The Division of Materials Science and Engineering at the Ames Laboratory, a Department of Energy National Laboratory affiliated with Iowa State University, is searching for a qualified candidate to fill the Postdoctoral Research Associate position available within Office of Science, Basic Energy Sciences (BES). Research will be conducted under the supervision of Professor Duane Johnson’s research group. This project will work with other standard electronic-structure techniques, such as plane-wave and full-potential methods, as well as utilize object-oriented and parallel programming (Fortran and C/ C++), with shell scripting, compilers, debuggers, and version control tool. A principle component of the research is the algorithm and code development with to predict reliably phase transformations and finite-temperature properties, and apply modern database or machine-learning approaches to materials discovery.
The BES project will focus on Mapping and Manipulating Phase Transformation Pathways in complex materials and extreme conditions to design and control properties, e.g., including quantum, magnetic, and structural materials, such as high-entropy alloys, as well as collaborate with experimental groups to verify results. 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 thermodynamic and electronic-structure-based capabilities.
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 be able to communicate effectively with a variety of audiences. Skills with writing are a significant advantage to accomplish this.
Required Qualifications: Ph.D. must be completed prior to start date.
Demonstrated knowledge or experience with electronic-structure methods development, coding, and application of such methods, as it is a principle R&D component.
Demonstrated expertise in object-oriented and parallel programming in Fortran and C/ C++
Demonstrated knowledge and experience with multiple-scattering theory, algorithm developing, coding, and application of such methods, and with databases and modern data use paradigms, e.g., machine-learning and physics-based indicators.
Interested candidates should submit 1) a cover letter detailing specific experience; 2) current C.V.; and 3) contact information for three (3) references to: firstname.lastname@example.org. The guaranteed consideration date is 05/08/2018.
Ames Laboratory/Iowa State University does not discriminate on the basis of race, color, age, ethnicity, religion, national origin, pregnancy, sexual orientation, gender identity, genetic information, sex, marital status, disability, or status as a U.S. veteran. Inquiries regarding non-discrimination policies may be directed to Office of Equal Opportunity, 3350 Beardshear Hall, 515 Morrill Road, Ames, Iowa 50011, Tel. 515 294-7612, email email@example.com.
About Ames Laboratory
The Ames Laboratory is a government-owned, contractor-operated national laboratory of the U.S. Department of Energy (DOE), operated by and located on the campus of Iowa State University in Ames, Iowa. For over 65 years, the Ames Laboratory has successfully partnered with Iowa State University, and is unique among the DOE laboratories in that it is physically located on the campus of a major research university.
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