Postdoctoral Researcher in Computational Modelling of Self-organization in Soft Materials

Postdoctoral Researcher in Computational Modelling of Self-organization in Soft Materials

Aalto University - School of Chemical Engineering

Espoo, Finland

The Soft Materials Modelling group at Aalto University, Finland, is looking for a postdoctoral researcher to work on 1) molecular mechanisms of triggered assembly phase transitions in multicomponent biomacromolecular solutions and/or 2) structural organization of polymer assemblies for functional materials (active and driven materials). The applicant can target to work on one or both directions in the application. The projects are in the Research Council of Finland Center of Excellence in Life Inspired Hybrid Materials (LIBER) at Aalto University. LIBER operates across physics, chemistry, and biosciences in Aalto University – the sought person has the ability and willingness to drive high-profile, interdisciplinary research in a joint effort between experimental and computational/theory research.

Your background and expertise

A study background and doctorate degree in computational soft materials physics, polymer technology, chemistry, materials science, or related field, as well as, a good publication history and a strong understanding of soft matter and macromolecular assembly, especially polymer materials and/or driven self-organization and assembly, are needed. Specific expertise can focus on modelling of e.g., polymer, biomolecular systems, or colloidal systems. We work at both atomistic and coarse-grained modelling levels and appreciate multiscale expertise, and ability to combine the particle-based approaches with statistical mechanics and continuum scale modelling of soft materials. The candidate should have demonstrated expertise in dissemination of scientific results and be well versed in data handling and linux/unix based high performance computing environments (HPC computing). The candidate must have good oral and written command of English.

Apply NowDeadline 11 January
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