Lead Mechatronics and Systems Engineer - Preclinical Research
Netholabs · London
What this role requires
5 requirements, read out of the advert rather than guessed from the job title:
- human motion capture
- multi-camera calibration
- time synchronization
- hardware troubleshooting
- embedded systems
Also mentioned, not required: Python. Worth having, but their absence is not what gets a CV filtered out.
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Job description
Type: Fixed-term or Full-time
Location: London · On-site · May require occasional travel
Compensation: £65–85k/year, in accordance with experience
The Role
We are building integrated human and non-human motion-capture and neurophysiological recording systems for both controlled lab studies and naturalistic, in-the-wild data collection.
We are looking for an experienced researcher engineer that is hands-on to own the London capture site across both lab and field settings: set up and run the hardware, import and enforce best-practice capture protocols, and ensure every session executes reliably and reproducibly. This is an operational role: you'll take defined capture standards and make them run at scale, not design the science.
Read the full description (30 more sections)Show less
Responsibilities
Experimental Operations
Implement and maintain streamlined, minimal capture protocols
Import and operationalize best-practice standards for human mocap
Prepare and run recording sessions
Maintain clear SOPs and documentation
Ensure sessions are reproducible and well logged
Hardware & Systems
Set up and maintain motion-capture and neurophysiological recording systems
Integrate all devices on a shared clock (video, kinematics, physiological streams)
Troubleshoot signal, sync, and capture-quality issues
Assemble and maintain multi-camera / multi-sensor rigs
Manage equipment inventory, calibration, and camera setup
Infrastructure
Oversee lab layout and capture-space setup
Maintain structured data storage, formats, and backups
Coordinate procurement and supplier communication
Requirements
Core (essential)
Experience with human motion capture (marker-based, markerless/computer-vision, or IMU-suit systems)
Multi-camera calibration and time synchronization
Strong hardware troubleshooting ability
Comfortable with embedded systems
Basic Python scripting
Organized and systematic; disciplined about documentation and reproducibility
Valued
Hand / finger kinematics capture and video pipelines
Structured data formats (e.g. HDF5) and reproducible data logging
Experience with physiological recording systems (EEG or similar), or willingness to cross-train
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