1. You have good knowledge about AI research and strong programming skills.
2. You have a PhD degree in a relevant field and good programming skills, or you are alternatively a programmer with sufficient experience in an academic or industrial research environment.
3. Demonstrated expertise in particular application domains of AI is an advantage. Specifically, we are looking for candidates with expertise in one or more of the following areas: biomedical applications of AI, computer vision, time series analysis and signal processing, natural language processing and generative AI.
4. In-depth familiarity with a wide range of methods of artificial intelligence and machine learning.
5. Proven record of research activities (publications, code repositories, funding proposals)
6. Proficient in programming, including the use of common software packages (scikit-learn, Tensorflow/Keras/PyTorch, etc.)
7. Good software engineering skills (modularity, reusability, version control, quality control, documentation, etc.)
8. Experience with utilizing (cloud) computing resources and coding tools
9. Ability to clearly explain AI-related terms and concepts to researchers without AI expertise.
10. Interest and ability to quickly grasp challenges and research approaches of other research domains and a passion to advance such domains via the use of AI.
11. Passion for building pragmatic research software tools that empowers others.
To further advance the application of AI in a wide range of research domains, we are creating a small team of AI research engineers with the mission to support KU Leuven researchers in their definition and implementation of AI-related research questions. The AI research engineers are directly situated within Leuven.AI and will interact with researchers from all across the university. They will
12. meet with a wide range of KU Leuven researchers and analyze if and how AI can be a viable component in their research projects and proposals;
13. develop realistic plans for the application of AI, including a choice of specific methods, toolboxes to use, time frame for the implementation, and analyze the possibilities and limitations of AI in
the corresponding applicational context;
14. contribute to project proposals by defining corresponding AI approaches;
15. guide AI users throughout their implementation of AI tools;
16. develop application-specific AI-based research software in close collaboration with AI users;
17. compile short, project-specific instructions on the use of relevant AI tools;
18. interact with AI experts about the application or further development of KU Leuven state-of-the-art AI tools;
19. identify synergies across the various interdisciplinary projects.
Note: The focus of this position is the support of and collaboration with a wide range of researchers. Publishing might be possible in relation to supported projects, yet it is not a priority for this position
Leuven.AI unites AI and its renowned AI experts at KU Leuven in an interdisciplinary institute with societal relevance. It involves more than 100 professors, 500 researchers, belonging to 11 faculties and 8 campuses, making artificial intelligence a focal point of research at KU Leuven. Leuven.AI fosters AI research by providing a forum for exchanging ideas and for initiating projects and collaborations on AI. It offers the new AI as a Service (AIaaS) with the aim to foster AI and its applications across KU Leuven. It offers expertise on all aspects of AI, including on the possibilities and limitations of AI and its implications from an ethical, legal and societal perspective.
20. A full-time position at Leuven.AI, the KU Leuven institute for Artificial Intelligence.
21. A fully funded contract for 1 year, with the ambition to develop this into a permanent position.
22. A dynamic working environment and stimulating scientific surrounding of KU Leuven, one of Europe’s top universities.
23. The possibility to participate in a wide range of interdisciplinary collaborations.