The offered position is part of the new European research and innovation project DARKO, to be coordinated by Örebro University.
The topic for this position is aligned with contemporary research topics in mapping and localisation for autonomous mobile robots. Specifically, the successful candidate will be expected to contribute to research on (1) representing and using maps of dynamics for ”flow-aware” robots that can learn, e.g., how people tend to move, and plan their motions to move safely and efficiently together with people; and (2) reliability-aware mapping and safe localisation, enabling robots to better self-monitor the quality of their mapping and localisation systems.
Research in this project will be performed in close interaction with other doctoral students and senior researchers at Örebro University, and will also involve substantial collaboration with our international and national research partners from academia and industry.
The successful candidate is autonomous, shows strong and independent problem solving and critical analytical abilities. Furthermore, the candidate has the ability to co-operate and possesses personal maturity. Fluent spoken and written command of English is essential, while knowledge of Swedish is not necessary. Excellent programming skills are also required, as in a keen interest in mathematics, computer science, and robotics. Prior knowledge in probabilistic methods is beneficial. Experience with robotic sensing and control, machine learning, and relevant software frameworks are other valuable merits.
Supervision: The doctoral student will be supervised by Dr Martin Magnusson and Professor Achim J Lilienthal.
The programme and the doctoral studentship
The position is with the Centre for Applied Autonomous Sensor Systems (AASS) at Örebro University and is funded through the DARKO research and innovation project (Dynamic Agile Production Robots That Learn and Optimize Knowledge and Operation). The doctoral student will belong to the MRO (Mobile Robotics and Olfaction) lab at AASS. The AASS centre (http://www.oru.se/aass) is a strong research environment and internationally known for its expertise within artificial intelligence and robotics. Nationally, the research in AI and Robotics at Örebro is leading, and this is evidenced by the University’s involvement in a number of high profile initiatives related to AI (see oru.se/ai). Örebro University is highly active in the relevant European forums and platforms, and several EU-funded research projects. Örebro University is a modern, broad-based, and growing university. We endeavor to be an attractive place of work where members of staff feel a sense of pride and satisfaction. Currently, 1,500 employees and 17,000 students come to work and study at Örebro University.
The doctoral programme consists of courses and an independent research project that you will present in a doctoral thesis. The programme concludes with a doctoral degree and comprises 240 credits, which corresponds to four years of full-time study.
Our ambition is for your doctoral studies to be stimulating and purposeful throughout the programme until you have obtained your doctoral degree. A thorough introduction will therefore get you off to a good start and provide a solid foundation on which you can build your studies. As a doctoral student at Örebro University, you will be offered a specially tailored seminar series, covering matters ranging from doctoral programme rules and careers to stress management and networking.
The place on the programme is linked to a full-time doctoral studentship for the duration of the study programme. More information on doctoral studentships, part-time studies and part-time doctoral studentships can be found in the Regulations Handbook. The initial salary for a doctoral studentship is SEK 28 100 per month.
The doctoral studentship is a tailored form of employment for students enrolled on a doctoral programme. It guarantees employment for the duration of the doctoral programme (given that the studies progress).
Entry requirements and selection
For admission to doctoral studies, applicants are required to meet both general entry requirements and specific entry requirements. In addition, applicants must be considered in other respects to have the ability required to benefit from the programme. For a full account of the entry requirements, refer to the admissions regulations as well as to annex 2 to the general syllabus for computer science.
Applicants meet the specific entry requirements for doctoral studies in computer science if they have been awarded a Degree of Master of Science in Engineering or a one-year Master’s degree from a programme within the subject field or related subjects, or if they have received a passing grade of at least 120 credits, including an independent project on the second cycle, in a main field of study of relevance to the computer science field. A person who has acquired substantially corresponding knowledge, in Sweden or abroad, also meets the specific entry requirements.
For more information about the programme and the doctoral studentship, please contact Prof. Achim J. Lilienthal (firstname.lastname@example.org) and Dr. Martin Magnusson (email@example.com) or Head of Unit Prof. Lars Karlsson +46 19303355 (lars.Karlsson@oru.se).
Örebro University actively pursues an equal work environment and values the qualities that diversity adds to our operations.
Application to the programme and for the doctoral studentship
The application is made online. Click the button “Apply” to begin the application procedure.
For the application to be complete, the following electronic documents must be included:
- The form Application for/decision on admission to research studies
- Certificate on completed higher education courses and study programmes, and if applicable a degree certificate
- Degree project/independent project
- Copies of relevant course/degree certificates and references verifying eligibility and criteria met
- Description of research interests – detailing the field of research you are interested in, including, if applicable, theoretical and methodological approaches (2-5 pages).
As a main rule, application documents and attachments are to be written in Swedish, Danish, Norwegian, or English. Documents in other languages must be translated by an authorised translator to Swedish or English. A list of authorised translators can be obtained from Kammarkollegiet (the Legal, Financial and Administrative Services Agency), www.kammarkollegiet.se/engelska/start.