REDI is a unique PhD training program offering industry-supported positions with excellent salaries, enviable international experiences including a residential year in Melbourne, Australia and annual workshop weeks in Barcelona, Spain, top-class training as well as networking with academic and industry leaders across 60+ supporting partners.
REDI is looking for one Researcher (with less than 4 years of research experience and not in the possession of a Doctoral Degree yet), who will be closely working with both RMIT University (Australia) and TUHH (Germany) on one of the following research projects:
Project 1: Federated Learning Framework for AM
The aim of this project is to use AI methods to correlate input (machine data, materials, part geometries etc.) with output (mechanical properties, geometrical accuracy etc.) along the process chain of an AM process. Expert knowledge shall be integrated in a hybrid AI approach that combines multi-agent systems and federated learning to enable researchers from different institutions to train the AI. This position shall define specifically the framework for the federated learning approach.
Project 2: AM process simulation for AI training data
Artificial intelligence is able to predict AM part performance from input parameters such as material and machine set-up, once sufficiently trained. However, AI relies on big data sets to produce valid results, which can often not be realised in experiments due to high costs and time efforts. The goal of this project is to set up simulation for selected AM process steps in order to simulate training data for the AI.
Project 3: Materials model for AM processes
Metals undergo a complex process chain in Additive Manufacturing, involving phase changes as well as different temperature cycles in the solid state. This results in a complex process – microstructure – property relationship, that needs to be understood along the whole process chain. The goal of this project is to set up a material model for a selected metal alloy that covers all phases and conditions experienced along the process chain, and that can be used in subsequent simulations to predict part properties.
Research Fields: Advanced manufacturing and mechatronics, Artificial intelligence and Machine learning
The Researcher will be supervised by Prof. Claus Emmelmann, Dr. Ing. Dirk Herzog (TUHH) and Dr. Andrey Molotnikov, Distinguished Prof. Milan Brandt (RMIT).
The remuneration, in line with the European Commission rules for Marie Skłodowska-Curie grant holders, will consist of a gross annual salary of around 35.000 EUR gross per year. Of this amount, it is very hard to give the exact net salary to be perceived by the Researcher as it is subject to national tax legislation and will depend on the personal situation and choices of the candidate, but it would be approximately EUR 1,950.
- 30 working days off per year.
- Paid sick days up to 6 weeks per year.
- Citizens of foreign countries who live and work in Germany and have a settlement permit or a
- residence permit can apply for parental benefit (Elterngeld) after the birth of their child.
- 1,000€ yearly travel allowance to cover flights and accommodation to participate in the annual
- workshop at RMIT Europe in Barcelona (Spain).
- 10,000€ allowance to cover flights and living expenses for up to 12 months in Australia.
For more details, please see the Hamburg University of Technology website.