Scientific Programmer / Researcher with extensive experience in digital image analysis (closed)

Job description

Within the discipline of diagnostic pathology, the feasibility of digitization of microscopic slide images has increased considerably over the last decade. It is now possible to scan an entire specimen in reasonable time at very high resolution. Resulting image data may e.g. be used for remote consultation of expert pathologists. Currently, we are setting up a project aiming at development of software for automated analysis (‘computer aided diagnosis’) of digital pathology images.

The software will apply advanced image analysis and data processing algorithms, and will be developed ‘open source’ in Java. For this project, we are looking for a programmer/researcher with extensive experience in digital image analysis.

Tasks and responsibilities

Design and implementation of software, as described in the project.

Requirements

Academic level in a technological subject (e.g. computer science, physics, mathematics), preferably holding a PhD degree Extensive experience in computer programming, knowledge of Java and MatLab is considered an advantage Verifiable knowledge of, and experience with digital image analysis Excellent use of English in writing and speech Conditions of employment

Schaal 10: max € 54906 gross per year at full employment

Contract type: Temporary, 2 years

Organisation

Radboud University Nijmegen Medical Centre (RUNMC) is a leading academic centre for medical science, education and health care. Knowledge forms the heart of our organisation, connecting research, education and patient care. Over 10,000 staff and 3,500 students are committed and ambitious to contribute to the future of health care and medical science. Driven by knowledge, empowered by people.

Department of pathology

Founded upon the endeavor of 150 dedicated employees, the department of pathology of the UMC St Radboud is committed to academic level patient care, education and research. Next to the traditional laboratory techniques (histology and cytology), our department is ‘state of the art’ in a number of advanced analysis techniques. Among others, we are part of the microscopic imaging centre (MIC), offering a spectrum of microscopic modalities such as two-photon microscopy, electron microscopy and confocal laser scanning. An important area of research within MIC is application of digital image analysis techniques to microscopic images. The current project will be performed in close collaboration with the Diagnostic Image Analysis Group (DIAG) Nijmegen.

Additional information

For further information you can contact Dr. Jeroen van der Laak, department of Pathology, Tel: +31 24-3614367. More information about employer Radboud University Nijmegen Medical Centre (RUNMC) on AcademicTransfer.