Master Thesis - Investigation of occupancy estimation techniques in office buildings

Forschungszentrum Jülich; Jülich; Hybrid; EUR 11.160 - 16.740; Vollzeit

Benefits dieser Stelle

Flexible working hours

Fair remuneration

Supportive onboarding process

Zusammenfassung

Forschungszentrum Jülich is offering a master's thesis position in Energy Systems Engineering, focusing on IoT and occupancy detection. You will contribute to developing models for optimizing multi-energy systems in a Living Lab setting.

Key responsibilities include sensor configuration and data analysis. Candidates should be pursuing a master's in computer science or engineering with strong Python skills. Flexible working hours and fair remuneration are offered.

Qualifikationen

• Ongoing master's degree studies in a relevant field.
• Good knowledge of programming in Python.
• Familiarity with data processing in Python.
• Proficient in using Git for version control.

Aufgaben

• Familiarize yourself with available data and relevant processes.
• Install and configure occupancy detection sensors.
• Setup plans for testing occupancy estimation approaches.
• Analyze characteristics of various approaches.
• Develop a framework for real-time occupancy estimation.

Kenntnisse

Python programming

Data processing in Python

Git version control

Analytical skills

Teamwork

Communication skills

Ausbildung

Ongoing master's degree in computer science, engineering, or related field

Jobbeschreibung

At the Institute of Climate and Energy Systems - Energy Systems Engineering (ICE-1), we develop advanced models and algorithms for the simulation and optimization of integrated multi-energy systems. Within the Living Lab Energy Campus (LLEC) project, large office buildings are equipped with many IoT devices, typically 5-10 devices per office room. These devices transmit real-time data such as the opening state of windows, doors as well as room air quality and luminance measurements to a cloud infrastructure. Additionally, through a user-facing energy dashboard with a desk booking system, building occupants can interact bidirectionally with the building systems. These occupant‑building interactions are the basis for several avenues of research including the intelligent operation of heating and shading systems. As part of our team, you will contribute to widening the scope of devices and the associated insights and efficiency improvements we can gain from such instrumentation, and applying such insights to the real world in a living‑lab setting.

Your Job

• Familiarize yourself with available data, infrastructure, relevant physical processes and requisite background knowledge (in occupancy estimation techniques)
• Install and configure available occupancy detection sensors (e.g. PIR sensors, PQI meters, infrared camera, etc.)
• Setup of suitable experimental plan for testing occupancy estimation approaches
• Analysis of characteristics of the various approaches in terms of ease of setup, cost, data quality, suitability for different end‑uses, etc.
• Analysis of combinations of approaches in terms of detection accuracy and reliability
• Develop a framework for real‑time and retrospective occupancy estimation

Your Profile

• Ongoing masters degree studies in computer science, engineering, or other closely related field
• Good knowledge of programming in Python
• Familiarity with data processing in Python
• Proficient in using Git for version control of software
• Good analytical skills, initiative, and self‑motivation
• Good command of the English language
• Excellent teamwork and communication skills

Our Benefits for You

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:

• Meaningful Tasks: Your thesis deals with a future‑oriented, socially relevant topic with direct practical relevance in an international environment
• Practical relevance: Hands‑on as well as theoretical work in a Living Lab setup with existing tools and supporting frameworks.
• Scientific environment: You can expect excellent scientific equipment, modern technologies, and qualified support from experienced colleagues
• Personal responsibility: You organize your tasks independently—from preparation to implementation
• Onboarding & teamwork: You can look forward to working in a dedicated, international, and collegial team. It is important to us that you quickly settle into the team and are given structured training for your tasks. We also support you from the very beginning and make your start easier with our Welcome Days and Welcome Guide
• Work‑life balance: We offer flexible working hours to help you balance your professional and personal life. You also have the option of flexible working (in terms of location), which is generally possible after consultation and in line with upcoming tasks and (on‑site) appointments
• Flexibility: Flexible working hours make it easier for you to balance work and study
• Fair remuneration: We will pay you a reasonable remuneration for your thesis

We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.

Place of Employment: Jülich

Start Date: To the next possible date

Salary: We will pay you an appropriate remuneration for your thesis

Application Deadline: The position will be published until it is successfully filled.