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Position: PhD student in Analytical Chemistry within High Resolution Mass Spectrometry Institution: Stockholm University, Department of Chemistry Location: Stockholm, Stockholms län, Sweden Employment type: Temporary, full-time (100% FTE) Salary: Fixed salary Number of positions: 1 Reference number: SU FV-0863-26 About the Department of ChemistryThe Department of Chemistry, with more than 200 employees, is one of the largest departments at Stockholm University. Research spans all areas of chemistry, including analytical chemistry, physical chemistry, materials chemistry, inorganic and structural chemistry, and organic chemistry. Projects range from theoretical to experimental, from basic research to applied work, often focusing on sustainable chemistry and advanced analytical methods of chemicals and materials. The department has a well-developed research infrastructure with state-of-the-art equipment and qualified support from staff scientists. The department hosts a Bachelor's degree programme in chemistry and three Master's programmes: analytical chemistry, sustainable chemistry, and organic chemistry. PhD programmes are conducted in five areas: analytical chemistry, physical chemistry, materials chemistry, inorganic chemistry, and organic chemistry. More information: Department of Chemistry Project descriptionProject title: Pinpointing toxic chemicals from mass spectrometric data with supervised and unsupervised machine learning Supervisors: Prof. Anneli Kruve (main supervisor); Prof. Jonathan W. Martin (co-supervisor) This project aims to discover toxic and structurally novel chemicals in high-resolution mass spectrometric (HRMS) data used for non-target analysis. It will develop a combination of supervised and unsupervised machine learning strategies to identify chemicals with high toxicity. Different clustering, encoding, and regression techniques will be used and combined. The project will address research challenges in handling toxicity data, multidimensional HRMS data, and decoding structure-relevant information from spectral data. Complementary chromatographic methods for detecting highly polar and highly volatile chemicals will also be developed. The ideal applicant is proactive, has a problem-solving mindset, and is motivated to conduct interdisciplinary research at the interface of toxicology, machine learning, and mass spectrometry. Candidates with experience in toxicology, machine learning, or handling HRMS data are encouraged to apply. Qualification requirementsGeneral entry requirements:
Specific entry requirements (Analytical Chemistry):
Selection criteriaSelection will be based on the applicant’s capacity to benefit from the training, assessed by:
Admission Regulations: Doctoral Studies at Stockholm University About the employment
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ApplicationApply via Stockholm University’s recruitment system. Attach a personal letter, CV, and required documents. Ensure the application is complete and submitted before the deadline. Instructions: How to apply for a position Published: 17 Mar 2026
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