PhD Positions in Robotics, AI, and Sustainability at University of Groningen

University: University of GroningenCountry: NetherlandsDeadline: 2025-09-11Fields: Computer Science, Artificial Intelligence, Robotics, Electrical Engineering, Mechanical EngineeringAre you eager to drive innovation at the intersection of robotics, artificial intelligence, and sustainability, and ready to tackle real-world challenges in the circular economy? If you are passionate about advancing smart systems and embedded AI for a more sustainable future, the University of Groningen offers a unique opportunity to shape the future of textile recognition and handling. The University of Groningen has announced two fully funded PhD positions within a dynamic, hands-on, and interdisciplinary research group.

These positions focus on cutting-edge research in AI-driven textile recognition and robotics for textile handling, both crucial for advancing sustainable practices in the textile industry. About The University Or Research InstituteThe University of Groningen, located in the vibrant city of Groningen, Netherlands, is renowned for its research excellence and commitment to interdisciplinary collaboration. As one of Europe’s oldest and most prestigious universities, it offers a stimulating academic environment, state-of-the-art facilities, and a strong international orientation.

The university fosters innovation and sustainability across a wide range of scientific disciplines, making it an ideal setting for ambitious researchers seeking to make a tangible impact. Research Topic and SignificanceThe two available PhD positions are situated at the forefront of robotics, AI, and sustainable technology:

Also SeeFully Funded PhD Fellowships in Sustainability and Circular Economy at SDUPhD Opportunity in Responsible AI for Face Recognition at Paderborn UniversityPhD Position in Machine Learning for Responsible Face Recognition at Paderborn UniversityPhD Opportunity in Formal Analysis and Control of Multi-Agent Cyber-Physical Systems at…Postdoctoral Fellowship in Bidirectional Wireless Charging Systems for Electric Vehicles and… AI for Textile Recognition: This project leverages advanced sensor technologies such as hyperspectral, near-infrared (NIR), and Raman sensors to build embedded AI pipelines for textile sorting.

The research aims to revolutionize textile recycling and sorting processes, making them more efficient and accurate, which is vital for achieving circular economy goals. Robotics for Textile Handling: This project focuses on the design and development of fast, force-sensitive robotic grippers capable of recognizing, unfolding, and sorting garments. Incorporating elements such as motion planning, digital twins, and advanced control systems, the research addresses key challenges in automating textile handling, reducing waste, and improving resource efficiency. Both projects address pressing societal needs by promoting sustainable solutions in the textile industry, a sector facing significant environmental and logistical challenges.

Project Details– PhD 1: AI for Textile Recognition– Work with hyperspectral, NIR, and Raman sensors. – Build embedded AI pipelines for textile sorting. – Contribute to the advancement of textile sorting technologies. – PhD 2: Robotics for Textile Handling– Design and develop fast, force-sensitive robotic grippers. – Implement motion planning, digital twins, and control systems. – Innovate solutions for real-time garment recognition, unfolding, and sorting. Both positions are fully funded for four years and are embedded in an interdisciplinary team with a practical, hands-on approach. The successful candidates will work in close collaboration with international partners and contribute to impactful research outcomes.

The expected start date for these positions is before November 1, 2025. Candidate ProfileRequirementsThe ideal candidates for these PhD positions are talented engineers with a strong background and a drive for innovation. The requirements include: – A Master’s degree in computer science, artificial intelligence, or a related field, with a solid foundation in optical and spectroscopic instrumentation (hyperspectral, NIR, Raman systems). – Demonstrated hands-on experience in rapid prototyping (PCB design, laser cutting, 3D printing) and middleware development for measurement systems integration. Experience in high-throughput sorting lines is an advantage.

– Proficiency in developing, training, and deploying AI-driven sensor-fusion pipelines, including preprocessing, deep-learning model architectures, and on-device inference on edge-compute platforms. – Strong analytical problem-solving skills, with experience in experimental design, quantitative and qualitative data analysis, and validation of innovative engineering solutions. – Ability to anticipate technical and schedule risks, develop mitigation strategies, and implement quality assurance processes to meet performance and compliance benchmarks. – Leadership capabilities to guide interdisciplinary teams, foster collaboration, and drive continuous improvement and innovation. – Excellent written and verbal communication skills in English, with the ability to present findings and collaborate effectively within international teams. Application ProcessDeadline for applications:

2024-09-11Interested candidates are encouraged to review the official calls and submit their applications through the provided links: https: //lnkd. in/eX_wgVuXhttps: //lnkd. in/eN6QDpk3Please ensure your application materials demonstrate your relevant background, experience, and motivation for the position. ConclusionIf you are enthusiastic about contributing to groundbreaking research in robotics, AI, and sustainability, and aspire to be part of a world-class academic environment, we strongly encourage you to apply for these PhD positions at the University of Groningen.

Take this opportunity to advance your career and make a meaningful impact on the future of sustainable textile processing. For more opportunities and updates, explore similar positions and stay connected with the latest developments in your field. Want to calculate your PhD admission chances? Try it here: https: //phdfinder. com/phd_admission_chance_calculator/ Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: https: //phdfinder. com/position-alert-service/We’re an independent team helping students find opportunities. Found this opportunity helpful? Support us with a coffee!