Modeling Systems Engineer

15 ago - Piove di sacco
Vertiv

We are currently seeking a Modeling System Thermal Engineer to join our dynamic team in Piove di Sacco (PD), Italy.

Responsibilities
- Develop accurate, high-performance mathematical models for HVAC components (evaporators, condensers, compressors, fans, pumps) using physics-based equations.
- Design and implement efficient, stable algorithms to simulate single- and multi-circuit HVAC systems, including chilled-water CRAC units, air-cooled & water-cooled liquid chiller and liquid cooling configurations.
- Apply advanced numerical methods to solve complex multi-circuit system schemes with high computational efficiency.
- Prepare technical documentation on thermal modeling and analysis.
- Utilize primary programming languages for modeling tasks such as Cadence, FlowNex, MathLAB Simulink, FloMaster, Simscale.

Qualifications
- Master’s degree in Mechanical Engineering, Energy Engineering, or a related field with a strong focus on thermodynamics.
- Solid understanding of single-phase and two-phase fluid dynamics, refrigerant mechanics, heat transfer, and thermodynamics.




- Familiarity with numerical methods and iterative approaches for refrigerant circuits and hydronic circuit systems.
- Knowledge of HVAC system operation, component balancing, and system integration.
- 1 or 2+ years of experience in thermal engineering is preferred, but highly motivated new graduates are welcome.
- Proficiency in object-oriented software above mentioned programming with strong willingness to learn coding skills on the job.
- Practical application knowledge of the main CFD simulation software, both one- and two-dimensional.
- Highly self-motivated, detail-oriented, and proactive team player.
- Proficiency in Microsoft Office 365 (Excel, Word, PowerPoint) and communication tools (MS Teams, Outlook).
- Excellent verbal and written communication skills in English.
- Italian fluency (verbal and written) is highly desirable.
- Residency near Vertiv’s Tognana (Padova) site or willingness to re

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