Be part of a revolution - Join the AI & Robotics team at Örebro University (see https://www.oru.se/jointheAIteam)
The goal of the PhD project is to investigate how to develop systems that learn and reason in an artificial intelligence and autonomous systems context. While there has been a lot of progress on both machine learning and machine reasoning, their integration remains a key open challenge in artificial intelligence and autonomous systems. The distinction between learning and reasoning is related to the differences between fast and slow thinking, between data-driven and knowledge-based approaches, and between symbolic versus subsymbolic representations. The project will build upon probabilistic (logic) programming and neuro-symbolic computation, which are different paradigms for integrating learning and reasoning. The former integrates logical and probabilistic graphical models, the later logical and neural approaches. The goal of the project is to develop probabilistic programming and neuro-symbolic approaches and systems, and apply them to autonomous sensor systems. The project is part of the Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden’s largest ever individual research program, and a major national initiative for strategically basic research, education and faculty recruitment. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. For more information about the research and other activities conducted within WASP please visit: http://wasp-sweden.org/. The PhD students will belong to the graduate school within WASP, which is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of AI, autonomous systems and software. The curriculum provides the foundations, perspectives, and state-of-the-art knowledge in the different disciplines taught by leading researchers in the field. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry. For more information on the graduate program within WASP, read more at https://wasp-sweden.org/graduate-school/. The researchers will be affiliated with the research Centre for Applied Autonomous Sensor Systems (AASS, http://www.oru.se/aass), which carries out multi-disciplinary research at the intersection of robotics, machine learning, artificial intelligence, computer vision, computer science, and measurement technology. The project will be supervised by Prof. Luc De Raedt, who is a Wallenberg guest professor at Örebro University. For more information, see https://www.oru.se/jointheAIteam or contact Prof. Luc De Raedt (luc.de-ra...@oru.se<mailto:luc.de-ra...@oru.se>), who will supervise the students and post-docs, or Prof. Lars Karlsson +46 19 303355 (lars.karls...@oru.se<mailto:lars.karls...@oru.se>).
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