Graduate Engineering Intern – Building… at Daikin… · Plymouth

Summary: Daikin Applied Americas is the world's largest HVAC company, recognized by Forbes as one of America's Best-In-State Employers 2025. They are seeking a highly motivated graduate engineering student for a full-time internship focused on developing a building energy and controls model, integrating AI and machine learning techniques for enhanced performance. Responsibilities: - Develop a generic, modular, and parameterizable building model in Modelica/Dymola suitable for multiple building archetypes and HVAC/control configurations - Leverage and extend existing Modelica building libraries (e.g., Berkeley National Laboratory / Modelica Buildings Library) where appropriate - Implement and evaluate building automation and control strategies within a dynamic simulation framework - Export and integrate models as FMUs (Functional Mock‑up Units) for use in MATLAB/Simulink MiL simulations - Demonstrate transient system behavior, control robustness, and performance under disturbances, parameter variation, and uncertainty - Optimize model structure and solver settings to enable faster‑than‑real‑time simulation performance - Collaborate with engineering stakeholders to define modeling scope, use cases, and success criteria for the PoC - Clearly document model architecture, assumptions, limitations, and validation results - Explore opportunities to incorporate AI/ML techniques (e.g., surrogate modeling, optimization, or design‑space exploration) to enhance scalability and usability Required Qualifications: - Currently enrolled M.S. or Ph.D. student in Mechanical Engineering, Electrical Engineering, Architectural Engineering, Controls Engineering, or a closely related field - Academic or research focus in building automation, building energy modeling, HVAC systems, or advanced control methods - Experience with Modelica and Dymola, or equivalent equation‑based physical modeling tools - Strong foundation in dynamic systems, control theory, and numerical simulation - Experience using MATLAB/Simulink for modeling, simulation, or control development - Proficiency in technical programming or scripting (MATLAB, Python, or similar) - Ability to work independently on an applied, deliverables‑driven project and communicate results clearly Preferred Qualifications: - Familiarity with the Berkeley National Laboratory Modelica Buildings Modeling Library - Experience with the FMI/FMU standard and multi‑tool simulation workflows - Knowledge of building automation systems (BAS) architectures and control strategies - Exposure to MiL, SiL, real‑time, or accelerated simulation workflows - Coursework or experience in optimization, reduced‑order modeling, or machine learning - Interest in applying AI/ML methods to physics‑based engineering models and decision‑support tools Required Skills: Modelica, Dymola, MATLAB, Simulink, Building automation, Building energy modeling, HVAC systems, Control theory, Numerical simulation, Technical programming, Python, FMI/FMU standard, Machine learning, Optimization Benefits: Multiple medical insurance plan options + dental and vision insurance, 401K retirement plan with employer match, Paid time off and company paid holidays, Paid sick time in accordance with the federal, state and local law, Tuition Reimbursement after 6 months of continuous service