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Specialist in machine learning, image and sound processing (segvauto-5g-uem)

buscojobs España
Publicada el 1 julio
Descripción

Organisation / Company Universidad Europea de Madrid Department grupo investigación SIC Universidad Europea de Madrid Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Country Spain Application Deadline 30 Jun 2025 - 23 : 59 (Europe / Madrid) Type of Contract Temporary Job Status Part-time Hours Per Week 15 Offer Starting Date 1 Sep 2025 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

* Extraction, transformation and loading of data from heterogeneous sources (ETL).
* Data processing, analysis and visualisation. Statistics.
* Design, implementation and maintenance of databases.
* Application of artificial intelligence techniques for the development of intelligent systems based on knowledge.
* Analysis and application of data mining and automatic learning techniques.
* Image (video) and audio processing.
* Programming.

Where to apply

E-mail

Requirements

Research Field Engineering » Computer engineering Education Level Bachelor Degree or equivalent

Skills / Qualifications

Languages SPANISH Level Mother Tongue

Research Field Computer science » Informatics

Additional Information

Eligibility criteria

* Advanced programming skills in languages such as C++ and Python and image processing libraries such as OpenCV.
* Demonstrable experience in the use of data mining and ETL tools such as RapidMiner, Orange or Pentaho Data Integration and CARLA simulator. Knowledge of Windows, UNIX, Android
* Experience as a programmer, demonstrable through participation in a personal programming project, or within a working group or research project.

Selection process

The following skills of the candidate will be highly valued :

* Ability to work in a team.
* Initiative.
* Creativity.
* Ability to adapt to new situations.
* Ability to learn.

Additional comments

This action has been financed through the R&D activities programme with reference number TEC-2024-ECO-277 and acronym SEGVAUTO-5G, awarded by the Community of Madrid through the Directorate General for Research and Technological Innovation to

through the OrdenORDEN 3177 / 2024, DE 10 DE JULIO

J-18808-Ljbffr

#J-18808-Ljbffr

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