Advanced Speech Technology Lab. at NICT, Japan has an open *Postdoctoral* position.
## ABOUT NICT-UCRI (NICT Universal Communication Research Institute) NICT is a Japanese national research institute that focuses on information and communications technology. NICT employs 900 researchers/engineers/staffs, and has ten research centers. NICT-UCRI is one of them, and is situated 30km south of Kyoto, a historical city of Japan.
## ABOUT THE POSITION - The position is offered at a one-year basis, and is renewable until March 2021. - The salary will depend on qualifications and experience. - The successful candidate will have access to our software engines and large-scale corpora for spoken dialogue studies.
## HOW TO APPLY http://www.nict.go.jp/en/general_affairs/employment/index-e-top2016-10.html Closing date: July 4, 2017.
## POSITION (1) Reference: 2017R-30 * Research Topic: "Spoken Language Understanding and Motion Generation Using Linguistic and Non-Linguistic Information for Domestic Service Robots"
* Abstract: The objective of this project is to investigate spoken language understanding methods using linguistic and non-linguistic information for domestic service robots. As a successful candidate, you will focus on applying machine learning methods to train probabilistic models with large-scale linguistic and non-linguistic data obtained from physical/cyber spaces, as well as on language understanding, dialogue, and motion generation that are dependent on the situations and users.
* Minimum Qualifications - Ph.D. in computer science, informatics, robotics, or a related field - Strong publication record in the fields related to robot learning, machine learning, spoken language processing, computer vision, human-computer interaction, artificial intelligence - Good communication skills in spoken and written English * Preferred Qualifications - Extensive programming skills in Python/JavaScript/MATLAB/C++ - Independent and persistent personality, as well as a team player
* Details http://www2.nict.go.jp/employment/tempstaffinfo/exr-e/H29/2017R-30.pdf