Revealing Urban Waste Dynamics From Images with Ai

19 uur geleden

Delft, Nederland TU Delft Voltijd

**Revealing Urban Waste Dynamics from Images with AI**:
**Are you passionate about AI, urban sustainability, and real-world impact? Join the "Clean Inner City" initiative as a postdoc and revolutionize urban waste management in Amsterdam**

**Job description**
The city of Amsterdam is actively developing new policies and pilot projects to transform how it manages urban waste. In collaboration with AMS (Amsterdam Institute for Advanced Metropolitan Solutions), the city seeks innovative solutions to tackle the growing issue of waste and litter, particularly in its city center. To support this effort, the AMS Institute and the Municipality of Amsterdam have launched the “Clean Inner City” project to create, test, and evaluate advanced solutions for sustainable urban waste management.

This postdoctoral position, funded under the "Clean Inner City" initiative, focuses on developing a smart sensing and monitoring system to better understand urban waste dynamics in Amsterdam. This includes but is not limited to, identifying entry processes of plastic (and other types of) waste into the environment from images, describing transport and retention processes in urban water systems, and exploring key explaining variables. The postdoc researcher will work on (1) collecting images at relevant study sites in Amsterdam, (2) designing and training AI-based models using deep learning, and (3) identifying and classifying the waste into different categories and exploring its transport dynamics in urban environments.

Key tasks of this postdoc position include:

- Developing a camera-based AI system to collect images at several field sites in Amsterdam.
- Collecting and curating image data (e.g., street-view images, hydrometeorological images) and potentially generating simulated datasets.
- Developing and training specialized deep learning models for waste-objects detection, classification of different waste types, and identifying waste patterns and actors contributing to these waste patterns.
- Collaborating with interdisciplinary teams and stakeholders to integrate the AI model into a real-world waste monitoring system.

**Job requirements**
You should have:

- a PhD degree (or can be expected in the coming months) in computer science, artificial intelligence, environmental science/engineering, civil engineering, geosciences, or a related discipline.
- passion to work on an emerging research topic with high societal relevance.
- interest and expertise in object detection from images and/or classification using deep learning, preferably with a strong publication record. Experience in plastic (or waste in general) detection or classification is a plus but not mandatory.
- affinity and motivation to plan and conduct (field) experiments in the Netherlands.
- demonstrated enthusiasm and proficiency in working with (complex) observational datasets.
- good command of English (oral and written).
- excellent programming (Python or/and C++), communication, and presentation skills.
- affinity with working in multi-disciplinary teams across institutes in an internationally oriented environment.
- enthusiasm and ability to publish research results in peer-reviewed academic journals/conferences.

**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 Architecture & the Built Environment**
The Faculty of Architecture and the Built Environment has a leading role in education and research worldwide. The driving force behind the faculty’s success is its robust research profile combined with the energy and creativity of its student body and academic community. It is buzzing with energy from early in the morning until late at night, with four thousand people studying, working, designing, conducting research and acquiring and disseminating knowledge. Our faculty has a strong focus on 'design-oriented research’, which has given it a top position in world rankings.

Staff and students are working to improve the built environment with the help of a broad set of disciplines, including architectural design, urban planning, building technology, social sciences, process management, and geo-information science. The faculty works closely with other faculties, universities, private parties, and the public sector, and has an extensive network in the Netherlands as well as internationally.

We plan to conduct two rounds of interviews, which will be concluded by the end of March 2025. While the intended start date is in Q2 202

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