Research Assistant [ML & hardware benchmarking for real-time acoustic monitoring of the environment] in Cardiff

If selected for this job as a research assistant, you will support the development and evaluation of low-cost, low-power, high-performance hardware and software for scalable, real-time passive acoustic monitoringof birds in the natural environment.

Your work will be carried out as part of an ESPRC-funded project in collaboration with the UK Centre for Ecology & Hydrology and WildSonic AI.

Youwill jointhe project for 1 day/week for 12 weeks during the final 3 months of the project.

Youwill focus on validation and benchmarking of the firmware, machine learning models, and hardware(e.g., by writing and using repeatable test scripts, conducting energy and latency measurement, comparing against existing open-source baselines, and collating results and partner feedback). On the way, you will learn about machine learning, embedded systems, and the path from a prototype to a product. You will work with the partnersto demonstrate (near) real-time monitoring in real-world deployments in the UK andoverseas. Finally, youwill work towards achieving impact with the project, e.g., by (co-)publishing reproducible technical documentation and a project report.

As a successful candidate, you will likely have interest in and experience with multiple (but not necessarily all) of the following aspects:

• Machine learning, AI,
• Embedded systems, microcontrollers, electronics, sensors,Internet of Things, wireless communication,
• A programming language,
• Scientific work, scientific/technical writing, and
• The natural environment.

Please note that you will have to carry out some of the work in the Physical Sensing Lab in the Abacws building - this job cannot be completed entirely remotely.

The position my close before the advertised closing date if a suitable candidate is identified.