14th November 2019 : Postdoc – theory/modeling block copolymer « soft crystals » – UMass Amherst

Dear colleagues,

I apologize, in advance, for the impersonal nature of this message.  I’m
writing because I’m actively searching for candidates for a
post-doctoral research position the area theoretical/computation
polymeric and soft materials at the University of Massachusetts,
Amherst.  The research projects associated with this positions are
described below in the area of theoretical modeling of complex block
copolymer assemblies (e.g. “soft crystal” phases).  Please forward this
announcement to any interested, well-qualified candidates.

To apply for one of these positions, an interested applicant should
forward a CV and three letters of reference to grason@mail.pse.umass.edu
.  The position is to start as early
as January 2020 and are for one year, but with the intention for renewal
for at least one additional year pending suitable  performance/progress.

Greg Grason

*Non-Canonical, Triply Periodic (e.g. “Soft Crystal”) Phases of
Block Copolymers*
I am seeking to hire an outstanding candidate for post doctoral
research in the area of theoretical modeling self-assembly of
triply-periodic network phases of block copolymers (BCP).  The
project, in collaboration with experimental research with Ned Thomas
(Rice) and Bryan Coughlin (UMass), aims to understand the molecular
design principles required to tailor the architecture of BCPs to
target equilibrium assembly of triply periodic network morphologies
beyond the canonical phases (e.g. gyroid and diamond network phases)
most often formed by BCPs or other soft matter systems.  The
postdoctoral research would develop and implement a combination of
self-consistent field theory, strong-segregation theory and
geometric methods to model the thermodynamic selection of
equilibrium symmetry and topology of network phases and its
dependence on complex BCP architecture.  The researcher would
contribute to and benefit from collaborative efforts to synthesize
and assembly new BCP architectures and characterize their complex 3D
self assembly via novel microscopy methods.

Candidates should have a Ph.D. in Physics, Chemical Engineering,
 Materials Science and Engineering or related fields, and specific
research experience in theory and/or computational model of soft or
polymeric materials.  Previous research experience in theoretical
methods of polymer physics and/or complex geometry of
self-organization soft materials is preferred.

Greg Grason
Department of Polymer Science and Engineering
University of Massachusetts, Amherst

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