Postdoc: ML for Neural Circuits & Dynamics

Episteme; San Francisco (CA); On-site; USD 120,000 - 140,000; Full time

Benefits offered by this job

Comprehensive medical coverage

Fully paid short-term and long-term disability

Parental leave

Job summary

Episteme in San Francisco is searching for a Member of Research Staff specializing in Machine Learning for neural circuit modeling. This role involves developing statistical and machine learning models to analyze neural dynamics from experimental data.

The ideal candidate should have a Ph.D. in a relevant field and a robust understanding of machine learning techniques. The position offers competitive compensation, comprehensive benefits including medical coverage, and generous parental leave.

Qualifications

• Strong track record developing machine learning methods for multidimensional data.
• Demonstrated expertise in statistical modeling and causal inference.
• Experience with predictive, generative, and classification tasks.

Responsibilities

• Develop and test ML models for processing multi-modal data.
• Explore advanced deep learning methods to enhance interpretability.
• Contribute to the collaborative, interdisciplinary environment of the project.

Skills

Machine Learning Foundations

Statistical Modeling

Python Programming

Education

Ph.D. in a related field

Tools

PyTorch

JAX

Job description

Episteme in San Francisco is searching for a Member of Research Staff specializing in Machine Learning for neural circuit modeling. This role involves developing statistical and machine learning models to analyze neural dynamics from experimental data.

The ideal candidate should have a Ph.D. in a relevant field and a robust understanding of machine learning techniques. The position offers competitive compensation, comprehensive benefits including medical coverage, and generous parental leave.