Doctoral student in computer science
Örebro universitet / Högskolejobb / Örebro
2021-10-14
Observera att sista ansökningsdag har passerat.
➡️ Klicka här för den senare publicerade platsannonsen "Doctoral student in computer science" (publicerad 2023-09-21) ⬅️
Visa alla högskolejobb i Örebro,
Kumla,
Hallsberg,
Nora,
Lindesberg eller i
hela Sverige Visa alla jobb hos Örebro universitet i Örebro,
Karlskoga,
Hällefors,
Karlstad,
Stockholm eller i
hela Sverige Örebro University and the School of Science and Technology are looking for a doctoral student for the doctoral programme in computer science, concluding with a doctoral degree.
Start date: spring 2022.
The offered position is part of the new European research and innovation project DARKO, to be coordinated by Örebro University through 2021-2025.
This is a shortened version of the advertisement. You can find more information here.
Project description
The topic for this position is aligned with contemporary research topics in mapping and localisation for autonomous mobile robots. Specific research questions may include (1) combining maps from different sources in order to bootstrap the mapping process and make it faster and more reliable, and to share information between different representations, (2) 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 (3) 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 partners.
The successful candidate is autonomous, shows strong and independent problem-solving skills 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 are a keen interest in mathematics, computer science, and robotics. Prior knowledge in modern machine learning techniques and probabilistic methods is beneficial. Experience with autonomous robots and relevant software frameworks are other valuable merits.
Supervision: The doctoral student will be supervised by Dr Martin Magnusson and Professor Achim J Lilienthal.
Information
For more information about the programme and the doctoral studentship, please contact Prof. Achim J. Lilienthal (
achim.lilienthal@oru.se) and Dr. Martin Magnusson (
martin.magnusson@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
• CV
• 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 -maximum 2 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.When you apply for admission, you automatically also apply for a doctoral studentship.
The application deadline is 13 December 2021. We look forward to receiving your application!
We decline any contact with advertisers or recruitment agencies in the recruitment process.
Varaktighet, arbetstid
Deltid/ Ej specificerat
Publiceringsdatum2021-10-14ErsättningIndividuell lönesättning tillämpas
Så ansöker duSista dag att ansöka är 2021-12-13
Klicka på denna länk för att göra din ansökanFöretagÖrebro Universitet
Omfattning Detta är ett deltidsjobb.
Arbetsgivare Örebro Universitet (org.nr 202100-2924),
http://www.oru.se/ Jobbnummer 6042374
Observera att sista ansökningsdag har passerat.