Technician for the development of intelligent supervision systems for industrial and energy applications. (Ref. 30269710003)

Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH

España

On-site

EUR 35,000 - 43,000

Part time

6 days ago
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Job summary

Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH in Terrassa, Spain, seeks a researcher to develop data-based and AI tools for monitoring, prediction and control of smart grids and microgrids, with experimental validation.

Responsibilities include designing AI-based maintenance applications, cloud architectures, and participating in national and international collaborations, as well as advancing machine learning, predictive maintenance and control systems.

Qualifications

  • Experience in research and innovation tasks in companies, tech centers, universities or similar.
  • Participation in scientific publications.
  • Experience in research activities in university and industry environments.

Responsibilities

  • Develop intelligent AI-based applications for maintenance and predictive control.
  • Design cloud architectures and cloud applications.
  • Participate in national and international scientific collaborations.
  • Develop decision support for predictive maintenance and control using data analytics.
  • Apply machine learning and deep learning techniques.
  • Supervise and control industrial and energy systems.
  • Work on pattern recognition and applied AI techniques.

Skills

AI for maintenance and predictive
Machine learning
Deep learning
Cloud computing
Data analytics
Pattern recognition
Control systems

Job description

Organisation/Company Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH Research Field Engineering » Industrial engineering Engineering » Electrical engineering Engineering » Electronic engineering Engineering » Control engineering Researcher Profile First Stage Researcher (R1) Positions Research Support Positions Application Deadline 2 Nov 2026 - 23:00 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Part-time Hours Per Week 25 Offer Starting Date 9 Nov 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 30269710003 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Mission:

Develop and implement data-based and AI tools for monitoring, prediction and control of smart grids and microgrids, with experimental validation.

Functions to be developed:

  • Develop intelligent applications based on AI for maintenance and predictive control of systems.
  • Design cloud computing architectures and cloud applications.
  • Participate in scientific collaborations at national and international level.
  • Decision support systems for predictive maintenance and control (data analytics).
  • Machine learning and Deep learning.
  • Supervision and control of industrial and energy systems.
  • Pattern recognition and applied artificial intelligence techniques.

Professional Experience:

  • In research and innovation tasks in companies, technology centers, universities or similar.
  • Have participated in the writing of scientific publications.
  • Experience in functions similar to those described will be valued, specifically in the development of research activities, both in the university and industrial environment.

Languages CATALAN Level Basic

Languages ENGLISH Level Good

Languages SPANISH Level Good

Research Field Engineering » Industrial engineeringEngineering » Electrical engineeringEngineering » Electronic engineeringEngineering » Control engineering Years of Research Experience 1 - 4

Additional Information

€38,684.20 gross per year (for a full-time position)

Eligibility criteria

All the candidates who cannot prove the required academic degree will be immediately withdrawn from the selection process.

The CVs will be assessed according the following general criteria:

  • The maximum score for the candidates who accomplish all the eligibility criteria stated in the job offer will be 10 points.
  • Threshold: 5 points.
  • The maximum score (10 points) will be distributed as follows:
  • 1 point for required speciality.
  • 2 points for required academic training.
  • 2 points for technic competences.
  • 1 point for organisational competences.
  • 3 points for professional experience.
  • 1 point for any aspect of the candidate’s professional profile to be determined as specially relevant by the Selection committee.

If the selection committee decide to include a personal interview as additional step of the selection process, only the candidates scored 5 or above for their CV will be retained for the interview step.

The interview will be assessed according the following criteria:

  • Threshold: 3 points.
  • The maximum score will be distributed according the following criteria:
  • 2 points for adequacy to functional competences of the job.
  • 2 points for adequacy of professional experience.
  • 1 point for any aspect of the candidate’s professional profile to be determined as especially relevant by the Selection committee.

The eligible candidates will be ranked from highest to lowest score, being this the selection criteria.

Selection process

The planned selection process is as follows:

  • The members of the selection committee will decide for each case what the selection process will be, if an assessment is made only for the curriculum vitae or any other procedure is planned: interview, tests, etc ...
  • Each phase of the selection process will be reported on the website where the offer is published. If applicable, indicate your request.
  • Finally, the name of the person selected will be published on the same website where the offer is published.
Additional comments

Remember that the resume should not include any personal data or photographs.

Work Location(s)

Number of offers available 1 Company/Institute Electronics, Motion Control and Industrial Applications Innovation Centre (MCIA) Country Spain State/Province Barcelona City Terrassa Postal Code 08222 Street Rambla Sant Nebridi, 22, Edifici Gaia

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