At the FBK, students have the opportunity to work on tasks in the fields of production technology and production systems. The specific tasks are derived from the research fields of the FBK.

All assignments can also be viewed on the digital notice board in buildings 74 and 57 in the FBK areas.

Alternative work plans through multi-label classification in graph-based deep learning

Potential analysis of quantum machine learning in production

Cooperation project: Investigations on the influence of modeling on the optimization of production systems

Explainability of graph-based deep learning for work planning

Control of a decentralized energy supply system with reinforcement learning

Comparison of vision transformers and transfer learning on CNN for component classification

Image data synthesis from CAD data with a controllable parameter set

Comparison of attribution masks in transfer learning for the classification of component variants

Visualization of features using the example of the learning process of counting gear teeth using CNNs

Optimization of 6G NiN subnetworks for application in industrial plants

Machine learning in machining

Development of a simulation model of laser deposition welding (DED-LB)

Integration of machine learning in additive manufacturing

Development of a production demonstrator

Use of LLMs to customise machine control code

Investigation of 6G positioning technology for industrial metaverses

Unfortunately, there are currently no tenders in the area of sustainability in production.

FE-based analysis of the rotor deformations of an air bearing spindle under different loads

Development of a micro drill geometry

FE-based simulation of chip and burr formation during micro-drilling

Characterization of the influence of cryogenic cooling strategies on the process-induced residual stresses and distortion of aluminum

Analysis of the additive-subtractive process chain for functionally graded materials (FGMs)