Master-Thesis: Application of Machine Learning in Battery Cell Manufacturing (all genders)

PowerCo; Salzgitter; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A leading battery cell production company in Salzgitter is looking for a student to develop machine learning models for optimizing production processes. Candidates should be pursuing a degree in IT or Engineering and have initial experience in statistical analysis and programming. This role offers the opportunity to significantly contribute to e-mobility efforts in a diverse and supportive team environment.

Leistungen

Health and wellness programs

Regular social events

Corporate Benefits

Qualifikationen

• Currently pursuing a degree in IT, Engineering, or a related field.
• Initial experience with statistical analysis, data modeling, and machine learning.
• Strong analytical and problem-solving skills.

Aufgaben

• Analyze the state of machine learning in battery production.
• Identify process parameters for use cases.
• Establish data pipelines for production data.

Kenntnisse

Statistical analysis

Data modeling

Machine learning

Programming in Python

SQL proficiency

Analytical skills

Teamwork

Ausbildung

Degree in Information Technology, Engineering, or related field

Jobbeschreibung

Who We Are

Our mission has started. We are starting our own battery cell production in Battery Valley in Salzgitter and ramping up our headquarters for global cell production. A key factor in scaling up battery cell production is the manufacturing of prototypes, which ensures the manufacturability of new cell designs. Data analytics plays an important role in evaluating the manufacturing processes by enhancing the understanding of the complex cause-and-effect relationships in battery cell production. This thesis aims to develop machine learning models that capture these relationships based on data from pilot line production. The models will enable predictive analytics for optimizing product quality and process settings, ultimately accelerating process development.

Your Role And Key Responsibilities

• Analyze the state of the art of machine learning in battery cell production and identify potential use cases
• Identify relevant process parameters, material properties and product properties for the selected use case
• Establish data pipelines for acquisition and preprocessing of production data
• Augment existing data through the generation of synthetic or experimental data
• Develop and validate machine learning models to predict key product properties
• Create a tool based on user requirements to leverage the machine learning models
  
  

What You Bring To The Team

• Currently pursuing a degree in Information Technology, Engineering, or a related field
• Initial experience with statistical analysis, data modeling and machine learning
• Familiarity with programming languages such as Python, SQL, or similar
• Strong analytical and problem-solving skills
• Excellent communication and teamwork abilities
• Fluent in German and/or English, both written and spoken
  
  

What Makes You Stand Out

• Initial knowledge of the manufacturing processes of battery cell production
  
  

What To Look Forward To

• Diverse work environment with strong team-spirit
• Project ownership through which you can actively take part in shaping the future of e-mobility
• Health and wellness programs
• Regular social events
• Corporate Benefits