The MeBioS group performs groundbreaking research on innovative sensor technologies and the associated data analysis methods to understand and control the quality of biological products and processes. The associated data research involves the optimal design of experiments, chemometrics, process monitoring and control, as well as artificial intelligence and deep learning.
Project: Early detection of agricultural machinery failure is essential for safeguarding the ever more complex machines. As humans can often smell that something is wrong, the aim of this project is to investigate the potential of electronic noses (gas sensor arrays) to smell defects at an early stage. This project involves characterization of the smell of the failures, selection of the most suitable sensing technologies and evaluation of the selected technologies in the field.
Profile: To perform this research, the MeBioS division is looking for a highly motivated PhD candidate with an interest in agricultural machinery, electronic noses and advanced data analysis methods.
Do you hold a master in (bioscience) engineering, computer science, data science or physics? Do you have a creative, critical, analytical and innovative mindset? Are you eager to combine scientific knowledge and challenges with hands-on experience in implementing sensing technology on agricultural machinery? Do you have excellent oral and written communication skills in English? Then you may be the perfect candidate to join our team. Experience in one or more of following fields is a clear plus: aroma profiling with GC/MS, electronic nose technology, multivariate data analysis, programming in Matlab or Python.
● We offer a full-time PhD position for 1 year. After positive evaluation, the contract can be extended to 4 years.
● Excellent guidance by our young, dynamic and multidisciplinary team.
● State of the art research infrastructure.
● A challenging job in a young, dynamic environment.
● High level scientific training at a top-ranked university.
● Being part of a world-class research group with strong industry collaboration.
● Remuneration according to the KU Leuven salary scales
For more information please contact Prof. dr. ir. Wouter Saeys, tel.: +32 16 32 85 27, mail: firstname.lastname@example.org or Dr. Maarten Hertog, tel.: +32 16 32 23 76, mail: email@example.com. You can apply for this job no later than September 12, 2022 via the online application tool
KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at diversiteit.HR@kuleuven.be.