Postdoc in Material Identification: Exciting opportunity for a Postdoc position at Delft University of Technology in a cutting-edge project aiming to develop autonomous material identification systems for end-of-life buildings.
- Postdoc AI-Enabled and Sensor-Based Autonomous Material Identification
Designation
- Job Type: Postdoc Position
- Scientific Field: Engineering
Research Area
- Area: Resources and Recycling
- Location: Delft University of Technology, Netherlands
Eligibility/Qualification
- Desired Level of Education: Doctorate
- Background: Applied Mathematics, Physics, Computer Science, Civil Engineering, or Automation/Electrical Engineering
- Experience: Demonstrated expertise in AI, machine learning, sensor technologies, and mechanical/electrical devices integration
- Skills: Proficiency in data analysis, image processing, and programming languages such as Python
Job Description
- Define specifications and scenarios for implementing identification systems
- Develop AI algorithms for autonomous identification using non-invasive sensors
- Create invasive identification tools incorporating advanced sensors like LIBS
- Integrate tools with consortium robots and validate in controlled environments
- Collaborate with partners and generate progress reports and publications
How to Apply
- Interested applicants should apply online via the application button
- Submit CV, cover letter, MSc + PhD degrees, abstracts, publication list, language proficiency proof, and references
Last Date for Apply
- Application Deadline: October 28, 2024
This job opportunity offers a unique chance to contribute to cutting-edge research at a world-renowned university. Join us in exploring innovative solutions for sustainable construction practices and material identification. Apply now and be part of a transformative project.
