Postdoc Position in Materials Modelling, Machine Learning and AI to Design the Next Generation Materials
Postdoc Position in Materials Modelling, Machine Learning and AI to Design the Next Generation Materials
Empa - Swiss Federal Laboratories for Materials Science and Technology
Dübendorf, Switzerland
We are looking for a machine learning expert combined with a chemistry or materials science background, to allow us to optimize materials properties.
Your tasks
- Develop multi-material models at the atomic and molecular level to enable us to optimize materials processes and designs
- Using experimentally obtained data you will optimize the next generation of materials through experimental design including but not limited to 3D printing of polymers, sintering of ceramics, joining of advanced ceramics
- You will be expected to perform processing experiments and to measure and investigate key mechanical and microstructural properties
- Present your results in scientific publications and at international conferences
- Supervision of BSc and MSc students
Your profile
- We are looking for a highly creative self-motivated team player
- You have a PhD degree in Materials Science or Chemistry combined with Machine Learning
- In depth experience of Python, VASP, PySCF, classical mechanics, scientific IT and data handling
- Experience in neural network architectures, bayesian optimization, random forest, kernel models, or gaussian process regression
- Worked with libraries such as pandas, github, tensorflow, pytorch, matplotlib and scikitlearn
- A proven track record in publishing peer reviewed articles
- Fluent in oral and written English
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