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| layout: page | ||
| title: "Revealing Urban Waste Dynamics from Images with AI" | ||
| permalink: /jobs/postdoc_cleancity_2025/ | ||
| --- | ||
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| #### 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! | ||
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| ### Job description | ||
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| 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)](https://www.ams-institute.org/), 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. | ||
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| 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. | ||
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| 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. | ||
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| ### Job requirements | ||
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| 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. | ||
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| ### Research group(s) | ||
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| The postdoc will be based in the [3D Geoinformation research group](https://3d.bk.tudelft.nl/) at [Delft University of Technology (TU Delft)](https://www.tudelft.nl/en/), | ||
| and it is a joint position with the [River Plastic Team](https://plasticmonitoring.com/) of the [Hydrology and Environmental Hydraulics group (HWM)](https://www.wur.nl/en/research-results/chair-groups/environmental-sciences/hydrology-and-environmental-hydraulics-group.htm) | ||
| at [Wageningen University & Research (WUR)](https://www.wur.nl/en.htm). The candidate will be supervised | ||
| by Dr. [Liangliang Nan](https://3d.bk.tudelft.nl/liangliang/) (TU Delft), Dr. [Tim van Emmerik](https://www.wur.nl/nl/personen/tim-van-emmerik.htm) (WUR), | ||
| and Prof. [Jantien Stoter](https://3d.bk.tudelft.nl/jstoter/) (TU Delft). You will be expected to spend 1-2 days per week at WUR and/or AMS, | ||
| but this is open for discussion and may be subject to change depending on the project needs and the candidate’s interest. | ||
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| The host research group, i.e., 3D Geoinformation research group, is part of the TU Delft. The group focuses on the technologies | ||
| underpinning geographical data, and aims to design, develop, and implement open data and open-source solutions to model 3D cities, buildings, and | ||
| landscapes in 3D for environmental and urban studies. It is a multidisciplinary group of around 25 people, including computer scientists, geomatics | ||
| engineers, and geographers. It has a history of successful collaborations with the industry and the government: its research has led to [open-source | ||
| software](https://3d.bk.tudelft.nl/code/), standards, and open data for the reconstruction, use, and management of 3D geographic information. | ||
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| Within WUR, your research will be embedded within the HWM group, where a lot of research is done on plastic transport in urban water systems, | ||
| rivers, and estuaries. You will join the River Plastic Team, with around 9 other (PhD) researchers working on plastic pollution in aquatic | ||
| environments. The HWM group has a strong (international) network with academic and societal partners that will benefit your research. | ||
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| ### Conditions of employment | ||
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| - Duration of contract is 2 years. | ||
| - Hours per week: 36 - 40. | ||
| - Salary range: €3345 - €5278. | ||
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| Salary and benefits are in accordance with the [Collective Labour Agreement for Dutch Universities](https://www.universiteitenvannederland.nl/en/collective-labour-agreement-of-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. | ||
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| For international applicants, TU Delft has the [Coming to Delft Service](https://www.tudelft.nl/en/about-tu-delft/working-at-tu-delft/coming-to-the-netherlands-tu-delft/support-for-international-employees). | ||
| 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](https://www.tudelft.nl/en/about-tu-delft/working-at-tu-delft/coming-to-the-netherlands-tu-delft/support-for-international-employees/at-tu-delft/dual-career-programme) | ||
| for partners and they organise events to expand your (social) network. | ||
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| ### Application procedure | ||
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| Are you interested in this vacancy? Please apply **no later than 9 February 2025** via the application button in | ||
| [this page](https://careers.tudelft.nl/job/Delft-Revealing-Urban-Waste-Dynamics-from-Images-with-AI-2628-CD/809508002/) | ||
| and upload the following documents: | ||
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| - A CV (2 pages) including key publications. | ||
| - A motivation letter (1 page) describing your motivation for the project and how your experience and competencies fit the position. | ||
| - One output (paper, technical report, or other relevant document) that best relates to the position. | ||
| - Up to three key outputs, each with a brief description of your role and up to three impact indicators. | ||
| - Contact details of up to three references (recommendation letters not required). | ||
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| 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 2025, there | ||
| is flexibility to accommodate individual circumstances. | ||
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| #### Please note: | ||
| - Only online applications are accepted. We will not process applications sent by email and/or post. | ||
| - A pre-employment screening can be part of the selection procedure. | ||
| - For the final candidates, a knowledge security check will be part of the application procedure. For more information on this check, please consult Chapter 8 of the [National Knowledge Security Guidelines](https://open.overheid.nl/documenten/ronl-5379d1b4f8b9784bf518251032507a965be9c92d/pdf). We carry out this check on the basis of legitimate interest. | ||
| - Please do not contact us for unsolicited services. | ||
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| ### Additional information | ||
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| For information about the application procedure, please contact Paulien Stastra, HR advisor, e-mail: [[email protected]](mailto:[email protected]). | ||
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| For more information about this position, please contact directly Dr. [Liangliang Nan](https://3d.bk.tudelft.nl/liangliang/), | ||
| Dr. [Tim van Emmerik](https://www.wur.nl/nl/personen/tim-van-emmerik.htm), and Prof. [Jantien Stoter](https://3d.bk.tudelft.nl/jstoter/). | ||
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