We have two PhD positions available to work for four years in close collaboration between all these sites. The aim of the project is to develop robust methods for data analysis of chromatographic methods (including, but not limited to: GCxGC, GCxGC-MS, LC-Orbitrap/MS, UPLC-MS). The focus will be the development of algorithms to automate the whole process of data treatment (including peak detection, deconvolution and data fusion), using multivariate analysis and Bayesian statistics. Application areas include forensics and public safety (NFI), agriculture and food analysis (RIKILT) and nutrition, pharmaceuticals, and advanced material sciences (DSM).
The ideal candidate should have an MSc degree in chemistry, mathematics, physics, computer science or equivalent discipline, with a strong background in statistics and analytical chemistry (chromatography and mass spectrometry). Also, the candidate should have some proficiency in programming languages (e.g. Matlab). The candidates are expected to interact in a multidisciplinary team, comprising mathematicians, chemists and software engineers in the four sites. The candidates will be based at University of Amsterdam, but they will be seconded at the different sites, to ensure applicability and implementation of the developed algorithms at routine level.