Construction and commissioning of a macroscopic MEMS varactor demonstrator suitable for measurement

• Design and fabrication (e.g. as 3D printed model) of a varactor macro demonstrator, CAD design
• Realization of a macroscopic drive (e.g. by piezo, respectively stepper motors)
• Recording and visualization of the capacitance variation e.g. by color change or by tuning of a low frequency receive signal)

Contact:
christine.ruffert(at)b-tu.de

Improve existing fundamentals (literature research, documentation)

• Transfer Learning: Transfer a Machine Learning Model to a different application
• Federated Learning: Combine Machine Learning Models from different nodes, which train their individual model

Contact:
christine.ruffert(at)b-tu.de

• Design multi sensor measurement setups to determine the state of a machine for the workshop of FG Werkzeugmaschinen ” in Senftenberg
• Design multi sensor measurement setups to determine the state of mobile hand tools (Bachelor or Master)

Contact:
christine.ruffert(at)b-tu.de

• Additive manufacturing of structures with sub micron resolution
  • Microoptics
  • Microfluidics
  • On chip fabrication
  • Metamaterials
  • Topology optimization
     
• Pre and postprocessing
  • Structure design
    • CAD
    • DeScribe programming
  • Dispenser controlled resist application
  • UV flood polymerization
  • Critical point drying
  • Characterization
    • Scanning electron microscopy
    • Reflective light microscopy

Contact:
christine.ruffert(at)b-tu.de

• Preparatory literature research and application on industrial robots
• Design a hardware to control several ultrasound transducers to perform beam forming
• Implementing ultrasonic environment imaging, e.g. Beamforming, frequency-coded, etc.
• Integrate ultrasonic imaging in industrial robots
• Implement ultrasonic analysis methods, e.g. gas analysis, sugar concentrations, etc.

contact:
marcel.jongmanns(at)ipms.fraunhofer.de

• Implement measurement system for UV, visible, and IR light spectra
• Perform measurements using hyperspectral sensing, e.g. textile composition, degree of ripeness of fruits, etc.

contact:
 marcel.jongmanns(at)ipms.fraunhofer.de

• Machine Learning: Improve existing algorithms and implement new approaches for different tasks
• Electronics/IT: Design measurement systems, program embedded systems, implement data transfer to PC, and design user interfaces

contact:
 marcel.jongmanns(at)ipms.fraunhofer.de

Detection of radiation with energies below the Si band gap

• Electrical and optical characterization of photonic devices on-wafer
• Simulation of photonic devices with nanostructures
• Electrical simulation of photonic devices
• Photonic characterization by reflection measurements (e.g. FTIR)

Contact:
lion.augel(at)ipms.fraunhofer.de
leonor.shala(at)ipms.fraunhofer.de