Senior Scientist, Electromagnetic Tomography
vor 1 Monat
This position is a full-time, in-person position at our Vienna, Austria, office, located in the eastern part of Vienna in the Donaustatd area.
**Role and responsibilities**
- Implement and optimize algorithms in the programming languages Python and C++, ensuring scalability, robustness, efficiency, and maintainability.
- Conduct comprehensive testing and validation of algorithms using real-world data, iterating as needed to improve accuracy and performance.
- Collaborate with the engineering team to integrate developed algorithms into system architecture.
- Participate in code reviews and provide constructive feedback to team members to maintain code quality and consistency.
- Proactively troubleshoot and address issues related to algorithm performance and integration.
- Support the experimental and test activities in the lab and at clinical sites.
- Take part in data collection and documentation for regulatory submissions of imaging products.
- Follow the requirements of EMTensor’s Quality Management System.
**Essential Qualifications and Experience**
- Experience in algorithm optimization
- Hands-on experience and strong practical skills in coding, debugging and documentation of software products related to numerical methods, especially using languages such as C++ and Python.
- Ability to lead a team of math physicists
- Interpersonal skills and abilities to communicate and work in a team environment across all levels of the organization.
**Desired qualifications and experiences**:
- Experience in inverse problem of diffraction tomography.
- Knowledge of code parallelization (MPI, MP and CUDA) and the use of in-cloud computing.
- Experience in commercial electromagnetic simulation tools such as HFSS, CST.
- Experience in AI for imaging processing.
- Experience using commercial electromagnetic simulation tools such as HFSS, CST.
- An understanding FDA and EU MDR quality and regulatory standards.
Compensation is commensurate with the experience.
How to Apply:
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