The School of Computer Science and Communication at the KTH Royal Institute of Technology announces multiple Ph.D positions in several areas of Robotics at the department of Robotics, Perception and Learning (RPL).
KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key center of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as in architecture, industrial management, urban planning, history and philosophy.
The scientific work will be conducted in the scope of one of the following collaborative projects:
** Long-term human-robot interaction. This project aims to develop socially autonomous robots that can interact with people over weeks and months in real-world environments such as offices, schools or factories. We explore this from both a computational and a user-centered perspective. The candidate will work under the supervision of Assistant Prof. Iolanda Leite (https://iolandaleite.com/).
** Object grasping and manipulation. We are looking for a student who will investigate novel methods in robotic grasping and manipulation using learning techniques and control. The candidate will join the group of Prof. Danica Kragic (www.csc.kth.se/~danik/<http://www.csc.kth.se/~danik/>).
** Formal methods-based planning and control. The goal of this project is to develop novel planning, decision making, and control algorithms for autonomous systems that are subject to complex behavior specifications. In particular, we investigate formal methods-based approaches and automatic synthesis of provably correct-by-design plans and controllers. Applications of the research include, but are not limited to, robot task and motion planning, and autonomous driving. The candidate will work under the supervision of Assistant Prof. Jana Tumova (https://people.kth.se/~tumova/).
** Autonomous Navigation and Perception for Underwater Robots. These positions are funded by the Swedish Marine Robotics Center (SMARC). The goal here is developing algorithms for autonomous underwater vehicles (AUV). End users are represented within SMARC by polar ice researchers, wanting to operate long distances under ice shelves, a marine survey company (MMT) needing to build detailed 3D reconstructions underwater, and a marine farming project needing monitoring of large marine cultivations. The candidate will work under the supervision of Associate Prof. John Folkesson (https://www.kth.se/profile/johnf/).
** Autonomous Planning and Decision Making for underwater robots. This position is funded by the Swedish Marine Robotics Center (SMARC) and concerns AI, control and decision making for one or more marine robots performing a mission. By combining methods such as multi agent coordination, planning and learning, we will strive to achieve robust and efficient execution of the underwater missions. The candidate will join the group of Associate Prof. Petter Ögren (https://www.kth.se/profile/petter/).
This is a four-year time-limited position that can be extended up to a year with the inclusion of a maximum of 20% departmental duties, usually teaching. In order to be employed, you must apply and be accepted as a doctoral student at KTH. The starting date is open for discussion, though ideally we would like the successful candidates to start as soon as possible.
A Master's degree in an area such as Computer Science, Electrical Engineering, Informatics or related fields. Documented written and spoken English and programming skills are required. Experience with robotics, computer vision, control systems, machine learning or experimental design is an important asset. Applicants must be strongly motivated for doctoral studies, have the ability to work independently and perform critical analysis and also possess good levels of cooperative and communicative abilities.
HOW TO APPLY
The application should include:
1. Curriculum vitae.
2. Transcripts from University/ University College.
3. Brief description of why the applicant wishes to become a doctoral student.
The application documents should be uploaded using the KTH's recruitment system. More information on the link below:
The application deadline is ** April 30, 2017 **
KTH Royal Institute of Technology
School of Computer Science and Communication
Department of Robotics, Perception and Learning (RPL)
Teknikringen 14, 6th floor, SE-100 44 Stockholm, Sweden
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