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.


  • 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.


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).
—————–Quick Overview————-
Organization Stockholm University
Country Sweden
Fellowship Level Postdoctoral
Subject areas Material Science, Chemistry
Fellowship amount Varies
Eligibility Open to all nationalities
Deadline 7 July 2020

Leave a Reply

Your email address will not be published. Required fields are marked *