PRR Project

Summary

This position targets one Early Career Researcher (ECR) in Assistive Intelligent Systems, with a strong background in Intelligent Systems and Robotics and expertise in areas that include robot perception, planning and control, computer vision, machine learning, or human-robot interaction.Suitable candidates are expected to conduct high-profile scientific research to advance the state of the art in intelligent systems with applications to healthcare and accessibility and a specific focus on developing AI and/or robotic systems that can assist individuals with disabilities in tasks such as mobility, manipulation, and communication.Assistive technologies, and in particular Assistive Robotics, are emergent areas with great potential in healthcare and inclusion. Designing robotic systems with stakeholders has a much higher potential to create usable technologies and nearly ready-to-use prototypes.The admitted candidate is expected to successfully integrate interdisciplinary teams of computer scientists, engineers, and UI/UX experts at LASIGE who, together with healthcare professionals, patients, caregivers and other stakeholders, will cooperate to develop and evaluate novel robotic/intelligent systems that aim to assist individuals with disabilities in various daily tasks.Candidates should have a strong publication record in top-tier journals and conferences. Experience in writing grant proposals to secure funding for future research initiatives will be much valued. They should be able to present research findings effectively in oral and written form and actively participate in international fora in the field, such as renowned conferences, high-tier workshops or thematic schools.The successful candidate will be expected to mentor and supervise MSc and PhD students, in alignment with LASIGE’s core objectives of developing a scientific culture that promotes excellence, while maintaining a healthy research environment. Moreover, they will be responsible for teaching advanced courses in Intelligent Systems, Robotics and Artificial Intelligence, and previous teaching experience will be valued, in particular, experience in designing hands-on laboratory activities and seamlessly integrating novel scientific developments in both first and second-cycle curricula.