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# Researcher To Develop Vehicular Networks And Electric Vehicle Services Using Machine Learning Techniques. (Ref. 30267440022)

- **Company:** Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- **Location:** Valencia, Spain
- **Contract:** Temporary contract
- **Skills:** C++ (Programming Language), Communications Protocols, Python (Programming Language), Machine Learning, Open Access, Reinforcement Learning
- **Published:** October 15, 2026
- **Apply:** https://www.buscojobs.com.es/researcher-to-develop-vehicular-networks-and-electric-vehicle-services-using-machine-learning-techniques-ref-30267440022-en-valencia-ID-376801128

## About the Role

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 » Communication engineeringTechnology » Telecommunications technology Years of Research Experience 1 - 4

## Description

Organisation/Company Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH Research Field Engineering » Communication engineering Technology » Telecommunications technology Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 19 Oct *********:00 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Part-time Hours Per Week 31 Offer Starting Date 26 Nov **** Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number *********** Is the Job related to staff position within a Research Infrastructure? NoOffer DescriptionMission:Carry out project research tasks related to the development of communications protocols for vehicular networks and the development of services for electric vehicles.Functions to be developed:Design, implement and evaluate the performance of algorithms and protocols to improve the energy efficiency of communications protocols for vehicular networks to improve the management of electric vehicle charging services.Review compliance with the project's requirements regarding service quality assurance, performance optimisation by applying machine learning techniques and minimising the environmental impact of the solutions developed.Research Field Technology » Telecommunications technology Education Level PhD or equivalentSkills/QualificationsTechnical Skills:Machine learning models in the field of artificial intelligence (machine learning, reinforcement learning)Open access simulators SUMO, OMNeT++, Veins, OpenStreetMaps.Python and C/C++.Other requirements to consider:Availability to hold weekly online and in-person meetings.Specific RequirementsKnowledge:Urban mobility and services for electric vehicles.Machine learning models applied to improve communications networks.Algorithms and protocols to improve the energy efficiency of communications protocols for vehicular networks.Professional Experience:In research projects related to the improvement of communications network protocols.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 BasicLanguages ENGLISH Level GoodLanguages SPANISH Level GoodResearch Field Engineering » Communication engineeringTechnology » Telecommunications technology Years of Research Experience 1 - 4Additional Information€24,****** gross per year (full-time)Eligibility criteriaAll the candidates who cannot prove the required academic degree will be immediately withdrawn from the selection process.TheCVswill 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.Theinterviewwill 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 processThe 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 commentsRemember that the resume should not include any personal data or photographs.Number of offers available 1 Company/Institute Department of Network Engineering (ENTEL) Country Spain State/Province Barcelona City Barcelona Postal Code ***** Street Jordi Girona, 1-3 Geofield#J-*****-Ljbffr