Student Assistant in AI for Spotting Toxic Clouds

Student Assistant in AI for Spotting Toxic Clouds

Published Deadline Location
9 Jan 13 Feb Amsterdam

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Job description

Are you interested in building a software tool for social good? We are recruiting a student assistant to help program a software tool for a citizen science project. The tool will be used by local communities in the IJmond region in the Netherlands to monitor air pollution from a steel-making factory using camera data. More information about the project can be found at this website.

Your main tasks include:
  • Build a data engineering pipeline to extract video clips from the camera stream for citizens to label whether the clips contain smoke emissions or not, based on available code from the AI against Toxic Clouds challenge;
  • Adapt an available computer vision pipeline to detect smoke emission in the IJmond camera data, which includes running experiments to evaluate model performance, and also deploying the model to process the live camera stream;
  • Engineer a dashboard for local communities to better understand smoke emissions from the steel factory (e.g., how bad the emission is, how frequent the emissions are, and how likely the emissions will violate air pollution law).


University of Amsterdam (UvA)


Our ideal candidate is a current master’s student who can work with Python and JavaScript/HTML/CSS code. You are encouraged to take a look at the current code infrastructure before applying for this vacancy.

Applicants for this position must be registered students at the University of Amsterdam.

Conditions of employment

We offer an employment contract for the duration of around 7 months, preferably from February 2024. The employment contract is for 2-19 hours per week, depending on the year of study you are in. 1st year students cannot work as Student Assistant. The preferred duration is from February to the end of August, where the student assistant works part-time from February to June and works full-time in July and August. This means we expect the student assistant to maintain a valid student status at UvA at least until the end of August 2024.

Your salary depends on the academic year: €2,618 (2nd year bachelor's) to €2,846 (master's) gross per month based on full-time working time (38 hours per week). UvA additionally offers an extensive package of secondary benefits, including 8% holiday allowance and a year-end bonus of 8.3%. For this position we can not sponsor a visa. The Collective Labour Agreement of Universities of the Netherlands is applicable.

Besides the salary and a vibrant and challenging environment at Science Park we offer you multiple fringe benefits:
  • 232 holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January;
  • The possibility to set up a workplace at home;
  • A pension at ABP for which UvA pays two third part of the contribution.

Are you curious to read more about our extensive package of secondary employment benefits, take a look here.


Faculty of Science

The University of Amsterdam (UvA) is the Netherlands' largest university, offering the widest range of academic programmes. At the UvA, 42,000 students, 6,000 staff members and 3,000 PhD candidates study and work in a diverse range of fields, connected by a culture of curiosity.

The Faculty of Science (FNWI) has a student body of around 8,000, as well as 1,800 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain.

The mission of the Informatics Institute (IvI) is to perform curiosity-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component.

The Multimedia Analytics Lab Amsterdam (MultiX) performs research on multimedia analytics by developing AI techniques for getting the richest information possible from the data, visualizations, and interactions surpassing human and machine intelligence. We blend multi-modal data in effective interfaces for applications and social impact in public health, forensics and law enforcement, cultural heritage, and data-driven business.

Want to know more about our organisation? Read more about working at the University of Amsterdam.


  • Education
  • Natural sciences
  • 2—19 hours per week
  • University graduate
  • 12472


University of Amsterdam (UvA)

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Science Park 904, 1098XH, Amsterdam

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