Postdoctoral Fellow in Computational Mass Spectrometry
Postdoctoral Fellow in Computational Mass Spectrometry
Stockholm University - Department of Materials and Environmental Chemistry
Stockholm, Sweden
Project description
The post-doctoral position will be located in the research group of Assoc. Prof. Kruve and associated with the ERC project ” Machine Learning and Mass Spectrometry for Structural Elucidation of Novel Toxic Chemicals”. The project aims to develop novel machine learning approaches for identification, quanitifcation and toxicity assesment in non-targeted LC/HRMS screening.
Main responsibilities
The position involves research machine learning algorithms for LC/HRMS. This includes modelling of fragmentation pattern and ion mobility data as well as ionization behaviour, including adduct formation and ionization efficiency.
Qualification requirements
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.
Assessment criteria
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 research skills. Previous experiences in computational mass spectrometry, chemoinformatics, bioinformatics or similar are required. Proficiency in developing machine learning algorithms for regression, classification and clustering is required.
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