Type: Fixed-term or Full-time

Location: London · On-site · May require occasional travel

Compensation: £65–85k/year, in accordance with experience

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.

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

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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