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.

Benefits of Demand Forecasts Based on the Production Schedule for Reinforcement Learning-Based Control of Decentralized Energy Supply Systems

Use of OpenClaw for voice-controlled CNC machine operation

Design of hydrogen-based decentralized energy systems for production systems through the investigation of reinforcement learning-based control strategies

Development of a method for knowledge enrichment of AI methods for controlling CNC machines

Investigation of AI methods for NC code generation from natural language

Robust cell design in cellular manufacturing systems using adversarial reinforcement learning

Context-aware AR scene authoring for operator guidance and instruction for a CNC milling machine

Quantum annealing in material flow planning: Comparison and evaluation of different modeling and solution approaches

Comparison of small LLMs for voice user interfaces in machine control

Development and Optimization of Fixture Designs Using Reinforcement Learning

Modeling a reinforcement learning environment for the automated design of fixture structures

Mixed-reality-based operation of a CNC milling machine

Analysis of the Potential of Quantum Machine Learning in Manufacturing

Comparative analysis of quantum computing platforms for sequence planning

Resource-efficient RLAIF for domain adaptation of LLMs for VUIs

Life Cycle Assessment of an Additively Manufactured Tool

Development of a classification system for circular product-service systems

Analysis of the training needs of different types of employees in the manufacturing sector during the introduction of artificial intelligence

Life cycle assessment of additive-subtractive process chains in additive manufacturing

Energy data collection and life cycle assessment of hybrid process chains in additive manufacturing

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

Realization and evaluation of a constant tooth feed during micro-milling, taking into account speed-dependent concentricity deviations

Microstructuring by means of laser ablation

Hybrid process chains - milling as post-processing of additively manufactured components (3D-printed)

Influence of wear on the surface layer properties of cryogenically turned bearing steel

Investigation of the influence of low-temperature milling on additively manufactured AlSi10Mg components through internal cooling

Evaluation of additively manufactured AlSi10Mg components after post-processing by cryogenic machining