Contribute to the hardware and software development of ecoPi, OekoFor’s intelligent audio recorder for automated environmental monitoring.
- Develop and maintain R Shiny applications for acoustic and ecological monitoring data.
- Build dashboards, interactive maps, detection-review tools and environmental sensor interfaces.
- Improve ecological data pipelines, APIs, application performance and device-status monitoring.
- Contribute to the testing and development of ecoPi field hardware.
- Translate ecological monitoring requirements into practical software and hardware features.
Technologies: R, Shiny, JavaScript, HTML, CSS, Bootstrap, APIs, Docker and Git.
Design and develop a low-cost environmental monitoring system for ecological research in solar biodiversity landscapes.
- Develop ESP32-based environmental sensor nodes and a central communications hub.
- Design firmware, custom PCBs and low-power data-logging systems.
- Integrate microclimate, soil, spectral and wind sensors.
- Develop wireless communication, remote data transfer and device-management tools.
- Plan sensor calibration, validation and field testing.
Technologies: ESP32, embedded C/C++, ESP-NOW, Wi-Fi, LTE, PCB design, React, TypeScript, Supabase and PostgreSQL.
Worked within an eight-person conservation team delivering habitat restoration and ecological monitoring.
- Identified native and invasive flora and fauna.
- Conducted invasive-species control and bush-regeneration work.
- Supported bird surveys and ecological management planning.
- Monitored Glossy-black Cockatoo nesting sites.
- Deployed acoustic recorders and analysed recordings using BirdNET Analyzer, Raven Pro and R.
- Developed an automated AI acoustic-detection prototype for target-species monitoring.
Work in live sound, location recording and audio post-production, providing a technical foundation for passive acoustic monitoring, bioacoustics, microphone systems and ecological recording-device development.