Thesis Work – Applied probability and statistics for robot dimensioning

This role is available within ABB's Robotics business, a leading global robotics company. ABB Robotics is a supplier of industrial robots and robot software, with installations in 53 countries and over 500,000 robots supported by a broad service network. The position is part of a master thesis project focusing on improving the probabilistic mechanical design and reliability engineering processes within ABB Robotics.

Responsibilities

• Literature study on probabilistic mechanical design and reliability engineering.
• Deep dive into ABB Robotics' current in-house dimensioning criteria and load calculation methods.
• Development and testing of improved methodologies to predict failure probability.
• Documentation and recommendations for implementing the improved methodologies.
• Living ABB’s core values of safety and integrity, including taking responsibility for actions and caring for colleagues and the business.

Requirements

• Engineering student in Mechanical engineering, Technical physics, Mathematics, or a related field.
• Knowledge in Mechanical dimensioning and statistics/probability theory.
• Experience with Python, MATLAB, or statistical software.
• A self-driven, structured, and analytical mindset.
• Fluency in English for speaking and writing.

Qualifications

• Self-motivated and able to work independently while collaborating with the team.

Skills

• Strong analytical skills.
• Experience with probabilistic mechanical design and reliability engineering.
• Proficiency in Python, MATLAB, or statistical software.

Benefits

• Participate in a pioneering team shaping the future of robotics.
• Work in a fast-moving, innovation-driven environment.
• Engage with world-class experts in robotics.

Pay

The pay details are not specified in the job posting.

Schedule

The schedule details are not specified in the job posting.

Benefits

The benefits details are not specified in the job posting.

Application Instructions

To apply, submit your CV, academic transcripts, and a cover letter in English. Applications are accepted continuously and positions start in January.