The Diagnostic Image Analysis Group (DIAG) of the Radboud University Medical Center, Nijmegen, The Netherlands, is seeking a research software engineer to …
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.
We're looking for a self-motivated research software engineer with an interest in medical imaging and excellent communication skills in English. You should have experience with developing software that is used by others, any experience developing scientific software or open source software is a plus. You should be experienced in at least one high level programming language, preferably Python. You should be familiar with web technologies, and it would be advantageous if you have developed a server-side application or have experience with JavaScript, Qt, MeVisLab, WebSockets, and/or Docker.
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