Computational Neuroscience Intern - Data Analysis and Modeling

Computational Neuroscience Intern

Astera Institute is seeking a Computational Neuroscience Intern to help analyze large-scale connectome and neurophysiology datasets and develop computational models of neural circuits and brain function. This role is ideal for students or early-career researchers interested in combining neuroscience, data analysis, and scientific computing.

Responsibilities

• Process and analyze neurophysiology data such as electrophysiology, calcium imaging, or spike train recordings
• Analyze connectomics datasets, including neuronal connectivity graphs and anatomical reconstructions
• Develop computational models of neural circuits and network dynamics
• Implement data analysis pipelines and visualization tools
• Collaborate with researchers to interpret experimental data and generate hypotheses
• Contribute to documentation, reproducible workflows, and scientific reports

Qualifications and Experience

• Experience programming in Python and Matlab
• Familiarity with scientific computing libraries such as NumPy, SciPy, pandas, PyTorch, TensorFlow, or similar tools
• Basic understanding of neuroscience concepts, neural systems, or computational modeling
• Experience working with data analysis, statistics, or machine learning workflows
• Ability to work independently and communicate technical findings clearly

Preferred Qualifications

• Experience with connectomics or neurophysiology datasets
• Knowledge of computational neuroscience frameworks or simulators (e.g., NEST, Brian, NEURON)
• Experience with machine learning or dynamical systems modeling
• C++ programming experience is a strong bonus
• Familiarity with Linux, Git, and high-performance computing environments

Nice to Have Areas of Interest

• Neural circuit modeling
• Vision neuroscience
• Synaptic plasticity and learning
• Large-scale brain simulations
• Data-driven modeling of neural systems

Education

• Pursuing or recently completed a degree in Computational Neuroscience, Neuroscience, Computer Science, Physics, Electrical Engineering, Applied Mathematics, or a related field

Location

• This position is hybrid at our office in Emeryville, CA. Some travel may occasionally be required for collaboration and team events.
• Applicants must be currently authorized to work in the United States without the need for employer sponsorship, now or in the future.

Compensation

The posted wage range is based on location in the Bay Area. The successful candidate will receive a competitive compensation package, commensurate with their experience and location.