Master Thesis

**Master Thesis (M/F/d) - Anomaly Detection for Optimization of ERP Parameters**:
**At ABB, we are dedicated to addressing global challenges. Our core values: care, courage, curiosity, and collaboration - combined with a focus on diversity, inclusion, and equal opportunities - are key drivers in our aim to empower everyone to create sustainable solutions. That's our story. Make it your story.**:
**This position reports to**:
Digital Lead - Regional

**Your role and responsibilities**:
We will support you in the final phase of your bachelor or master’s degree course. Compile your practically-oriented thesis with us, and seize the opportunity to gain insights into an international group. ABB will provide you with wide-ranging, professional and expert support to bring your thesis to a successful conclusion. The financial support we can offer includes a utilization bonus for your thesis The following tasks and responsibilities will be part of your role: - Development of an overview of applicable AI and/or ML methods for the optimized usage of ERP parameters. - Testing of at least one approach. - Evaluation of the results from the tested approaches. - Preparation of a proposal for implementation in the business process.

**Qualifications for the role**:

- Studies in Mathematics, Computer Science, Engineering, or a related field
- Good knowledge of Statistics and/or Machine Learning
- Basic knowledge of ERP systems is an advantage
- Proficiency in German and/or English, both written and spoken
- Creativity, strong communication skills, high motivation, and an independent working style

**More about us**: