Neuroscientist

Type: Full-time

Location: University of Sussex, Brighton - On-site

The Role

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 personalised intelligence. We aim to greatly reduce the burden of animals used in basic scientific research and pharmacological work, with eventual removal and replacement by in silico models.

We're looking for a Neuroscientist to join our Brighton research team as an independent contributor driving experiments from design through analysis. You'll design and run in vivo electrophysiology and behavioural experiments, work with large-scale neural and behavioural datasets, and partner closely with our ML team to translate what we learn about real brains and bodies into better foundation models. This is a role for someone who wants their science to feed directly into what gets built next.

Responsibilities

In Vivo Electrophysiology & Neural Recording

Design and run in vivo electrophysiology experiments in animal models

Develop and refine neural recording protocols and rigs alongside the hardware team

Ensure recordings meet the quality and fidelity standards our models are trained on

Behavioural Neuroscience & Experimental Design

Design behavioural paradigms that generate rich, well-controlled datasets

Plan and oversee data collection sessions, in collaboration with technicians

Iterate on experimental design based on data quality and downstream modelling needs

Data Analysis & Computational Modelling

Analyse large-scale neural and behavioural datasets

Build and apply computational models to characterise neural and behavioural dynamics

Validate findings and communicate results clearly to the broader research team

Neuroscience → AI Translation

Partner with the ML team to translate biological findings into model design choices

Help define what neurobehavioural data and features are most valuable to capture

Contribute to internal research direction connecting neuroscience and foundation model development

Requirements

Core (essential)

BSc/MSc in neuroscience, behavioural sciences, or a related field, with hands-on experimental research experience.

Preferred: PhD and experience with in vivo electrophysiology and behavioural neuroscience experiments

Strong data analysis skills, including experience with Python or a similar language

Able to design rigorous experiments and think critically about data quality

Excellent communication; comfortable working cross-functionally with engineering and ML teams

Valued (or willing to learn)

Experience with large-scale or multi-modal neurobehavioural datasets

Familiarity with machine learning fundamentals or foundation model training

Experience with computational modelling of neural or behavioural data

Prior work bridging neuroscience and AI/robotics research

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