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We are looking for a highly-qualified and motivated research engineer in getting hands-on research experience in the area of Machine Learning and Robotics. The research engineer will join a research team at the Division of Robotics, Perception, and Learning (RPL) led by Professor Danica Kragic. The project involves the development of state-of-the-art machine learning techniques applied to robotic applications. The research engineer develops robot software, collects data, devise machine learning algorithms to acquire complex robotics skills through interaction and learning.
Supervision: The research engineer will be supervised by Professor Danica Kragic and Dr. Ali Ghadirzadeh.
Read more about what it is like to work at KTH
Requirements
The candidate should have completed a master’s degree in computer science, machine learning, computer engineering, electrical engineering, mathematics, robotics, computer vision, or similar. Candidates with a Ph.D. degree are also welcomed to apply.
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. Candidates should also have:
Great emphasis will be placed on personal competence and suitability.
You will find contact information to trade union representatives at KTH's webbpage.
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.
Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values
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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 |
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Employment expires | 2021-06-29 |
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-2020-2620 |
Contact |
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Published | 20.Nov.2020 |
Last application date | 15.Dec.2020 11:59 PM CET |