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Date: Thu Oct 25 11:20:33 2018
Subject: 18.10.25 Research Scientist Computational Chemistry at Solvay (Shanghai)
SOLVAY is a multi-specialty chemical company committed to developing
chemistry that addresses key societal challenges. We innovate and partner
with customers in diverse global end markets. The Research & Innovation
Function (R&I) leads Solvay into new growth territories with breakthrough
innovation to generate new products, applications and processes in the
field of sustainable chemistry. It partners with the GBUs to deliver more
value and leverages the Groups capabilities to improve competitiveness
and create new business opportunities for Solvay and its customers.


For our Research & Innovation center in Shanghai, we are looking for a 
Research Scientist Computational Chemistry to investigate chemical and
physical properties of materials, such as chemical processes occurring
at solid / liquid / gas interfaces, adsorption phenomena on porous and
non-porous materials, reactivity of polymers, high-throughput modeling
of organic reactions, and (catalytic) reaction mechanisms.

The successful candidate will work in a multidisciplinary and
multicultural team dedicated to the development of eco-efficient
products and processes, in collaboration with internal teams and
external research institutions.


- Work in the Research and Innovation Center Shanghai for Solvay/CNRS Joint 
Lab  Eco-Efficient Products and Processes Laboratory (E2P2L), UMI 3464.
- Plan, perform, analyze and document calculations for the study of chemical
reactivity and interfaces, also in collaboration with internal and external
- Build project files with the most up to date literature and ensure the
updates of such files during the lifetime of the projects.
- Supervise the work of interns and coordinate collaborations with external
research institutions.
- Identify and promote the added value of modeling for R&D projects and
propose corresponding modeling approaches, using his / her quantum
and physical chemistry skills.


- Doctorate or postdoctorate in computational chemistry, physics, materials
science or a related discipline.
- Strong track record in applying quantum-chemical (DFT or wavefunction-
based) and force-field based methods to the study of chemical reactivity,
adsorption phenomena, and related properties.
- Experience with one or more additional techniques, such as machine
learning, QSPR approaches, modeling of electrochemical phenomena,
polymerization, solvents effects, modeling of kinetics and thermodynamics.
- Knowledge of scripting languages (Python, Perl, bash ) is not mandatory,
but considered a plus.
- Critical thinking and strongly problem-oriented work style.
- Good ability to work in a team and communicate with internal and external
Please send an e-mail to raphael.wischert,
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