Job
- Level
- Erfahren
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Praktikum / Schulpraktikum
- Ort
- Jülich
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Position entwickelst du eine Datenpipeline zur Extraktion und Verarbeitung von Merkmalen aus Gebäude-Stromverbrauchsdaten und implementierst Klassifikationsalgorithmen zur Aktivitätsanalyse.
Job Technologien
Deine Rolle im Team
- Design a data pipeline to extract and preprocess activity-relevant features from monitored building power consumption data.
- Develop a classification algorithm (e.g., based on Gaussian Processes or related probabilistic models) to infer user activity states from power signals.
- Validate and benchmark your method against alternative classifiers on real building datasets.
- Quantify and formalize uncertainty estimates to support reliable deployment in real-world building management systems.
Unsere Erwartungen an dich
Ausbildung
- Excellent university degree (Bachelor) in field of Data Science or a comparable field i.e. Electrical Engineering, Computer Science/Engineering, Physics.
Qualifikationen
- Strong mathematical background.
- Interest in energy systems, power grids and its components.
- Excellent ability for cooperative collaboration.
- Very good command of written and spoken English with extensive vocabulary is required (at least B2 level according to the CEFR), ideally supported by a certificate confirming the language level.
- Prior German knowledge is not strictly required.
Erfahrung
- Excellent knowledge and experience in programming Python.
- Excellent knowledge and experience in machine learning.
- Experience with git is welcome.
Unser Angebot
- 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: With us, you will gain valuable practical experience alongside your studies and actively participate in interdisciplinary projects.
- 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.
- 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.
- Campus experience: Our research campus in the countryside creates ideal conditions for collegial exchange and sporting activities right on site. Our cafeteria offers a wide range of options-you can enjoy a relaxing lunch break with a lake view.
- Fair remuneration: We will pay you a reasonable remuneration for your thesis.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Forschungszentrum Jülich GmbH
Forschungszentrum Jülich ist Mitglied der Helmholtz-Gesellschaft und trägt dazu bei, die wichtigsten gesellschaftlichen Herausforderungen in den Bereichen Information, Energie und Bioökonomie zu lösen.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Bildungswesen, Wissenschaft, Forschung
Master Thesis - Decoding Occupancy
- Ort
- Jülich
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
