The post is available as part of the DYNAPORE European Research Council Advanced Grant project running from October 2016 to September 2021 at the University of Liverpool under the supervision of Prof M J Rosseinsky. The objective of the project is to develop porous materials with protein-inspired responsive properties to guests and deploy those in sorption, separation and catalysis, optimising these properties based on understanding of the materials. This will be tackled by synthesising and evaluating new metal-organic framework materials whose structures and compositions are identified through close interaction between experiment and computation. This particular post is for a computational scientist to work on prediction and understanding of the new porous materials.

You will form part of the 5 person postdoctoral team (the other team members are experts in synthesis, characterization, single crystal diffraction and computational modelling of flexible porous materials) and work closely with other researchers in the group and collaborating teams.

The project requires an integrated array of complementary skills to facilitate the synthesis of new porous materials based on detailed, and ultimately predictive, understanding of their structures and properties arising from an integrated programme of computation and experiment. We encourage applications from researchers with high-level computational skills directly relevant to the simulation of porous materials who can make a strong contribution to the project.

Key skills are:

 Method and code development

 Atomistic simulation of biological or organic systems

 Structure prediction techniques

 Machine learning methods

 Host-guest interactions in porous materials

For more details and to apply, please go to this website.