*Job Summary:* The hires will work on the design and implementation of the data infrastructure of ColabFit and on the interfacing and translation between the various CIs to which ColabFit interacts. Their efforts will have particular emphasis on computer science development tasks, such as application programming interface (API) development, implementation of best practice coding methodologies, training set data structure design, and visualization. They will work closely with the PIs to advance the ColabFit framework, and will also interact with unfunded collaborators engaged on the project (see the Facilities, Equipment and Other Resources document) and other researchers in the molecular modeling community to obtain user feedback and identify needed new features for the ColabFit ecosystem.
*Job duties will include the following:*
The research scientist will be involved in all aspects of the ColabFit project, with particular emphasis on continued development and maintenance of the ColabFit software infrastructure. In addition, the Research Scientist will take on a leadership role in the research aspects of the project working with researchers in the molecular modeling community on developing new ColabFit features, serving along with the PIs as mentor to the project graduate students, writing journal articles, and giving presentations and conferences and workshops. (90%) Provide guidance for graduate students, and utilize knowledge and experience to guide this process. (10%)
Ph.D. in Aerospace engineering, Computational Materials Science, or related field with two or more years of post-doctoral research training. Experience with empirical atomistic modeling and simulation of engineering materials, such as Molecular Dynamics simulations. Competence with machine learning techniques, cloud-based scientific computing, and Virtual Machine technologies. Proficiency with Python programming. Demonstrated excellence in conducting independent research, oral communication, and interpersonal teamwork skills. Excellent organizational, presentation, and writing skills. Demonstrated self-motivation and creativity.
Proficiency in each of the C, C++, and Fortran programming languages. Research experience in the area of “accuracy and transferability of empirical interatomic potentials”.
Internal Number: 338331
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