Member of Research Staff (Machine Learning for Neural Circuit Modeling Postdoc)

Episteme is a new kind of R&D company focused on impactful scientific research. They are seeking a Member of Research Staff to develop machine learning models for neural circuit modeling, working closely with both computational and experimental scientists.

Responsibilities:

• Develop and test ML models for processing and integrating multi-modal data priors (e.g., calcium imaging, connectomics, and voltage dynamics of individual neurons and circuits)
• Develop and test ML models for predicting neural activity and behavior from experimental datasets
• Explore advanced deep learning methods (e.g., symbolic regression, GNNs, Transformers, generative models) to inform neural models from data and enhance interpretability
• Apply statistical and causal inference methods to identify candidate circuit mechanisms
• Develop models and software that can be broadly adopted by the scientific community through open-source or commercial distribution models
• Contribute to the collaborative, interdisciplinary environment of the project
• Follow a structured research plan, with defined tasks and milestones