Senior Researcher in Building and Energy System Modelling and Digital Twins

at  Cenaero

Cenaero, located in Gosselies (Belgium), is a private non-profit applied research center providing to companies involved in a technology innovation process numerical simulation methods and tools to invent and design more competitive products. Our ambition is to be internationally recognized as a technology leader in modeling and numerical simulation, to be a strategic partner of large global industries as well as a real support to regional companies including innovative SMEs.
Cenaero provides expertise and engineering services in multidisciplinary simulation, design, and optimization in the fields of both mechanics (including fluid, structure, thermal, and acoustics) and electro-magnetics, manufacturing of metallic and composite structures as well as in analysis of in-service behavior of complex systems and life prediction. It also provides software through its massively parallel multi-physics platform Argo, its manufacturing process simulation and crack propagation platform Morfeo and its design space exploration and optimization platform Minamo. Cenaero operates the Tier-1 Walloon supercomputing infrastructure, launched in November 2022.

In the frame of its research activities in the “Energy Efficient & Resilient Built Environment” field, Cenaero is developing methodologies and tools to

• Size and retrofit living places facing the climate changes as heat waves in urban environment;
• Design and optimize low carbon technologies integrated in the built environment, including buildings connected to district heat and cooling networks;
• Provide energy digital twins for user awareness, use optimization, predictive maintenance, and self-consumption in energy communities.

This field requires a diversified expertise in:

• Building energy dynamic modelling;
• Development of Back-end, Web applications, Interfaces with database and BIM/GIS environments.
• Optimization, machine learning and predictive control, in strong interaction with the Cenaero “Machine Learning for Modelling, Optimization, Data Mining, Monitoring & Control” Group;

To support the expanding research activities in this field, Cenaero is currently looking for a Senior Research Engineer in Building Energy Modeling and Digital Twin (M/F/X). This permanent position is available immediately.

REQUIRED QUALIFICATIONS:

• 
  
  
  
• Master or Doctoral degree in Engineering or Physics with a background in heat and mass transfers and with a minimum of 3 years experience in building physics and HVAC modeling ;

• 
  
  
  
• Strong knowledge of the building industry practices & challenges (EPBD directive, IPMVP protocol) and of its related simulation frameworks such as Openstudio/Energy+, TRNSYS, Sketchup;

• 
  
  
  
• Minimum 2 years of hands-on experience in BIM and/or GIS based Digital Twins at the building and/or district levels;

• 
  
  
  
• Strong programming skills on commonly used languages (ex. Python, MySQL, HTML, Javascript, C++);

• 
  
  
  
• Fluent either in French or English, both written and spoken, with a passive understanding of the other language;

• 
  
  
  
• Good analytical and problem-solving skills;

ADDITIONAL QUALIFICATIONS:

• 
  
  
  
• Basic knowledge and hands-on experience Minimum in machine learning methodologies and tools (ex. Neuronal Network, Time series forecasting, MILP);

• 
  
  
  
• Relevant experience in contractual and collaborative research project set-up

Please refer the Job description for details