Postdoctoral Researcher in AI and Vision Technology (Construction, Remote)

Job summary

This position involves developing a deep learning-based image analysis framework for real-time monitoring of concrete production using hyperspectral imaging data. The role is part of a project aimed at enhancing the quality control and performance assessment of concrete materials.

Qualifications

• PhD degree (or equivalent) in deep learning, big data, computer vision, or related fields.
• Experience in in-line process monitoring or similar areas.
• Competence in concrete characterization and experimental research is preferred.
• Strong communication skills and fluency in English.
• Ability to work both independently and as part of a team.

Responsibilities

• Implement and optimize deep learning models for quality control in concrete production.
• Develop predictive algorithms using hyperspectral imaging to assess material properties.
• Create a graphical user interface for non-expert users.
• Collaborate with an interdisciplinary team and disseminate research findings through publications and conferences.
• Engage in teaching and supervising PhD and MSc student projects as appropriate.

Skills

• Proficiency in deep learning and computer vision techniques.
• Familiarity with big data analytics and in-line monitoring technologies.
• Strong problem-solving skills and a creative approach to research.

Education

• A PhD degree in a relevant field is required.

Tools

• Experience with deep learning frameworks and hyperspectral imaging technologies.