Research Scientist - Computational Modeling
Siemens Corporate Technology - Princeton, NJ

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The Research &Technology Center (RTC) is at the heart of Siemens R&D. Its strong technology base makes it a strong in-house partner for innovation. We develop technologies with wide applicability for the Siemens Divisions and help them to successfully bring innovations to market. Our about 1,900 scientists at locations in North America, Europe, and Asia ensure the technological and innovative future of the company.

The Imaging and Computer Vision technology field of Siemens Corporate Technology has an immediate opening in Princeton, NJ for a full-time Research Scientist -Computational Modeling position. Ideal candidates will have in-depth knowledge of biophysical modeling, continuum mechanics, Finite Element Modeling (FEM), computational fluid dynamics, inverse problems, numerical methods, optimization and strong software development skills.
CT is one of the world’s premier research labs for computer vision and medical imaging.

What are my responsibilities?

• Perform research in the area of computational modeling of biological systems (e.g., electrophysiology, mechanics, and fluid dynamics) to advance the state-of-the-art, including generating publications in top journals and conferences.
• Perform research in the area of biophysical model personalization and parameter optimization based on clinical data (images, signals, reports, etc).
• Translate technology to provide working solutions for commercial, scientific or industrial applications.
• Quick prototyping, feasibility studies, requirement specification and implementation of software components.
• Definition of algorithm requirements in collaboration with customers.

What skills are needed to qualify for this job?

• Ph.D. in Biomedical Engineering, Mechanical Engineering, Applied Mathematics, Computer Science or equivalent relevant discipline.
• Proven record in biophysical modeling with record in research, innovative thinking and real world problem solving (numerical modeling, inverse problems, and optimization techniques in particular).
• Strong experience in numerical solvers for biophysical simulations.
• Ability to develop new research ideas to the level of a working system prototype.
• Ability to quickly prototype in C++. GPU programming experience is a plus.
• Outstanding written and verbal communication skills.
• Excellent interpersonal skills and can do attitude.
• Ability to work independently and prioritize work.
• Strong collaboration skills and ability to thrive in a fast-paced environment.
• Willing to accept challenges and responsibilities.
• Flexibility and adaptability to work in a growing, dynamic team.
• Successful candidate must be able to work with controlled technology in accordance with US export
control law.

What else do I need to know?

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