EngD in Digital Textile Ecosystem Identification and Orchestration
Develop AI and computer vision models to optimize textile recycling and circular value chains at Eindhoven University of Technology.
Best for:Best for master's graduates in industrial design or related fields with a strong interest in computer vision, machine learning, and circular supply chains.
Overview
Eindhoven University of Technology offers a two-year Engineering Doctorate (EngD) position focused on digital textile ecosystem identification and orchestration. The trainee will work within a public-private field lab to build labeled image datasets and train computer vision and machine learning models that assess used garments and route them to their highest-value lifecycle stage. The successful candidate will collaborate closely with manufacturers, designers, and sorting specialists to bridge expert decision-making with advanced data models. This role provides an opportunity to support European sustainability initiatives and help small and medium enterprises implement circular production strategies.
What you'll do
- Build labeled image datasets in collaboration with repair and sorting partners.
- Train computer vision and machine learning models to classify garment damage, condition, and material.
- Combine garment assessments with product passport, manufacturing, and environmental impact data into decision models.
- Explore AI-driven value chain orchestration to feed insights back into regional design and manufacturing planning.
- Engage with manufacturers, designers, and repair specialists to translate expert decision-making into reliable data models.
Requirements
Degree required: Master's degree or equivalent university degree in Industrial Design or related field
Degree offered: EngD
Language: English; fluent in spoken and written English
Instruction: English
- Demonstrated design-oriented attitude
- Ability to work effectively in interdisciplinary teams
- Interest in collaborating with industrial partners and stakeholders
- Experience or strong foundation in data science, machine learning, or computer vision concepts
- Hold an eligible Master's degree upon appointment
Funding & terms
How to apply
Deadline: 2026-11-20 · open until filled
Submit your application online through the university portal using the apply button. Ensure all requested documentation, including a cover letter, CV, diplomas, and English test scores, are uploaded together, as incomplete submissions may be rejected.
- Cover letter
- CV
- List of publications
- BSc diploma and transcripts
- MSc diploma and transcripts
- English proficiency test results
- 3 reference letters
Contact
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