The Biomedical Imaging Computing (BMIC) Group at ETH Zurich is looking for a research software engineer.
Research software engineer
BMIC group is developing novel algorithms for analyzing medical images. The methods cover a large span of applications from image reconstruction to extracting measurements useful for diagnosis and clinical research. The research engineer will provide software support for the researchers in the BMIC group and develop interfaces to translate the developed methods to our collaborators as well as for public distribution. The algorithms developed within BMIC are predominantly machine learning based medical image analysis methods that work with volumetric clinical scans. Our collaborators include clinicians as well as researchers working in various institutes across Switzerland, including USZ and PSI.

The responsibilites in this role are to design and implement software for making the research code available for our collaborators, help BMIC design a software infrastructure that will accelerate the research, and help managing the relationships with the collaborators. The position also comes with some flexibility in the design and implementation of the solutions.
The successful candidate has a Bachelor’s degree in electrical engineering, computer science or a related technical field. Individuals from different education backgrounds but with good coding experience and interest are also encouraged to apply. Prior experience in developing Python and C++ projects as well as excellent communication and writing skills in English are also expected.
Experience in image analysis, medical images, machine learning, and GUI design are preferrable.

The initial position
is for one year, an extension for another year is possible based on mutual agreement and further extensions are contingent upon funding. The research engineer will be a part of the BMIC group as well as the Computer Vision Laboratory at ETH Zurich, sitting at the offices in ETH Zentrum. Possibilities for partially remote work is also negotiable.
We look forward to receiving your online application with the following documents: CV, example of work, e.g. a github page, previous implementations, motivation letter and name of a referee via the following link: https://emea2.softfactors.com/job-opening/rgum-1QPrKEH8HCyQpevbfJ#/?lang=en. Please apply exclusively via the online application portal. Applications sent by e-mail or post will not be considered.

For further information,
please contact Ender Konukoglu at kender@vision.ee.ethz.ch (no applications).