Psi-k: Post-Doctoral Position in Machine Learning for Biomaterials at Aalto University in Helsinki

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Post-Doctoral Position in Machine Learning for Biomaterials at Aalto University in Helsinki

A fully funded 2-year post-doc position is available in the Computational Electronic Structure Theory group (https://www.aalto.fi/en/department-of-applied-physics/computational-electronic-structure-theory-cest) of Prof. Patrick Rinke at Aalto University in Helsinki, Finland. In this position, you will have a chance to make an impact on sustainable development by applying tools from artificial intelligence (AI) to biomaterials research. Our objective is to optimize the conversion of lignin and carbohydrates into functional materials and to understand the relation between the processing conditions and the structural properties of the materials.

We welcome candidates with a PhD in chemistry, physics or materials science who are curious about applied machine learning in natural sciences. Prior machine learning or statistics experience is required. Biomaterials or polymer expertise, python knowledge or experience with digitalization are a bonus, but not a requirement. We seek colleagues who enjoy coding, scripting and analytics, and are keen to push the boundaries of data-driven materials science. This project requires creative thinking and programming, as well as technical expertise in machine learning and a broad understanding of biomaterials science.

More information on the position and application guidelines can be found here: https://aalto.wd3.myworkdayjobs.com/en-US/aalto/job/Kandikeskus/Postdoctoral-researcher-2_R31831 The application deadline is 30.9.2021.

https://psi-k.net/jobs/post-doctoral-position-in-machine-learning-for-bio-2