Job Description

Engineer Tools, Methods, Performance & digital – Wind Yield domain

Location: Paris (2 days at the office and the rest of the week remote) + Montpellier (1 x every 3 months)

Start date: 02/09/2024 – Duration: 1 year

You will have the opportunity to join a team is lead by some lead engineers, focused on yield discipline (onshore – offshore – measurement – method) and see all the studies onshore & offshore wind project of the Company. 

ACTIVITIES:

• Propose, define, develop and implement tools to improve the performance of current wind yield engineering activities, with a specific focus on CFD modelling.  
• Benchmark wind flow models, improve use of existing wind flow models, propose & develop new wind flow models ; 
• Benchmark wake models, improve use of existing wake models, propose & develop new wake model use ; 
• Propose and pilot technology development projects focused on digitalization of wind yield methods for the Company ; 
• Participate to the methodology emulation/sharing/transmission within the Wind Energy Yield Engineer Community; 
• Create, revise, review TotalEnergies Referential regarding Wind Energy Yield : Company Rules, Guides & Manuals, General Specification; 
• Participate in R&D activities and the development of internal tools ; 
• Create & perform technical training for wind yield engineer; 
• Wind yield technology watch and benchmark; 
• Support all activities relating to the expertise of wind measurement, analysis of wind resources and calculation of wind energy [Onshore/Offshore]; 

This list is not exhaustive. 

SKILLS REQUIRED:

• GREAT capacity to use/adapt/transform CFD wind engineering soft

• Great technical capacity to pilot and create new tools & method for wind yield engineering but also great soft skills to be able to animate & federate the methodology enhancement.

• Degree qualified engineer, 5 year experience in wind activities

• Good knowledge English (written and spoken), and knowledge of French would be appreciated

• Good knowledge in wind energy yield models and methods (5 years)

• Scientific mind set, team spirit and great autonomy will be necessary to succeed in the mission

• Great programming ability

• Good knowledge in fluid mechanical, numerical analysis, statistics, meteorology

Tagged as: Hybrid