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 The thesis focuses on exploring the performance of physical AIs trained on virtually generated video reference. Details: Period: January - June 2027 Number of credits: 30 ECTS/högskolepoäng (hp) Number of students for this thesis work: Two Location: Partly on-site Physical AI models require large amounts of training data when training for a task. Your responsibilities: Research different solutions of simulating robots and their ability to capture video footage en masse. Create 3D digital twins of robot-setups using state-of-the-art techniques, such as Gaussian Splatting/Triangle Splatting, mesh generation, etc. Evaluate performance of robots using physical AI methods, such as ACT (Action Chunking with Transformers), trained on virtually generated video reference. Explore what level of fidelity is needed from a simulation to successfully train an AI model, with the objective to find a balance between speed, implementation complexity, and performance. Qualifications for the role Engineering student with background in robotics, computer science, or program with similar profile. Experience with machine learning and AI training, preferably in the fields of AI vision systems or imitation learning. Knowledge about linear algebra. Experience with 3D rendering and CAD and/or 3D modelling techniques is a plus. Hands-on experience with ABB industrial robots is a plus. More about us Recruiting Manager Stefan Westberg, +46724613140, 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 generating photo realistic virtual training data for physical AI models.

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