Offers
PostDoc
If you are interested to join as a PostDoc, please send a brief letter of motivation to the respective contact person.
Postdoctoral Researcher – Acoustic Emission Analysis
For the Researchgroup Condition Monitoring at the Chair "Hybrid Materials" with the Professorship "Mechanical Engineering" at the University of Augsburg, we are looking for a Scientific Associate (m/f/d) - Post-Doc with a focus on Acoustic Emission Analysis.
Our research mainly involves the use of sensor data for process monitoring and structural health monitoring. An important method for this is acoustic emission analysis, which should fall under your responsibility. Your research should enable the development of new concepts for the manufacturing, approval, and monitoring of pressure vessels in the field of hydrogen driven mobility. This gives you the opportunity to contribute to achieving climate and sustainability goals. Furthermore, you have the opportunity to independently explore new research fields and topics.
If you are interested in this position, please contact us by phone or email or send your application directly to the contact persons.
- Phone: +49 821 598-69142
Email: matthias.merzkirch@uni-auni-a.de ()
- Phone: +49 821 598 - 69161
Email: markus.sause@mrm.uni-augsburgmrm.uni-augsburg.de ()
Doctoral Theses
If you are interested to join as a doctoral candidate, please send a brief letter of motivation to the respective contact person
Doctoral Researcher (m/f/d) – Model-based non-destructive testing of foundry cores
We are looking for a Doctoral Researcher (m/f/d) – Model-based non-destructive testing of foundry cores to join the team at the assistant Professorship Data-driven Materials processing at the University of Augsburg.
Sand cores are used in foundry technology to form non-removable geometries. In large-scale production, cores are increasingly produced with innovative inorganic substances due to lower environmentally harmful emissions. At present, however, there is still no process suitable for series production to detect and localize defects in the cores.
Your research mainly involves combining virtual models and experimental data. To this end, you will set up a test stand for non-destructive testing of the sand cores. With the help of a simulation model, the measurement data can be evaluated and defects in the core can be localized.
If you are interested in joining our team, please contact us by phone or email.
- Phone: + 49 821 598 - 69413
Email: philipp.lechner@uni-auni-a.de ()
Doctoral Researcher (m/f/d) – Process monitoring for intelligent manufacturing processes
We are looking for a Doctoral Researcher (m/f/d) – Process monitoring for intelligent manufacturing processes to join the team of Mechanical Engineering in the research group Condition Monitoring at the University of Augsburg.
Your research mainly involves the use of sensor data for process monitoring of a complex production chain. The focus of your work is mainly on monitoring innovative injection molding processes. Therefore, you will use various sensor technologies for example acoustic sensors or transducers. In addition to the sensory data acquisition, you will also ensure that the data is further processed in the diagnosis and prognosis systems developed by you, including AI-based systems. Your research will not remain a theoretical concept, but will be implemented directly in the university's own research factory of the
AI Production Network or within the framework of an interdisciplinary Bavarian research network. In this way, you can make your contribution to digitalization and resource efficiency in production.
If you are interested in this position, please contact us by phone or email or send your application directly to the contact persons.
- Phone: +49 821 598-69142
Email: matthias.merzkirch@uni-auni-a.de ()
- Phone: +49 821 598 - 69161
Email: markus.sause@mrm.uni-augsburgmrm.uni-augsburg.de ()
Master Theses
If you are interested, please contact the respective research associate by e-mail
Experimental Studies on Acoustic Emission Sensor Verification
This master's thesis project aims to investigate the feasibility of predicting the calibration responses of AE sensors using a simpler setup involving a Laser Doppler Vibrometer. The goal is to create a predictive model that can assess the quality of sensors based on a more accessible and cost-effective verification procedure.
More information can be found in the hyperlinked pdf:
Experimental Studies on Acoustic Emission Sensor Verification
- Phone: +49 821 598 - 69390
Email: adelmo.fernandes@uni-auni-a.de ()
Designing and developing a smart sensor for process and condition monitoring
For real-time monitoring, which is a central topic in the working group “condition monitoring” and is already being implemented through the use of ultrasonic sensor, a smart sensor is now to be developed. For this purpose, this work aims to form a basis by enhancing a commercially available sensor of lower frequency with a microcontroller / single-board computer in such way, that it is able to collect, process and forward the data to a central computer via a suitable communication interface. The comparison of the developed sensor with a corresponding commercial system should round off the work.
