As part of the Academy of Finland project ‘Microscopy and machine learning in
molecular characterization of lignocellulosic materials (MIMIC)', a post-
doctoral position is available in modelling of sustainable biomaterials. In
the MIMIC project, a novel microscopy imaging and machine learning
infrastructure is used to visualize individual lignocellulosic building blocks
and their assembled structures at an unprecedented resolution. The aim is to
develop an approach that can be applied in the characterization of new
sustainable biobased materials and natural textile fibers, as well as to
reveal the detailed surface structure of lignocellulosic materials, essential
for enzyme-aided or chemical modification in biorefineries. The project is
built around two groups at the Department of Applied physics in Aalto
University – the Surfaces and Interfaces at the Nanoscale (SIN) group) led
by Prof. Adam Foster and the Atomic Scale Physics (STM) group led by Prof.
Peter Liljeroth. Then efforts in molecular synthesis are led by Dr. Joni Lehto
We are looking for a computational post-doctoral researcher for the project,
working mainly on the interface between quantum/atomistic simulations of
molecular materials and machine learning predictions of microscopy imaging.
The specific focus can be adjusted according to the experience of the
successful candidate. The position is hosted in the SIN group.
Successful candidates have a PhD in Physics, Chemistry, Materials Science,
Computer Science or related disciplines. Experience of computational physics
simulations and scientific programming is essential, and knowledge of machine
learning in that context would be considered a major asset. The candidate must
have a high motivation for research, show evidence of good written and oral
communication skills in English, and enjoy working in an international and
cross-disciplinary team. The position is available immediately and can run up
to at least the end of 2024. Typical gross salary ranges at the Aalto School
of Science are 3500-4000 €/month for post-doctoral researchers. Moreover,
Finland has a comprehensive social security system.
How to apply?
The call is open, and the position can be filled as soon as a proper candidate
is found. The deadline for the first round of applications is 16th February
2022. Applications should consist of a scientific CV including publication
list and the names of two referees. Applications should only be made through
the Aalto recruitment system (link on this page).
Please note: Aalto University's employees should apply for the position
via our internal HR system Workday -> Career -> Find jobs
For more information on the position, please contact Professor Adam Foster,
firstname.lastname@example.org, tel. +358504333097.
For questions related to application process, please contact HR Partner Piia
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