Postdoctoral Fellow in Computational Mass Spectrometry 1897 views

The Department of Materials and Environmental Chemistry (MMK), the Faculty of Natural sciences at Stockholm University has open Postdoctoral Fellow position in Computational Mass Spectrometry.

About the Project:

• The postdoctoral position will be located in the research group of Prof. Kruve and associated with the project “Quantitative non-targeted screening for understanding mixture toxicity”.
• The project aims to develop novel machine learning approaches for quantitative non-targeted LC/HRMS screening.
• 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.

Qualifications:

• Applicant must hold a Swedish doctoral degree or an equivalent degree from another country.
• 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.
• Candidates with knowledge in engineering of machine learning algorithms are especially appreciated.

Applications:

Apply online and include the following information with application:

• Candidate’s contact details and personal data; highest degree; language skills; contact details for 2–3 references.
• Cover letter
• CV – degrees and other completed courses, work experience and a list of publications
• Research proposal (no more than 3 pages)
• Copy of PhD diploma
• Letters of recommendation (no more than 3 files)
• Publications in support of application (no more than 3 files).