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An advanced technology firm in Singapore is seeking a qualified individual to develop and validate mathematical models and simulations for the slit coating process. The ideal candidate will possess a Master's or Ph.D. in engineering or science, engaging in collaborative efforts to enhance coating quality and efficiency. This position requires expertise in simulation tools, fluid dynamics, and programming, offering professional growth opportunities in a competitive environment with cutting-edge projects.
Develop and validate complex mathematical models and algorithms to simulate the physics of the slit coating process, including fluid flow, material properties (viscosity, surface tension, rheology), tool parameters (coating speed, coating gap, slot die head design), and thermal dynamics.
Utilize CFD software to analyse and screen a broad range of tool parameters and material variables to identify optimal die geometry, ideal material properties (e.g., a target viscosity range), and a stable operating window without consuming expensive materials or time.
Design and execute simulation experiments to test hypotheses, identify critical process parameters (e.g., coating speed, flow rate, die gap, substrate speed), and validate model accuracy against physical experimental data.
Collaborate with cross-functional teams including design engineers, material scientists, and manufacturing teams to design highly focused DoE guided by the insights from simulation and validate the simulation models and confirm the optimized parameters in a real-world setting.
Analyse simulation results, interpret findings, and provide actionable insights and recommendations to improve coating quality, reduce defects, and enhance process efficiency.
Document simulation methodologies, assumptions, and results comprehensively in technical reports and presentations for internal and external stakeholders.
Stay current with advancements in simulation software, numerical methods, and relevant industry standards related to thin-film deposition and organic electronics.
Education: Master's or Ph.D. in a relevant engineering or science field with a focus on computational methods or fluid dynamics.
Experience: Proven experience using simulation tools for complex engineering problems, ideally in fluid dynamics or coating processes.
Technical Skills: Proficiency in simulation software (COMSOL, ANSYS Fluent), programming (Python, MATLAB, or C++), fluid dynamics, surface tension, and material science. Knowledge of quality control and data analysis is also required.
Soft Skills: Strong analytical, problem-solving, and communication skills. Ability to work both independently and as part of a team.