Position Summary
Applicants who work in the field of computational physics or computational materials science and can complement collaborate and grow current research efforts in the department to build a strong computational nanoscience research program are welcome to apply. Of particular interest are those whose research programs will focus on solidstate physics quantum computing condensed matter physics and the development of computerbased mathematical models (machine learning) for understanding analyzing and predicting the behavior or properties of systems relevant to nanoscience and nanotechnology and develop algorithms and simulation tools to advance the state of the art in multiphysics simulation for a large variety of physical processes in 2D and 3D where problems are not well defined; however applicants with strong background in solid state physics and working in the field of computational nanoscience broadly defined will be considered.
Minimum Qualifications
Qualified applicants will have an earned PhD in a relevant science discipline such as materials science and engineering physics computational mathematics or more of these specialized fields: physics mathematics engineering or related field or the equivalent combination of education and related experience and have at least two years of postdoctoral training.
Preferred Qualifications
Competitive candidates will have an excellent record of research as demonstrated by their publication record and exhibit great promise of extramural funding or have an established record of extramural funding. New faculty will be expected to develop an externally supported research program teach effectively at the graduate level collaborate with researchers in the Joint School of Nanoscience & Nanoengineering as well as with researchers in their field and participate in Departmental and University service activities with opportunities at the Joint School to engage in entrepreneurial activities.