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Graduation Assignment: Anomaly Detection/ Supervised learning using Graph Mining

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About us

At Weheat, we're not just about heating - we're redefining it. By completely rethinking the way heat pumps are designed, we create innovative products that are both environmentally friendly and highly efficient. As creators of the Blackbird and Sparrow, cutting-edge heat pumps, we are at the forefront of heating technology and are truly making an impact. Our goal is to develop products that not only meet but exceed current environmental standards and that make sense, ensuring a greener future for all.

Our philosophy is simple: empower our people to harness their passions. By cutting down on redundant meetings and sidestepping micromanagement, we open up a world where you can fully perform in your expertise. At Weheat, growth is not just encouraged—it's expected. We encourage a community that supports and challenges, enabling each member to exceed expectations and make daring moves towards our collective goal of making an impact.

The job

Currently, our Weheat support and technical teams rely heavily on tacit knowledge when assisting with installation issues and product support. This expertise, while invaluable, remains largely undocumented and is typically applied during manual analysis of heat pump log graphs. By examining these graphs, team members identify and interpret standard patterns to diagnose and resolve issues— a process that is both time-intensive and reliant on individual expertise.

We propose to automate this knowledge-intensive task using graph mining techniques. By analyzing historical log data, we can identify recurring patterns and anomalies, encapsulating the team's tacit knowledge into an intelligent, data-driven system. This automation will enable faster, more consistent support, reduce reliance on manual expertise, and create a scalable solution for analyzing heat pump performance across all installations.

With this approach, we aim to unlock the full potential of graph mining to: enhance customer support, optimize product performance, and streamline operational workflows.

Requirements

  • Bachelor or Master study with solid foundation in control theory and power electronics.
  • Proficient in high level in data science/analytics
  • An analytical and problem-solving mindset, motivated to tackle and master technical challenges.
  • Independent in your work, coupled with the ability to collaborate effectively in a multidisciplinary team.

What do we offer you?

As part of our team, you'll work on a cutting-edge project that will transform the effectiveness of heat pumps. You're not just working on a graduation assignment; you're contributing to a greener, more sustainable future. Are you ready to apply your knowledge and skills in this exciting and challenging environment? If so, Weheat is the place for you.

Apply now and become part of the Weheat revolution! This is a unique chance to merge your skills in control and thermodynamics in a way that's rarely seen in the industry. Don't miss out on this exceptional opportunity to make a real difference in a field ready for a big transformation.

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