Apply by e-mail for a scientific paper or a job with us. Briefly describe why you are interested in the work and what knowledge you have for it. Attach your current transcript of records if you have it to hand.
Sensorisation of an electromagnetic actuator module
The PhoenixD Cluster of Excellence is researching new technologies for manufacturing precision optics. Conventional guidance systems reach their limits when it comes to the precision required. We are therefore developing an innovative electromagnetic precision axis for fine positioning and compensation of trajectory errors. Your task is to design a module unit for combining the sensor and actuator systems, taking thermal and mechanical influences into account.
You will support us with:
- Calculation of the positioning force of the reluctance actuator
- Simulation of electromagnetic behaviour
- Determination of actuator geometry
Ideally you have:
- Interest in mechatronic systems
- Experience working with FEM software (for example, Ansys)
- Affinity for constructive design
Your contact person
Design and simulation of a reluctance actuator for fine positioning
The PhoenixD Cluster of Excellence is researching new technologies for manufacturing precision optics. Conventional guidance systems reach their limits when it comes to the precision required. We are therefore developing an innovative electromagnetic precision axis for fine positioning and compensation of trajectory errors. Your task is to design the reluctance actuators, taking into account the installation space geometry and electrical safety.
You will support us with:
- Calculation of the positioning force of the reluctance actuator
- Simulation of electromagnetic behavior
- Determination of actuator geometry
Ideally you have:
- Interest in mechatronic systems
- Experience working with FEM software (for example, Ansys Maxwell or FEMM)
- Knowledge of electromagnetic fields (for example, from the lecture on electrical engineering 2)
Your contact person
Automated reconstruction of optical tool geometry data into 3D models
Your thesis aims to develop and evaluate an automated process chain for converting optically acquired point clouds of tool geometries into usable 3D models. You will focus on data processing, surface reconstruction, and validation.
You will support us with:
- Automated processing of optical 3D point clouds
- Implementation of reconstruction algorithms
- Comparison of surface reconstruction methods
- Validation using reference measurements
Ideally you have:
- Strong interest in manufacturing and automation technology
- Programming skills (for example Python or C#)
- Basic knowledge of CAD or 3D data processing
Your contact person
Comparison of optical measurement methods for tool geometry acquisition
Your thesis focuses on the experimental comparison of two optical measurement systems for automated acquisition of used tool geometries. You will evaluate their measurement accuracy, repeatability, and practical applicability using systematic experiments and reference measurements.
You will support us with:
- Optical measurements of tool geometries
- Comparison of different optical measurement systems
- Analysis of accuracy and repeatability
- Evaluation and documentation of results
Ideally you have:
- Interest in manufacturing and measurement technology
- Basic experience with CAD or metrology
- Independent and structured way of working
Your contact person
Process monitoring for machine guides
Linear guides are a key component in machine tools. They have a significant influence on the accuracy of the machine. Sensorisation of linear guides enables the load to be measured without changing the rigidity and design of the machine axes. Knowledge of the spatially and temporally resolved change in load provides the basis for monitoring machine accuracy.
You will support us with:
- Conducting tests to measure the smooth running of sensorised linear roller guides
- Evaluating the test results and comparing them with the measured loads
Ideally you have:
- Interest in manufacturing technology and the machines used
- Independent and structured way of working
Your contact person
Image-based AI, robotics, mechatronics or electrical engineering
Are you studying mechanical engineering, mechatronics, electrical engineering, computer science or something similar? Support us in projects related to artificial intelligence (AI), algorithms, programming, robotics and mechatronic systems. Apply now and we will introduce you to all open tasks and topics.
You will support us in areas such as:
- Programming computer vision applications
- Creating and training AI models
- Developing algorithms and programmes for process monitoring
- Developing electronic components and control systems
- Programming robots
- Design work for machine components
Ideally you have:
- Experience in at least one of the above areas
- A high willingness to learn and motivation to familiarise yourself with new tasks
- An independent way of working and the ability to drive your own projects forward
Your contact person
Development of intelligent machine components
Would you like to put your know-how into practice and research innovative technologies? Become part of our team and work on these exciting projects, for example: Handle-free guidance, force machine or preload adaptation for ball screw drives. In these projects, you will work with us to develop intelligent machine components - from design and simulation to testing on the test benches and machine tools in our institute's test field. You will gain practical insights into all areas of the engineering profession and have the opportunity to drive forward tomorrow's technologies today.
You will support us with:
- designing and laying out machine components
- sensorisation and experimental characterisation of machine components
- FEM simulation of various components
Your contact person
Apply to us anyway. We realise a large number of projects and are constantly working on new production technology topics. We will find the right job for you through personal dialogue.