Working Student (all genders) AI & Data Engineering

The Fraunhofer-Gesellschaft is one of the worlds 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 requirementsessential 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!

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. in this role you will:

• Develop and maintain software components for AI and data-driven applications
• 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

• 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

• 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 20hours 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.

Then apply now and make the difference! (PDF: Cover Letter Resume Certificates).

Do you have questions about the application process Our recruiter Patricia Buchmann will be happy to assist you: Email: