Controls and Automation Engineer, CV

Big Science Sweden; Genf; On-site; CHF 110,000 - 140,000; Full time

Job summary

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.

Qualifications

• 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

Responsibilities

• 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.

Skills

Dynamic simulation

Data analytics

Machine learning

Control design

Education

Bachelor's or Master's degree

Tools

Simulation tools

Job description

The Cooling & Ventilation (CV) Group is responsible for the design, installation, commissioning, operation, and maintenance of the cooling systems, pumping stations, air conditioning plants, and fluid distribution networks serving CERN’s accelerator complex, experimental areas, selected LHC detector cooling systems, and strategic technical infrastructures such as the Computer Centre. This project aims to identify, evaluate, and implement solutions to improve the energy efficiency and performance of existing and future CV plants. The Project Engineer will analyse plant operation, develop physical models of HVAC and hydraulic systems using simulation tools, and assess alternative control strategies. Based on these studies, the engineer will design and validate process and control improvements, and manage their deployment, testing, and commissioning on operational plants to ensure the expected performance and energy savings are achieved.

Your responsibilities

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

Be sure to meet the eligibility criteria

• You are a national of a CERN Member State or Associate Member State . Currently, we cannot consider applications from Pakistani, Lithuanian, Latvian, Cypriot, Croatian and Turkish nationals, as the ceiling defined under Article II.5 of the Associate Membership Agreement has been reached.
• By the application deadline, you have a maximum of 2 years of professional experience since graduation in the respective field and your highest educational qualification is either a bachelor’s or master’s degree. You must have a university degree and can’t hold a PhD.
• You have never had a CERN fellow or graduate contract before.
• Please pay attention to the additional criteria and requirements for this specific position and mentioned above.