Job
Description
Position : Digital Twin Engineer Position Overview : We are seeking a highly motivated Digital Twin Engineer with the passion and expertise to design and maintain virtual models of complex, multi-domain/Multiphysics physical systems. These digital twins will serve various applications, including health monitoring, diagnostics, prognostics, process optimization and advanced control systems. The ideal candidate will possess: Modeling Expertise : Ability to analyze physical systems, identify critical features and dynamic phenomena, and develop computer models that accurately capture relevant behaviors and interactions. Data Integration Skills : Proficiency in writing software to integrate live-streaming data feedback with virtual models, enabling real-time and accelerated updates to digital twins. System Optimization : Capability to balance trade-offs between model accuracy, data sampling rates, execution time steps, domain representation, and computational resource utilization to meet diverse application requirements. Collaborative Approach : Experience working independently and within multidisciplinary teams to devise tailored digital twin strategies. This includes employing both physics-based and behavioral modeling techniques to deliver reliable solutions for various Process Industries. Primary Responsibilities: Develop, implement, and maintain high-fidelity virtual representations of physical systems. Optimize digital twin performance for specific use cases, balancing precision and efficiency. Collaborate with a cross-disciplinary engineering team to perform research and develop models and simulations of integrated power systems for navy ships, leveraging varying levels of fidelity. Integrate and analyze data from diverse sources within a process Industry framework to evaluate and forecast the effects of various states on mission-level outcomes. Utilize and expand proficiency in various programming languages (preferably Python) and software tools (e.g., MATLAB, Simulink) to support collaboration with modeling, simulation, and software development teams. Contribute expertise in distributed systems and systems engineering through technical analysis, software creation, and product development efforts. Communicate research findings, technical progress, and requirements to both technical and non-technical stakeholders, including customers, government representatives, and project managers, through clear written documentation and oral presentations. Core Requirements: Bachelor s degree in electrical engineering, mechanical engineering, computer science, or a related technical field. Strong proficiency in at least one modeling and simulation platform, with MATLAB/Simulink being highly preferred. Skilled in Python Hands-on experience integrating physics-based models with external systems or assets. Demonstrated expertise in one or more of the following technical domains: Electrical Power and Energy Systems : Including electric machines, gas turbines, diesel generators, propulsion systems, batteries, power electronics, switchgear, and more. Cooling and Ventilation Systems : Covering components such as heat exchangers, pumps, valves, piping, expansion tanks, and fans. Machinery Control Systems : Experience with sensing, communication, and control systems for electric plants and electromechanical systems. Fluid Machinery Systems : Experience with fundamentals of Fluid Mechanics and applied Heat and mass transfer and application in Neural Networks Additional Desired Qualifications A master s or doctoral degree in electrical engineering, mechanical engineering, or a closely related field. Extensive industry experience, technical leadership, or recognition through publications or other achievements may be considered in place of an advanced degree. In-depth understanding of simulation solvers, numerical integration methods, or best practices for ensuring robust numerical convergence. Experience with process flow in Industries Using version control systems (e.g., Git) and collaborating in agile development workflows that include peer code reviews. Automating and scheduling batches of simulations through software. Optimizing dynamic systems using objective functions and control strategies. Predictive maintenance, health estimation, or prognostics for machinery and equipment in power systems. Preferred Skills and Traits : A growth mindset and commitment to staying current with advancements in digital twin technologies. Exceptional organizational and attention-to-detail skills. Strong problem-solving abilities and adaptability in dynamic environments. Excellent verbal and written communication skills to engage with customers and articulate complex concepts effectively. If you are passionate about driving innovation through cutting-edge digital twin technology and thrive in a collaborative, fast-paced environment, we encourage you to apply!
