Postdoc position in Mass Spectrometry at Stockholm University: Stockholm University offers multicultural environment in one of the world’s most dynamic capital cities. The Department of Materials and Environmental Chemistry (MMK), Stockholm, Sweden invites online applications from a highly motivated researcher for filling up the Postdoctoral Fellow in Computational Mass Spectrometry available in the research group of Prof. Kruve and associated with the project ”Quantitative non-targeted screening for understanding mixture toxicity” with the aim to develop novel machine learning approaches for quantitative non-targeted LC/HRMS screening.
About the position: This research involves machine learning algorithms for LC/HRMS and includes modelling of fragmentation pattern and ion mobility data as well as ionization behaviour, including adduct formation and ionization efficiency.
Position: Postdoc Fellow
Duration: 2 years
Salary: As per norms.
Qualification: Interested candidates must have PhD degree in Computational Mass Spectrometry with experiences in computational mass spectrometry, chemoinformatics, bioinformatics and Proficiency in developing machine learning algorithms for regression, classification and clustering. Candidates with Experiences with R language is expected and the ability for engineering machine learn algorithms will be preferred.
Closing Date: 31 March 2020
How to apply: Interested and eligible applicants may apply online mode through the given link with contact details and personal data of their highest degree, language skills, Contact details for 2–3 references, Cover letter, Research proposal, Copy of PhD diploma, Letters of recommendation and Publications in support of their application before or by 31 March 2020.
Contact Address: Further information about the position can be obtained from Professor Anneli Kruve anneli.kruve@su.se
| Quick Overview——– | |
| Organization | Stockholm University |
| Position | Postdoc |
| Country | Stockholm, Sweden |
| Subject areas | Computational Mass Spectrometry |
| Salary | As per norms |
| Eligibility | PhD. in relevant subject |
| Deadline | 31 March 2020 |
For more information: For detailed announcement and instructions for submission of application, eligibility requirements, other terms and conditions, please visit the link given below.
