The AIDA group is seeking motivated candidates for up to three fully funded four-year PhD student positions in Artificial Intelligence, Machine Learning, and Data Visualization. Candidates with a PhD that are interested in a postdoc position, please do also contact us.
Our group conducts internationally top research in AI in the areas of machine learning and knowledge discovery. An overview of our group and research portfolio can be found at https://aida.ugent.be. We are looking for candidates for the following projects:
Machine learning on knowledge graphs. This project aims to overcome challenges created by both the diversity present in knowledge graphs and by their distributed nature, in comparison to current machine learning methods for graphs. Collaboration with the semantic web group and the recently founded SOLID lab Flanders.
Machine learning & interactive visualization for single-cell data. Single-cell data allows us to study biological processes in detail. This project aims to enable more generic use of expert knowledge in machine learning and visualization for biological data. Collaboration with the DAMBI research group (VIB & Ghent University).
Machine learning for the job market. People are all unique and perhaps jobs are too. This and other aspects make the job market a difficult setting, for example for recommenders. This project aims to better understand and tackle the challenges of applying machine learning in the job market. Collaboration with the VDAB (Flanders employment agency).
Funding comes from the ERC, FWO, and the Flanders AI Research programme.
Your profile
You will need to hold a master’s degree in a relevant area with demonstrated first-class performance (e.g., outstanding grades, thesis result, or publications). Ideal candidates demonstrate mastery of the core aspects of machine learning:
● Fundamentals of probability and statistics
● Algorithm design, discrete/continuous optimisation
● Programming (in Python, C++/Java, JavaScript, …)
Experience with data visualization, user interfaces, and/or cell biology is a plus.
The research environment
The research will be supervised by Prof. Tijl De Bie and Prof. Jefrey Lijffijt of AIDA, and the single-cell data project also by Prof. Yvan Saeys (https://www.dambi.ugent.be/). We are engaging international teams with a track record in world-leading research. We are part of the Ghent University IDLab and the cross-university Flanders AI Research initiative.
Ghent University is a comprehensive internationally leading research-intensive university. English is the working language; knowledge of Dutch or French is not required. The university also offers a wide range of courses for skills professionalization. Ghent is a historical, vibrant, and internationally minded city in Belgium with 260k inhabitants.
Further info & application procedure
Applications may be sent by email to jefrey.lijffijt at ugent.be. Please include a motivation letter, CV, and contact details of 1 to 3 referees. Do not include reference letters, these will be solicited by us. Please mention which project you are interested in. Suitable candidates will be invited for an interview. Please apply by Tuesday May 31, 2022. Late applications can be considered but the posts may already be filled.