Master/Bachelor thesis Computer vision for automated analysis of electrical plans

Master/Bachelor thesis in Computer Vision for Automated Analysis of Electrical Plans

Job Description

Req ID: 1211
Place of work: Sankt Augustin
Starting date: sofort
Career level: Student research project and final thesis
Type of employment: Part time
Duration of contract: sechs Monate

Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund)

Join the German Aerospace Center (DLR) and contribute to shaping the future through research and innovation. We offer an inspiring environment with over 11,000 employees from 100 nations, working on sustainable technologies to address global challenges.

Vacancy Details

• Vacancy-ID: 1211
• Place of work: Sankt Augustin
• Starting date: sofort
• Career level: Student research project and final thesis
• Type of employment: Part time
• Duration of contract: sechs Monate
• Remuneration: In accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund)

The Institute for the Protection of Terrestrial Infrastructures aims to ensure society's resilient supply. Digital twins facilitate monitoring, crisis response, and analysis of infrastructure resilience.

What You Can Expect

The creation of digital twins involves complex, costly manual modeling. Automating this process using AI methods to convert electrical plans and data sheets into structured digital formats is the goal.

Your Tasks

• Familiarization and literature research on image-to-graph methods and digitization of technical plans
• Creation and processing of (synthetic) datasets for plan detection
• Implementation and training of deep learning algorithms to extract information from electrical diagrams
• Comparison of transformer models with conventional deep learning frameworks
• Scientific analysis and presentation of research results

Minimum Qualifications

• Enrolled in computer science, mechatronics, electrical engineering, or a related field
• Willingness to learn complex topics
• Basic knowledge in machine learning
• Proficiency in Python programming
• Ability to work independently and in teams
• Knowledge of deep learning, ideally in computer vision
• Experience with Python libraries such as PyTorch, OpenCV

We Offer

DLR values diversity, appreciation, and equality. We support independent work and personal development through training opportunities. We encourage women in science and management and give preference to qualified applicants with disabilities.

We look forward to your application!

For questions about this position (Vacancy-ID 1211), contact:

Tobias Koch
Tel.: +49 2241 20148 55