Area of Uncertainty-aware Visual Artificial Intelligence

Work description

We are looking for a Research Assistant of Visual Artificial Intelligence (VAI) with a focus on Uncertainty to join our new interdisciplinary research group on VAI. The Researcher will develop more robust decisions supported in complex and high-dimensional visual data in a variety of tasks: 2D/3D image classification, semantic segmentation of 2D images and 3D point clouds, object detection and tracking, biomarker selection, and more. For all these problems, uncertainty estimation of the predictions generated by VAI is crucial. Other challenges in IAV that are particularly relevant for visual data include explainability, domain adaptation, transfer learning, data augmentation, and few-shot learning. The Researcher will collaborate with colleagues from various organizations that generate data, such as in the life sciences, biometrics, and autonomous driving, as well as with experts from our group who have in-depth knowledge of these types of data. Specifically, given the institutional proximity, the Researcher will actively collaborate with the Department of Electrical and Computer Engineering at FEUP in interdisciplinary research in VAI. This close collaboration reflects the strong emphasis that INESC TEC places on fostering research between both institutions. The Researcher will work on the interface between engineering and AI, and will stay updated about new developments on VAI field through its AI community. As an Assistant Researcher at INESC TEC is expected to: • actively participate in research in the field of uncertainty-aware VAI (uVAI), preferably with a focus on medical applications and autonomous driving; • engage in supervising and mentoring in the field of uVAI, VAI and AI; • develop uVAI methods with your team, measure and adapt VAI methods to data from medical applications and autonomous driving; • raise funds for the development of current and new lines of research within the scope of this job description; • participate in and/or lead research and/or innovation projects in the fields of uVAI, VAI, and AI; • supervise BSc/MSc students and PhD students. The focus of activity is on research that makes a significant contribution to the UN Sustainable Development Goals. Duties will also include publishing research results in reputable international journals and conference proceedings in the field, preparing patent applications and working with IP representatives to finalize patent texts, assisting in the management of approved projects, including the preparation of project proposals and the organization of conferences and scientific events. The role involves working with academic and industrial partners at national and international level. A key requirement is well-documented experience as evidenced by high quality publications.

Academic Qualifications

The ideal candidate is expected to possess a Ph.D. in Electrical and Computer Engineering or a related field, with a specialization in computer vision and artificial intelligence, and a strong background in statistics.

Minimum profile required

Candidates should possess strong track record for publication and be ready to lead theirown research groups independently. They are expected to plan and conduct research and developextramurally funded research programs involving students. Candidates are also expected to publishpeer-reviewed journal articles in high impact journals or broad artificial intelligence or closely relatedfields. Candidates are also expected to contribute to the growth of the research group at INESC TEC,including but not limited to student recruitment/advisement, senior project supervision, internshipopportunities, research experiences for undergraduates, etc.

Application Period

Since 18 Jul 2025 to 31 Jul 2025

[Closed]

Centre

Telecommunications and Multimedia