Research Engineer – Computer-aided detection and diagnosis
Research Engineer – Computer-aided detection and diagnosis (m/f)
MeVis Medical Solutions AG is currently one of the world’s leading independent manufacturers of innovative, high-quality software products for image-based medicine. MeVis products provide physicians with diagnostically relevant information, tailored to specific diseases and organs in optimized workflows, so that they can display, analyze, and apply this information for detection, diagnosis, treatment and intervention. To strengthen our position as the leading institution for computer-assisted multi-modality breast cancer imaging, we are seeking candidates for the position of a research engineer conducting related research and software development. The initial position will be embedded in a European research network consisting of several clinical, academic and industrial partners, which aims at improving breast cancer diagnosis by integrating the information from new innovative imaging modalities. The position will be embedded in the research project “Highly Accurate Breast !
Cancer Diagnosis through Integration of Biological Knowledge, Novel Imaging Modalities, and Modelling” funded by the European Union. The project aims at improving breast cancer diagnosis by integrating the information from new innovative imaging modalities.
Your duties and responsibilities:
* You will carry out software development and research in the area of medical image processing with a focus on computer-aided detection and diagnosis.
* You will work in a team with research scientists and engineers at MeVis Medical Solutions and MeVis Research on new innovative techniques and software products for visualization, analysis and assessment of multi-modal image data.
* You will be jointly responsible for the creation of a software prototype that integrates newly developed techniques (e.g. for image registration, segmentation or computer-aided detection) into a next generation clinical workstation for multi-modal breast cancer imaging.
* You will keep contact and closely collaborate with the involved clinical partners and research institutes.
The ideal candidate should have…
* a Master (Ph.D. is a plus, but not a prerequisite) in Computer Science or a related discipline, e.g. Biomedical Engineering, Physics or Mathematics.
* Profound knowledge and prior experience in software development in an object-oriented environment (ideally C/C++) is required.
* Prior experience and knowledge in medical image acquisition, processing and visualization is preferred. Knowledge in pattern recognition and/or computer-aided diagnosis in radiology or oncology would definitely be a plus.
You should be an effective team player with excellent interpersonal and communication skills. At the same time, you should be able to work independently and self-motivated on assigned tasks. German language skills are not a mandatory prerequisite but candidates should be willing to learn German.
Employment location: Bremen, Germany
Type of employment: Full-time
Interested? Submit your application online to bewerbung@mevis.de
Scholarship Tags: aided, Computer, detection, diagnosis, Engineer, research
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