Computational Neuroscience Intern - Data Analysis and Modeling
About Astera
Astera is a private foundation dedicated to advancing science and technology towards an abundant future. We aim to leverage exponential advancements in AI to revolutionize how we approach scientific and technological challenges.
Position Summary
Astera Institute seeks a Computational Neuroscience Intern to contribute to the analysis of large-scale connectome and neurophysiology datasets, developing computational models of neural circuits and brain function.
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.
Cultural Alignment
- Surprising problem-solver
- Flexible by default
- Bias to action
- High standards, internally driven
- Open to feedback
- Operate with the highest levels of integrity, judgment, and stewardship
- Embrace the tools that define great work today