Theory, Computer simulations and Machine learning in Soft Matter / Read / Utrecht University (NL)
Six European Research Council (ERC) Advanced Grant funded openings for PhD students and Postdocs in the Soft Condensed Matter group of the Debye institute for Nanomaterials science in the physics department at Utrecht University.
The aim of the project is to study “*the rational design of soft hierarchical materials with life-like functionalities using computer simulations and machine learning*”. Projects will involve developing coarse-grained models of soft deformable particles (ligand-stabilised nanoparticles, microgel particles, and hydrogels) using machine learning and atomistic simulations, colloidal self-assembly using particle-based simulations, investigating nucleation and kinetic pathways of phase transformations using enhanced sampling techniques and machine learning, rational design of dynamic materials with adaptive, reconfigurable, and shape-shifting properties.
The ideal candidate has a background in theoretical or computational physics (or a related field) with a strong background in statistical physics, soft matter, and programming in e.g. C or C++, python, LAMPPS.
*I*nterested candidates are welcome to contact me for furter information m.dijkstra…at…uu.nl (colloid.nl/people/marjolein-dijkstra <eur02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fcolloid.nl%2Fpeople%2Fmarjolein-dijkstra&data=02%7C01%7C%7Cc9e2c9ced2dc4923896308d7e8594a38%7Ccc7df24760ce4a0f9d75704cf60efc64%7C1%7C1%7C637…> ), and are encouraged to send their applications electronically as a single PDF document (including a detailed CV and lists of grades).
The salary will match the Dutch University pay scale.
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