DLR21.03.26
AI SCORE 7.5

Master's Thesis Position - Model-Based Interpretation of IR Images

$30K–$40K/year

About the Role

We are offering a unique opportunity for a Master's Thesis position focused on model-based interpretation of IR images. This role is ideal for students currently enrolled in a master's program in computational engineering, physics, materials science, or a related field. As a part of the DLR (German Aerospace Center), you will contribute to innovative research aimed at making renewable resources available and replacing fossil fuels.

What You'll Do

  • Conduct literature research on the state-of-the-art digital representation of porous structures.
  • Perform optical and thermal simulations of porous structures.
  • Engage in model-based interpretation of thermographic images.
  • Utilize programming skills, particularly in Python, for data analysis.
  • Develop data-driven models to enhance research outcomes.

Requirements

  • Current enrollment in a master's program in computational engineering, physics, materials science, or similar.
  • Initial experience with optical and thermal simulations (e.g., ray tracing).
  • Programming skills in Python for data analysis.
  • Creative problem-solving skills and an independent, structured working style.
  • Good communication and presentation skills in English and German.

Nice to Have

  • Experience in conducting research in renewable energy technologies.
  • Familiarity with thermochemical cycles and their applications.
  • Knowledge of data visualization tools.

What We Offer

  • Competitive remuneration based on qualifications, up to pay group 5 TVöD.
  • Opportunity to work on cutting-edge research in CleanTech.
  • Flexible working conditions, including remote work options.
  • Supportive and collaborative work environment.
  • Access to advanced research facilities and resources.
Language Requirements
EnglishB2
GermanB2
BasicIntermediateAdvancedNative
Why This Job7.5 of 10

This Master's Thesis position at DLR offers a unique opportunity to work on innovative CleanTech research. With competitive remuneration and remote work options, it's an excellent chance for students to gain valuable experience.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

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