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.

Job description

The Division of Robotics, Perception, and Learning (RPL) at KTH (https://www.kth.se/rpl) is looking for students interested in getting hands-on research experience in several areas applicable to Robotics, Control, Computer Vision and Machine Learning.

The position is not targeted at a specific area or project; instead, we are looking for candidates who show significant potential to contribute to one or more of RPL’s research groups. 

Applications will be assessed on a regular basis and the fellowship program will be adjusted to each candidate’s interests and time of the year (e.g. 3 months full-time positions during summer or longer part-time positions during the academic year). 

More information can be found here: https://www.kth.se/rpl/fellowships  

What we offer

    In addition to a faculty advisor, each chosen candidate will be matched with a technically relevant researcher (e.g. PhD student or postdoc) who will serve as the candidate´s research collaborator and mentor.
    An international workplace.
    A leading technical university that creates knowledge and expertise for a sustainable future.
    The possibility to interact with a diverse team of researchers with high ambitions in an open, curious and dynamic environment.
    Participation in the group activities of the division. 

Qualifications

The candidate should be enrolled in a bachelor’s or master’s degree in computer science, computer engineering, electrical engineering, mathematics, robotics, computer vision, machine learning or similar.   

    Experience with projects (e.g. at course level) related to Robotics, Control, Computer Vision, Machine Learning or similar is of preference.
    Excellent software development and integration skills, preferably in Python and C++/C#. 
    Solid mathematical background.
    Familiarity with computer vision, motion capture, robot-specific algorithms and methodologies, logics, formal methods, or machine learning algorithms and tools.
    Excellent writing and communication skills.

Candidates applying for this position are comfortable working in groups as well as independently, and you have a good sense of structure in your daily work tasks. 

Great emphasis will be placed on personal competence and suitability.

Trade union representatives

You will find contact information to trade union representatives at KTH's webbpage.

Application

The application must include:

    CV including relevant project experience and knowledge.
    Copy of diplomas and grades from university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
    Brief account (maximum one page) of which RPL research area (https://www.kth.se/rpl) you would be interested in, and how this position can contribute to your future academic career.

Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad. Your complete application must be received at KTH no later than the last day of application.

Temporary employment for up to 6 months, start date by agreement. 

Other information

Gender equality, diversity and zero tolerance against discrimination and harassment are important aspects of KTH's work with quality as well as core values in our organization.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Type of employment: Temporary position 3-6 months
Contract type: Full-time/Part-time
First day of employment: In agreement with supervisor
Salary: Monthly salary
Number of positions: 13
Working hours: 20-100%
City: Stockholm
County: Stockholms län
Country: Sweden
Reference number: J-2020-0928
Contact: 

    Contact: , https://www.kth.se/rpl/fellowships
    Sarah Kullgren, HR Officer, sarahku@kth.se

Published: 2020-04-21
Last application date: 2020-10-17

sarahku@kth.se