Overview
A master's thesis in Data and Analytics, Technology and Software, Business and Management, Energy and Sustainability at ABB, based in Vaesteras, Sweden; Sweden. Applications for this listing have closed. Compensation is not specified in the listing.
Key facts
- Opportunity type
- Master's thesis
- Organization
- ABB
- Location
- Vaesteras, Sweden; Sweden
- Field / discipline
- Data and Analytics, Technology and Software, Business and Management, Energy and Sustainability
- Application deadline
- 12 Oct 2026
- Funding / compensation
- Pay not specified
- Duration
- See source description
- Last source check
- 11 Oct 2026
Applications closed. This listing is kept for reference. Browse current opportunities.
Project description
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 responsibilitiesThe thesis focuses on exploring the performance of physical AIs trained on virtually generated video reference. Details:Period: January - June 2027Number of credits: 30 ECTS/högskolepoäng (hp)Number of students for this thesis work: TwoLocation: 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 roleEngineering 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 OpportunityPlease 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.
Requirements and eligibility
See the source description and original listing for specific eligibility requirements.
Application documents
See the source description and original listing for required application documents.
Funding, benefits and conditions
See the source description and original listing for additional benefits and employment conditions.
Contacts and supervision
See the source description and original listing for contacts and supervision details.
Before you apply
0 of 4 readyA preparation checklist, saved on this device. The official posting determines eligibility and required documents.
How to apply
Applications are closed according to the deadline or latest source check.
Source and listing information
Application source: abb.wd3.myworkdayjobs.com. Listing details may change; confirm them on the source site. A source check confirms page availability, not endorsement of the organization.
Report an outdated or incorrect listingFrequently asked questions
- What type of opportunity is this and where is it based?
- This is a master's thesis at ABB, based in Vaesteras, Sweden; Sweden.
- What is the application deadline?
- Applications are closed according to the deadline or latest source check.
- Is funding or compensation specified?
- Pay not specified. Check the original listing for exact amounts and conditions.
- Where can I apply and check the full requirements?
- Use the application link to abb.wd3.myworkdayjobs.com. The original listing provides the full requirements, documents and application instructions.
