Scientific Computation and Machine Learning– Internship
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Summary
About the Role
About You
- Enrolled in a Computer Science, Electrical Engineering, Statistics, Applied Mathematics or a similar Engineering PhD program using AI/ML approaches for Protein Modeling.
- Ability to quickly learn to use new technologies and frameworks.
- Experience with setting ML model training and testing/evaluating ML models.
- Graduate level courses in Statistics, Data Modeling and AI.
- Basic understanding of the latest ML approaches and architectures.
- Hands-on experience with software development in Python.
- Flexibility and resourcefulness to work in a growing, dynamic, interdisciplinary team.
- Ability to work independently and manage time effectively.
- Proficiency in English (verbal & written).
- Legally authorized to work in the United States without corporate sponsorship.
- Hands-on experience with Scientific Machine Learning.
- Familiar with Linux systems and computational clusters (CPU/GPU).
- Basic experience in version control systems and agile development.
- Real-world problem-solving and a hands-on, can-do mentality.
- Eager to present proposals and results in front of a big audience.
Benefits
- Competitive hourly wage ranging from $32 to $47.
- Opportunity to work in a dynamic and innovative research environment.
Siemens AG (Berlin and Munich) is a leading technology company focused on industry, infrastructure, mobility, and healthcare. The company’s purpose is to create technology to transform the everyday, for everyone. By combining the real and the digital worlds, Siemens empowers customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more livable, and transportation more sustainable. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. In fiscal 2024, which ended on September 30, 2024, the Siemens Group generated revenue of €75.9 billion and net income of €9.0 billion. As of September 30, 2024, the company employed around 312,000 people worldwide on the basis of continuing operations.