Computer Engineering, with a focus on computer vision applied to digestive endoscopy
[Open soon]
Work description
The GATE project (GenerAlizable and Trustable computer assisted upper gastrointestinal Endoscopy) is a partnership between INESC TEC and IPO Porto and aims to research, develop and implement computer vision algorithms in a hospital environment to support the management of gastric cancer. More specifically, we intend to evolve algorithms that detect and quantify the presence of intestinal metaplasia in a gastrointestinal endoscopic examination, so that the results are not only accurate, but also reliable and generalise well between different clinical environments. Understanding the average performance of algorithms is not enough to develop trust in an AI system. Reliability assessment approaches such as local fit and density principles try to address the problem of uncertainty in deep neural networks, enabling us to estimate the reliability of a single decision of this algorithm. Regarding generalisation, recent self-supervised learning paradigms have strong synergies with the multi-centric datasets of GATE, enabling the exploration of new approaches.
Academic Qualifications
Degree in Computer Science, Informatics Engineering, Data Science, Bioengineering or Applied Mathematics.
Minimum profile required
Degree in Computer Science, Informatics Engineering, Data Science, Bioengineering or Applied Mathematics.Enrollment in a doctoral program is a requirement that will be reviewed during the interview.
Preference factors
Previous experience in biomedical image and signal processing Previous experience in computer vision
Application Period
Since 06 Nov 2025 to 19 Nov 2025
[Open soon]
Centre
Biomedical Engineering Research