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EngD in Digital Textile Manufacturing and Systems

Technische Universiteit Eindhoven

Eindhoven
Full-time
0-2 years experience
On-site

€3,173 per month

Key Skills

Data Science
Machine Learning
Artificial Intelligence
Experimental Machine Setup Design
Sensor Integration
Control Systems
Production Data Analysis
Ecosystem Data Analysis
Textile Manufacturing
Value Chain Redesign
Circularity
Industrial Design
Collaboration
Workflow Development
Prototyping
English Communication

Job Description

Introduction Are you inspired to make textile production digital, circular, and scalable for SMEs? Are you eager to turn machine, production, and ecosystem data into insights with data science, ML, and AI, working hands-on with real machines and their makers, to redesign complete textile value chains? Job Description Textile machines are often digital, but they are rarely connected or ready for data-driven work with machine learning and AI. Much of the production knowledge still lives in the heads and hands of operators. As a result, designers, producers, repairers and recyclers work in isolated steps, and valuable know-how and material are lost along the way. As an EngD trainee, you will help prepare textile production for the AI and ML age, and you will show how production and prototyping data can inform and redesign the complete value chain. What You Will Do You will design, build and adapt experimental machine setups with textile producers and machine builders, for example by adding sensors and controls or by linking machine settings to design files. You will use data science, machine learning and AI to turn machine, production and ecosystem data into insights that operators, designers and partners can use. Beyond machines, you will analyze how data-enabled production affects the wider ecosystem, from design and material choices to small-batch production, repair, reuse and recycling. Working with people This is a collaborative role. You will learn from operators and technicians, co-design with small companies, and turn fieldlab learning into workflows, demonstrators and open knowledge that others can build on. You will work in a public-private fieldlab with TU/e, industry, design researchers and the Dutch Textile Campus, with close supervision and room to grow as an engineer. Why it matters Your work helps Dutch textile SMEs meet new European circularity rules without losing their own craft, and keeps textiles and materials in use for longer. Moreover, the semiconductor industry in Eindhoven was built with engineering companies who made machinery for Textile companies. In this project we look to see how the knowledge generated informs all industries in the region. Job Requirements A master’s degree (or an equivalent university degree) in Industrial Design or related field. A design-oriented attitude. Ability to work in a team and interest in collaborating with industrial partners. Fluent in spoken and written English. Conditions of Employment A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In Addition, We Offer You Full-time employment for two years. Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale TOIO (€ 3.173 gross per month (full-time)). In addition to your base salary, you will receive an 8% holiday allowance and an 8.3% year-end bonus, both calculated based on your annual gross base salary. Generous leave options: a standard 29 days (based on a 38 hour working week) per year that you can increase to 41 days by working two hours more per week (flexible working hours). This is prorated if you work part-time. As a TU/e employee, you participate in the ABP pension scheme, providing retirement pension and pension benefits for surviving dependents and occupational disability. TU/e pays 70% of the pension premium, while employees contribute the remaining 30%. High-quality training programs on general skills, didactics and topics related to research and valorization. An excellent technical infrastructure, and on-campus children's day care. Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally affordable rate. We support your wellbeing with free 24/7 access to OpenUp, providing you and your family with mental health support, expert guidance, and online training. Partially paid parental leave and an allowance for commuting, working from home and internet costs. A TU/e Postdoc Association that helps you to build a stronger and broader academic and personal network, and offers tailored support, training and workshops. A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the Expat Scheme) and a compensation for moving expenses. On our website you can discover even more information about our conditions of employment. Build on your career at TU/e! About Us We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home to over 13,000 students and more than 7,000 staff, forming a diverse and vibrant academic community. Our university is located in Brainport Eindhoven — a world‑leading tech region with more than 7,000 high‑tech companies and strong R&D activity. Known for breakthroughs in AI, photonics, semiconductors and advanced manufacturing, Brainport is a place where technology serves people and society. Learn more about the Brainport region here. Information Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager Troy Nachtigall, [email protected]. Visit our website for more information about the application process. You can also contact [email protected]. Are you inspired and would like to know more about working at TU/e? Please visit our career page. Application We invite you to submit a complete application using the apply-button. The application should include a: A cover letter in which you describe your motivation and qualifications for the position. A curriculum vitae, including a list of your publications and the contact information of three references. Kindly note that we may reach out to references at any stage of the recruitment process. We recommend notifying your references upon submitting your application. Copies of relevant BSc and MSc diplomas and grade transcripts. The result of an English proficiency test such as IELTS or TOEFL. Ensure that you submit all the requested application documents. Please note that incomplete applications may not be considered and could be rejected. We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled. Please note You can apply online. We will not process applications sent by email and/or post. A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check, please consult the National Knowledge Security Guidelines. Please do not contact us for unsolicited services.

Core Responsibilities

Design, build, and adapt experimental textile machine setups with producers and machine builders, and apply data science, machine learning, and AI to derive useful insights from machine, production, and ecosystem data. Analyze how data-enabled production can improve the textile value chain, and collaborate with operators, technicians, and companies to develop workflows, demonstrators, and shareable knowledge.

Requirements

Applicants must have a master’s degree or equivalent university degree in Industrial Design or a related field, along with a design-oriented attitude. They should be able to work in a team, be interested in collaborating with industrial partners, and be fluent in spoken and written English.

Benefits

  • Holiday Allowance
  • Year-End Bonus
  • Paid Leave
  • Pension Scheme
  • Training Programs
  • On-Campus Childcare
  • Sports Center Access
  • Mental Health Support
  • Partially Paid Parental Leave
  • Commuting Allowance
  • Work-From-Home Allowance
  • Internet Cost Allowance
  • Immigration Support
  • Tax Compensation Scheme
  • Moving Expense Compensation
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