Research Engineer in Robotics, Perception and Learning

The division of robotics perception and learning is looking for a research engineer. You will work with the research projects that are ongoing at the division or in the laboratories that the division has. Working with courses and other education at RPL may also be included in the tasks

Requirements

• MS degree in robotics computer science mathematics automation or equivalent.
• Hands-on Python and PyTorch.

Preferred qualifications

• Have the ability to collaborate and work independently.
• Willingness to work with real robots.
• Knowledge of machine learning or foundation models.
• Imitation learning or reinforcement learning for legged robots or tabletop manipulation.
• Large-scale data processing and pipelines for training.
• Human motion data and motion retargeting (e.g. SMPL).

Great emphasis will be placed on personal skills.

KTH shapes the future through education research and innovation. As a leading international technical university we play an active role in advancing the transition towards a sustainable society. At KTH you have the opportunity to grow and develop in a creative and dynamic environment with good working conditions and attractive benefits. Equality diversity and equal opportunities are essential to quality and form an integral part of KTHs core values as a university and public authority.

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Log into KTHs recruitment system to apply for this position. You are responsible for ensuring that your application is complete according to the instructions in the ad.

The application must include:

• CV including relevant professional experience and knowledge.
• Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.

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).

The employment is valid for a limited time according to the agreement - for up to 6 months with access according to agreement.

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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.