Projeto PRR

Sumário

Job descriptionWe are looking for an Assistant Professor of Visual Artificial Intelligence with a focus on Explainability to join our new interdisciplinary research group on Visual Artificial Intelligence (VAI) . You will develop novel methods and techniques for explainable artificial intelligence that can help to understand and interpret the 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, the explainability of the predictions generated by VAI is crucial. In addition, standard explainability solutions such as Lime and SHAP are often insufficient because the features used for learning are difficult to interpret. Other VAI challenges that are of particular importance for visual data are domain adaptation, transfer learning, dealing with missing data, data augmentation and few shot learning. You will collaborate with colleagues from the applications that generate data, such as life sciences and autonomous driving , and with experts in our group who have a deep understanding of the data. The Interdisciplinary Research Group on VAI Technology is a new research group between FEUP´s Department of Electrical and Computer Engineering and INESC TEC. The group is the result of the great importance FEUP places on fostering research between the institutions. Together with the members of the group, you will work at the interface between engineering and AI. An important role for you will be to connect the Visual AI Technology group to new developments in the AI community through your network of collaborators. As an Assistant Professor in our department:- you are expected to actively participate in research in the field of explainable AI, preferably with a focus on life sciences and autonomous driving;- you are expected to engage in teaching and mentoring in the field of VAI and AI;- you are encouraged to develop (explainable) VAI methods with your team, measure and adapt VAI methods to data from life sciences and autonomous driving;- to raise funds for the development of new lines of research;- develop, coordinate and teach courses in our BSc and/or MSc programs and 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. Teaching experience in engineering programs is desired. Scientific Profile: 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 . Candidates should possess strong track record for publication and be ready to lead their own research groups independently. They are expected to plan and conduct research and develop extramurally funded research programs involving students, which is essential for tenure and promotion. Candidates are also expected to publish peer-reviewed journal articles in high impact journals in visual artificial intelligence or closely related fields. In addition to teaching and student-engaging research duties, candidates are also expected to contribute to the growth of the programs, including but not limited to curriculum development, program assessment, student recruitment/advisement, senior project supervision, internship opportunities, research experiences for undergraduates, etc. RationaleThe position focuses on a specialist in visual artificial intelligence , aligning with the growing relevance of computer vision in various domains. FEUP and INESCTEC have already accumulated a strong training and scientific capacity in the computer vision field, dispersed however over multiple organizations and programmes, without forming a coherent organism. Additionally, the north of Portugal is the home of multiple companies in the field, providing a strong opportunity to establish the path from basic research to technology transfer and societal impact. The new interdisciplinary research group on Visual Artificial Intelligence (VAI) aims to promote the orchestration of computer vision and pattern recognition skills within FEUP and INESC TEC, with a special focus on research and the structured training of highly skilled ungraduated students and early-stage researchers.