Welcome to Hahn-Schickard: The research center for innovative microsystems technology. With a team of over 300 employees, we transform ideas into cross-industry solutions - from conception to production at three locations in Baden-Württemberg. At our Freiburg site, the emphasis is on developing analytical solutions in microsystems technology, particularly for point-of-care diagnostics.
At the Freiburg site, the focus is on analytical solutions, especially for point-of-care diagnostics. But we also research, develop and manufacture electrochemical energy systems, autonomous fluidic robots and 3D printing of electronics.
For our Laboratory Automation division, we offer at Freiburg im Breisgau the following position (beginning from October 2026 or later):
Research Student Assistant / Master Thesis (m/f/x)
AI-assisted Intelligent Process Optimization of 3D metal printing
Your Tasks
You will be part of a team working on multi-material 3D printing platform for microfluidic and microelectronics applications.
- Working with in-house built multi-material 3D printing platform that includes FFF polymer extruder and molten metal printhead (StarJet)
- Learn the operating principle of the StarJet molten metal printhead and its droplet generation process
- Improve and extend the existing optimization framework for flexible and autonomous process optimization
- Perform long-term stability studies of the StarJet printhead and analyse process drift
- Using AI / machine learning or optimization algorithm to automate the complex printing parameter optimizaiton
- Characterize printed samples (droplet geometry, line quality, dimensional accuracy, adhesion, electrical performance)
- Evaluate and visualize experimental data using Python and machine learning tools
Your profile
- University degree (or currently enrolled) in Microsystems Engineering, Mechanical Engineering, Computer Science, Robotics, Mechatronics, Data Science, or a related field
- Programming experience in Python
- Interest in machine learning, Bayesian Optimization, or data-driven process optimization
- Basic knowledge of statistics or optimization methods is advantageous
- Curiosity to work with experimental hardware and automation, eager to learn new methodologies and theories.
- Capable of navigating the ambiguity and challenges of interdisciplinary research.
- Good communication skills in English and/or German
Our offer to you
- Opportunity to work on cutting-edge research in intelligent multi-material additive manufacturing
- An attractive workplace for a student working at a modern, excellently equipped research institute that is close to industry
- Excellent support for you working in a dynamic, flexible team
- Flexible working hours
- Partial refund of travel expenses when using public transport of the ÖPNV (public transport system)
- Health and lifestyle: Participation in first-class health programs such as Hansefit
- Subsidy for meals
Your Application
- If you are interested, please send us your complete application documents (motivation letter/resume+CV/certificates/transcript of records), stating the reference number 26/3610/36 in a complete PDF document file and name the job portal details you may need.
- Dr. Zhe Shu, by phone +49 761 203-54057 or e-Mail Zhe.Shu@hahn-schickard.de will be pleased to answer any questions you may have.
- The decision is made directly by the division.
- Please have patience - your personal application process will take some time.
Ihre Ansprechpartnerin
Frau Antigoni Zouridaki
Kontakt
Hahn-Schickard gGmbH
Georges-Köhler-Allee 304
79110 Freiburg im Breisgau
Personal-FR@Hahn-Schickard.de
0761 203 73200