The Diagnostic Image Analysis Group (DIAG) of the Radboud University Medical Center, Nijmegen, The Netherlands, is seeking a research software engineer to join our growing team. This is an excellent opportunity to have an impact on the field by translating our state-of-the-art deep learning research in ophthalmology into robust software that could be integrated into the ophthalmologists workflow.
In this position, you will be responsible for leading the development and managing the full lifecycle of our ophthalmology workstation. This includes understanding user needs, creating requirements, developing the workstation, integrating algorithms, automating tests, writing documentation, releasing, supporting users, maintenance and publication in peer-reviewed journals. You will work in the RSE team of DIAG, and work in close collaboration with deep learning algorithm developers and end users. You will be supervised by James Meakin, Clarisa Sánchez and Caroline Klaver.
You should have an MSc or PhD degree in Computer Science, Physics, Biomedical Engineering or another technical field or equivalent practical experience.
Upon commencement of employment we require a certificate of conduct (Verklaring Omtrent het Gedrag, VOG) and there will be a screening based on the provided CV. Radboud university medical center's HR Department will apply for this certificate on your behalf.
Read more about the Radboudumc employment conditions
and what our International Office
can do for you when moving to the Netherlands.
We offer a challenging research environment in a growing international research group with ample opportunities to further develop your skills.
All additional information about the vacancy can be obtained from Dr. James Meakin
, leader Research Software Engineering team. Use the Apply button to submit your application.
Applications will be reviewed on an ongoing basis until the position is filled
.Recruitment agencies are asked not to respond to this job posting.