Master Thesis

The department "Buildings and Districts" as part of the Institute of Energy and Climate Research - Energy Systems Engineering (IEK-10), pioneers low-carbon, energy-efficient, occupant-centric solutions for buildings and urban areas. We develop an advanced ICT platform and agent-based control approaches to manage decentralized energy sources. Testing is done in the "Living Lab Energy Campus (LLEC) Smart area" at Forschungszentrum Jülich. We also create user-friendly web dashboards and controller algorithms that consider user behavior and preferences. Overall, we focus on sustainable, user-centric energy solutions for buildings and districts. **Your Job**: Your role in this project involves contributing to the development of the cloud-based algorithm, which is summarized by the following work packages: - Familiarization: Gain understanding of the controller algorithm and the overall architecture of IoT devices, communication protocols, and systems within the project. - Algorithm Development: Using Python programming language to develop the algorithm and implement the controller in the cloud environment. - Testing and Release: Conduct through testing of the controller to ensure functionality and reliability before releasing it for operational use. **Your Profile**: - Master studies with good grades in computer engineering, computer science or related fields - Proficient programming skills in Python - Good experience with Docker software - Basic knowledge of IoT platforms and communication protocols - Basic knowledge of machine learning algorithms - Proficiency in GitLab for version control and collaboration on software development projects - Independent and goal-oriented way of working - Fluent in English (spoken and written) **Our Offer**: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change We support you in your work with: - Join a dynamic and motivated team at one of Europe's largest research institutions - Benefit from broad expertise in programming, data science, engineering, and cloud computing - Expand your skills in these specialized areas described above - Friendly and welcoming work environment - Ideal conditions for gaining practical experience alongside your studies Flexible working options, including location and working hours (by arrangement) The position is initially for a period of three months, with the possibility of extension.