PhD Scholarship in Learning-based Control of Smart Energy Districts (Expression of Interest)

Universidad de Sevilla

España

Sur place

EUR 16 000 - 22 000

Plein temps

Il y a 7 jours
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Résumé du poste

Universidad de Sevilla, through the GEPOC research group, invites applications for a PhD Scholarship (3-4 years) on Optimal Robust Control of Heterogeneous Energy Systems Through Risk-aware Agents (ORCHESTRA). Start date March 2027; the project merges systems engineering and machine learning to develop data-driven control solutions.

Open to home and overseas candidates, with MSc in Engineering/Math/CS, strong programming skills, and proficiency in English.

Qualifications

  • MSc degree in Engineering, Mathematics or Computer Science.
  • Excellent programming skills.
  • A creative and rigorous mindset, and a strong motivation to do research.
  • Effective use of English language.

Responsabilités

  • Develop data-driven algorithms for robust decision-making in smart urban technologies.
  • Work at the intersection of Systems Engineering and Machine Learning.
  • Collaborate within the GEPOC research group on control theory and ML.
  • Contribute to both academia and industry careers.

Connaissances

Excellent programming skills
Creative and rigorous mindset
Effective use of English language

Formation

MSc degree in Engineering, Mathematics or Computer Science

Description du poste

Organisation/Company Universidad de Sevilla Department International Projects Office (OGPI) Research Field Engineering » Control engineering Engineering » Systems engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 12 Nov 2026 - 11:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Offer Starting Date 1 Mar 2027 Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Project: Optimal Robust Control of Heterogeneous Energy Systems Through Risk-aware Agents (ORCHESTRA)

PhD Scholarship (3-4 years)

Start date: March 2027 (to be confirmed)

The project focuses on the optimal management of smart infrastructures. The candidate will achieve experience at the intersection of Systems Engineering and Machine Learning, by developing solutions for efficient and robust decision-making in the context of smart urban technologies. Case studies will include energy districts, involving generation, distribution and storage of multiple energy vectors. The candidate will design and implement data-driven algorithms to improve both performance and operational safety, understanding how networks of physical systems behave when interfaced with learning-based algorithms.

The project will enable the candidate to achieve expertise at the intersection of control theory and machine learning, providing an ideal foundation for careers in both academia and the industry. The candidate will form part of the GEPOC research group, a broader team working on diverse aspects of systems engineering and optimization. The group sits within one of the leading Spanish research departments in the areas of Automation and Control. The candidate will be encouraged to take part in research collaborations through the established international partnerships of the group.

This international studentship is funded through the Spanish Ministry for Science and Innovation, the State Research Agency (MICIU/AEI/10.13039/501100011033), and ESF+. The position is open to home and overseas students.

Candidate Requirements

Prospective candidates will be judged according to how well they meet the following criteria:

  • MSc degree in any of Engineering, Mathematics or Computer Science
  • Excellent programming skills
  • A creative and rigorous mindset, and a strong motivation to do research
  • Effective use of English language

It is desirable that candidates possess expertise in some of the following areas:

  • Control/Electrical/Energy Systems Engineering
  • Applied Mathematics and Statistics
  • Optimization

The candidates are expected to meet the admissions criteria to the Doctoral Program of the Department of Systems Engineering and Automation, University of Seville.

Application

At this stage, we are open to expressions of interest : shortlisted candidates will be invited to submit a formal application . Details of the application procedure will be available soon (deadline expected end of November).

Expressions of interest

Expressions of interest should be addressed to Dr. Filiberto Fele. Please include CV, a short motivation letter, and contact details of 2 referee. Informal enquiries are encouraged.

Where to apply

E-mail ffele@us.es

Requirements

Research Field Engineering » Control engineering Education Level Master Degree or equivalent

Research Field Engineering Education Level Master Degree or equivalent

Research Field Mathematics Education Level Master Degree or equivalent

Research Field Computer science Education Level Master Degree or equivalent

Skills/Qualifications

Prospective candidates will be judged according to how well they meet the following criteria:

  • MSc degree in any of Engineering, Mathematics or Computer Science
  • Excellent programming skills
  • A creative and rigorous mindset, and a strong motivation to do research
  • Effective use of English language
Specific Requirements

It is desirable that candidates possess expertise in some of the following areas:

  • Control/Electrical/Energy Systems Engineering
  • Applied Mathematics and Statistics
  • Optimization

Note that the candidates are expected to meet the admissions criteria to the Doctoral Program of the Department of Systems Engineering and Automation, University of Seville.

Languages ENGLISH Level Good

Additional Information

Eligibility criteria

The candidates are expected to meet the admissions criteria to the Doctoral Program of the Department of Systems Engineering and Automation, University of Seville.

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