Master Thesis - AI-Based Extraction & Load Estimation of Industrial and Commercial buildings in ...

Helmholtz Association of German Research Centres; Deutschland; Remote; EUR 40.000 - 60.000; Teilzeit

Zusammenfassung

A leading research institute in Germany is seeking a thesis candidate to work on innovative research using open-source geospatial data. Responsibilities include applying machine learning for classification and integrating findings into grid tools. A master's degree in a relevant field and programming skills in Python are essential. The role offers flexible working hours and a reasonable remuneration for your thesis.

Leistungen

Flexible working hours

100% home office option

Fair remuneration

Qualifikationen

• Very good performance in Master's studies.
• Solid programming skills in Python.
• Experience with geospatial data.

Aufgaben

• Research and extract buildings using geospatial data.
• Apply machine learning/AI for classification.
• Integrate findings into synthetic grid tool.

Kenntnisse

Programming skills in Python

Machine learning libraries (scikit-learn, TensorFlow, PyTorch)

Experience working with geospatial data

Communication in English (B2)

AI and energy systems modeling

Ausbildung

Master’s in Electrical Engineering, Computer Science, Geoinformatics, or related field

Tools

GIS (QGIS, GDAL)

Jobbeschreibung

Area of research

Diploma & Master Thesis

Job description

Your Job

• Research and extract industrial and commercial buildings across Germany using open‑source geospatial data (e.g. OpenStreetMap, CORINE Land Cover, Sentinel, etc).
• Apply machine learning/AI and/or statistical algorithms to classify building and land‑use types relevant to electrical consumption.
• Label and prepare training data for AI models; develop automated pipelines for classification.
• Integrate findings into the existing package synthetic grid tool for generating realistic medium‑voltage distribution grids.
• Collaborate with domain experts from energy modeling, geoinformatics, and data science.
• Prepare scientific documentation of your methodology and results.
• Contribute to writing scientific papers for internal reporting and possible publication.

Your Profile

Required Qualifications

• Very good performance in your Master’s studies in Electrical Engineering, Computer Science, Geoinformatics, Energy Systems, or related field.
• Solid programming skills in Python and familiarity with machine learning libraries (e.g. scikit‑learn, TensorFlow, PyTorch).
• Experience working with geospatial data (e.g. geopandas, rasterio, shapely).
• Interest in AI and energy systems modeling.
• Ability to communicate and document research results clearly in English (B2).

Desirable Qualifications

• GIS experience (QGIS, GDAL), basic understanding of distribution grid concepts and tools like PyPSA.
• Experience with academic writing or contributions to scientific papers.
• High level of independence, motivation, and a structured, reliable work approach.
• Good team skills and willingness to engage in interdisciplinary collaboration.

Please feel free to apply for the position even if you do not have all the required and desirable skills and knowledge.

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:

• 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.
• 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: go.fzj.de/welcome.
• WORK‑LIFE BALANCE: We offer flexible working hours, possible 100% home office, to help you balance your professional and personal life. You also have the option of flexible working (in terms of location).
• 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.
• FIXED-TERM: The position is initially for a fixed term of 6 months.

In addition to exciting tasks and a collegial working environment, we offer you much more: go.fzj.de/benefits.

Further information on the project is available at: www.fz-juelich.de/de/ice/ice-2/ice2-forschung/integrierte-infrastruktur/verteilnetze. 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.

The following links provide further information on diversity and equal opportunities: go.fzj.de/equality and on specific support options: go.fzj.de/womens-job-journey.

This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany’s largest scientific organisation.