Mathematical Algorithm Engineer – m/f/d

Posted Nov 4

This is a fully remote position, open to applicants in Germany.

📋 Description

• Create mathematical models, calibration algorithms, and numerical methods for intricate optical measurement and inspection systems.

• Formulate and resolve optimization, estimation, and inverse challenges while considering accuracy, stability, and numerical robustness.

• Implement, test, and enhance algorithms utilizing C++ and Python.

• Ensure that performance, convergence, and quality standards are achieved.

• Analyze measurement data and perform sensitivity and uncertainty assessments.

• Validate simulation outcomes against actual experimental data from laboratory settings.

• Document mathematical models, solution methods, and results in technical specifications, white papers, and development documentation.


⛳️ Requirements

• A completed degree in mathematics, physics, computer science, computational science, electrical engineering, or a related field.

• Relevant professional experience in the development, implementation, and validation of mathematical algorithms in either a scientific or industrial context.

• Strong knowledge of numerical linear algebra.

• Strong knowledge of numerical optimization techniques.

• Strong knowledge of statistical estimation theory.

• Strong knowledge of Bayesian modeling.

• Proficient in developing and implementing mathematical algorithms using C++ and Python.

• Familiarity with NumPy and SciPy is a plus.

• Experience in numerical simulations, inverse problems, signal processing, or computational imaging is an advantage.

• Proficient in written and spoken German and English.


🏝️ Benefits

• Specialized training.

• Mentoring.

• Innovative projects.

• Location-flexible work depending on project needs and team coordination.

• Flexible working hours.

• Opportunities to work across various locations.

• Be part of a diverse and open team.

• A wide range of learning opportunities for both professional and personal growth.

• Temporary assignment to a customer project.

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