Master's Thesis – Commodity Price Forecasting with Artificial Intelligence, Machine Learning
Fraunhofer IIS
part-time
Posted on:
Location Type: Office
Location: Nürnberg • Germany
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About the role
- You will investigate the feasibility of a price forecast for a commodity such as aluminum, scrap, or similar materials.
- You will work on a concrete data analytics project including data collection, data preprocessing, model development, and evaluation.
- You will learn to apply modern methods such as neural networks to develop forecasting models.
Requirements
- You are studying a subject with a data-driven or economic focus (e.g., Business Mathematics, Mathematics, Statistics, Business Informatics, Computer Science).
- You have experience with Python, particularly with the PyTorch and Pandas libraries.
- You are willing to study the theory behind forecasting methods and the price formation mechanisms of the commodity.
- You are interested in data and the hidden potential it contains.
- You work independently, thoroughly, and show 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 working atmosphere where your ideas are valued.
- Exciting variety: Look forward to diverse tasks that inspire and challenge you.
- Help shape the future: Participate in application-oriented research and put your theoretical knowledge into practice.
- Innovations that inspire: Work on exciting, 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 preprocessingmodel developmentmodel evaluationneural networksforecasting methodsprice formation mechanismsPythonPandas
Soft Skills
independencethoroughnessinitiative