Post-Doc/Research-Scientist Positions in Tokyo: Deep Learning, Bayes, and Optimization
Two post-doc/research-scientist positions in Tokyo, focusing on deep learning, Bayes, and optimization.
Two open post-doc/research-scientist positions are available at the intersection of deep learning, Bayes, and optimization in Tokyo.
Research areas of interest include:
- large-scale deep learning
- adaptation
- continual learning
- lifelong learning
- federated/distributed/decentralized learning
- active learning
- reinforcement learning
- model merging
- test-time adaptation
- NLP related problems
- transparent and trustworthy ML
- visual question answering
- multimodal deep learning
Applicants must have published at least one paper in ML venues, such as NeurIPS, ICML, ICLR, AISTATS, JMLR, TMLR, etc.
For more information, please visit https://www.riken.jp/en/careers/researchers/20240917_2/index.html
Tags: post-doc positions, research-scientist positions, deep learning, Bayes, optimization, Tokyo, machine learning, research careers