Postdoctoral Scholar, Cognitive Neurorobotics Research Unit
We are looking for postdoctoral scholars who are interested in the following research topics: Studies of various types of robot learning using recurrent neural network (RNN) models based on predictive coding and active inference frameworks. This could include investigation on more theoretical aspects in these frameworks. Studies on developmental robotics with focusing on the problem of generalization through stages of development. We hope that developmental processes during life-time learning spanning for months to years can be observed. This study may use reinforcement learning as well as predictive coding and active inference framework. We are also interested in conducting synthetic neurorobotics modeling studies on developmental disorders including schizophrenia and ASD. Studies on developmental social cognition with focusing on the problem of perception of self and others under experiment setup in human-robot or robot-robot contextual, enactive, and multimodal interaction. This study may also incorporate with research outputs from (1) and (2) Studies on development of general intelligence by modeling the higher-order cognitive brain mechanism of executive control and working memory usage.
Benefits
Additional Info
Compensation and Application
Expected Annual Salary: 4.6M-5.9M yen (In accordance with the OIST Employee Compensation Regulations)
Application Documents Required:
- Curriculum vita including a list of publications
- Research statement
- Names and contact information of 3 referees (one should be a previous employer)
How to Apply:
Apply by submitting your application documents to: [email protected]
Employment Details
Job Type: Postdoc
Employment Term: Full-time, fixed term appointment for 2 years (includes 6-month probationary period)
Working Hours: 9:00-17:30 (Discretionary)
Disclaimer
OIST Graduate University is an equal opportunity, affirmative action educator and employer and is committed to increasing the diversity of its faculty, students and staff. Information provided by applicants or references will be kept confidential in accordance to the OIST Privacy Policy; documents will not be returned.
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