Job Description

The Fraunhofer Institute for Solar Energy Systems ISE in Freiburg is the largest solar research institute in Europe. Our approximately 1300 employees work towards a sustainable, economical, safe and socially just energy supply system based on renewable energies. We contribute to this with our research focus on energy supply, energy distribution, energy storage and energy use. Through outstanding research results, successful industrial projects, company spin-offs and global cooperation, we are shaping the sustainable transformation of the energy system.

Be part of change

In the „Cognitive Buildings” group, we work on digitizing building data and making it usable for automated applications and optimizations. To this end, we have developed a web app that uses an AI-based pipeline (computer vision, LLMs) to convert images of schematics of technical building systems into digital models. The results can then be visualized, further edited, and exported.

In the background, the digitized system models are represented as a knowledge graph based on Semantic Web ontologies, making them usable for further processes. As part of current research projects, the app will now be further developed for additional use cases (e.g., technical monitoring) and linked to corresponding automations based on LLMs.

To support our „Cognitive Buildings” group, we are looking for a student assistant to start as soon as possible for the following tasks:

• Further development of a Django web app for digital schematics of building services systems (front and back end).
• Implementation of new functionalities, as well as bug fixes and smaller features.
• Integration of asynchronous processing workflows (e.g., external AI pipelines) via appropriate interfaces (Celery, FastAPI, …).
• Contribution to the development and implementation of LLM-based pipelines for the automated digitization and processing of building data.

What you contribute

• You are studying computer science or a degree program with a comparable technical focus.
• You have very good programming skills (Python, …).
• You have advanced knowledge in web development (Django, JavaScript & frameworks, …).
• Ideally, you already have knowledge in the area of Semantic Web ontologies and/or in developing automations based on LLMs.
• You plan and complete tasks independently and to a high standard of quality.
• It is important to you to contribute to your team and achieve goals together.
• You have basic German skills (at least B1) and good English skills.

What we offer

• Exclusive insight: By working together with the scientists in our department, you will gain insights into the day-to-day research anddevelopment work at a research institute.
• Research mix: You will have the opportunity to combine experimental work with theory, thus applying and expanding the knowledge yougained during your studies.
• Supervision You will be supervised by scientists during your work and receive feedback on your progress.
• Teamwork: You will gain experience in working in a team with our scientific and student staff and can contribute the experience you havealready gained.
• Working hours and location: We offer you the opportunity to flexibly adjust your working hours to your needs and to occasionally work fromhome.
• Equal opportunities: We value equal opportunities and embrace diversity.
• After work: Celebrate yourself and your colleagues at after-work events or our annual employee parties.

Remuneration is based on your degree. The monthly working hours should be 60-80 hours.

We value and promote the diversity of our employees' skills and therefore welcome all applications – regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability.

Ready for a change? Then apply now with your complete application documents (including resume, cover letter, references/transcripts) and make a difference! Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.

Questions about this position will be answered by:

Simon Gölzhäuser

E-Mail: simon.goelzhaeuser@ise.fraunhofer.de

Fraunhofer Institute for Solar Energy Systems ISE

www.ise.fraunhofer.de

Requisition Number: 83278