We are excited to offer two PhD opportunities within the EU-funded SmartEM project. SmartEM aim is to use AI-assisted methods to create surrogate models from heterogeneous data sources. The two PhD positions are focused on innovating cost-effective and maintainable modeling for complex industrial systems using AI-assisted technology.
Your role will involve creating efficient and reusable surrogate models from diverse data sources. The aim is to improve the understanding and optimization of complex industrial systems, where the current common practice is to employ very complex simulations in the design process for tuning and evaluating different design parameters. Surrogate models are simple and efficient models that could in principle replace complex and heavy simulation models. Our goal is to develop and evaluate surrogate models in an industrial setting.
You will work towards the future of industrial process simulation by blending generative and symbolic AI techniques for developing and evaluating surrogate models. Your research will include:
- Developing generative methods to contextualize surrogate models.
- Applying symbolic reasoning to define and analyze system components and their interactions.
- Merging machine learning with symbolic AI to enhance system (performance) monitoring.
- Advancing adaptive surrogate modeling to maintain alignment with actual system changes.
You PhD work will take place within the
Interconnected Resource-aware Intelligent Systems (IRIS) cluster of the TU/e Department of Mathematics and Computer Science. Your project will be tailored to your research interests and will offer collaboration with industrial partners, providing a chance to test your models in real-world scenarios.
As a successful candidate, you will:
- Conduct high-impact scientific research on AI-Assisted Surrogate Modeling, ensuring practical validation of your findings in the SmartEM project.
- Contribute to publishing results at (international) conferences and journals.
- Collaborate with the other PhDs and researchers in this project.
- Collaborate with other groups and faculty members.
- Collaborate with selected SmartEM project partners, attend project meetings and contribute to deliverables and project outcome.
- Assist with educational tasks (e.g. support lab/course assignments and/or supervise (under)graduate/internships students).