 | Two PhD student positions in Computer Science. These positions are in the area of hybrid knowledge representaiton and reasoning, planning and execution monitoring. |
| About the positions. The main task of the students will be to perform world-class research on hybrid knowledge representation and reasoning, and hybrid planning and plan execution monitoring, for robotic systems. Hybrid in this context means that the robot is capable of inferring new information about its environment from a variety of information of different nature. For instance, the robot will consider flexible temporal requirements (e.g., serving food while it is warm, but not too soon after the previous course) together with causal requirements (e.g., serving a meal satisfies the goal of feeding the guests) and resource constraints (e.g., dishes from the previous course must be cleared as space must be made for the new course). Such requirements should be upheld both during planning and on-line execution monitoring. The successful candidates will be employed as PhD students with Örebro University for an expected duration of three years. They will work within the local RACE team at Örebro University, under the supervision of Prof. Alessandro Saffiotti and Dr. Federico Pecora. They will also collaborate with the other European partners in RACE, both remotely and through physical meetings and research visits. A limited amount of teaching may also be part of the PhD student’s duties. The students will receive a monthly salary adequate to the cost of living in Sweden and will be included in the Swedish social security system. |
| About the RACE project. RACE, “Robustness by Autonomous Competence Enhancement”, is a European Union FP7 project. The overall aim of RACE is to develop an artificial cognitive system, embodied by a service robot, able to build a high-level understanding of the world it inhabits by storing and exploiting appropriate memories of its experiences. Experiences will be recorded internally at multiple levels: high-level descriptions in terms of goals, tasks and behaviours, and sensory and actuator skills at the lowest level. RACE will develop methods for conceptualizing acquired experiences so as to extend the robot’s planning and execution capabilities beyond preconceived situations. AASS’s role in RACE concerns (1) the development of knowledge representation and reasoning schemes suited for reasoning about multiple types of experiences; and (2) the use of this acquired and inferred knowledge for plan generation and execution. Constraint-based techniques will be explored for both representation and reasoning and planning/execution monitoring purposes, and in particular a meta-CSP approach for integrating temporal, resource, causal and spatial reasoning will be examined. The RACE consortium consists of six European partners: the University of Hamburg (Germany), the University of Leeds (UK), Örebro University (Sweden), the University of Osnabrück (Germany), the University of Aveiro (Portugal), and the technology transfer institution HITeC e.V. (Germany). |
| About the working place. Örebro University (www.oru.se) is a young university which currently enrolls more than 15,000 students. It is located in Örebro (www.orebro.se) a city of 130,000 inhabitants situated in central Sweden. The Center for Applied Autonomous Sensor Systems (AASS) is one of the Strong Research Environments at Örebro University. It carries out multi-disciplinary research at the intersection of robotics, computer science, machine learning and artificial intelligence. The research and human environment at AASS is young and enthusiastic. Researchers come from a dozen different countries, in Europe and worldwide, and have different scientific and cultural backgrounds. AASS also frequently hosts international researchers and is involved in several international projects. AASS is internationally renowned for its research in cognitive robotic systems. Further information about AASS and its Cognitive Robotic Systems Lab the can be found at http://aass.oru.se/and http://aass.oru.se/CRS/. |
| Prerequisites: In addition to a clear interest in one or more of the above research topics, the successful applicant must have a strong theoretical background in computer science, and solid programming skills. A Master’s in computer science, computer engineering or comparable field is required. We particularly seek candidates with experience in artificial intelligence, planning and constraint reasoning, and with inclinations towards cross-disciplinary research. Knowledge of the Swedish language is not required, but proficiency in written and spoken English is mandatory. |
| Application process: To apply for a position, please send a motivation letter along with an updated CV (including at least two academic references) by email to Prof. Alessandro Saffiotti (alessandro.saffiotti AT aass.oru.se). Applications can be sent immediately and until October 15, 2011. We are looking forward to receiving your application! |
