Thesis (Bachelor/Master) Embedded Software – Optimization of sensor measurements

We are developing the Lisios WaterAlarm, a system to measure water consumption and detect leakages in residential buildings. The system consists of a device which can easily be attached to the mains water pipe by homeowners. In an app, users get detailed information about their water consumption and receive alerts in case a leakage is detected. With our system we want to protect homeowners from major damage, but also contribute to a more responsible use of the scarce resource water.

The thesis aims to optimise and standardise the measurements of the sensors we use in order to ensure consistent measurement quality. The exact topic will be defined in consultation with you and your university.

Our and your challenges:

  • Analysing and evaluating the existing sensor firmware and recorded data
  • Defining a standardized test set to evaluate measurements and detection
  • Implementing the test set
  • Optimising the existing approach and increasing reliability and accuracy
  • Assessment and evaluation of the test set – limitations, exceptions, and constraints

What you bring to the table:

  • You are studying Information Technology, Electrical Engineering, Embedded Systems
    Engineering or alike
  • Experience with embedded systems and embedded development
  • Python skills
  • Reliability, motivation, and commitment

What you can expect from us:

  • Challenging and exciting work atmosphere of a startup / small team
  • Flexible working hours. Location of your choice. If you work in our office or remote
    from home is up to you
  • Possibility of permanent employment later on

We have sparked your interest? Then get in touch with us via Send us your CV or simply some information about yourself and we schedule a videocall to get to know each other.