Energy-Efficient Controls Engineer (HVAC & Automation)

Big Science Sweden

Genf

Vor Ort

CHF 110.000 - 140.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

CERN is seeking a Project Engineer to analyse HVAC and hydraulic systems, develop dynamic models, and improve control strategies for energy efficiency across the accelerator complex and technical infrastructures.

The role involves deploying AI-based solutions, validating performance, and coordinating testing and commissioning with operations and maintenance teams. Candidates must meet CERN eligibility criteria and have up to 2 years since graduation.

Qualifikationen

  • National of a CERN Member State or Associate Member State
  • Max 2 years of professional experience since graduation
  • Highest educational qualification is a bachelor’s or master’s degree
  • You have never had a CERN fellow or graduate contract before
  • Please pay attention to the additional criteria for this position

Aufgaben

  • Develop and validate dynamic simulation models of HVAC, cooling, ventilation, and hydraulic systems to assess plant performance and energy opportunities.
  • Design, test, and implement control system improvements to enhance energy efficiency, reliability, and operational stability.
  • Apply data analytics and machine learning to support performance monitoring, fault detection, predictive analysis, and optimisation.
  • Manage the deployment, testing, commissioning, and verification of AI-based solutions on operational production plants.
  • Produce technical studies, engineering recommendations, and collaborate with operations and maintenance teams for successful implementation.

Kenntnisse

Dynamic simulation
Data analytics
Machine learning
Control design

Ausbildung

Bachelor's or Master's degree

Tools

Simulation tools

Jobbeschreibung

CERN is seeking a Project Engineer to analyse HVAC and hydraulic systems, develop dynamic models, and improve control strategies for energy efficiency across the accelerator complex and technical infrastructures.

The role involves deploying AI-based solutions, validating performance, and coordinating testing and commissioning with operations and maintenance teams. Candidates must meet CERN eligibility criteria and have up to 2 years since graduation.

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