About this role
Description of Post
SensABLATE is a flagship collaborative research initiative funded under the Disruptive Technologies Innovation Fund (DTIF), bringing together academic, clinical, and industry partners to develop next-generation precision imaging technologies for lung cancer therapy. The project aims to deliver a transformative intraoperative decision-support platform by integrating advanced optical imaging with artificial intelligence to enable real-time tissue viability assessment and therapy guidance. Through SensABLATE, ATU will advance translational biophotonics and intelligent imaging platforms toward clinical deployment, strengthening Ireland’s position in next-generation medical device innovation.
The successful candidate will lead the design and development of prototype imaging systems and associated software platforms and work as part of a research team. The role involves close collaboration with AI researchers, optical engineers, clinicians, and industry partners to ensure robust system performance, regulatory alignment, and clinical usability.
Essential Qualifications
PhD in Engineering, Applied Physics, Computer Engineering, or a closely related discipline, or substantial and demonstrable cognate professional experience (minimum 7 years) at a senior research or engineering level, including leadership of applied R&D projects with industry and healthcare partners.
Proven track record of delivering applied technological solutions, including functional prototypes, demonstrators, translational systems, or commercially deployable platforms.
Evidence of high-quality outputs, such as peer-reviewed publications, technical reports, patents, industry-standard deliverables, or regulatory documentation.
Experience in supervising and mentoring junior researchers, engineers, or postgraduate students, and leading multidisciplinary project teams.
Excellent stakeholder engagement and communication skills, with a record of working effectively with SMEs, clinical collaborators, and innovation-focused organisations.
Advanced software engineering skills, including Python, C/C++, real time control systems, embedded programming, and GPU-accelerated computing.
Experience in hardware-software integration, including control of optical, imaging, and detection hardware systems.
Experience in system verification, validation, and troubleshooting of complex prototypes and imaging platforms.
Ability to plan, manage, and deliver project objectives within tight timelines and coordinate across multi-stakeholder teams.
Strong innovation and problem-solving skills, capable of translating experimental research into functional, deployable systems.
Commitment to high-quality documentation, technical reporting, and dissemination of project outputs.