Ames Laboratory, a Department of Energy (DOE) funded national laboratory affiliated with Iowa State University, is seeking qualified candidates to fill an Assistant Scientist III (limited term) position available within the Division of Materials Science and Engineering (DMSE). The funded project is within the Office of Energy Efficiency & Renewable Energy (EERE) and Advanced Manufacturing Office (AMO).
Research will be conducted under the supervision of Professor Duane Johnson's research group. The project will work with electronic-structure techniques, as well as utilize object-oriented and parallel programming (Fortran and C/ C++), with shell scripting, compilers, debuggers, and version control tool. The project will involve developing and applying advanced algorithms, parallel-computing capabilities, software engineering, application of density-functional theory methods/codes, and modern database or machine-learning approaches to design, discover, and assessment new alloys.
The Assistant Scientist III will provide advanced level theory and technical support for a project on theory-guided design and development of multi-principal element alloys (a.k.a. high-entropy alloys) with co-designed oxidation-resistant coating, with extension to other properties possible. Theory will guide combinatorial synthesis and coating chemistry for resistance in high-temperature applications: a generation-1 (GEN-1) system development for high-entropy alloys as turbine blade in energy systems. The project will focus on stability and temperature-dependent mechanical properties in high-entropy alloys (more generally complex solid-solution alloys) and behavior in extreme conditions, which also will involve collaborations with experimental groups. Green's function, multiple-scattering theory (KKR) methods, including linear-response, along with a working knowledge of correlated-electron and excited-state physics is necessary to develop unique and desired properties.
The successful candidate is expected to collaborate in a team consisting of other scientists and graduate students, and conduct both collaborative and independent research. Therefore, the successful candidate must have strong and effective communication and interpersonal skills; and the ability to plan, initiate and execute theoretical research in collaboration with multiple PIs, both local and remote. Position requires analyzing results under supervision of the Group Leader to support DOE- and industrially-sponsored research, with close collaboration with experimental scientist on designer materials. This position interfaces with researchers at Ames and other national labs involved in co-developments and applications, and may involve day-to-day supervision of graduate and undergraduate students on related project(s). This position will address all required safety duties.
Required Education and Experience:
Bachelor’s degree and 5 years of related experience; OR a Master’s degree and 3 years of related experience; or a Ph.D. or other professional degree and related experience.
Preferred Education and Experience:
Ph.D. in materials physics or related field.
Demonstrated knowledge and experience with electronic-structure methods and their applications to complex materials.
Demonstrated knowledge or experience with electronic-structure method, including mathematical derivation, method development, coding, and application, as well as familiarity with thermodynamic relevant codes, such as vibrational (phonon) codes, for prediction of finite-temperature properties of alloys and compounds.
Demonstrated knowledge and experience with multiple-scattering theory, algorithm developing, coding, and application of such methods.
Demonstrated knowledge of relativistic physics, e.g., spin-orbit and exchange-correlation methods in density-functional theory.
Experience with programming FORTRAN modules; object-oriented and parallel programming in Fortran and C/ C++, in addition to shell scripting, compilers and debuggers.
Experience with software engineering and version control tools, especially for electronic-structure codes.
Demonstrated knowledge or experience in using databases, shell scripting, data-correlation, and modern data use paradigms.
Iowa State University is classified as a Carnegie Foundation Doctoral/Research University-Extensive, a member of the Association of American Universities (AAU), and ranked by U.S. News and World Report as one of the top public universities in the nation. Over 36,000 students are enrolled and served by over 6,200 faculty and staff (see www.iastate.edu). Ames, Iowa is a progressive community of 60,000, located approximately 30 minutes north of Des Moines, and recently voted the best college town in the nation (see www.visitames.com).
Iowa State University is an equal opportunity employer committed to excellence through diversity and strongly encourages applications from all qualified applicants, including women, underrepresented minorities, and veterans. ISU is responsive to the needs of dual career couples, is dedicated to work-life balance through an array of policies, and is an NSF ADVANCE institution.
Iowa State University is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status and will not be discriminated against.