Postdoctoral researcher in the area of endoscopic video enhancement

100%, Zurich, fixed-term

The enhancement of endoscopic videos is a critical yet complex task. These videos are integral to various clinical interventions, where the clarity of imaging data is essential for procedural success. Due to challenging imaging conditions, the quality of endoscopic videos can be significantly compromised by a range of artifacts. This project seeks to develop the next generation of enhancement algorithms tailored for endoscopic videos, with a focus on applications in real-time interventions. Development efforts will prioritize both enhancement quality and computational efficiency, particularly with respect to latency.

Project background

The successful candidate will join the BMIC team at ETH Zurich and also be a part of the Computer Vision Lab (CVL). The project is conducted in collaboration with an industrial implementation partner, who will provide support with hardware and software integration.

Job description

The position entails duties in three axes: (1) research, (2) teaching, and (3) supervision.

Research: The researcher is expected to conduct cutting edge research on analysis and enhancement of endoscopic videos. This entails development of new algorithms and methods, and software implementation of these developments. Maintaining an open communication and fostering the collaboration with the project partners. Completing the deliverables of the project.

Teaching: The researcher will have the opportunity to contribute to the courses taught by the members of the BMIC group, including Image Analysis and Computer Vision and Medical Image Analysis. Teaching is not a mandatory part of the position but rather an option given to the researcher.

Supervision: The researcher will be expected to contribute to the supervision of semester and master thesis projects, master of science students conduct in the department.

Profile

The ideal candidate will possess:

A PhD in electrical engineering, biomedical engineering, computer science, or a related discipline,
Experience in the analysis of endoscopic video data,
Expertise in image and/or video enhancement algorithms,
A strong interest in the development of real-time, low-latency algorithms,
A minimum of two first-author publications in top-tier venues such as IEEE Transactions on Medical Imaging, Medical Image Analysis, MICCAI, IPMI, CVPR, ICCV, NeurIPS, ICLR, or ICML,
Excellent written, verbal, and presentation skills in English.

Workplace

We offer

An opportunity to further your scientific career at a leading academic institution
Access to industry-scale medical data and close collaboration with industry leaders and medical experts
Competitive salary for postdoc positions
Excellent working conditions
A chance to work in a stimulating environment as part of a multi-cultural research team
Exposure to both academia and the industry world
High quality of life in one of the world’s most livable cities

Working, teaching and research at ETH Zurich

We value diversity

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

Curious? So are we.

We look forward to receiving your online application with the following documents:

your CV
Links to two articles in which you were the first author and you would like to highlight
contact details of two references and
a brief description explaining why you are interested in this position.

Further information about the Biomedical Image Computing group can be found on our website https://bmic.ee.ethz.ch/. Questions regarding the position should be directed to Prof. Ender Konukoglu, email: ender.konukoglu@vision.ee.ethz.ch.

We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.

About ETH Zürich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.