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Master Thesis: Data-Driven Optimization of Energy Use in Industrial Facilities

​Rudeboksvägen, Lund, Skåne län, Sweden, 226 55

Full time

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About the job

Master Thesis: Data-Driven Optimization of Energy Use in Industrial Facilities

  • Lund
  • Full time
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Every day, we get opportunities to make a positive impact – on our colleagues, partners, customers and society. Together, we’re pioneering the solutions of the future and unlocking the full potential of precious resources. Trusted to act on initiative, we challenge conventional thinking to develop world-leading technologies that inspire progress in vital areas, including energy, food, water and shipping.

As we push forward, the innovative, open spirit that fuels our 140-year-old start-up culture and rapid growth also drives our personal growth. So, as we shape a more resourceful, less wasteful world, we build our careers too.

About the Job
We are looking for a Master’s thesis student to explore data-driven strategies for optimizing energy consumption across industrial facilities, including production equipment, offices and supporting systems.

At Alfa Laval, we always go that extra mile to overcome the toughest challenges. Our driving force is to accelerate success for our customers, people and planet. You can only achieve that by having dedicated people with a curious mind. Curiosity is the spark behind great ideas. And great ideas drive progress.

As a member of our team, you thrive in a truly diverse and inclusive workplace based on care and empowerment. You are here to make a difference. Constantly building bridges to the future with sustainable solutions that have an impact on our planet’s most urgent problems. Making the world a better place. Every day.

About the Master Thesis Project
This project focuses on exploring how the existing energy monitoring system can be used more systematically to identify and evaluate opportunities for energy optimization across facilities. This includes production equipment as well as offices and auxiliary systems. The student will investigate how existing energy data, especially from high-consumption areas, can support smarter decision-making. The goal is to uncover low-hanging fruits for improvement, prioritize them, and demonstrate one selected use case through simulation or analytics. The emphasis is on electricity-related insights across facilities

What You Will Do

  • Explore the energy monitoring system to understand available data and its potential for analysis.

  • Identify and prioritize opportunities for energy optimization based on systematic data exploration.

  • Select one use case and evaluate it using Tecnomatix Plant Simulation or other suitable analytical methods.

  • Visualize and communicate the impact of the proposed improvement to support operational decision-making.

Who You Are
You are a Master’s student in mechanical engineering, industrial engineering, or a related field with a strong interest in energy optimization in industrial facilities. You have hands-on experience with simulation tools such as Tecnomatix Plant Simulation or similar discrete event simulation software. You have a structured approach to analyzing data and identifying improvement opportunities. Experience or interest in facility energy management, energy monitoring, or data-driven decision support is a plus.

For more information, please contact:

Magnus Roth, Manager Group Energy Solutions
magnus.roth@alfalaval.com

Adrian Sánchez de Ocaña, Industrial Ph.D. Candidate, Smart Manufacturing
adrian.sanchezdeocana@alfalaval.com

Princess Jeremy Bondoc, Talent Acquisition Coordinator
princessjeremy.bondoc@alfalaval.com

Please send your application no later than January 1, 2026.

We don’t accept applications sent directly via email.

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