KTH Royal university of Technology, Sweden

Doctoral student in data-driven geometric methods for robotics at KTH, Sweden, June 2022

Sweden

Doctoral student in data-driven geometric methods for robotics we will develop simplicial complex-based robot configuration space models with master’s degree is available at KTH Royal Institute of Technology, Sweden, June 2022

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General Info

Position: PhD
No. of Positions: 1
Research Field:
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: 4 years
Salary: According to standard norms

Workplace:
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KTH Royal Institute of Technology, Sweden

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Qualification Details

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:

  • passed a second cycle degree (for example a master's degree), or
  • completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
  • acquired, in some other way within or outside the country, substantially equivalent knowledge

In addition to the above, there is also a mandatory requirement for English equivalent to English B/6, read more here

Selection

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:

  • independently pursue his or her work,
  • collaborate with others,
  • have a professional approach,
  • analyse and work with complex issues,
  • speak and write in English and
  • use C/C++ and/or Python.

After the qualification requirements, great emphasis will be placed on personal competency.

Target degree: Doctoral Degree

Responsibilities/Job Description

In this project, we will develop simplicial complex-based robot configuration space models for embodiment-aware robot motion planning and learning from demonstration. We will develop extremely large scale and detailed data-driven simplicial complex-based models of robot arm configuration spaces that represent the complex geometry that they exhibit. Based upon these representations we will develop algorithms for efficient updates, optimal motion planning and probabilistic reasoning for robotic manipulation. The project will be highly interdisciplinary as it lies at the intersection of Computational Geometry, Motion Planning, Bayesian Machine Learning and Optimal Control.

The position is at the division of Robotics, Perception and Learning (RPL).Read more: 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.

Read more: https://wasp-sweden.org/graduate-school/

Third-cycle subject: Computer Science

Supervision: Florian Pokorny will supervise the doctoral student.

How to Apply?

Application Method: Online Application
Ref. No.: J-2022-1455

Application Procedure

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:

  • CV including your relevant professional experience and knowledge.
  • Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
  • Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages.Copies of originals must be certified.
  • Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

About the KTH Royal Institute of Technology

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.

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