Physics | Materials Science internship: ai-driven experimental insights
ASML
Physics | Materials Science internship: ai-driven experimental insights
This internship at ASML Research in Veldhoven focuses on using AI and machine learning to interpret complex experimental data in materials science. The role involves developing data-driven models, analyzing heterogeneous datasets, and collaborating with researchers to bridge gaps between test environments and real-world conditions. Suitable for master's students in physics, materials science, or related fields with strong programming skills.
Physics | Materials Science internship: ai-driven experimental insights
This internship at ASML Research in Veldhoven focuses on using AI and machine learning to interpret complex experimental data in materials science. The role involves developing data-driven models, analyzing heterogeneous datasets, and collaborating with researchers to bridge gaps between test environments and real-world conditions. Suitable for master's students in physics, materials science, or related fields with strong programming skills.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Key Responsibilities
- Explore experimental datasets and understand challenges related to comparing different environments
- Evaluate Artificial Intelligence and Machine Learning methods for heterogeneous data analysis
- Develop and assess data-driven models that connect observations across experimental conditions
- Analyze results and identify meaningful patterns and relationships within complex datasets
- Collaborate with researchers from different technical disciplines to interpret findings
- Assess the potential impact of AI-driven knowledge extraction for technology development
- Present conclusions and recommendations through reports and presentations