Chalmers seeks a PhD student to be part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and applied mechanics
Project description
This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and applied mechanics. The focus of this position is on extracting information about what a neural network has learnt in a symbolic and (human) interpretable format. This will allow combinations of neural networks with physics models.
The project brings together PhD students and senior researchers from multiple disciplines to tackle challenges in sustainable aluminium through AI-driven microstructural analysis.
Workplace description
You will work at the Division of Data Science and AI, in the neuro-symbolic research group. This group works with combinations of neural networks and other symbolic techniques with applications ranging from mathematics to cognitive science, and often in cross-disciplinary collaborations. In this project the PhD student will work closely with a co-supervisor at the Division of Material and Computational Mechanics.
The NEST-WISE project offers a vibrant collaborative environment and close interaction with academic and industrial partners, including Volvo Cars. As part of the WASP research school, the position also includes opportunities for advanced courses, international research visits, and networking across Sweden’s top universities.