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
MSc Degree in Computer Science, Informatics Engineering, Data Science, Bioengineering, Applied Mathematics or Oncology.
Minimum profile required
MSc Degree in Computer Science, Informatics Engineering, Data Science, Bioengineering, Applied Mathematics or Oncology. Enrollment in a PhD program. This condition will be verified by the date of the signature of the contract and not on the date of application.
Preference factors
Previous experience in biomedical image and signal processing Previous experience in technology transfer processes in biomedical tecnologia
Application Period
Since 05 Feb 2026 to 18 Feb 2026
[Open soon]
Centre
Biomedical Engineering Research