The Department of Environmental Science (ACES) is one of the largest departments in the Faculty of Science at Stockholm University. The Department is divided into four units with more than 170 researchers, teachers, doctoral students and technical/administrative staff from over 30 countries. Research and teaching focuses on chemical contaminants, atmospheric science, biogeochemistry and (eco)toxicology. As an employee at the Department of Environmental Science you will be part of a dynamic environment with work being done in leading research areas and with a strong international profile. More information about us, please visit: The Department of Environmental Science.
A postdoctoral fellow with data science expertise is being recruited to lead the exploration of large nontarget mass spectrometry datasets by multivariate techniques and machine learning approaches. The successful applicant will contribute to the development or application of in silico tools to meet scientific objectives in a major national project, Mistra SAFECHEM, and in the international EU project, INQUIRE. In these projects we have generated large strategic datasets from the systematic non-target analysis of air and water samples using high-resolution mass spectrometry. A data scientist is now needed to use data-driven approaches for the identification of hazardous substances based on the analytical data, spatial patterns, and sample toxicity data from our collaborators. The overall aims of these projects are to discover and reduce hazardous chemicals in our homes and in the ambient environment.
The major responsibilities will be the analysis and modeling of nontarget mass spectrometry datasets (feature lists containing known and unknown substances in air or water) generated by HPLC- or GC-high resolution mass spectrometry. Suitable supervised multivariate modeling and machine learning approaches should be used to identify robust associations between chemical concentrations and toxicity (in air samples), and between mass spectral data and spatial patterns (in water samples). You will also lead the development of machine learning tools by training models to identify hazardous chemicals from mass spectrometry data. The postdoctoral fellow will be expected to lead and communicate the research and results as part of a multidisciplinary and international team. The postdoctoral fellow will be supervised by Professors Jonathan Martin and Anneli Kruve. The successful candidate will work primarily at Science for Life Laboratory (SciLifeLab) with a diverse research group in chemical exposomics.
Postdoctoral positions are appointed primarily for purposes of research. Applicants are expected to hold a Swedish doctoral degree or an equivalent degree from another country.
The degree must have been completed at latest before the employment decision is made, but no more than three years before the closing date. An older degree may be acceptable under special circumstances. Special reasons refer to sick leave, parental leave, elected positions in trade unions, service in the total defense, or other similar circumstances as well as clinical attachment or service/assignments relevant to the subject area.
In the appointment process, special attention will be given to demonstrable research skills in data science, including previous applications of machine learning and multivariate analysis. Documented ability to process and interpret large datasets using open-source software (e.g. R and Python) is a must. Previous research experience in mass spectrometry will be considered a merit, but not a must.
The position involves full-time employment for a minimum of two years and a maximum of three years, with the possibility of extension under special circumstances. Start date 2025-05-02 or as per agreement.
With us, you will experience the dynamic interaction between higher education and research that makes Stockholm University an exciting and creative environment. You will work in an international environment and get favourable conditions. The university is located in the National City Park with good transport links to the city.
Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all.
Further information about the position can be obtained from the Unit Head, Professor Jonathan Martin, phone: +46 8 16 20 29, jonathan.martin@aces.su.se.
Apply for the position at Stockholm University's recruitment system. Attach a personal letter and CV as well as the attachments requested in the application form. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the job advertisement, and that it is submitted before the deadline.
The instructions for applicants are available at: How to apply for a position.
Type of employment | Temporary position |
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Contract type | Full time |
Salary | Individual salary setting |
Number of positions | 1 |
Full-time equivalent | 100 % |
City | Stockholm |
County | Stockholms län |
Country | Sweden |
Reference number | SU FV-0213-25 |
Contact |
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Union representative |
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Published | 17.Jan.2025 |
Last application date | 23.Mar.2025 11:59 PM CET |