Smart Chainsaw and Machine Learning

Location: remote / Roding (Bavaria)


You are excited about applying cutting-edge research in a practical context?

You want to help make the forest industry fit for the digital age?

Then this is the opportunity for you!

Your Topic: Machine Learning in a Chainsaw’s Digital Twin

Your internship or thesis revolves around STIHL’s flagship chainsaw MS500i, equipped with additional sensors to measure engine parameters and its motion in 3D-space. In addition, this chainsaw has Bluetooth connections to interface with other actors in the harvesting chain in near-real-time.

You will develop machine learning models to infer actionable information from the sensor data. This will involve the following steps:

  • prepare chainsaw sensor data from a real wood harvesting operation for analysis;
  • train machine learning models to infer the workers’ actions and the locations of cut timber sections from the sensor data;
  • validate your models using UAV and other data;
  • provide guidance on how to deploy these machine learning models to resource-limited devices in the forest.

You can rely on our expertise and experience in forestry, geographic information systems, machine learning, and so on. A mentor will be ready to support you anytime.

If you …

  • are enrolled in a scientific or technical master’s degree program;
  • are fluent in at least one programming language and keen to work with Python;
  • have taken a course in machine learning;
  • know the basics of coordinate transformations in three dimensions;
  • have applied numerical analysis techniques to solve problems during your studies;
  • are a self-starter and excited to learn;

… we offer you:

  • work in a young, dynamic company;
  • personal freedom and self-determined working hours;
  • space for creativity in solving technical issues;
  • opportunities to get to know project partners such as STIHL, RWTH Aachen’s Institute for Man-Machine Interaction, the Bavarian State Forests, and others;
  • the chance to continue with a permanent job with impact in the forestry and environmental sector.

iFOS and Smart Forestry

iFOS GmbH is an internationally operating industry-related research, engineering and advisory company in the field of forestry. We cooperate closely with renowned partners in German and European forestry such as equipment manufacturers, universities, state forests and wood manufacturers.

You will contribute to the Smart Forestry project funded by the German Agency for Renewable Resources (FNR). The goal of this research project is to develop cross-cluster approaches for intelligent, fully-integrated forest harvesting based on Forestry 4.0 principles. We cross-link all actors along the wood harvesting network with digital twins. These freely configurable networks enable all actors to communicate more effectively and on equal terms. The aim is to improve control, valuation and optimization of the forest harvesting process for everyone involved and enables integration with related processes.

Are you excited to transform forestry?

  • Then prepare your CV and point out how you match the requirements listed above,
  • e-mail your application documents to lukas.schreiber[[at]]
  • and we will get back to you within a week to schedule an interview.

We are looking forward to hear from you!