Student assistant (gn): Machine Learning (ML)

MAGMA is a worldwide leading developer and supplier of software for the simulation of casting processes. We support our customers in producing efficiently, sustainably and competitively.

MAGMASOFT® autonomous engineering is used worldwide today to optimize castings for all areas of daily life, but especially in the automotive and mechanical engineering industries. We are an innovative, shareholder-managed company with more than 240 highly qualified employees and a worldwide network of subsidiaries and distributors.

at our Headquarter in Aachen we offer

Student assistant (gn): Machine Learning (ML)

We are seeking a motivated and detail-oriented student to support our data science initiatives by developing, testing, and evaluating machine learning models.

What we offer

  • Interdisciplinary collaboration with colleagues and experts across various domains;
  • A friendly, supportive, and multicultural team that will make you feel welcome from day one;
  • The freedom to contribute your own ideas and actively shape innovative solutions;
  • Collaboration in cross-functional teams that turn real-world requirements into intelligent software solutions;
  • An environment where you can learn and grow by exploring ML and best practices in model development;
  • Hands-on experience applying theory to practical, impactful problems.

Preferred Qualifications

  • Enrolled in a Bachelor's or Master’s program in Computer Science, Data Science, or related fields;
  • Practical experience with Python is beneficial;
  • Ability to work in a team;
  • Initiative & reliability;
  • Independent & structured work.
  • Available for at least 10 hours per week

Your tasks

  • Investigate and compare different supervised ML models (e.g., Linear Regression, Random Forest, etc.)
  • Implement and evaluate automatic feature selection techniques, such as Recursive Feature Elimination (RFE) combined with Cross-Validation;
  • Assess model performance;
  • Visualize and interpret model results;
  • Document methodologies and outcomes clearly for reproducibility
  • Assist data science activities

Are you ready for MAGMA?

Please send your application to:

MAGMA GmbH, Kackertstr. 16-18, 52072 Aachen or by e-mail as a PDF file to:

Show email, www.magmasoft.de

We look forward to receiving your application under Show email!

If you are applying by post, please send your application to the following address:

MAGMA GmbH
Kackertstr
. 16-18
52072 Aachen
Germany