At Radboud University, we aim to make an impact through our work. We achieve this by conducting groundbreaking research, providing high-quality education, offering excellent support, and fostering collaborations within and outside the university. In doing so, we contribute indispensably to a healthy, free world with equal opportunities for all. To accomplish this, we need even more colleagues who, based on their expertise, are willing to search for answers. We advocate for an inclusive community and welcome employees with diverse backgrounds, cultures, and perspectives. Will you also contribute to making the world a little better? You have a part to play.
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Faculty of Science
The Faculty of Science (FNWI), part of Radboud University, engages in groundbreaking research and excellent education. In doing so, we push the boundaries of scientific knowledge and pass that knowledge on to the next generation.
We seek solutions to major societal challenges, such as cybercrime and climate change and work on major scientific challenges, such as those in the quantum world. At the same time, we prepare our students for careers both within and outside the scientific field.
Currently, more than 1,300 colleagues contribute to research and education, some as researchers and lecturers, others as technical and administrative support officers. The faculty has a strong international character with staff from more than 70 countries. Together, we work in an informal, accessible and welcoming environment, with attention and space for personal and professional development for all.
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.
Metadata is data about data. It plays a key role in allowing people to access and use the information in libraries and archive catalogues. Despite recent technical advances of AI for interpreting text and images, the generation of metadata for large collections of historical books, images, and texts remains an unsolved problem. In this project, we work together with the KB National Library of the Netherlands in order to put explainable AI to use in libraries. For example, the KB National Library is seeking ways to enrich metadata for illustrations contained in important portions of its historical book collection and the library is also in need of technology that can establish new links between books in their million-scale collection that explain how the books are related.
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. The project is part of the larger HAICu project, a Netherlands-wide initiative on AI and cultural heritage. 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.
As a PhD candidate, you will be affiliated with the Data Science Group at the Institute for Computing and Information Sciences (iCIS) whose home is the Faculty of Science at Radboud University. The Data Science Group comprises around 50 researchers with expertise in machine learning, information retrieval and other specialisations that are important for working with data. The group is involved with a large number of projects from medical to industrial, including projects that are developing new techniques in machine learning and work with large language models. You will collaborate closely with researchers at the Centre for Language Studies at the Faculty of Arts, who have expertise in the area of cultural heritage data and language technology.
You can apply only via the button below. Address your letter of application to Prof. Martha Larson. In the application form, you will find which documents you need to include with your application.
The first interviews will take place on Monday 20 and/or Wednesday 22 January. Any second interview will take place on Monday 27 January. You will preferably start your employment as soon as possible.
We can imagine you're curious about our application procedure. It describes what you can expect during the application procedure and how we handle your personal data and internal and external candidates.
Type of employment | Temporary position |
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Contract type | Full time |
First day of employment | 01-01-2025 |
Salary | Promovendus |
Salary |
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Number of positions | 1 |
Full-time equivalent | 1,0 |
City | Nijmegen |
County | Gelderland |
Country | Netherlands |
Reference number | 62.208.24 |
Contact |
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Published | 22.Nov.2024 |
Last application date | 05.Jan.2025 11:59 PM CET |