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東京大学 松尾・岩澤研究室

2.0_Project Researcher, Project Assistant Professor, Project Lecturer

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2.0_Project Researcher, Project Assistant Professor, Project Lecturer

仕事概要

【Research Activities】
・Research and development on the fundamentals and applications of deep representation learning.

The Matsuo Laboratory is extensively engaged in research and development to realize smarter machines and to elucidate the principles of intelligence, with a focus on world models.

As a specially appointed researcher/assistant professor/lecturer, you will be responsible for building fundamental methodologies for modeling the external world, or for promoting research in the areas of natural language processing and robotics.

Examples of research themes are listed below, but we are looking for a wide range of people who share the concept of world modeling and can proactively set up their own themes.
Example:
・Deep generative models (VAE, GAN, Flow, diffusion models, etc.)
・Self-supervised learning
・Construction of large-scale models
・Fundamental research on deep learning (lottery hypothesis, network architecture exploration, etc.)
・Reinforcement learning and robotics (especially simulator-based policy acquisition and real-world transitions)
・Image recognition technology related to automatic driving (especially video recognition, video prediction, etc.)
・Natural language processing and semantic understanding (especially research on recent advances such as Transformer, utilization of multimodal data, etc.)


【Other duties】
∙ Research and development (submitting results to international conferences is encouraged)
・Management of projects related to your research area, including students
・Collaborative research projects with companies
・ Several lectures per year (to be arranged in accordance with your interests)

必須スキル

【Research Activities】
・Research and development on the fundamentals and applications of deep representation learning.

The Matsuo Laboratory is extensively engaged in research and development to realize smarter machines and to elucidate the principles of intelligence, with a focus on world models.

As a specially appointed researcher/assistant professor/lecturer, you will be responsible for building fundamental methodologies for modeling the external world, or for promoting research in the areas of natural language processing and robotics.

Examples of research themes are listed below, but we are looking for a wide range of people who share the concept of world modeling and can proactively set up their own themes.
Example:
・Deep generative models (VAE, GAN, Flow, diffusion models, etc.)
・Self-supervised learning
・Construction of large-scale models
・Fundamental research on deep learning (lottery hypothesis, network architecture exploration, etc.)
・Reinforcement learning and robotics (especially simulator-based policy acquisition and real-world transitions)
・Image recognition technology related to automatic driving (especially video recognition, video prediction, etc.)
・Natural language processing and semantic understanding (especially research on recent advances such as Transformer, utilization of multimodal data, etc.)


【Other duties】
∙ Research and development (submitting results to international conferences is encouraged)
・Management of projects related to your research area, including students
・Collaborative research projects with companies
・ Several lectures per year (to be arranged in accordance with your interests)

歓迎スキル

Research achievements, including main papers in top international conferences in related fields (examples below)
※required for specially-appointed assistant professors and specially-appointed lecturers
  Machine learning fundamentals: ICLR, ICML, NeurIPS
  Linguistic systems: ACL, NAACL, EMNLP
  Image systems: CVPR, ECCV, ICCV
  Robotics: IROS, ICRA, RSS, CoRL

※Management experience is not required, but management of students may be required as part of the job.

求める人物像

ー

【Request】
・Please submit the following documents. All documents are required.
  (1) The University of Tokyo Standard Resume Format (Please submit Excel data)
  https://www.u-tokyo.ac.jp/en/about/jobs.html
  (2) List of research achievements (original papers, review articles, invited lectures, etc.)
  (3) An outline of your research to date and a description of your future research vision (any format is acceptable, such as text, slides, etc.)

・After clicking the "Apply" button at the top of the screen, please upload the files above to the "Other Files" form.

・Please indicate in the "Message to us" the closest field of study to the following
 World Model / LLM / Algorithm / Robotics / Social Implementation / Brain Model / Other

応募概要

給与

6,000,000 yen ~ 12,000,000 yen

勤務地

Matsuo Laboratory, Graduate School of Engineering, The University of Tokyo
Faculty of Engineering Building 2, 7-3-1. Hongo, Bunkyo-ku, Tokyo

国立大学法人 東京大学 工学系研究科 松尾研究室
東京都文京区本郷7-3-1 工学部2号館

雇用形態

Full-time employee

勤務体系

【Working hours】7 hours and 45 minutes per day based on the discretionary work system for specialized work.
【Holidays】Saturdays, Sundays, national holidays, year-end, and New Year holidays (December 29-January 3)
【Vacations】Annual paid vacations, special vacations, etc.

試用期間

福利厚生

Full social insurance coverage (employment, workers' compensation, health, and welfare pension), transportation expenses provided, etc.

Skills

See also

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