Postdoctoral Researcher in Atomistic Modelling of
hace 1 semana
**JOB DESCRIPTION**:
CIC energiGUNE is looking for a researcher for our Modelling and Computational Simulations group to engage in the research and development of polymer electrolytes for rechargeable Zn-air batteries within a Horizon EU project.
Main functions:
**Area**: Electrochemical energy storage (EES)
**Research group**: Modelling and Computational Simulation Research Group
**WHAT WE OFFER**:
- We are offering a **3-year / temporary contract** and advantageous professional development opportunities with the possibility of renewal based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.
- Flexible working hours promoting work-life balance and self organization.
- On-site work model with the option to telework.
- Full access to cutting-edge laboratory facilities and characterization platforms.
- The incorporation to a top research center in Europe that makes high quality research and impactful contributions to the energy and sustainability fields.
- Professional and personal development: opportunity to attend seminars, international conferences, training courses, etc.
- Integrated, enthusiastic, international and multidisciplinary environment.
- A welcome program that offers help with finding accommodation and addresses other aspects to help you integrate into the local environment (such as free language courses, assistance with the administrative procedures, help with schools for children ).
**TO APPLY**:
- CIC energiGUNE is committed to affirmative action, equal opportunity, and the diversity of its workforce._
**DESCRIPTION OF THE INSTITUTION**:
- PhD in Physics, Chemistry, Materials Science, Applied Mathematics or other related topics
- Strong background (at least two years of previous experience as demonstrated) in Solid-State Physics/Chemistry and Quantum Chemistry, ideally applied to polymer science
- Good background in atomistic simulation methods such as molecular dynamics and/or Monte Carlo applied to condensed matter.
- Experience with interatomic potentials for molecular dynamics simulations and be able to write computer codes in Python, Fortran and shell scripts is required.
- Experience with density functional theory methods and a basic knowledge of machine learning methods and Bayesian analysis at user level
- High motivation and independence as well as a good team player skills.
- High level of English
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