Thesis assignment | AI-driven template validation at Inter IKEA Group

Malmö, Skåne County, Sweden -

Full Time

Start Date

Immediate

Expiry Date

16 Feb, 26

Salary

0.0

Posted On

18 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Computer Vision, Automation, Data Analysis, Design, Layout, Technology, API Development, Statistical Analysis, Frontend Development, Dashboard Design, Generative AI, Dataset Building, Model Training, Validation, Collaboration

Industry

Furniture and Home Furnishings Manufacturing

Description

Job Description Hej Master thesis student, Do you want to furnish the future to make room for everyone? With us, you can feel at home at work while sharing that feeling with millions of people around the world. We encourage you to stand up for yourself and others, creating an environment where everyone feels welcome. We invite you to open new doors, embrace mistakes, and grow from them. As our Master thesis student, you’ll have many opportunities to try things you’ve never done before. We are now looking for a student who wants to write their Master thesis at IKEA of Sweden from mid-January to June 2026. Your key assignment is to explore how machine learning and computer vision can be used to validate IKEA communication templates; ensuring that elements such as size, language, fonts, and positioning follow required standards and simplify the work of our teams. Your new assignment ML-Driven template validation: enabling accuracy, efficiency, and smarter workflows. Your thesis will focus on creating a reliable and explainable ML-validation pipeline that can automatically classify whether a template is compliant or not while identifying which elements failed and why. Key activities Building a dataset of both compliant and non-compliant templates, based on, for example, size, length, language, position, fonts, printer type, DPI, and editing tools. Train a computer-vision model to classify templates and understand the reasons behind invalid outputs. Exploring the use of cursor/generative AI for code-development as part of the process. Designing a frontend or dashboard showing failed elements and relevant statistics to support manual testers. Evaluating which template elements influence validation accuracy and model performance. The deliverables A working ML-based validation service exposed through an API, demonstrating an end-to-end flow where a template is sent via an API request and the system returns a “valid/invalid” response. A dashboard or visualization tool highlighting failed elements and statistical patterns. A final thesis report written in English, explaining the methodology, model performance, and recommendations for further development. What we’d like you to bring to the table We think that you… • Are curious about machine learning, computer vision, and automation. • Have an analytical and independent mindset, eager to explore real-world data challenges. • Are interested in how design, layout, and technology intersect in large-scale workflows. • Are probably studying Computer Science, Data Science, Machine Learning, Interaction Design, or a similar field. • Are fluent in English. More information Inter IKEA Group is the group of companies that connects IKEA franchisees with range development and suppliers and aligns the overall IKEA strategic direction. Every day, we strive to develop, produce, and sell products and services that are affordable and accessible to everyone. With us, you contribute to building a democratic brand and workplace that has a positive impact on both the planet and people's lives. This assignment belongs to IKEA of Sweden, connected to work involving template design, printing processes, and internal communication workflows. You will work in our office in Malmo Hyllie (Klipporna) a few days per week and can work the other days remotely. Please note: To apply for this thesis assignment, you must be enrolled in a thesis course at university level. We welcome your application Get ready to assemble something new! We look forward to receiving your application before the 1st of December. Please submit both your CV and motivation letter in English. We might close the recruitment process earlier depending on the selection/matching of candidates, so don’t wait to apply! If you are two students wishing to write this thesis together, please submit one application each and clearly state the other person’s name you wish to collaborate with. At IKEA, we are looking for people who believe everyone deserves a seat at the table. You’re welcome no matter where you come from, what you believe, or what you look like. We don’t even care how you have furnished your home. We’re interested in you simply because you’re you. We believe that people’s different perspectives, backgrounds, and personalities make us better at understanding our customers’ dreams and needs. If you have a special need that requires accommodation in the recruitment process, just let us know. For any questions about the role please contact [email protected]. If you have any questions regarding the recruitment process, please contact [email protected]. We look forward to hearing from you!

Responsibilities

The thesis assignment involves exploring the use of machine learning and computer vision to validate IKEA communication templates. The student will create a reliable ML-validation pipeline to classify template compliance and identify failures.