Fraunhofer IIS

Master's Thesis – Raw Material Price Forecasting with Artificial Intelligence and Machine Learning

Fraunhofer IIS

part-time

Posted on:

Location Type: Office

Location: Nürnberg • Germany

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Tech Stack

PandasPythonPyTorch

About the role

  • You will investigate the feasibility of price forecasting for a raw material such as aluminum, scrap, or similar.
  • You will work on a concrete data-analytics project including data collection, data preparation, model development, and evaluation.
  • You will learn to apply modern methods such as neural networks to develop predictive models.

Requirements

  • You are enrolled in a degree program with a data-driven or economic focus (e.g., Business Mathematics, Mathematics, Statistics, Business Informatics, Computer Science).
  • You have experience with the Python programming language, particularly with the PyTorch and Pandas libraries.
  • You are willing to study the theory of forecasting methods and the price formation of the commodity.
  • You are interested in data and the potential insights it contains.
  • You work independently, methodically, and demonstrate initiative.
Benefits
  • Shape your schedule: Benefit from flexible working hours that fit perfectly with your studies.
  • Join a creative team: Experience an open and collegial work environment where your ideas are valued.
  • Variety that inspires: Enjoy varied tasks that inspire and challenge you.
  • Actively shape the future: Contribute to application-oriented research and put your theoretical knowledge into practice.
  • Innovations that excite: Work on engaging and forward-looking projects that make a real difference.
Applicant Tracking System Keywords

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

Hard Skills & Tools
data analyticsdata collectiondata preparationmodel developmentmodel evaluationneural networksPythonPyTorchPandasforecasting methods
Soft Skills
independencemethodical workinitiative