Dynamic Systems and Servo Analysis Researcher

ASML•Wilton, CT

3d•Onsite

About The Position

As a Dynamic Systems and Servo Analysis Researcher, you will help advance precision-motion technologies used in ASML’s lithography systems. Working within Mechanical Development, you will model structural dynamics, servo behavior, and multidisciplinary system performance to evaluate emerging concepts and guide technology-development decisions. You will connect mechanical, electrical, actuator, sensor, and control-system behavior through modeling and simulation, helping researchers understand performance limits, manage technical risks, and identify promising technology directions. You will also strengthen modeling methods and reusable research capabilities across ASML. You will lead focused modeling and analysis activities for advanced precision-motion and mechatronic systems, choose appropriate approaches and modeling fidelity for research questions, and translate complex results into practical technical recommendations. The role involves developing dynamic, finite element, reduced-order, and system-level models; integrating structural models with actuators, sensors, drive electronics, control loops, disturbances, and representative motion profiles; and analyzing system dynamics, performance, stability, and limitations. You will document assumptions and uncertainties, validate predictions, and communicate recommendations to technical and multidisciplinary audiences. The position is on-site and requires in-person collaboration, laboratory activities, training, and meetings. Flexible workplace arrangements may be available under company policy. Domestic or international travel may be required based on business needs. The role may require access to controlled technology and compliance with applicable export-control requirements. There may be exposure to strong magnetic fields, high voltage, and currents.

Requirements

Master’s degree or doctorate in Mechanical Engineering, Mechatronics, Aerospace Engineering, Electrical Engineering, Controls Engineering, Applied Physics, Applied Mathematics, or a related technical discipline.
Significant professional or research experience in structural dynamics, control systems, precision mechatronics, or integrated system simulation.
Experience applying modeling and simulation to complex multidisciplinary engineering systems.
Experience with finite element analysis and tools such as ANSYS, Siemens NX, COMSOL Multiphysics, MSC NASTRAN, or comparable platforms.
Experience with MATLAB and Simulink, Python, or comparable modeling and data-analysis environments.
Strong knowledge of structural dynamics, vibration analysis, feedback control, finite element methods, and numerical modeling.
Ability to analyze flexible structures interacting with closed-loop control systems.
Ability to translate physical architectures into consistent mechanical, electrical, and control-system models.
Ability to evaluate bandwidth, stability, servo error, disturbance rejection, settling performance, and actuator or sensor limitations.
Ability to correlate simulations with measurements and use data to improve model accuracy and credibility.
Ability to use modeling and data-analysis environments for modeling, automation, optimization, visualization, and data analysis.
Ability to approach open-ended research questions analytically and translate them into structured analysis plans.
Ability to collaborate across mechanical, electrical, mechatronics, controls, research, and systems-engineering disciplines.
Ability to communicate assumptions, uncertainty, technical tradeoffs, and recommendations clearly to diverse technical audiences.

Nice To Haves

Experience generating or using reduced-order and state-space models.
Experience supporting early-stage technology development, feasibility studies, or advanced engineering research.
Background in precision motion systems, mechatronics, robotics, semiconductor equipment, aerospace systems, scientific instrumentation, or comparable high-performance equipment.
Experience with model-order reduction and state-space realization techniques.
Experience with frequency-domain and time-domain simulation of servo-controlled systems.
Experience with electromechanical plant modeling and analysis under demanding acceleration, scanning, settling, and disturbance conditions.
Experience with unconventional analysis methods, automated model generation, optimization, or AI-assisted engineering workflows.

Responsibilities

Lead focused modeling and analysis activities for advanced precision-motion and mechatronic systems.
Determine the appropriate modeling approach and fidelity for each research question.
Develop dynamic, finite element, reduced-order, and system-level models for precision-motion systems.
Integrate structural models with actuators, sensors, drive electronics, control loops, disturbances, and representative motion profiles.
Analyze structural modes, dynamic stiffness, compliance, frequency response, motion accuracy, control bandwidth, settling behavior, stability, and disturbance sensitivity.
Identify dominant performance drivers, coupling mechanisms, sensitivities, technical risks, and system-level limitations.
Document assumptions, boundary conditions, uncertainties, limitations, and analysis methods.
Validate model predictions using engineering calculations, sensitivity studies, benchmarks, and experimental or system-level measurement data when available.
Communicate findings and technically defensible recommendations to researchers, engineers, system architects, and technical leadership.
Share models, methods, and lessons learned to strengthen reusable research capabilities.