Vacancies

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Postdoc on the subject of Bias and Fairness in Knowledge Graphs

• Location: Amsterdam
• Institution: CWI
• Function type: Postdoc position
• Closing date: 19 December 2024

Centrum Wiskunde & Informatica (CWI) in Amsterdam has a vacancy for a 3-year postdoc position in the Human Centered Data Analytics research group on the subject of Bias and Fairness in Linked Open Data.

Within the HAICu team, the postdoc researcher will participate in Work Package 5, titled “Construction of polyvocal, multimodal narratives.” In this Work Package, CWI will collaborate with UvA and VU and with the National Museum of World Cultures.

Are you inspired by the idea of an inclusive Semantic Web? Apply here.

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Putting Explainable AI to Work to Support Cultural Heritage

• Location: Nijmegen
• Institution: Radboud University, Faculty of Science
• Function type: PhD position
• Closing date: 5 January 2025

In this multidisciplinary PhD project supervised by Dr Iris Hendrickx and Prof. Martha Larson, you will combine insights from explainable AI, data science, information retrieval, natural language processing and library science to address the practical challenges faced by large libraries.

You will carry out your research in collaboration with the KB National Library of the Netherlands, and you will have the opportunity to work with experts on the library premises in The Hague. There are many directions in which your research can contribute to the library and the direction of research will be determined in collaboration with experts from the library. The library will also provide rich data sets for use in the research and criteria for evaluating the success of the approaches you develop. You will be expected to conduct high-quality research, proposing creative solutions, working diligently, interacting with peers throughout the Netherlands, and publishing papers at top venues. Your teaching load will be up to 10% of your working time.

Are you curious about what happens behind the scenes at large libraries? Do you want to explore how advancements in AI can support librarians and ensure these innovations make a meaningful societal impact? If so, we invite you to apply for this PhD position here.

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Deep Learning for Image Classification and Generation: New Discoveries with Little Data

• Location: Tilburg
• Institution: Tilburg University
• Function type: PhD position
• Closing date: 1 December 2024

Tilburg University and partners are seeking a candidate for a 4-year PhD position to investigate deep learning using sparse labels in cultural heritage data, as part of the national HAICu project. The project will be coordinated by Eric Postma (CSAI, Tilburg University), Anne Schulp (Naturalis/Utrecht University), and Dan Stowell (CSAI, Tilburg University/Naturalis). The project is interdisciplinary at the intersection of Deep Learning for Vision and Paleontology.

The focus of the PhD project will be on developing and evaluating existing and novel computer vision techniques for the automatic visual classification of paleontologic objects, i.e., fossil bones and bone fragments. Based on existing and newly acquired digitized data of bones and bone fragments, the PhD candidate will explore the latest AI algorithms for visual classification to overcome the main challenge: sparse data. For many bone fragments, only a few examples are available. Modern AI techniques can overcome such sparsity by imposing domain-specific constraints or by pretraining on related data. In addition, the candidate will explore generative algorithms to "auto-complete" bone fragments, offering context to the fossil discoveries by the citizen scientist community.

You can find more information and apply here.

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PhD position Digital Humanities, AI, and Citizen Science

Within the HAICu consortium, we are looking for a talented and motivated PhD candidate in the field of Digital Humanities to research the motivation of citizen scientists to annotate textual and graphic patterns in digitized multimodal collections (e.g. handwritten archives). The candidate should also be able to evaluate and co-develop a web interface that ensures the appropriate division of labour between ‘humans in the loop’ and machines in the context of continuously learning Artificial Intelligence (AI)-driven systems.

• Location: Enschede
• Institution: University of Twente (UT)
• Function type: PhD position
• Closing date: 13 December 2024

You can find more information and apply on the UT website.

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Job opportunities at the European AI Office for Seconded National Experts from EU public bodies

The Commission has issued calls to recruit Seconded National Experts (SNEs), to be posted at the European AI Office, as Legal, Policy or Technology specialists. They will contribute to the implementation of the AI Act. SNEs are public sector employees from EU Member States, including for instance from ministries or universities, who are seconded to an EU institution for a fixed period.

If you are interested, please contact your employer’s HR department in your Member State, provided that they are a public body. You can also contact your country's permanent representation to the EU for information about current opportunities. They will be able to advise you on how to show interest in these positions.