KTH Royal Institute of Technology

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 the area of Machine Learning and Neuroscience. 

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 master’s degree in computer science, neuroscience, machine learning, computer engineering, electrical engineering, mathematics, robotics, computer vision, or similar.   

  • Experience with projects (e.g. at course level) related to Machine Learning and Neuroscience is of preference.
  • Excellent software development and integration skills, preferably in Python and C++/C#.
  • Solid mathematical background.
  • Familiarity with deep learning algorithms and tools, as well as techniques in neuroscience to clean EEG signals and remove artifacts.
  • 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 how this position is relevant for you and 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, or 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.

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.

 

Type of employment Special fixed-term employment
Employment expires 2020-10-31
Contract type Full-time/Part-time
First day of employment In agreement with supervisor
Salary Monthly salary
Number of positions 2
Full-time equivalent 50-100%
City Stockholm
County Stockholms län
Country Sweden
Reference number J-2020-0978
Contact
  • Ali Ghadirzadeh, Postdoc, algh@kth.se
  • Sarah Kullgren, HR Officer, sarahku@kth.se
Published 29.Apr.2020
Last application date 20.May.2020

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