More information can be found in the hyperlinked pdf:
Designing and developing a smart sensor for process and condition monitoring
- Phone: +49 821 598 - 69187
Email: quy.luong@mrm.uni-augsburgmrm.uni-augsburg.de ()
Recycling of silicate foundry sands and binders
This thesis aims at developing a process that takes advantage of the solubility of the sodium silicate binder to wash it at elevated temperatures after the casting process, using only water without additional chemicals. The washing process produces wastewater containing dissolved foundry binder and other impurities. The second goal is to recycle this water so it can be processed into a binder and does not have to be disposed of, thereby closing the material cycle for both binder and sand.
More information can be found in the hyperlinked pdf:
Recycling of silicate foundry sands and binders
- Phone: + 49 821 598 - 69413
Email: philipp.lechner@uni-auni-a.de ()
Development of a glass mold for observing molten metal
This thesis aims at developing a test mold that allows the mold filling to be observed through glass panels. This is recorded by cameras and used to validate foundry simulations. Therefore, the most challenging casting geometries possible are to be implemented, which push the existing simulation models to their limits.
More information can be found in the hyperlinked pdf:
Development of a glass mold for observing molten metal
- Phone: + 49 821 598 - 69413
Email: philipp.lechner@uni-auni-a.de ()
Simulation of Friction Stir Welding
The aim of the work is to set up a finite element model in Abaqus that calculates the temperature and the formation of residual stresses during friction stir welding.
More information can be found in the hyperlinked pdf:
Simulation of Friction Stir Welding
- Phone: + 49 821 598 - 69413
Email: philipp.lechner@uni-auni-a.de ()
Bachelor Theses
If you are interested, please contact the respective research associate by e-mail
Fabrication, analysis and characterization of metal-polymer filaments for FDM 3D printing
The objective is to use additive manufacturing to find a high-performance alternative to SMC coil cores in electric motors. To this end, a thermoplastic that meets the requirements must be found. This will then be used to produce the ferrite thermoplastic filament, which will subsequently be characterized and tested for its process suitability.
More information can be found in the hyperlinked pdf:
Fabrication, analysis and characterization of metal-polymer filaments for FDM 3D printing
- Phone: +49 821 598 - 69179
Email: frederik.siegmund@mrm.uni-augsburgmrm.uni-augsburg.de ()
Recycling of silicate foundry sands and binders
This thesis aims at developing a process that takes advantage of the solubility of the sodium silicate binder to wash it at elevated temperatures after the casting process, using only water without additional chemicals. The washing process produces wastewater containing dissolved foundry binder and other impurities. The second goal is to recycle this water so it can be processed into a binder and does not have to be disposed of, thereby closing the material cycle for both binder and sand.
More information can be found in the hyperlinked pdf:
Recycling of silicate foundry sands and binders
- Phone: + 49 821 598 - 69413
Email: philipp.lechner@uni-auni-a.de ()
Development of a glass mold for observing molten metal
This thesis aims at developing a test mold that allows the mold filling to be observed through glass panels. This is recorded by cameras and used to validate foundry simulations. Therefore, the most challenging casting geometries possible are to be implemented, which push the existing simulation models to their limits.
More information can be found in the hyperlinked pdf:
Development of a glass mold for observing molten metal
- Phone: + 49 821 598 - 69413
Email: philipp.lechner@uni-auni-a.de ()
Simulation of Friction Stir Welding
The aim of the work is to set up a finite element model in Abaqus that calculates the temperature and the formation of residual stresses during friction stir welding.
More information can be found in the hyperlinked pdf:
Simulation of Friction Stir Welding
- Phone: + 49 821 598 - 69413
Email: philipp.lechner@uni-auni-a.de ()
Working in the lab
We regularly offer opportunities to work in the laboratory (HiWi jobs). If you are interested in working with us, please send a short email with a letter of motivation directly to the respective scientific assistant.
Research assistant job for start-up project "sensAI"
In the sensAI research project, a concept for non-destructive material characterization is being developed and tested. This system is intended to play a key role in quality assurance in the processing of recycled plastics. To help with this, we are looking for a scientific assistant for the preparation of sample material, laboratory tests and data management from 01/2025 on.
More information can be found in the hyperlinked pdf:
Research assistant job for start-up project "sensAI"
- Phone: +49 821 598 - 69166
Email: florian.linscheid@mrm.uni-augsburgmrm.uni-augsburg.de ()