its four fundamental pillars: AI Hardware, Core AI, Industry Research, and Quantum Software.

Careers and internships
Join some of the best scientists from around the world, many from Japan at IBM Research - Tokyo. Research key areas include cognitive device technologies, analytics and mathematical science technologies.
Students and recent graduates:

Locations
Tokyo
19-21, Nihonbashi Hakozaki-cho
Chuo-ku, Tokyo 103-8510 Japan
Shin-Kawasaki
NANOBIC 7-7 Shin-Kawasaki, Saiwai-ku, Kawasaki,
Kanagawa, 212-0032 Japan

Director
Dr. Takeshi Fukuda is the Director of IBM Research – Tokyo. He is leading the lab by defining strategy, executing R&D projects, hiring top-notch scientists, and fostering an innovation.
Visiting IBM Research - Tokyo
The IBM Research – Tokyo is collocated with IBM Japan Headquarters Office in Hakozaki, Tokyo, Japan
Telephone
+ 81-3-6667-1111
Address
19-21 Nihonbashihakozakichō, Chūō-ku,
Tōkyō-to 103-0015, Japan
IBM Research’s Shin-Kawasaki facility is located at NANOBIC, a joint research facility operated by industry, academia and government and hosted by Kawasaki City of Japan.
Telephone
+ 81-3-6667-1111
Address
NANOBIC 7-7 Shin-Kawasaki, Saiwai-ku,
Kawasaki, Kanagawa, 212-0032 Japan
Join IBM Research - Tokyo
Join some of the best scientists from around the world, many from Japan at IBM Research - Tokyo. Research key areas include cognitive device technologies, analytics and mathematical science.