KTH , School of Electrical Engineering and Computer Science

Project description

Third-cycle subject: Computer Science/Electrical Engineering

The school of EECS announces two positions within the project CANOPIES: 

1. Human- Multi-robot/agent collaboration: the student will investigate state-of-the-art techniques in the area of formal methods/temporal logic specifications and mixed-initiative control. The aim is to guarantee the safety of humans in the shared human-robot workspace by means of online re-planning and human-in-the-loop control. The student will have the opportunity to develop and implement novel algorithms for motion planning of multi-robot systems and apply them to the CANOPIES grape harvesting project.

Supervision: The doctoral student will be supervised by Professor Dimos Dimarogonas, Dr. Wenceslao Shaw Cortez, Dr. Luis Guerrero Bonilla at the Division of Decision and Control.

2. Learning harvesting skills from human demonstrations: the student will investigate machine learning techniques to analyze and model human manipulative movements and enabling the agricultural robot to acquire the target skills (grape harvesting and placement). The student will have the opportunity of exploring several topics, including imitation learning, bimanual/whole-body motion modeling, domain adaptation, and meta-learning.

Supervision: The doctoral student will be supervised by Professor Danica Kragic, Dr. Hang Yin, Dr. Ali Ghadirzadeh at the division of Robotics, Perception and Learning. 

What we offer

Eligibility

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 degree at advanced level,
  • completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level, or
  • in any other way acquired within or outside the country acquired essentially equivalent knowledge.
  • Requirements 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 and
  • analyse and work with complex issues.

After the qualification requirements, great emphasis will be placed on personal qualities and personal suitability.

Good programming skills and documented academic performance such as transcripts are required for both positions, and preferred requirements specified for the different positions (1/2) are:

  1. Experience with formal methods/temporal logic, multi-agent systems, and/or motion planning.
  2. Experience with robot manipulation, human-robot interaction, and/or machine learning.

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.

Union representatives

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 doctoral section on the section's website.

Application

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/entral European Summer Time).

Applications must include the following elements:

  • 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.
  • Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

Other information

Striving 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 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.

 

Type of employment Temporary position
Contract type Full time
First day of employment In agreement with supervisor
Salary Monthly salary according to KTH's doctoral student salary agreement
Number of positions 2
Full-time equivalent 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number J-2020-2395
Contact
  • Sarah Kullgren, sarahku@kth.se
  • Felicia Gustafsson, feliciag@kth.se
  • Danica Kragic Jensfelt, dani@kth.se
  • Dimos Dimarogonas, dimos@kth.se
Published 12.Nov.2020
Last application date 15.Dec.2020 11:59 PM CET

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