Posted: 31 July
Offer description
Developing Neuro-Symbolic Models for Sustainable Materials Science
We are seeking a highly motivated PhD candidate to contribute to our interdisciplinary project, WASP-WISE NEST project RAM³. The successful candidate will focus on developing neuro-symbolic models to understand and predict the behavior of complex microstructures in recycled aluminium.
* Conduct independent doctoral research and develop original scientific concepts, leveraging machine learning expertise.
* Communicate research findings both verbally and in writing, utilizing strong written and verbal communication skills in English.
* Participate in teaching or other departmental duties up to 20% of full-time employment, fostering collaboration and knowledge sharing.
* A Master's degree (120 credits) or a Magister degree (60 credits) in a relevant field, such as materials science or engineering, or for international applicants, a 4-year Bachelor's degree in a related field.
* Strong programming skills, preferably in Python, with good knowledge of machine learning and data analysis.
* Excellent communication and teamwork skills, with the ability to work effectively in a cross-disciplinary environment.
* Experience with symbolic AI and neuro-symbolic methods, including deep learning techniques.
* Knowledge of applied mechanics and materials science, with a focus on sustainable materials and recycling.
