Job Title

The Multiphysics Computations Group (MPC) at Argonne National Laboratory is seeking to hire a postdoctoral appointee. The successful candidate's research will involve synergetic collaborations with a multidisciplinary team comprised of fellow postdoctoral appointees, experimentalists, and staff scientists with computational fluid dynamics (CFD) and reduced-order modeling (ROM) expertise, with the goal of enhancing predictive capability and scaling of multi-scale and multi-physics simulation codes. The prospective postdoctoral appointee with perform multi-physics and multi-scale CFD simulations of complex systems involving modeling of multiphase flows, heat transfer, external aerodynamics, and low-carbon propulsive systems by further developing commercial/in-house codes and high-performance computing (HPC). In addition, the prospective postdoctoral appointee will develop reduced-complexity models for accurate prediction of fluid dynamical systems for the purposes of increasing computational efficiency, developing efficient data processing, and extracting relevant physical information and dynamics for increased understanding and utilization. Position Requirements Candidates must have a Ph.D. in mechanical/aerospace engineering, applied mathematics, chemical engineering, or a related discipline. Knowledge of multi-dimensional code development for CFD and parallel scientific computing is required. Experience in modeling and simulation of three-dimensional multiphase flow applications using 3-D CFD codes is required. Expertise in fluid dynamics and heat and mass transfer is required. Experience in modeling and simulation of external aerodynamics for aircraft systems is desirable. Knowledge of reduced-complexity modeling (physics-based and/or data-driven), and dynamical systems modeling is desirable. Knowledge of large scientific code management and optimization is desirable. Demonstrate good 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. The successful candidate is expected to present and publish results in peer reviewed society technical reports and journal articles. A successful candidate must have the ability to model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork. What will put you ahead: Experience in modeling refrigerants for HVAC applications. Experience in leveraging volume-of-fluid (VOF) modeling with phase-change for CFD desirable. Experience in modeling heat pump components and HVAC components/systems. Experience in geometry optimization with computer-aided design software. Knowledge of machine learning (using TensorFlow, PyTorch, etc.) for multi-fidelity modeling, regression tasks, management and analysis of large datasets, and parallel scientific computing. Experience in interdisciplinary collaborative research. Job Family Postdoctoral Family Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term) Time Type Full 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.