Postdoc in Robotics and geometric machine learning

Job description

In the Department of Robotics, Perception and Learning (RPL), research is carried out in computer vision, robotics and machine learning. The geometric robot learning lab at RPL is now looking for one postdoc in robotics and geometric machine learning. The successful candidate will work on robot learning and control algorithms that build on differential geometry and physics-informed priors to allow for data-efficient and safe robot motion generation and for robot manipulation with strong guarantees. The successful candidate is expected to conduct research at the highest international level and supervise master students.

What we offer

• A position at a leading technical university that generates knowledge and skills for a sustainable future.
• Engaged and ambitious colleagues along with a creative, international and dynamic working environment.
• Work in Stockholm, in close proximity to nature
• Affiliation to Wallengerg AI, Autonomous Systems, and Software Program.
• Help to relocate and be settled in Sweden and at KTH

Read more about what it's like to work at KTH and our benefits.

About WASP: Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. 
The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. 
Read more: https://wasp-sweden.org/

Qualifications

Requirements

• A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made.
• Research expertise in robotics, machine learning, and/or control.
• Outstanding research and publication list.
• Well-developed analytical and problem-solving skills.
• Strong programming skills.
• Very good knowledge of English language (written and oral skills) since it is need in your work.

Preferred qualifications

• A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
• Background on differential geometry.
• Experience with real robots.
• Collaborative abilities.
• Independence in your work.
• Teaching abilities.
• Awareness of diversity and equal opportunity issues, with specific focus on gender equality.

Great emphasis will be placed on personal skills.

Trade union representatives

Contact information to trade union representatives.

To apply for the position

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

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

Others

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

For information about processing of personal data in the recruitment process.

It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance with the same law with the applicant's consent. In such cases, a prerequisite for employment is that the applicant is approved following the security clearance.

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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.