187882 Research staff with a university degree (non-PhD)

Universidade de Vigo; España; Vor Ort; EUR 19.000 - 23.000; Vollzeit

Zusammenfassung

The Universidade de Vigo invites applications for a Recognised Researcher (R2) in Analytical and Food Chemistry. The role involves designing sampling strategies, collecting and preparing samples, and determining nutritional composition.

You will also work with hyperspectral data and develop AI models for classification of samples. The position seeks expertise in food chemistry, quality control, and data-driven approaches to support cutting-edge research.

Qualifikationen

• Academic background related to the project.
• Master's Thesis (TFM) on a topic related to the project; experience in Food Chemistry.
• Personal interview if merits sum reaches at least 50.

Aufgaben

• Design and execute the sampling plan for seeds, flours, powders, and textured products.
• Collect, identify, store, and prepare samples for analysis.
• Determine the nutritional and mineral composition of the analyzed samples.
• Evaluate the physicochemical, rheological, and structural properties of the samples.
• Acquire, process, and optimize hyperspectral data and images using capture and spectral analysis systems.
• Develop, optimize, and validate statistical and AI models for classification and prediction of samples.

Kenntnisse

Food chemistry

Quality control

Food authentication

Computer skills

Ausbildung

Master's degree in a relevant field

Jobbeschreibung

Organisation/Company Universidade de Vigo Department C07 Analytical and Food Chemistry Research Field Chemistry » Analytical chemistry Researcher Profile Recognised Researcher (R2) Positions Master Positions Application Deadline 21 Oct 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 187882 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Design and execute the sampling plan for seeds, flours, powders, and textured products.

Collect, identify, store, and prepare samples for analysis.

Determine the nutritional and mineral composition of the analyzed samples.

Evaluate the physicochemical, rheological, and structural properties of the samples.

Acquire, process, and optimize hyperspectral data and images using capture and spectral analysis systems.

Develop, optimize, and validate statistical and artificial intelligence models for the classification and prediction of samples.

Item 01: Academic background (punctuation: 30)

Item 02: Master's Thesis (TFM) on a topic related to the project Experience in Food Chemistry, Quality Control, and food authenticity laboratory activities. Suitability for the project's activities: education, previous experience, and added value for the receiving team Computer skills (punctuation: 55)

Item 03: Personal interview. The interview will be conducted only with those candidates who, in the sum of the merits, reach a minimum of 50 points (punctuation: 15)

Additional Information

1875.28 € (including the apportionments of extra payments)