Dear colleagues,
Applications are now open for this year’s Neuromatch Academy, and we would be very grateful if you might consider sharing the opportunity with your students and networks. Neuromatch Academy offers two- and three-week courses each July in Computational Neuroscience, Deep Learning, and NeuroAI (see more information below). The courses are delivered as live, global, collaborative virtual programs, where students are matched into small pods of around 16 participants with a dedicated teaching assistant for the duration of the course and also work together on a group research project. Applications close on 15 March.
We are also currently recruiting Teaching Assistants, which may be of particular interest to members of the COSYNE community. Teaching Assistants support small student pods throughout the course and help facilitate discussions, tutorials, and project work. These are fully paid roles and provide an excellent opportunity for postdoctoral researchers and advanced PhD students to gain teaching and mentorship experience within a large international program.
If you have any questions or would like additional information to share with your students, I would be very happy to provide it.
Best wishes,
Bradley
Bradley Roberts, DPhil (he/him)Chief Executive Officer


Students
You'll need:
- Basic Python, intermediate for NeuroAI
- Core math skills
- Additional domain specific prerequistes based on the course you're applying for
You'll Gain:
- Extensive and broad knowledge of the course topic and Python Skills
- A global peer group and dedicated Teaching Assistant
- Experience with a real-world research project
Tuition:
- Calculate your tuition, fee is adjusted to local cost of living
- Partial and full-course fee waivers are available on a as-needed basis
Teaching Assistants
You'll need:
- Proficiency in Python
- Knowledge of the course subject you’re applying to
- An undergraduate degree
- Previous teaching experience preferred, but not required
You'll Gain:
- Compensation for your time and training
- Training on the peer-to-peer education model
- Connections with fellow peers in your field
Don’t wait — applications for both students and Teaching Assistants close 15 March!
Apply Now
Learn more about our 2026 course offerings:
- Computational Neuroscience - Model the brain using cutting-edge tools from machine learning and causal inference.
- Deep Learning - A code-first, TA-guided introduction to deep learning with a focus on ethics and science.
- NeuroAI - Explore how brains and machines generalize across circuits, tasks, and learning rules.
- Computational Tools for Climate Science - Use computational tools to analyze climate data and models spanning most areas of climate science.
