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
In this doctoral project, fully funded by the national research program WASP (wasp-sweden.se), we plan to study the problem of autonomously generating, refining and manipulating dense 3D models. We will combine machine learning techniques for semantic and object level perception with traditional sensor-based robot mapping. The distinguishing feature of this project is that we will treat geometry and semantics jointly to form an overall more accurate and complete map and to allow the model to be edited interactively. The vision of the project is a mapping framework that allows for autonomous creation of 3D models that support, for example, VR type applications. We will take a combined bottom-up and top-down approach. The starting point will be to generate a dense 3D model of the scene using real sensor data.
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. In the selection of the applicants, the following will be assessed:
After the qualification requirements, great emphasis will be placed on personal qualities and personal suitability. Prior experience with deep learning and/or visual SLAM/VO is considered to merit.
Target degree: Doctoral degree
Information regarding admission and employment
Only those who are or have been admitted to third-cycle studies may be employed as a doctoral student. The term of the initial contract may not exceed one year and may thereafter be extended. Doctoral students may engage in teaching, research, and administration corresponding to a maximum of 20 % of a full-time position.
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Doctoral section (Students’ union on KTH Royal Institute of Technology)
You will find contact information for 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:
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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
|Intitulé||Doctoral student in Building Editable 3D Models using Deep Learning|
|Employer||KTH Royal Institute of Technology|
|Job location||Valhallavägen 79, 100 44 Stockholm|
|Publié||juin 13, 2019|
|Date limite d'inscription||juillet 31, 2019|
|Types d'emploi||PhD  |
|Domaines de recherche :||Informatique,   Architecture informatique,   Infographie,   Structures de données,   Interactions homme-machine,   Génie logiciel,   Vision par ordinateur  |