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PhD position in computational metabolomics
Project description: Bacteria, plants and fungi are a rich source of natural products and are subject of research by many research groups, who search for unknown compounds with therapeutic or other beneficial properties. LC-HRMS-based untargeted metabolomics is the mainly used techniques to help find such compounds as it is fast and easy, well understood and produces high-quality data. Unfortunately, the large number of natural products discovered thereby is unknown and remains unknown. Recently, powerful software tools and workflows have been implemented helping researchers find relations between known and unknown compounds, while other tools help during their annotation/identification. In this project the successful PhD candidate will further extend this portfolio of software for the annotation/identification of unknown natural product metabolites with machine learning techniques and/or neural networks. On the basis of similarities in MS/MS spectra, molecular networks and machine learning, these tools shall generate putative and plausible chemical structure candidates. Your profile •Professional competence: Diploma or master degree in bioinformatics/statistics(/chemistry) •Statistics, clustering techniques, dealing with high-dimensional datasets, machine-learning •High level programming skills •Experience with machine learning libraries is considered a plus •Experience with Mass Spectrometry is considered a plus •Basic experience in research methods and academic writing The applicant needs to hold a Master degree or its equivalent in Chemistry or in another relevant discipline entitling the researcher to embark on a doctorate. The degree certificate must be available before being accepted into the doctoral program. The DoSChem program language is English; therefore, written and oral English proficiency is expected and essential. Formal proof of competence in English is not required, if invited for interviews the DoSChem selection committee will evaluate applicants' English skills during the interviews.
The PhD position is available fall 2021 or sooner. Contact us at the Institute of Biochemical Network Analysis (https://chemnet.univie.ac.at/) for further information. Please submit the following documents in English as a single PDF document: - A Strong Motivation letter explaining why you apply to DoSChem by addressing your qualifications. Clearly indicate your desired research area and provide a prioritized list of DoSChem principal investigators (choices 1-3 for job descriptions posted) that you wish to work with (max. 1 page). - Curriculum vitae (CV) indicating your educational path with time line and academic degrees, addressing your technical proficiency, past/ ongoing projects you were scientifically involved in along with your publication list and awards if applicable. - Copies of Bachelor and Master Diploma certificates in German or in certified English translation in addition to their original language. Self-translated transcripts of your certificates will not be recognized. - Contact information of two supervisors, who can be contacted and are willing to provide recommendation letters upon request by DoSChem.
Selection process Based on academic performance and research experience, scientific fit and motivation to apply to the DoSChem program, our selection committee will carefully evaluate the quality of your application. Thus, a first round of selection will be made solely based on the submitted documents. This stage of the selection process will be completed within 4-6 weeks after the application deadline. For the second stage of the application process (‘matching session’) candidates are invited for online interviews (10-15min). For this purpose, candidates are asked to prepare short summary talks (5 min) of their Master thesis. Small PI panels (3-5) reflecting the interests hold interviews together; after the interview, the matching PI and the student are determined. Candidates shortlisted for the final selection will be invited to detailed interviews held by their matching PI and colleagues (15-20 min). Successful candidates are notified by approx. August 15th and expected to accept their position within 2 weeks of their notification. Members of the new DoSChem cohort should start their doctoral project in Vienna between September and December of the selection year. However, under certain circumstances -exceptions may be made after personal consultation- the starting date can be extended until latest March of the following year. DoSChem values diversity and encourages applications from all qualified candidates. Timeline overview table 2021 Application opens: March Application closes: May Pre-selection meetings: June Student Interview Days: mid-end June (July) Final selection meetings: July Offers sent out: mid August Offer need to be accepted: end of August Start of the program: September-December