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Master's Student in Machine Learning and Data Science
vor 3 Wochen
Position Title: Master's Student in Machine Learning and Data Science
Organization: Deutsches Zentrum für Luft- und Raumfahrt (DLR)
Become a part of the innovative environment at the Deutsches Zentrum für Luft- und Raumfahrt (DLR), where we are dedicated to advancing technology through research and creativity. Our diverse team, comprising individuals from various backgrounds, collaborates to develop sustainable solutions and address pressing global issues. Are you prepared to contribute to this significant mission? We welcome you to join us.
We are seeking a Master's student specializing in Computer Science, Engineering, or Natural Sciences to engage in the development and training of a machine learning model aimed at predicting the properties of materials used in advanced structural applications.
Key Responsibilities:- Assessment and selection of suitable machine learning models for material property prediction
- Design, planning, and creation of synthetic training datasets utilizing Finite Element analysis
- Training and assessment of chosen machine learning models with synthetic datasets
- Verification of the most effective model using empirical data
- Academic background in Computer Science, Engineering, or Natural Sciences
- Proficiency in Python programming language
- Familiarity with machine learning techniques and data analysis methodologies
- Ability to work independently, with a structured approach and dedication
- Desirable: Proficient in German (both spoken and written)
DLR is committed to fostering diversity, respect, and equality among all individuals. We encourage autonomous work and support the personal and professional growth of our employees. We provide a variety of training and development opportunities. Promoting equal opportunities is a priority for us, particularly in enhancing the representation of women in scientific and leadership roles. We prioritize applications from individuals with disabilities who meet the professional qualifications.
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