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Ghent University invites applications for a First Stage Researcher position (R1) in Bioscience Engineering: Mathematical Modelling. The PhD work will be done within BIOSTAT, focusing on data collection and integration for reliable inference, including design and blending diverse data sources.
You will teach courses and contribute to department services. The appointment starts as early as 1 December 2026, with a two-year term renewable twice conditional on evaluation.
Organisation/Company Ghent University Research Field Biological sciences > Other Engineering > Other Environmental science > Earth science Environmental science > Other Mathematics > Applied mathematics Mathematics > Probability theory Mathematics > Statistics Researcher Profile First Stage Researcher (R1) Application Deadline 10 Nov 2026 - 22:59 (UTC) Country Belgium Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
ABOUT GHENT UNIVERSITY
Ghent University is a world of its own. Employing 15.000 people, it is actively involved in education and research, management and administration, and technical and social services on a daily basis. It is one of the largest, most exciting employers in the area and offers great career opportunities. With each of its 11 faculties and more than 100 departments offering state-of-the-art study programmes that are grounded in research in a wide range of academic fields, Ghent University is a logical choice for its employees as well as its students.
YOUR TASKS
At least 50% of your appointment will be dedicated to pursuing a PhD in Bioscience Engineering: Mathematical Modelling. You will join the research group in statistics, BIOSTAT ( www.biostat.ugent.be ), which develops statistical methods to address challenges related to our planet and environment, such as biodiversity loss, climate extremes, and environmental pollution. The doctoral research will focus on the statistical problem of efficient data collection and integration for reliable inference (sample and experimental design) including how high-quality data can be efficiently combined with large-scale but often incomplete or biased data sources, such as citizen science and satellite observations
WHAT WE ARE LOOKING FOR
WHAT WE CAN OFFER YOU
As Ghent University maintains an equal opportunities and diversity policy, everyone is encouraged to apply for this position.
For more information about this vacancy, please contact Prof. Stijn Luca ( stijn.luca@ugent.be ).