We are seeking a motivated and collaborative individual to join our team as a Research Associate in Multi‑Array Sensing System for Non‑Ferrous Obscured Waste (MASSNOW). This role offers an exciting opportunity to contribute to the development of a real‑time vision system (RGB+NIR) for recognising or differentiating common shapes in scrap metal, followed by integrating multimodal information (magnetic and vision) for optimal detection, within a dynamic and inclusive environment.
Responsibilities
- Develop short‑to‑medium term research objectives and work plans for the project under the original proposal, with the assistance of supervisors.
- Conduct individual and collaborative research and system development for the project.
- Translate knowledge of advances in the subject area into research activity.
- Pro‑actively engage with industry to understand sector needs and identify opportunities for impact.
We welcome candidates who bring diverse perspectives, experiences, and approaches to their work.
Essential Criteria
- Relevant background or experience in engineering and software development.
- Experience in research methods and techniques to work within established research programmes.
Desirable Criteria
- Knowledge and skills in imaging or image processing.
- Knowledge and skills in Python and C/C++ programming on GPUs.
Benefits
- Generous employer contribution pension.
- 29 days annual leave plus bank holidays, along with Christmas closure.
- Ride to work and EV car scheme available.