Postdoc Ai-enabled and Sensor-based Autonomous

4 maanden geleden

Delft, Nederland TU Delft Voltijd

Postdoc AI-enabled and Sensor-based Autonomous Material Identification-
Job description

The construction sector is responsible for roughly 39% of global greenhouse gas emissions [Moschen-Schimek; Huber-Humer; 2023]. To achieve a sustainable and resilient society, it is crucial to comprehend the performance of existing built works and their potential for circularity at the end of their life cycles. Digitalization of the deconstruction process is an essential innovation for the effective multi-cycle management of components to reduce Construction and Demolition waste (C&DW) and emissions.

The Horizon Europe project DISCOVER involves 14 partners with researchers from universities, research centers, and industries, working closely to reach a common goal: to develop an autonomous, synchronous, continuous and intelligent identification and data analysis system for materials and product identification systems in end-of-life buildings. The target will be to achieve an objective and digitalized assessment of materials, products, and value embedded in the buildings that will be deconstructed.

The Resources and Recycling group at the Delft University of Technology is the partner of this project, developing innovative identification and sorting technologies like LIBS-based material identification systems.

Research in the Resources and Recycling group has a reputation for moving innovative physics into industrial reality, resulting in six spin-out companies to date. The project offers the opportunity for a new postdoc to join our team and work with innovative industries involved in the DISCOVER project.

**_ The primary responsibilities of this position will include:_**
- Developing AI algorithms that can autonomously identify various construction components using data from non-invasive sensors (e.g., RGB-D cameras, NIR, and LIDAR).
- Developing an invasive identification tool that has drilling capability and incorporates advanced sensors like LIBS.
- Integrating the identification tool with robots developed by other partners in the consortium and validating it in a controlled real environment.
- Communicate and meet with consortium partners for collaborative work on planned activities.
- Writing deliverables, including progress reports and reputable journal publications.

**Requirements**:

- Resources and Recycling group seeks an enthusiastic postdoc with a background in Applied Mathematics, Physics, Computer Science, Civil Engineering, or Automation/Electrical Engineering.
- Demonstrated experience in one or more aspects of (1) AI (in particular computer vision), (2) machine learning for data analysis, (3) sensor technologies (preferably for characterising material properties), (4) design and integration of mechanical/electrical devices
- Have the interests to develop the relevant needed techniques in this project actively.

Conditions of employment

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.

From 1 September next, a salary increase of 3.7% applies due to a Collective Agreement amendment, followed by an additional 1% increase on 1 January 2025.

For international applicants, TU Delft has the Coming to Delft Service. This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network.

TU Delft (Delft University of Technology)

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

Challenge. Change. Impact

Faculty Civil Engineering and Geosciences

The Faculty of Civil Engineering & Geosciences (CEG) is committed to outstanding international research and education in the field of civil engineering, applied earth sciences, traffic and transport, water technology, and delta technology. Our research feeds into our educational programmes and covers societal challenges such as climate change, energy transition, resource availability, urbanisation and clean water. Our research projects are conducted in close cooperation with a wide range of research institutions. CEG is convinced of the importance of open science and supports its scientists in integrating open science in their research practice. The Faculty of CEG comprises 28 research groups in the followi

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