Third-cycle subject: C omputer scene with specialization in robotics, perception and learning
This project addresses generalizable 3D dynamic scene understanding for autonomous systems, with a focus on scene flow estimation. A key challenge is that current methods fail to generalize across different sensor configurations and environments, and treat motion estimation as an isolated geometric task disconnected from downstream safety requirements. The goal is to develop a self-supervised, multi-modal model that fuses LiDAR geometry and camera semantics to learn motion representations that generalize zero-shot to unseen real-world scenarios, and are directly aligned with the safety and efficiency needs of autonomous planning that going beyond standard geometric metrics. The starting point for the project is our state of the art work on self-supervised scene flow (https://github.com/KTH-RPL/OpenSceneFlow). The position is at the department of Robotics, Perception and Learning and is funded by Wallenberg AI, Autonomous Systems and Software Program (WASP), https://wasp-sweden.org/. The student will be connected to the graduate school within WASP: https://wasp-sweden.org/graduate-school/.
Supervision: Patric Jensfelt is proposed to supervise the doctoral student. Decisions are made on admission
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 addition to the above, there is also a mandatory requirement for English equivalent to English B/6.
In 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 skills.
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.
As a doctoral student, you are entitled to a workplace with many employee benefits and monthly salary according to KTH's Doctoral student salary agreement. Read more about Doctoral studies (PhD) | KTH | Sweden.
Contact information for union representatives.
Contact information for PhD chapter.
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 include the following elements:
Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/Central European Summer Time).
For information about processing of personal data in the recruitment process.
It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance with the same law with the applicant's consent. In such cases, a prerequisite for employment is that the applicant is approved following the security clearance.
We firmly decline all contact with staffing and 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.
Tagged as: Engineering, Physics
Doctoral Student In Production Systems Modelling Third-cycle subject: Production Engineering We invite applications for a PhD position in Production Engineering...
ApplyDoctoral Student In Msca Secresys4you: Security Optimization In Control Systems Third-cycle subject: Electrical Engineering Are you interested in working in...
ApplyDoctoral Student In Reinforcement Learning In Agent-based Models School of Architecture and Built Environment at KTH Project Description Third-cycle subject:...
ApplyDoctoral Student In Numerical Methods For Functional Calculus KTH Royal Institute of Technology, School of Engineering Sciences Project Description Third-cycle...
ApplyDoctoral Student In Bio-graphene Via Catalytic Graphitization For Li–s This PhD project aims to develop and validate a scalable and...
ApplyDoctoral Student In Robotics And Geometric Machine Learning KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science...
ApplyPlease visit www.kth.se.
Don't forget to mention that you found the position on jobRxiv!
