Organisation/Company Universidad Politecnica de Cartagena Research Field Engineering » Industrial engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application Deadline 28 Jul 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Full-time Hours Per Week 37,5 Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description TECHNICAL UNIVERSITY OF CARTAGENA

, A CALL FOR APPLICATIONS IS ANNOUNCED FOR THE HIRING OF RESEARCH STAFF WITH A BACHELOR'S DEGREE IN SCIENTIFIC AND TECHNICAL ACTIVITIES IN THE RESEARCH AREA OF PRECISION AGRICULTURE THROUGH THE USE OF IMAGE-BASED INDICATORS (CODE: C-031/26).

Deadline for submission of applications:

July 28.

TITLE OF THE POSITION OFFERED:

INDUSTRIAL ENGINEERING Research

TYPE OF CONTRACT

Indefinite.

PROFESSIONAL CATEGORY

Researcher (Bachelor's Degree)

For degrees obtained abroad (including those from the EU), applicants must provide proof that they have obtained the corresponding recognition or, where applicable, the credential attesting to the equivalence of their degree.

WEEKLY DEDICATION

The position will be full time, and the workweek will be 37,5 hours, carried out from Monday to Friday.

GROSS ANNUAL REMUNERATION

The employee will receive an annual gross salary of 35.075,88 euros.

PROJECT TITLE

Precision agriculture through the use of image-based indicators.

DURATION





The term of this contract will be contingent upon the availability of budgetary funds for the aforementioned line of research.

Current R&D;&I; activity:

“SMARTCROP: Automatic System for the Sustainable Management of High-Value Crops in Semi-Arid Areas Based on Continuous Image Monitoring Using Artificial Intelligence,” reference CPP2023-010502, funded by MCIU/AEI/10.13039/501100011033/FEDER, EU. Budget line 30.05.18.9820 541A 642.10 (code: 2024/00208/001)

INTENDED DATE OF DEPUTY EMPLOYMENT : immediate.

Tasks to be carried out

Design of semantic models for quality assessment

Training models using colorimetric data from agricultural products

Installation of thermal and visible-light sensors

Programming and data management

Setup and maintenance of a test plot

PLACE OF WORK

Campo Facility (Ulea) and Los Arcos Laboratory (ETSII).

Merits to be assessed and evaluation criteria

Academic Background (40%): Academic records will be evaluated.

Specific training (15%): Particular emphasis will be placed on demonstrable knowledge of model design and TensorFlow algorithms, and experience with hardware such as Raspberry Pi, as well as training in research activities, such as a Ph.D. and fellowships related to model design and automation.

Professional experience (15%): Related to model design and automation.

Other merits (20%): Experience in scientific communication (high-impact scientific articles related to the subject matter of the contract).

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