Materials Design is excited to announce a search for a new colleague who will enhance our Support team and provide solutions to our growing user community. The formal advertisement is available on https://www.materialsdesign.com/careers. We are looking for applicants with a PhD in computational materials science or related fields to support our users *applying* MedeA to solve their research problems and open new areas of exploration in the field of atomistic simulations.
If you know of a candidate with such expertise, please encourage them to apply. They are welcome to submit a cover letter and resume with a selected list of publications to firstname.lastname@example.org.
Application and Research Scientist
We are seeking an Application and Research Scientist with expertise in first principle methods to join our dynamic and growing team in San Diego, CA providing pre-sales and post-sales support for Materials Design’s premier software environment for atomistic simulation of materials, MedeA.
Daily duties may include:
Provide scientific support for customers and prospects in using the MedeA® software environment to solve their research and development problems
Prepare presentation and training materials and conduct on-line and on-site presentations and trainings for customers and prospects
Provide technical support for customers and prospects on installing and configuring the MedeA® software environment on their computing resources
Participate in software development and/or contract research activities
Qualifications We Require
PhD in physics, chemistry, materials science, or related discipline with a focus in first principles methods
Expertise in VASP program
A resourceful and creative person with excellent interpersonal skills who thrives on helping others solve problems
A record of publication of results in peer-reviewed journals and external presentations at scientific conferences
Qualifications We Desire
Experience with the MedeA® software environment, or at least one of the following packages: LAMMPS, GIBBS, MOPAC, and Gaussian
Experience with high-performance computing platforms, parallel computing (multi-core and many-core), and cluster management
Experience with software development and shell scripting
Experience with kinetic Monte Carlo, quantum Monte Carlo, machine learning, coarse-grained methods, or phase field methods is a plus
Active in scientific forums and mailing lists
This position is a full-time position based in the U.S. We offer competitive compensation and benefits including:
Legal authorization to work in the United States preferred.