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Computational Electro-Magnetics Engineer

Description In-depth understanding and development of electromagnetic solvers, particularly based on (spectral) Integral Equation MethodsDevelopment of new functionality with these Maxwell solvers, e.g. in alignment simulations, integrated with optical sensor modeling. Focus on the Maxwell solver speed and accuracy is essential, combining solver-internal algorithmic development with application-specific approaches, that may include machine learning methods for accuracy and performance.Responsible for developing, testing and maintaining the algorithms, and turning general requirement definitions into functioning modules, particularly for the Maxwell solver.Communicate crystal clearly without omitting the essentials on the mathematical principles, algorithmic solutions and Maxwell solver-models, to internal stakeholders such as in the ASML Research department, and ASML counterparts e.g. in the US.Contribute to the group ASML Competencies, and propose and develop new or improved metrics and algorithms that meet internal and external customers’ product requirements.Review technical analyses from the team, and structure team contributions keeping the overview.Consolidate technical-team identity in communication with other departments.Contribute to technical product roadmaps and generate intellectual property protecting ASML products.Work as a team with similar-minded people, and collaborate to benefit from each other’s specific competences.Keywords: computational electromagnetics, scientific computing, periodic and non-periodic Maxwell solvers, integral equation methods, optimization techniques, inverse problems, sampling and interpolation, physical modeling, calibration, machine learning, signal processing.Education Ph.D. or M.Sc. in electrical engineering, physics, applied mathematics or computer science.SkillsDemonstrated academic or industrial experience to develop tailored numerical algorithms in the physics / engineering domains. Your skills cover the full range of computational physics: identification of the essential physics of the problem; design of rigorous numerical schemes; and highly efficient code implementation.Experience in code development with EM-simulation algorithms, e.g. integral equation methods or RCWA, is an advantage; or, alternatively, experience in domains such as acoustics or electronic structure.Experience in development of scalable codes based on iterative solvers and spectral methods is preferred.Excellence in numerical mathematics, and affinity with machine learning methods.Experience with HPC, Linux environment, and solid knowledge of C++11 / Python / Fortran / MATLAB programming languages, and knowledge of MPI is an advantage.Good team working skills, strategic thinking, and self-motivated.Strong verbal and written communication skills.Drive creative solutions with the product and customer in mind.Ability to explain complex physical models and algorithms in a crisp way, without omitting the essentials.Decisive and self-initiating in an ambiguous environment, and ability to influence without power.Pragmatic approach and pro-active attitude, with focus on the result and a ‘can do’ spirit.Affinity with semiconductor lithography and IC design is an advantage.Diversity and inclusionASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company.Need to know more about applying for a job at ASML? Read our .

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