Master Thesis: Carbon In, Carbon Out – Making CO₂ Visible from Processes to Products. A Data-Dr[...]

These are your main tasks

What do aircraft, trains and military (air) vehicles have in common? They are equipped with increasingly complex, safety-critical electronic systems. SPHEREA's test systems ensure the mobility and safety of these complex systems even tomorrow. Would you also like to support to keep these systems safe? Then become part of our young, dynamic and excellent team.

Motivation and Problem Statement

The systematic measurement, assessment, and reduction of greenhouse gas emissions is becoming increasingly important for companies, driven by regulatory requirements as well as by sustainability strategies, competitiveness, and transparency expectations from customers and stakeholders.

In practice, however, CO₂ accounting is often conducted on a periodic and largely manual basis, which limits transparency and prevents timely operational steering. In many organizations, a consistent data architecture enabling automated, near real-time, and certification-ready CO₂ accounting is still lacking.

Against this background, this master’s thesis aims to develop a robust and practice-oriented concept for automated CO₂ accounting at company, process, and product level.

Objectives of the Master’s Thesis

The objective of the master's thesis is the conceptual development of a practical approach to CO₂ accounting in a medium-sized industrial company. The thesis aims to provide a fundamental understanding of

• the methodological requirements for CO₂ accounting,
• which internal company data is generally suitable,
• and how this data can be used at a conceptual level for structured CO₂ assessment.

The focus is on the transparent and comprehensible presentation of the relationships between company data and CO₂ emissions. On this basis, possibilities for simplifying and partially automating CO₂ calculation are to be identified. The results of the thesis serve as a technical and conceptual basis for possible further development or implementation in the company at a later date.

This is our offer

• Integration into our team - not just "the student".
• Insights into the processes of a medium-sized company
• Exciting and challenging tasks in a technical environment
• A growth-oriented company with attractive entry opportunities
• A mentor and individual support
• A dynamic team with an excellent working atmosphere
• A modern, attractive location with innovative laboratory and office space

These skills are needed

• Study with focus on Business Information Systems/ Data science / Data analytics / Statistics / Mechanical engineering / Industrial engineering or similar
• Fundamentals of data modeling/information structuring
• Interest in sustainability, ESG topics, and CO₂ accounting
• Basic knowledge of data analysis and programming (Excel VBA, Python, R, or comparable tools)
• Strong technical and business-oriented understanding
• Ability to work independently and in a structured manner
• Strong analytical skills and solution-oriented mindset
• Independence and proactivity
• Ability to quickly understand complex topics
• Good knowledge of English
• Nice-to-have:
  • Initial experience with low-code tools or database software
  • Basic programming skills (Python, R, SQL)
  • Interest in management metrics / KPIs

Trial work day

Not sure if SPHEREA is right for you? Then come and observe a colleague at work and discover SPHEREA during a no-obligation trial day. Please do not hesitate to contact us to register.