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 Distributing controller functions across computing nodes could enable modular solutions for computationally intensive applications. This thesis offers the opportunity to explore how Time-Sensitive Networking (TSN) can support timing predictability and scalability in distributed industrial robot control. In this thesis, selected TSN traffic-shaping mechanisms and time synchronization will be evaluated using representative distributed industrial robot-controller workloads. Attention will be given to the coexistence of real-time controller traffic and non-real-time traffic on the same network. The objective is to assess how TSN configurations affect end-to-end timing, coordination and scalability, and to identify the runtime overhead and configuration complexity. Details: Period: Jan – June 2027 Number of credits: 30 ECTS/högskolepoäng (hp) Number of students for this thesis work: One Location: Västerås /Hybrid Qualifications for the role Currently pursuing a master’s degree in computer science, Electrical Engineering, Embedded Systems, Automation, Robotics, or a related field Knowledge of real-time systems and time-critical computing concepts Experience with networking protocols, industrial networks preferably Ethernet-based communication or Time-Sensitive Networking (TSN) Programming skills in C/C++ or Python for system analysis, simulation, or prototyping (Bonus) Familiarity with industrial automation, robotics, or motion control systems More about us Recruiting Manager Peter Rinderud, +46 72 464 46 84 or [email protected], 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.

Thesis Work for Scalable Distributed Computation over TSN for Industrial Robot Controllers.

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