Amanuensis in robotics - Hiring in process/Finished, not possible to apply

Job description

We are looking for students interested in getting hands-on research experience in the area of Robotics. The amanuensis will be part of Associate Prof. Florian Pokorny’s research team (https://www.csc.kth.se/~fpokorny/) at the Division of Robotics, Perception, and Learning (RPL) at KTH (https://www.kth.se/rpl) and will assist an effort within the project DARMA_BRIDGE (https://wasp-sweden.org/first-three-industry-bridge-projects-selected/) funded by the Wallenberg AI, Autonomous Systems and Software Program (wasp-sweden.org). The amanuensis will contribute to designing robotic hardware prototypes for an experimental robotic platform that is being developed by the group and which will be used to generate training data for machine learning algorithms.

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.
• Participation in the group activities of the division. 
• Mentoring by the faculty advisor.
• The amanuensis will work closely with a Ph.D. student in the group and will be able to join regular research meetings in the group.
• An opportunity to being exposed to current research in the area of robotic manipulation and machine learning.

Qualifications

Requirements

You should be admitted to education at the basic or advanced level at KTH.

• The candidate should be enrolled in a bachelor's or master’s degree in computer science, computer engineering, electrical engineering, mechanical engineering, mathematics, robotics, computer vision, machine learning, or similar.  

Preferred qualifications

• Some experience with DIY Electronics/Mechanical Engineering or Rapid Prototyping methods such as 3D printing/CNC or Laser cutting, Arduino/Raspberry Pi.
• Experience with projects (e.g. at course level) related to Robotics, Control, Computer Vision, Machine Learning, or similar.
• Excellent software development and integration skills, preferably in Python and C
• Solid mathematical background.
• Familiarity with computer vision, motion capture, robot-specific algorithms, and methodologies or machine learning algorithms and tools.
• Excellent writing and communication skills. 

Great emphasis will be placed on personal competency. 

Trade union representatives

You will find contact information to trade union representatives on KTH's web page.

Application

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

Your 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.
• A brief account of why you want to conduct research, your academic interests, and how they relate to your previous studies and future goals. Max two pages long.

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).

About the employment 

The employment is valid for a limited time according to the agreement - for up to 6 months (or years), with access according to the agreement.

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 the processing of personal data in the recruitment process please read here.

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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