Overview

• Pigmentoco is developing supercritical CO₂–based solutions for sustainable textile processing and is opening 6‑month end-of-thesis internships.
• The AI & ML Engineering internship is intended for final-year engineering students or Master’s students interested in applied, hands-on projects.

Project focus & responsibilities

• Work on AI and machine learning tasks that support process optimization, data analysis, control strategies, or predictive modeling for textile processing systems.
• Typical responsibilities may include dataset preparation, model development, validation, and integration of ML outputs into process improvement efforts.

Candidate profile & qualifications

• Targeted at students with backgrounds in AI, machine learning, data science, or related engineering disciplines and an interest in industrial applications.
• Candidates should be prepared for hands-on, applied work in a deep-tech, textile-oriented environment.

Application process

• Applicants should send a CV, a short motivation note, and indicate their preferred project area (AI & ML Engineering).
• The posting notes a presentation with full details and that the exact thesis topic will be discussed during the interview stage.

Additional information

• Internship areas also include Mechanical, Chemical, Textile, UX & SEO, Finance, and Marketing & Business Development; this role covers AI & ML aspects.
• The internship is an end-of-thesis project aligned with Pigmentoco’s research and development efforts in sustainable textile processing.