Northwestern University's Department of Earth & Planetary Sciences, in partnership with the Northwestern-Argonne Institute of Science and Engineering invites applications for a postdoctoral researcher with expertise in the characterization and simulation of extreme precipitation. The successful candidate will participate in a collaborative project focused on urban vulnerability and resilience. Candidates with expertise in weather radar analyses (e.g., Py-ART), high resolution model simulations (e.g., WRF), and/or urban hydrology are particularly encouraged to apply. As part of a multi-institution project, the successful candidate will be an employee of Northwestern University under the supervision of both Dr. Scott Collis (Argonne) and Dr. Daniel Horton (NU). Ideal candidates will have strong analytical skills, a background in Python, previous research experience with either NEXRAD or WRF, and excellent oral and written communication skills. Computing resources are available from both Argonne and Northwestern's High Performance Computing clusters. In addition to the primary project foci, candidates will have opportunities to collaborate on DOE- and ARM-funded research. The position starts December 2019, or as soon as possible thereafter. A PhD is required at time of appointment. Applicants should send their current CV, statement of research, and contact information to Scott Collis, as well as any questions regarding the position [email@example.com]. Review of applications will begin 25 Oct 2018 and continue until the position is filled.
Desirable knowledge and skills that must be addressed in applicant CVs and statement of research:
- Comprehensive knowledge of the atmosphere. Preference will be given to applicants with established knowledge of organized convective systems.
- Comprehensive written and oral skills as evidenced by presentations and publications.
- Comprehensive analytical skills including high level computational skills and an ability to apply diverse algorithms to meteorological data. Comprehensive knowledge of the Python programming language or a willingness and ability to learn. A dedication to good coding practices including version control, testing and self-documenting code.
- A strong understanding of active remote sensing (weather radar). An understanding of dual polarimetric Quantitative Precipitation Estimation. Applicants without radar experience are still encouraged but will need to convince the committee they will be able to quickly acquire the aforementioned skills.
- Strong skills in configuring convection resolving models. A preference will be given to applicants with experience in configuring and running WRF on many core machines. Demonstrated experience in simulating mid-latitude MCS/MCCs will be strongly preferred. Applicants without modeling experience are still encouraged but will need to convince the committee they will be able to quickly acquire the aforementioned skills.
- A dedication to working safely and complying with Northwestern and Argonne's anti-harassment, scientific conduct, diversity and inclusion and policies and practices.
Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes, including veterans and individuals with disabilities. Women, underrepresented racial and ethnic minorities, individuals with disabilities, and veterans are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.