📊 Innovationsprojekt: Master Thesis zur Datenreduktion bei Siemens Energy in Mülheim

Location: MLH R

Mode of Employment: Full-time / Fixed Term

How You’ll Make an Impact

• Surveying existing dimensionality reduction and feature selection methods applicable to time series data
• Developing and testing new algorithms tailored for high-dimensional time series datasets
• Benchmarking algorithm performance against traditional approaches
• Collaborating with the research team to interpret and visualize experimental results
• Documenting methodologies and research findings for publication or internal use
• Supporting knowledge sharing and discussion within the team to advance project goals

What You Bring

• Enrollment as a Master’s student in Data Science, Computer Science, Mathematics, or related disciplines
• Experience with machine learning algorithms and time series analysis
• Proficiency in programming languages such as Python or R (preferably R)
• Familiarity with dimensionality reduction and feature selection techniques
• Strong analytical skills for data interpretation and algorithm evaluation
• Effective teamwork and collaboration abilities

Who is Siemens Energy?

Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

Rewards/Benefits

• Exciting insights into an international company
• Lay the foundation for your career with us

We value equal opportunities and welcome applications from people with disabilities.

https://jobs.siemens-energy.com/jobs