Working Student (all genders) - AI & Data Engineering

• Design and improve data pipelines, processing workflows, and data management solutions
• Support the preparation, organization, and quality assurance of datasets used for AI systems
• Contribute to the development of knowledge organization frameworks, including taxonomies, ontologies, and related data models where applicable
• Assist in AI model evaluation, experimentation, and deployment activities
• Collaborate within an Agile development environment using modern software engineering practices
• Create and maintain technical documentation to support development and knowledge sharing, * Organize your schedule: Benefit from flexible working hours that are perfectly compatible with your studies.
• Become part of a creative team: Experience an open and friendly working atmosphere in which your ideas are valued.
• Variety that inspires: Look forward to divers tasks that inspire and challenge you.
• Shape the future with us: Take part in application-oriented research and put your theoretical knowledge to practice.
• Innovation that inspires: Exciting and pioneering projects that make a real difference.

We will agree your start date and weekly working hours with you individually (as a working student 20 hours per week or for an internship at least three months) . You can reduce your hours before exams and increase them during semester breaks. You can set your working days flexibly. After your studies, there are attractive opportunities to join the institute on a full-time or part-time basis. You can flexibly determine the working days of your fixed-term employment contract.

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 people are given preference if they are equally qualified. Ready for change?

Do you have experience in Research?, * You are a motivated student pursuing a degree in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, or a related technical field

• Programming experience in Python and/or other modern programming languages
• Familiarity with software engineering best practices and version control systems
• Understanding of ML, gen-AI, or data-driven systems
• Experience working with datasets, data preparation, data quality, or data engineering concepts
• Interest in knowledge representation, semantic technologies, ontologies, or knowledge graphs
• Familiarity with Linux, Git, virtual environments, and containerization technologies

Pulled from the full job description

• Flexible schedule

The Fraunhofer-Gesellschaft is one of the world’s leading applied research organizations. 75 institutes develop cutting-edge technologies for our economy and society - more precisely: 32 000 people working in technology, science, administration and IT. They know: If you join Fraunhofer, then you are able to promote change. For themselves, for us and for the markets of today and tomorrow.

Welcome to the Fraunhofer Institute for Integrated Circuits IIS! As the largest institute of the Fraunhofer-Gesellschaft, Fraunhofer IIS has been conducting research for over 30 years on key technologies in the fields of artificial intelligence, microelectronics, sensor technology, and signal processing. At our Dresden location, we develop adaptive systems that intelligently adapt to their environment and requirements-essential for the industry, mobility, and communication of tomorrow.

You are interested in combining research and practices and would like to develop further in the field of AI & Data Engineering?

Then have a look at our offer! Here’s how you will make a difference

In the Application and System Engineering Group, we develop innovative software for Electronic Design Automation (EDA) and digitlization initivates within the institute. You will be contributing to the european pilot line for advanced packaging and heterogeneous integration APECS project. https://www.apecs.eu/ in this role, you will