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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.
Read more about what it is like to work at KTH
Requirements
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.
Preferred qualifications
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.
You will find contact information to trade union representatives at KTH's webbpage.
The application must include:
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 by KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).
Temporary employment for up to 6 months, or by agreement.
The employment is valid indefinitely or is limited by agreement.
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.
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 | Special fixed-term employment |
---|---|
Employment expires | 2021-06-30 |
Contract type | Full time |
First day of employment | In agreement with supervisor |
Salary | Monthly salary |
Number of positions | 1 |
Full-time equivalent | 100% |
City | Stockholm |
County | Stockholms län |
Country | Sweden |
Reference number | J-2020-2416 |
Contact |
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Published | 29.Oct.2020 |
Last application date | 15.Dec.2020 11:59 PM CET |