The DLR Institute of Software Technology sees software as a catalyst for research and innovation. As experts in software, we research and develop cutting-edge solutions in all application areas of DLR.
Our areas of competence include reliable and safety-critical software systems, artificial intelligence, high-performance computing and quantum computing, human-system interaction and visualisation, software and systems engineering as well as digital platforms and digital twins.
The institute’s staff of currently around 200 employees is already contributing to tomorrow's innovations in aviation, aerospace, energy, transport and safety through their research and development of state-of-the-art software solutions.
Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our 11,000 employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge? Then this is your place!
Job Description
Req ID: 717
Place of work: Braunschweig
Starting date: 19.02.2025
Career level: Student research project and final thesis
Type of employment: Full-time, Part time
Duration of contract: bis zu 6 Monate
Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund)
What to expect
Concurrent Engineering (CE) allows different disciplines—structural design, avionics, software—to work in parallel, making collaboration essential. Engineers must balance trade-offs, ensure smooth integration, and communicate effectively. Large Language Models (LLMs) can support this process by analyzing discussions, refining documentation, and assisting with decision-making. Our Modeling and Simulation group is developing a system that combines Speech-to-Text (STT) and LLM technologies to capture and process technical discussions in Concurrent Engineering Facilities (CEFs)
Your tasks
Your master’s thesis will focus on:
1. Literature Review – Investigate how well STT models perform in technical environments, particularly in aerospace. Analyze their handling of technical jargon, common errors, and correction methods. Explore how LLMs and domain-specific dictionaries can improve accuracy.
2. Implementation – Develop a small-scale demonstration to test an STT model in a simulated technical discussion. Evaluate its performance, identify limitations, and integrate LLM-based correction mechanisms to enhance transcription quality.
Your profile
We offer
DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.
We look forward to getting to know you!
If you have any questions about this position (Vacancy-ID 717) please contact:
Andreas Gerndt
Tel.: +49 531 295 2782
Academic Europe, the European career network for Academics, Researchers and Scientists
