Technical Support Staff for R&D&I Activities

Universidad Politecnica de Cartagena; España; Presencial; EUR 28.000 - 34.000; Jornada completa

Descripción de la vacante

Universidad Politecnica de Cartagena is offering a permanent, full-time Technical Support Staff position in Spain within the Data Processing and Artificial Intelligence project. The role emphasizes development of data interpretation criteria, a web frontend, API services, and AI model development related to R&D&I activities.

The candidate will join a team supporting 35-hour work weeks, with duties focused on data processing, software development, and quality assurance for ongoing research

Formación

• Bachelor's degree in Data Science and Engineering.
• If obtained abroad, proof of recognition or credential is required.
• Full-time role; 35 hours per week.

Responsabilidades

• Establish interpretation criteria for data extraction and update statistics with the CGATE team.
• Develop a web frontend for the project.
• Ensure the accuracy of extracted data.
• Create an API for data access and integration.
• Develop, train, and validate an AI model for R&D activities.

Educación

Bachelor's degree in Data Science and Engineering

Herramientas

API development

AI modeling

Web frontend

Descripción del empleo

Organisation/Company Universidad Politecnica de Cartagena Research Field Computer science ‰ Database management Researcher Profile Other Profession Positions Research Support Positions Application Deadline 16 Oct 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Full-time Hours Per Week 35 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Deadline for submission of applications: October 16.

TITLE OF THE POSITION OFFERED: Technical Support Staff for R&D&I Activities.

TYPE OF CONTRACT: Indefinite.

PROFESSIONAL CATEGORY: GROUP I. College Graduate.

REQUIRED QUALIFICATION: Bachelor's degree in Data Science and Engineering.

In the case of degrees obtained abroad (including EU degrees), applicants must provide proof that they hold the corresponding recognition or credential attesting to the equivalence of their degree, if applicable.

WEEKLY DEDICATION: This will be a full time position, and the workweek will consist of 35 hours, from Monday to Friday.

GROSS ANNUAL REMUNERATION: The employee will receive an annual gross salary of 30.958,48 euros.

PROJECT TITLE: Data Processing and Artificial Intelligence.

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: “AI Prototype for Technical Architecture,” reference number 9456/26TIC. Budget line 30.05.18.B463 541A 643.10 (code: 2026/00030/001).

“AI Prototype for Technical Architecture,” reference 9832/26TIC. Budget line 30.05.18.B537 541A 643.10 (code: 2026/00162/001).

INTENDED DATE OF DEPUTY EMPLOYMENT: immediate.

TASKS TO BE CARRIED OUT:

• Establish interpretation criteria for data extraction in the process of registering professional interventions. Update the CGATE Materials Statistics Sheet with new systems and materials and correct current inconsistencies, with the assistance of the CGATE. Develop a guide outlining the minimum content requirements for projects subject to national approval for the remaining projects. For this document, it would be advisable to involve the CGATE so that the content can be discussed among all professional associations and agreed upon by consensus. This foundation will enable the AI to be programmed at the national level and allow for the inclusion of specific provisions from regional or territorial regulations.
• Development of a web frontend.
• System to ensure the accuracy of extracted data.
• Creation of an API.
• Development, training, and validation of an AI model.

MERITS TO BE ASSESSED AND EVALUATION CRITERIA:

• Academic Background (65%): Grades on the academic transcript for the required bachelor’s degree will be evaluated.
• Specific Training (5%): Knowledge and documented training related to the project’s objectives will be evaluated. Completion of internships will be considered.
• Professional experience (5%): Documented professional experience will be evaluated.
• Languages (5%): Official English language certificates will be evaluated.
• Other merits (5%): Related to the profile of the position being offered.
• Personal interview (15%): Suitability for the position’s profile will be evaluated.