Research Engineer – Diagnostics of Electrode Neural interface
Cochlear
Change people’s lives and love what you do! Cochlear develops world-leading medical devices that help people hear. As a top 100 medical device company and market-leader in implantable hearing devices, more people choose a Cochlear-branded cochlear implant system than any other. Our employees tell us that the number one reason they enjoy working for Cochlear is the opportunity to make a difference to people’s lives.Within the Advanced Innovation division, the Advanced Algorithms team matures concepts and ideas in the area of algorithms (electrical and acoustical sound coding, objective measures, clinical workflow, monitoring and troubleshooting, data science, control algorithms) and applications (user interfaces, surgical applications, clinician applications and user engagement) to a level where they are ready for implementation by the Product Development teams. The A&A team is responsible for the development of next generation algorithms and applications that can fuel continuous as well as disruptive growth for the company.The Diagnostics of Electrode Neural Interface (ENI) research engineer role is part of the A&A team in Belgium working on Diagnostics and Aftercare models for the next generation of cochlear implants and new stimulation paradigms. This role is integrated in an interdisciplinary working group in collaboration with internal researchers, engineers and external partners at KU Leuven.This role will focus on the diagnostics of cochlear neural health. It requires deep understanding of electrode-tissue interface, excellent knowledge of objective measures and algorithms design.
The ENI Diagnostics research engineer will apply explorative research and data analysis in the objective measures domain.The ultimate goal is to develop a diagnostic toolbox that characterizes the recipient’s neural health and its correlation with the access and effective use of independent stimulation channels. The engineer will be responsible for defining and designing comprehensive measurement paradigms and exploring tools. This includes creating objective measures and algorithms prototypes, as well as supporting data collection and analysis processes. Consequently, the engineer will collaborate with clinical staff to design and execute clinical studies required to validate the new methods.
Additionally, the research engineer will assist in the implementation, testing, and documentation phases.
An affinity for the hardware-software interface and a basic understanding of software technology are advantageous.Requirements:KnowledgeMaster’s degree in biomedical engineering or related sciences, ideally PhDGood knowledge of hearing device technology, psychoacoustics, electrophysiology (basic), objective measures and associated algorithmsGood written and verbal communication skills in EnglishInnovation processesExperienceExperience with conducting research, research grants or working with a research communityExperience with objective measures and algorithm designExperience with the setup and conduct of clinical studies, including the current ethical and regulatory environment
Malines, Anvers
Sat, 21 Dec 2024 05:52:47 GMT
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