Postdoctoral Fellow in Computational Mass Spectrometry

at the Department of Materials and Environmental Chemistry. Closing date: 30 April 2024.

The Department of Materials and Environmental Chemistry (MMK) is, with about 160 employees, one of the largest departments at the Faculty of Natural sciences at Stockholm University. A significant part of the teaching activities is at the undergraduate level with courses in General, Physical, Inorganic, and Analytical Chemistry. The teaching at the graduate level focuses on the master programs in Sustainable Chemistry and Analytical Chemistry.

Research activities of MMK focus primarily on materials, and include different classes such as ceramics, glasses, self-assembled, porous materials, and soft matter. The projects often encompass synthesis, and characterization by X-ray, neutron diffraction, electron microscopy, solid-state NMR, and computer modelling of materials with a potential for various applications. Research activities in the area of Analytical Chemistry focus on developing advanced analytical techniques and data processing workflows for studies of organic compounds and discovery of toxic chemicals.

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.

Terms of employment
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 2024-09-01 or as per agreement.

Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all.

Contact
Further information about the position can be obtained from the PI Anneli Kruve, anneli.kruve@su.se. For general information about the Department of Materials and Environmental Chemistry, please contact the Head of the Department, Prof. Niklas Hedin, niklas.hedin@mmk.su.se.

Union representatives
Ingrid Lander (Saco-S), telephone: +46 708 16 26 64, saco@saco.su.se, Alejandra Pizarro Carrasco (Fackförbundet ST/OFR), telephone: +46 8 16 34 89, alejandra@st.su.se, and seko@seko.su.se (SEKO).

Application
Apply for the position at Stockholm University's recruitment system. 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.

Please include the following information with your application

• Your contact details and personal data
• Your highest degree
• Your language skills
• Contact details for 2–3 references

and, in addition, please include the following documents

• Cover letter
• CV – degrees and other completed courses, work experience and a list of publications
• Research proposal (no more than 3 pages) describing:
  – why you are interested in the field/project described in the advertisement
  – why and how you wish to complete the project
  – what makes you suitable for the project in question
• Copy of PhD diploma
• Letters of recommendation (no more than 3 files)
• Publications in support of your application (no more than 3 files).

The instructions for applicants are available at: How to apply for a position.

You are welcome to apply!

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