Postdoctoral Appointee - Numerical Modeler/Urban Scale
Job posting number: #7157854 (Ref:416070)
Posted: June 27, 2023
Application Deadline: Open Until Filled
Argonne National Laboratory, a U.S. Department of Energy National Laboratory, has an opening for a highly motivated post-doctoral appointee at the Environmental Science Division. This Postdoctoral Appointee will collaborate with a group of scientists developing Urban Scale Models of physics, chemistry, hydrology and biosphere as a part of the CROCUS project (https://www.anl.gov/crocus). In particular, this position is for further developing WRF and similar models for Urban Scale LES simulations, implementing mitigation technologies (e.g. Green Roofs) in the model and developing coupling between WRF and Agent based models.
- Contributes technical expertise through analysis and support for programs and projects associated with HPC and computational problems related to earth system science and other environmental research programs.
- Develops, evaluates, and applies analytical approaches, synthesis activities, computational tools; compiles results, prepares reports, publications and documentation.
- Expertise in developing and working with hydrological models at Urban scale is desired; these models will be developed to scale on leading high performance computing platforms at ALCF and other Department of Energy computational platforms and conducting analysis of the simulation output for urban-to-regional effects of climate change.
- This is a two-year position that we want to fill immediately.
- Recent or soon-to-be-completed PhD (typically within 0-3 years) in geophysical science or a related field.
- Experience using high performance computational platforms, writing and modifying scientific code in Fortran/C++, Python.
- Experience understanding of process scale models of atmospheric phenomena experience in using WRF and expertise and interest in data analysis and visualization.
- Experience with numerical modeling and performing data analysis.
- Technical knowledge in using HPC systems for numerical simulations.
- Technical knowledge of Urban Scale models, WRF in particular.
- Effective, clear, and concise writing of technical papers.
- Effective oral, communication, and interaction skills with colleagues.
- Effective problem solving skills.
- Organizational skills and flexibility in coordinating a broad spectrum of activities.
- Knowledge of atmospheric dynamics, process scale models and numerical computation techniques.
- Knowledge of Urban Scale datasets and data analysis.
- Knowledge of using atmospheric observational datasets, data assimilation techniques and statistics.
- Familiarity with the use of GPU based systems for computing
- Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
This position description documents the general nature and level of work but is not intended to be a comprehensive list of all activities, duties and responsibilities required of job incumbent. Consequently, job incumbent may be required to perform other duties as assigned.
Job FamilyPostdoctoral Family
Job ProfilePostdoctoral Appointee
Worker TypeLong-Term (Fixed Term)
Time TypeFull time
As an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, gender expression, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.
Argonne is an equal opportunity employer, and we value diversity in our workforce. As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne prohibits discrimination or harassment based on an individual's age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.