Postdoctoral Appointee – Carbon Capture
- Argonne National Laboratory
- Location: Lemont, IL
- Job Number: 7117065 (Ref #: 414521)
- Posting Date: Dec 1, 2022
- Application Deadline: Open Until Filled
Job Description
The successful candidate will perform research tasks within the transportation/power multi-physics computational team and in collaboration with other computational, chemical, and material scientists at the Laboratory towards developing carbon capture and related decarbonization heavy technologies (like electrification, waste heat recovery, alternate fuel combustion, etc.).
Perform Computational Fluid Dynamics (CFD) simulations of heat and mass transfer across contactors of various types (solid sorbent, liquid solvent, membranes) leveraging High Performance Computing resources. Develop reduced order models for application in process simulations of linked unit operations. Write scientific proposals, white papers, papers, and reports. Use machine learning methods to co-optimize contactor geometries and understand the sensitivities of the desired outputs to various input parameters.
Position Requirements
Candidates must have a Ph.D. in mechanical/aerospace engineering, applied mathematics, chemical engineering, or a related discipline.
Knowledge of hydrogen production pathways and CO2 capture (point-source and DAC) technologies.
Knowledge of code development (in C++/C/Fortran/julia) for the solution of non-linear partial differential equations. Version maintenance via git.
Knowledge of chemical thermodynamics is vital, especially use of thermodynamic databases via Cantera/Coolprop/Refprop/Chemkin/Aspen etc.
Working knowledge of OpenFOAM/basilisk/PeleLM/Nek5000/deal ii, or any other open-source CFD framework. A working knowledge of proprietary software like CONVERGE/FLUENT/STAR-CCM/Comsol.
Collaborative skills, including the ability to work well with other divisions, laboratories, and universities.
Skilled in oral and written communications at all levels of the organization.
A successful candidate must have the ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
Job Family
Postdoctoral FamilyJob Profile
Postdoctoral AppointeeWorker Type
Long-Term (Fixed Term)Time Type
Full timeAs 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.
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Please note that all Argonne employees are required to be vaccinated against COVID-19. All successful applicants will be required to provide their COVID-19 vaccination verification as a condition of employment, subject to limited legally recognized exemptions to COVID-19 vaccination.
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.
