Design and Develop Solutions for Inverse Problems:
Conceptualize and implement robust ML pipelines to handle inverse problems, including parameter estimation, model calibration, and uncertainty quantification.
Physics-Informed Neural Networks (PINNs):
Develop and refine architectures leveraging physical laws and partial differential equations (PDEs) to guide network training and improve generalization.
Research & Prototyping:
Stay updated with state-of-the-art methods in inverse problems, scientific machine learning, and computational modeling. Conduct rapid prototyping and exploratory research to validate new ideas.
Model Deployment & Scalability:
Integrate ML models into scalable, production-ready systems. Work closely with other data scientists and software engineers to ensure smooth deployment and maintenance.
Collaboration & Mentorship:
Collaborate with cross-functional teams of scientists, data engineers, and domain experts. Provide technical leadership and mentorship to junior team members.
Education:
Experience & Technical Skills:
Soft Skills:
QuantumDiamonds develops and deploys world-leading quantum sensing technologies and tools for the failure analysis and metrology of a new generation of semiconductor chips, enabling innovation within the heterogeneous integration and advanced packaging era. In close collaboration with leading customers across the globe, our expert teams of quantum physicists, engineers, and data scientists design metrology tools that move the industry forward.
If you have any questions regarding the application process or whether you are the right fit for QuantumDiamonds GmbH, please don't hesitate to contact us at careers@quantumdiamonds.de.