Postdoctoral Researcher-AI Engineer Opportunities: Join the Ohmae lab at CIBR!

About the Lab

Our research group investigates neocortico-cerebellar cognitive functions by integrating state-of-the-art animal experiments with advanced AI technologies. We develop deep-learning-based AI circuits that model biological brain circuits, enabling us to replicate and study information flow and transformation within the brain. Additionally, we compare brain and AI systems to gain insights into cognitive processing mechanisms.

Our distinctive "AI-inspired neuroscience" approach leverages insights from brain-mimicking AI models to propose and validate novel neuroscience theories. Through this interdisciplinary strategy, we aim to uncover the computational principles underlying cognitive processing in the brain. If you are passionate about advancing both AI and neuroscience, we invite you to join us in this exciting research endeavor!

Ohmae lab at CIBR:

https://cibr-ohmae.notion.site/Ohmae-CIBR-1b60786c909980158c35c544ae945d6c

Our Latest Works:

Emergence of syntax and word prediction in an artificial neural circuit of the cerebellum.

https://www.nature.com/articles/s41467-024-44801-6

The brain-AI convergence: Predictive and generative world models for general-purpose computation.

https://arxiv.org/abs/2512.02419

About the PI

Dr. Ohmae earned his M.D. from Kyoto University in 2004 and his Ph.D. from Juntendo University in 2008. He conducted postdoctoral research at Hokkaido University and the University of Pennsylvania and later served as an assistant professor at Baylor College of Medicine, where he received an NIH R34 grant. He investigates neocortico-cerebellar cognitive functions such as sequence and language processing, using large-scale neuronal recordings and AI-based modeling. Since March 2024, he has been serving as an Assistant Investigator at the Chinese Institute for Brain Research, Beijing (CIBR).

Webpage:

https://cibr.ac.cn/#/teamDetail/cibrTeamteam/708776693555478daae3bc97fe255dcd/Shogo%20Ohmae?lang=en

Job Opportunity: Neuroscience Research Team Postdoctoral Researcher-AI Engineer

We are seeking a highly skilled AI Engineer with a strong interest in Neuro-AI research to join our neuroscience research team at the Chinese Institute for Brain Research (CIBR), Beijing. The ideal candidate will have expertise in artificial intelligence, machine learning, and/or natural language processing (NLP), combined with enthusiasm for interdisciplinary Neuro-AI research. This position offers a unique opportunity to work at the intersection of neuroscience and AI, contributing to cutting-edge neuroscience research and the development of biologically inspired AI systems.

Job Description

The final job description will be tailored based on the candidate’s expertise and project requirements. Potential projects may include computer simulations of neocortico-cerebellar cognitive processing and Brain-AI signal comparison, and other related tasks. Responsibilities may include, but are not limited to:

Research and Development

1. Computational Neuroscience & Data Science: Conduct research on neuronal activity data from experiments. This may include developing models for brain–machine interface decoding, analyzing large-scale neural datasets, and creating multimodal frameworks to compare processing mechanisms between the brain and AI.

2. Brain-imitating AI Modeling: Design, develop, and deploy brain-imitating AI models, such as artificial neural networks and simulations of brain circuits and cognitive processes (e.g., language, internal world models).

3. Staying Current with Advances: Remain up-to-date with developments in AI, machine learning, NLP, and computational neuroscience to drive innovation in brain-inspired modeling.

4. Cross-Disciplinary Integration: Collaborate across disciplines to integrate AI computing modules with neuroscience experimental platforms, supporting system integration for cognitive computing and neural decoding research.

Technical and Programming Support

1. Computational Platforms: Build and maintain computational platforms for data analysis and brain-inspired AI models.

2. Experimental Equipment Integration: In cooperation with other technicians, assembling and maintaining experimental equipment (e.g., Windows computers, Arduino, amplifiers, TTL-driven devices) to ensure seamless integration with computational research.

3. Methodology Development: Support the development of novel methodologies for data analysis and computational modeling across ongoing projects.

4. Programming Assistance: Provide programming support to lab members, including tutoring in coding skills and guiding them toward systematic learning resources.

Requirements

1. Strong interest in brain computation mechanisms and Neuro-AI research.

2. Excellent written and verbal communication skills in English.

3. Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Computational Neuroscience, or a related field.

4. Strong communication skills with the ability to explain complex AI concepts to researchers and staff with a biology background.

5. Strong computer and programming fundamentals, with proficiency in programming languages such as Python and deep learning frameworks (PyTorch/TensorFlow).

Preferred Skills and Experience

1. Strong foundation in deep learning and statistical machine learning, with expertise in natural language processing (NLP), probabilistic modeling, or optimization algorithms.

2. Experience in reinforcement learning, generative AI, or multimodal model development.

3. Familiarity with bioinformatics data analysis methods or neuroscience experimental paradigms.

4. Ability to design flexible solutions to address various challenges in biological exploration.

Application Method

Candidates should send their English CVs to the following email address: shogo@cibr.ac.cn with CC to sohmae.jp@gmail.com keiko.kitaguchi@gmail.com