Research Fellow - Foodomics
Visualizza: 110
Giorno di aggiornamento: 16-11-2025
Categoria: IT - Software IT - Hardware / Reti Tecnologie dell’informazione
Industria:
Contenuto del lavoro
- Apply chromatography-spectroscopy based metabolomics approaches (LC-MS, LC-IRMS, GC-MS) combined with multivariate statistical tools to verify claims, such as geographical/botanical origin, on agri-food products of high economic value, e.g. wine, honey, olive oil, spices, etc.;
- Contribute to setting up validation protocols for untargeted analytical methods;
- Organise interlaboratory comparisons for the performance evaluation of untargeted analytical methods;
- Disseminate the research outcomes.
- We look for a person with strong interest and understanding of mass spectrometry based metabolomics applied to relevant biological matrices.
- The candidate should exhibit proven experience in the fields of separation science, spectrometry, data analytics, and communication of research outcomes.
- The candidate must have completed university studies of at least four years attested by a diploma in chemistry, biology, pharmacy or a related field of natural science and have at least one year of professional experience in a field relevant to the position.
- Good knowledge of spoken and written English (level B2).
In addition, the following qualifications are considered as an advantage:
- Experience in food analysis.
- Familiarity with IT systems for storing and organising data.
- Skills to visualise complex data.
As the science and knowledge service of the Commission, the mission of DG Joint Research Centre is to support EU policies with independent evidence throughout the whole policy cycle.
The JRC is located in 5 Member States (Belgium, Germany, Italy, the Netherlands and Spain). Further information is available at: https://ec.europa.eu/jrc/
The current vacancy is in the Health, Consumers and Reference Materials Directorate of the JRC, Fraud Detection and Prevention Unit(JRC.F.4).
The fight against food fraud is an EU priority aimed at keeping the highest food safety standards. Detection of fraud in the food chain requires not only appropriate analytical methods but relies to a large extent on intelligence gathering from a variety of sources to reveal vulnerabilities of food chains and to inform enforcement actions. The activity is embedded in the newly created European Knowledge Centre for Food Fraud and Quality (KCFFQ) (https://ec.europa.eu/jrc/en/food-fraud-and-quality).
- Food Science
- Metabolomics
- Data Mining
Scadenza: 31-12-2025
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