Job offer

The selected candidate will contribute to advanced research and development tasks, including:

• Design and deployment of Edge-Cloud infrastructures for distributed AI systems ensuring low-latency processing of energy data.
• Orchestration of services using containers and microservices (Docker, Kubernetes).
• Optimization of communication networks using Software Defined Networking (SDN).
• Development of Digital Twins for energy districts to simulate flexibility and demand response scenarios.
• Management of Big Data pipelines, including real-time ingestion and processing of energy infrastructure data., Required documentation includes:
• Identity document (DNI, passport, NIE, or equivalent)
• Bachelor's and Master's degree certificates (with recognition if applicable)
• Curriculum Vitae (including research identifiers such as ORCID)
• Supporting documentation for experience, projects, and publications

Only merits properly documented within the application deadline will be evaluated.

Research Field Computer science » Database management

Education Level Master Degree or equivalent, Master Degree or equivalent

Specific Requirements

Research Field Computer Science / Data Science / Artificial Intelligence

Education Level Master's degree or equivalent (MECES 3)

Specific Requirements

• Bachelor's degree in Computer Engineering or Data Science
• Master's degree in Intelligent Systems and Numerical Applications in Engineering (or equivalent)
• English level B2 or higher (CEFR) with technical fluency for international project coordination

Languages ENGLISH, Computer science » Database managementEngineering » Computer engineering

Applications must be submitted through the ULPGC Electronic Headquarters via the following link: General Application (Instancia General). In the section DESTINATION UNIT OR DEPARTMENT (UNIDAD U ÓRGANO DE DESTINO) you must indicate: Research Service (Servicio de Investigación) and include the file number shown at the header of this call. Alternatively, applications may be submitted at any of the registration assistance offices, in accordance with Article 16.4 of Law 39/2015.