As the Postdoctoral researcher for Work Package 3, you will be appointed at the University of Amsterdam and will lead the development of advanced computational data analysis methodologies. Your primary goal is to connect different levels of the degradation pathway to the parent molecule and identify specific markers of LID using LC-HRMS data in collaboration with PhD1. The ultimate challenge is to correlate LC-MS data obtained from in-solution degradation, obtained by PhD1, and RS data acquired from the degradation in the solid phase obtained by PhD2. Specifically, you will:

• Build molecular networks based on both chemical structures and mass spectrometric (MS) data to unravel complex transformation pathways.
• Develop and implement suspect analysis and non-target workflows for the identification of transformation products (TPs) in real-world samples using data obtained by LC-MS.
• Create digital strategies to automate data pre-processing, from feature detection to componentization and library-based identification.
• Develop advanced tools for accurate and comprehensive data processing of LC-MS and optical spectroscopic signals
• Establish correlations between solution-based degradation data and solid-phase results to facilitate the use of liquid phase as a proxy for solid samples.
• Collaborate with private partners to transfer these computational tools and apply them to compounds of industrial and societal interest.

• A PhD degree in analytical chemistry with a strong background in data science or chemometrics;
• Experience with processing LC-HRMS data as described above is a must;
• Knowledge regarding (processing of) optical spectroscopic data is a pre;
• Demonstrated experience in developing non-target screening workflows and suspect analysis for complex mixtures;
• Proficiency in building and interpreting molecular networks using MS data;
• Strong knowledge of advanced computational approaches, chemometrics, and model building for data fusion;
• Motivation to take ownership and independently tackle solutions to scientific challenges;
• Willingness to collaborate with and mentor PhD candidates within the ConSOLIDATe project and across different research groups;
• Excellent communication skills in oral and written English;
• Experience in the domain of coatings, pharmaceuticals, art preservation, or water purification is an advantage.

In your application letter, please specify how your experience in molecular networking and non-target analysis will contribute to the ConSOLIDATe project and the development of digital strategies for understanding transformation products.

A temporary contract for 38 hours per week for the duration of 2 years, with a probation period of 2 months. The preferred starting date is October 2026.  The gross monthly salary, based on 38 hours per week is 3.546 - 5.538 on a salary scale 10. This does not include 8% holiday allowance and 8,3% year-end allowance. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Dutch Universities is applicable.

Besides the salary and a vibrant and challenging environment at Science Park we offer you multiple fringe benefits:

• 232 holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January;
• multiple courses to follow from our Teaching and Learning Centre;
• multiple courses on topics such as leadership for academic staff;
• multiple courses on topics such as time management, handling stress and an online learning platform with 100+ different courses;
• 7 weeks birth leave (partner leave) with 100% salary;
• partly paid parental leave;
• the possibility to set up a workplace at home;
• a pension at ABP for which UvA pays two third part of the contribution;
• the possibility to follow courses to learn Dutch;

Are you curious to read more about our extensive package of secondary employment benefits, take a look here.