Neuro for AI Internship
About The Position
Netholabs is building AI grounded in biological intelligence. We record petascale, high-resolution neurobehavioural data from living systems and use it to train neural foundation models — a new substrate for the next generation of AI, robotics, and personalized intelligence. We're looking for a Neuro for AI Intern to help connect the neuroscience side of our work to the models we're building. You'll spend time close to the data — supporting recording sessions, annotating neural and behavioural datasets, and digging into the literature — and use that grounding to help translate biological principles into features, experiments, and model design choices. This is a hybrid role for someone who wants a foot in both neuroscience and ML.
Requirements
- Background in neuroscience, behavioural science, cognitive science, or a related field (coursework, research, or project experience)
- Proficient in Python, including experience building and training models in PyTorch — comfortable writing and debugging code, not just running analyses in notebooks
- Able to read and synthesize scientific literature clearly and critically
- Curious and comfortable working across disciplines in an ambiguous, fast-moving research environment
- Good communication; able to document work clearly as you go
Nice To Haves
- Exposure to neural/behavioural data (e.g., electrophysiology, video-based behaviour tracking, motion capture)
- Experience with time-series data such as EEG
- Experience with data annotation or structured dataset curation
- Interest in robotics, embodied AI, or computational neuroscience
Responsibilities
- Support neurobehavioural recording sessions and data capture
- Annotate and label neural/behavioural datasets for model training
- Help maintain data quality, structure, and documentation standards
- Review neuroscience and behavioural science literature relevant to active projects
- Summarize findings and surface ideas that could inform model design
- Help track open questions and relevant research across the field
- Analyze neural and behavioural data feeding into foundation model training
- Build small scripts/notebooks to explore and visualize datasets
- Support quality checks and validation of processed data
- Help translate biological principles into model features or architectures
- Support design and running of ML experiments informed by neuroscience insights
- Contribute to internal write-ups connecting findings back to the modeling team
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Career Level
Intern
Education Level
No Education Listed
