Graduate Engineering Intern – Model Based… at Daikin… · Plymouth…

Summary: Daikin Applied Americas is the world's largest HVAC company, recognized for its commitment to innovation. They are seeking a Graduate Engineering Intern to advance model-based controls development, focusing on simulation infrastructure and mentoring engineering teams. Responsibilities: - Develop and maintain tools, methods, and frameworks that enable scalable model-based controls development using MATLAB/Simulink, Stateflow, and Functional Mockup Units (FMUs) - Facilitate the deployment and integration of SiL, MiL, and HiL simulation environments to support accelerated control system development and validation across multiple business units - Collaborate with the Principal Model-Based Controls Engineer to define and promote modeling standards, reusable control architectures, and validation workflows - Teach and mentor controls engineering teams on the application of model-based controls methods, tools, and best practices - Work with internal stakeholders to identify barriers to simulation adoption and provide technical solutions that improve workflow efficiency - Develop and document standard modeling practices, including guidelines for simulation asset creation, model traceability, and governance - Support prototype development and hardware validation activities through simulation-guided controls testing - Investigate advanced control methods such as Model Predictive Control (MPC), Adaptive Control, and AI/ML-based control strategies for future tool development initiatives - Manage software development activities related to controls tools using Azure DevOps, Git version control, and automated build pipelines - Provide technical support for integrating model-based controls methods into new product development phase-gate processes 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 - Proficient in C++ and MATLAB/Simulink, including control system design toolboxes and embedded code generation - Exposure in Stateflow and state charts for modeling control logic and state machine behaviors - Willingness to work with Systems and Product Engineers to develop formal controls requirements and architectures - Understanding of control systems theory, including dynamic system response and PID tuning methodologies - Exposure to simulation-based validation using SiL, MiL, and HiL environments and FMU integration - Knowledge of Azure DevOps, Git version control, and automated build pipelines - Knowledge of electrical schematics and control system instrumentation - Exposure in the use of sensors and instrumentation including RTDs, thermocouples, pressure transducers, flow meters, and data acquisition systems - Excellent verbal and written communication skills with the ability to work effectively across laboratory, design, product, and marketing teams - Familiarity with Agile development processes Preferred Qualifications: - Master's degree in Engineering from an ABET-accredited institution (preferred) - Understanding of HVAC systems and components - Experience with Linux-based programmable controllers and PLC programming (Functional Control Blocks and Structured Text) - Background in advanced control strategies including Model Predictive Control, Adaptive Control, and AI/ML control techniques - Coursework or practical knowledge in measurement systems, heat transfer, thermodynamics, fluid mechanics, machine design, and strength of materials - Programming experience beyond C++ Required Skills: MATLAB/Simulink, Stateflow, Functional Mockup Units (FMUs), Software-in-the-Loop (SiL), Model-in-the-Loop (MiL), Hardware-in-the-Loop (HiL), Control systems theory, PID tuning methodologies, C++, Azure DevOps, Git version control, Electrical schematics, Control system instrumentation, Sensors and instrumentation, Agile development processes, Model Predictive Control, Adaptive Control, AI/ML control techniques, Linux-based programmable controllers, PLC programming 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