The Chair of Circular Engineering for Architecture (CEA) is seeking a highly motivated and qualified PhD candidate in the field of digital technologies for circular economy in the construction sector. You will join a dynamic research team working on innovative approaches to enhance circular construction practices. This position offers a unique opportunity to contribute to the development of tools and strategies that promote circular management of building components and projects, enabling a more sustainable and regenerative built environment.
Job description
The selected candidate will be involved in developing a new service for circular information management for construction elements and reality capture in existing buildings using computer vision and machine learning. It operates at the intersection of computer science, civil engineering, and architecture.
Your responsibilities will include the development of both theoretical concepts and practical tools for the construction sector. Additionally, you are responsible for the development of theoretical concepts, automated workflows and algorithms, together with industry and research consortium partners in Switzerland. The exploration of implementation possibilities, validation and testing of proposed and developed solutions in pilot projects are also part of your expertise. As well as the engagement and collaboration with stakeholders such as construction companies, standardization bodies, consultants, and other industry partners to promote the adoption of the developed tools. Furthermore, the active participation in research activities, including publishing scientific papers and presenting findings at conferences and workshops, and the supervision of Master, and/or Bachelor students are your responsibility.
Your profile
- Bachelor in computer science, electrical engineering or related fields, and Master in computer science, architecture, engineering (civil, environmental), or life cycle assessment with strong IT skills
- Strong research skills with an understanding of circular economy practices
- Knowledge and experience in data analysis and database management, optimization, platforms and marketplace development, computer vision and machine learning
- Excellent organizational skills, with the ability to manage multiple tasks and prioritize effectively, while also fostering interdisciplinary collaboration
- Strong communication and writing skills in English, enabling effective collaboration and the preparation of scientific publications and reports
- Fluency in spoken and written English is a requirement. The ability to work with industry partners in German is a plus
- Ability to work in a team and together with industry partners
- Take initiative, be results-oriented, organized, and creative