Data Scientist for Microfluidic Cooling Technology
Vor 6 Tagen
About Corintis
Corintis offers innovative solutions for data center sustainability by developing groundbreaking microfluidic cooling technologies. Our mission is to support future AI workloads, including generative AI systems, climate modeling, and drug discovery.
Working at Corintis
We provide a dynamic and multicultural work environment, close to the EPFL campus and Lake Geneva. Our team is passionate about solving complex computing challenges and improving data center sustainability.
Job Overview:
This internship offers an exciting opportunity to contribute to the development of microfluidic cooling technology using machine learning techniques.
Key Responsibilities:
- Apply machine learning methods, such as Neural Operators, to predict the performance of microfluidics for microchip cooling.
- Enhance current machine learning models and algorithms for improved prediction accuracy and computational efficiency.
- Collaborate with a cross-functional team to integrate machine learning solutions into our CFD framework and design and optimization process.
- Monitor and incorporate the latest research developments in machine learning, computational fluid dynamics, and topology optimization into our methodologies.
- Analyze complex datasets, interpret patterns and trends, and contribute to the evolution of topology optimization strategies.
- Contribute to the formulation of objective functions based on specific design criteria and constraints.
- Develop creative and innovative solutions addressing the complex challenges of integrating machine learning, fluid dynamics, and microfluidics.
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