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 centre 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 architecture, industrial management, urban planning, history and philosophy.
Third-cycle subject: Computer Science
KTH Electrical Engineering and Computer Science (EECS) announces a Ph.D. position in the area of machine learning for underwater robot perception at the department of Robotics, Perception, and Learning (RPL) https://www.kth.se/rpl/. This position is funded by SSF through the Swedish Maritime Robotics Centre (SMaRC). More information on SMaRC can be found here: http://smarc.se/
The research position is a 48 month time-limited position that will be extended up to a year dependant on 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 candidate to start as soon as possible.
AUV Perception and Navigation: The student will join the team working in the Swedish Marine Robotics Centre, SMaRC. The specific goal is to use machine learning on sonar data to build representations of the seafloor that will allow recognition and alignment using sonar. These will be integrated into both localization and SLAM implementations on the SMaRC platforms.
Supervision: The doctoral student will be supervised by Associate Professor John Folkesson
What we offer
To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:
In order to succeed as a doctoral student at KTH, you need to be goal-oriented and persevering in your work. The selection process will be based upon the following other abilities of the candidates:
After the qualification requirements, great emphasis will be placed on personal qualities and personal suitability.
Target degree: Doctoral degree
Information regarding admission and employment
Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years ' time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time.
You will find contact information for union representatives on KTH's website.
Doctoral section (Students’ union on KTH Royal Institute of Technology)
You will find contact information for the doctoral section on the section's website.
Apply for the position and admission through KTH's recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.
Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/central European Summer Time).
Applications must include the following elements:
Gender equality, diversity and zero tolerance against discrimination and harassment are important aspects of KTH's work with quality as well as core values in our organization.
For information about the processing of personal data in the recruitment process please read here.
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Disclaimer: In case of a discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.
Type of employment: Temporary position longer than 6 months
|Title||Doctoral student in Machine Learning for Underwater Robot navigation|
|Employer||KTH Royal Institute of Technology|
|Job location||Valhallavägen 79, 100 44 Stockholm|
|Published||February 14, 2020|
|Application deadline||April 9, 2020|
|Job types||PhD  |
|Fields||Artificial Intelligence,   Machine Learning  |