Role overview
Job Summary
We’re looking for a highly skilled, innovative, and motivated Applied Scientist to deliver a fast, research-led project focused on mapping the perception stack and compute of self-driving autonomous systems examples and then using them to develop energy estimation models. The work blends literature review, dataset building, profiling experiments, and energy estimation models development.
If you enjoy taking a messy technical question, finding credible references quickly, validating assumptions with experiments, and turning it into a clear model and narrative, this is for you.
You will be put on an active project from day 1, so you are expected to get up to speed quickly and do significant contributions to the project within 1 month.
*What we’re looking for?
What we're looking for
- Experience with energy modelling.
- Experience with CUDA and GPU behaviours and performance limits
- Experience with machine learning model optimisation e.g. quantisation, pruning
- Robotics background (ROS2, perception pipelines, sensor fusion).
- Hands-on experience with Autoware (or similar autonomy stacks) and simulation workflows.
Job Types: Full-time, Fixed term contract
Contract length: 3 months
Pay: £35,000.00-£50,000.00 per year
Benefits:
- Flexitime
- Work from home
Ability to commute/relocate:
- Bristol BS34 8RB: reliably commute or plan to relocate before starting work (preferred)
Work authorisation:
- United Kingdom (required)
Work Location: Hybrid remote in Bristol BS34 8RB
Application deadline: 31/12/2025