PhD Candidate in robotics and perception
|Workplace||Stockholm, Södermanland, Sweden|
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KTH Royal Institute of Technology, EECSKTH 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.
Project descriptionIn this project we study mapping for robotics. The vision is a 3D grid representation maintained in real-time and capable of modeling a dynamic scene, including the moving objects. We will extend our work on UFOMap, which already provides an efficient way to manage data such as, e.g., occupancy and semantics. Some questions to address: How to model the dynamic information and incorporate measurements of this from various sources (optical flow, object trackers, etc)? How to enable predictions of future states? How to model the strong correlation between voxels but which is ignored in the standard grid formulation?
The position is at the division of Robotics, Perception and Learning (RPL).
See information about RPL.: ?url=https%3A%2F%2Fwww.kth.se%2Fis%2Frpl%2F&module=jobs&id=2306017" target="_blank" rel="nofollow">?url=https%3A%2F%2Fwww.kth.se%2Fis%2Frpl%2F&module=jobs&id=2306017" target="_blank" rel="nofollow">https://www.kth.se/is/rpl/
The position is part of and funded by WASP. The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry.
Third-cycle subject: Computer Science
Supervision: Professor Patric Jensfelt will supervise the doctoral student.
What we offer
Admission requirementsTo 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 addition to the above, there is also a mandatory requirement for English equivalent to English B/6,
SelectionIn order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:
After the qualification requirements, great emphasis will be placed on personal competency.
Target degree: Doctoral degree
Information regarding admission and employmentOnly 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.
Union representativesContact information KTH’s website .
Doctoral section (Students’ union on KTH Royal Institute of Technology)Contact information section’s website .
ApplicationApply 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:
Other informationStriving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.
For information about processing of personal data in the recruitment process please read here.
We firmly decline all contact with staffing, recruitment agencies and job ad salespersons.
Disclaimer: In case of 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 Contract type Full time First day of employment According to agreement. No later than Jan 2023
Monthly salary according to KTH’s doctoral student salary agreement
Number of positions
Last application date
30.Jun.2022 11:59 PM CEST
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In your application, please refer to myScience.org and reference JobID 2306017.
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