Fraunhofer-Gesellschaft

Data-Driven Process Analyses in Epitaxy

Fraunhofer-Gesellschaft

internship

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Location Type: Office

Location: Freiburg • Germany

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About the role

  • The master's thesis involves a systematic analysis of the existing epitaxy datasets at Fraunhofer IAF with the aim of developing concrete, actionable proposals for AI-based analyses (data preparation, suitable model classes, evaluation concepts, infrastructure/tooling) to reduce experimental effort in developing new material compositions and accelerate the implementation of new ideas.
  • You will perform exploratory analysis of the existing epitaxy datasets from various systems and identify potential analysis targets, e.g., prediction, anomaly detection, process understanding.
  • Based on literature review and leveraging expert knowledge within the Fraunhofer network, you will assess suitable AI methods and evaluation metrics for feasibility with respect to the available data.
  • You will develop a concrete implementation plan (data pipeline, model architectures, validation strategy, required resources) with recommendations and prioritized next steps.

Requirements

  • Enrolled master's student in natural sciences, engineering, materials science, computer science, or a related field
  • Initial experience applying various neural network architectures to build simple AI models for processing empirical data
  • Knowledge in materials science, crystallography, chemistry, or solid-state physics is beneficial
  • Good German and English language skills
  • Enjoyment of experimental work
  • Teamwork skills, openness, and motivation for independent, goal-oriented work
Benefits
  • Personal supervision on an equal footing and support from experienced scientists and specialists throughout your thesis
  • Modern laboratory facilities in a new lab building
  • Flexible working hours compatible with your studies
  • Collaboration within an interdisciplinary team, including participation in current projects with clear objectives
  • An open, team-oriented organizational culture that gives you the opportunity to contribute your own ideas
  • Diverse and exciting tasks within an internationally renowned research institution
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
neural network architecturesAI modelsdata preparationmodel classesevaluation conceptsdata pipelinemodel architecturesvalidation strategyexperimental data processinganomaly detection
Soft Skills
teamworkopennessindependent workgoal-oriented workenjoyment of experimental work