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At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world. This role sits within ABB's Robotics business, a leading global robotics company. We're entering an exciting new chapter as we’ve announced the plan for SoftBank Group to acquire ABB Robotics. SoftBank is a globally recognized technology group and investor/operator focused on AI, robotics, and next-generation computing. By joining us now, you’ll be part of a pioneering team shaping the future of robotics—working alongside world-class experts in a fast-moving, innovation-driven environment. This Position reports to: R&D Team Lead Your role and responsibilities Within ABB Robotics R&D Motion Control department we are proposing several Master thesis next spring. The Motion Control department are responsible for a wide range of areas within the robot controller development spanning from modeling, identification, control design and as well as optimization for path planning and numerous other motion control functionalities. Background Industrial robots of the same type exhibit significant robot-to-robot variations in positioning accuracy and dynamic performance. These variations originate from manufacturing tolerances, assembly differences, calibration differences, and other mechanical factors that are not fully captured by the nominal physics-based robot model. As part of the production process, robot-specific information is collected, for example data for robot calibration and quality verification. However, they may also contain valuable information about the individual robot's mechanical characteristics and dynamic behavior. The availability of fleet-level production data creates an opportunity to investigate whether machine-learning methods can extract robot-specific information and use it to improve physical robot models, enable individualized robot representations, detect anomalies, and support future digital twin applications. Objective The objective of this thesis is to investigate how data and test measurements collected during production process can be used to learn robot-specific characteristics and improve modeling of individual robots. The thesis will explore whether robot-specific information can be extracted from existing data and how such information can be integrated with physics-based models using machine-learning techniques. The long-term vision is to establish a framework where data collected during normal production procedures are continuously reused to create and maintain robot-individual models. Such models could support improved simulation accuracy, automated diagnostics, and future robot-specific control models without requiring dedicated identification experiments for every robot individual. Details: Period: 2027 January – June Number of credits: 30 Number of students for this thesis work: One ore two Location: ABB Robotics office at Finnslätten Västerås Qualifications for the role Studying for a Master of Science, Engineering Physics, Electrical Engineering, Mechanical engineering or Computer Science degree. Strong interest in machine learning, system identification, physics-based modeling and control theory. Knowledge of Matlab and/or Python, numerical methods, and basic programming in C/C++ is considered an advantage More about us Recruiting Manager "Johan Norén" , will answer your questions. Positions are filled continuously. Please apply with your CV, academic transcripts, and a cover letter in English. We look forward to receiving your application! A Future Opportunity Please note that this position is part of our talent pipeline and not an active job opening at this time. By applying, you express your interest in future career opportunities with ABB. We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to learn more about us and see the impact of our work across the globe. Why ABB Working at ABB gives you the opportunity to contribute to a healthier and more prosperous world. Add to your story by joining a passionate team, focused on pushing the boundaries of technology to drive performance, shape new business models and find new ways of working that benefit our customers, partners and society. We want you to be proud of being part of ABB. We care At ABB, we care about our people and their stories. We create safe, fair, equitable and inclusive working environments in which our people can succeed and develop, regardless of gender, ethnicity, sexual orientation or cultural, religious or social background. Diverse teams make us stronger. ABB is also committed to a high standard of integrity in everything we do. We grow We help our people succeed and develop, and we empower them to create their own careers at ABB. Our benefits, reward and development programs encompass a wide array of offerings. How to apply Do you want to shape the future, together with us? Get more insights into our recruitment process and find some helpful tips and tricks how to join the team. Make our story your story.
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