Computer scientist or similar (f / m / x) - Development of Intelligent Human-Machine Interfaces[...]

Deutsches Zentrum für Luft- und Raumfahrt (DLR); Köln; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

A leading aerospace research institute is seeking a skilled developer to design adaptive AI-supported interfaces. You will work on machine learning models and contribute to innovative research in AI and user interaction. This role requires a Master's degree in a relevant field and strong programming skills, particularly in Python, with an emphasis on user-adaptive systems. Join a dynamic team focused on groundbreaking technology in a supportive work environment.

Qualifikationen

• Experience with user-adaptive interaction systems.
• Several years of experience in Python programming.
• Knowledge in user-modeling technologies.

Aufgaben

• Design and implement adaptive AI-supported interfaces.
• Develop and train ML models for dynamic user modeling.
• Integrate heterogeneous data sources for real-time analysis.
• Conduct usability studies to evaluate system effectiveness.
• Publish research results and present at international conferences.

Kenntnisse

User-adaptive interaction

Python programming

Machine Learning frameworks

Real-time data processing

AI interface design

Ausbildung

Master's degree in Computer Science, Mathematics, Physics, Engineering

Tools

TensorFlow

PyTorch

Jobbeschreibung

The DLR Institute of Software Technology sees software as a catalyst for research and innovation. The institute's staff, currently numbering around 200, makes a significant contribution to advancements in the fields of aviation, space, energy, transportation, and security through the development of state-of-the-art software solutions and innovative research.

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.

What to expect

The Intelligent and Distributed Systems department researches methods to make complex technical processes and systems, from software development to automated workflows and AI-assisted analysis, traceable, automatable, and interactively experimentally accessible.

For efficient, user-friendly, and context-sensitive interaction between humans and AI systems, you will develop intelligent User Interfaces that dynamically adapt information and feedback to diverse user needs and contexts. This includes, for example, the implementation of data-driven models that create dynamic user profiles based on sensor, behavioural, and contextual data as well as user inputs.

Development considers the challenges of heterogeneous data sources, real-time data processing, and scalability across various application scenarios. A particular focus lies on developing intelligent interfaces using novel technologies, such as Large Language Models (LLMs), interactive machine learning, and dialogue-based systems, that support complex decisions clearly and understandably and ensure meaningful user involvement.

Your tasks

• design and implementation of adaptive AI-supported interfaces for aerospace applications
• development and training of ML models for dynamic user modeling using TensorFlow / PyTorch and implementation of algorithms for continuous system adaptation
• integration of heterogeneous data sources and real-time analysis of sensor, behavioral, and contextual data to improve human-AI interaction
• support in conducting controlled usability studies to evaluate usability and system effectiveness
• publication of research results in scientific journals, presentation at international conferences, and transfer of developed technologies to industrial applications

You will work independently on the above tasks, coordinating with the other team members and the group leader. We give you the freedom and opportunity to pursue your ideas and drive forward new research topics. We offer a challenging working environment where family friendliness and your health are our top priorities.

Your profile

completed scientific university degree (Master's or equivalent) in Computer Science, Mathematics, Physics, Engineering Science, or in a related field

in-depth knowledge in developing and implementing systems with user-adaptive interaction and personalization

excellent programming skills and several years of experience in Python, as well as good knowledge and experience with advanced ML frameworks and libraries (e.g., TensorFlow, PyTorch)

knowledge in developing user-modeling technologies

experience in research project management or related

open to quickly learn new technologies

high level of self-initiative, creativity, and motivation for independent scientific work

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 2287) please contact :

Andreas Schreiber

Tel. : [phone]