Postdoctoral Appointee – Computer Modeling & Analytics
- Argonne National Laboratory
- Location: Lemont, USA
- Job Number: 7188087 (Ref #: 416680)
- Posting Date: Oct 25, 2023
Job Description
Argonne National Laboratory, a Department of Energy Laboratory operated by the University of Chicago (UChicago Argonne LLC), is a national leader in basic and applied research, including cybersecurity, critical infrastructure resilience, and artificial intelligence. Argonne was born out of the Manhattan Project and in 2021 celebrated its 75th year of research into peaceful uses of nuclear energy and many other frontiers of science and technology.
Work at Argonne is diverse, high-impact, and fast moving. The Modeling and Analytics Group is comprised of computer software engineers creating complex models, integrating cutting edge technologies, and developing analytical tools to support energy and national security. These models and tools are developed by our group and used both internally at Argonne and by external sponsors for making critical policy and crisis action decisions.
We’re seeking a postdoctoral appointee to support the Strategic Security Sciences Division Modeling and Analytics Group in our efforts to develop large scale modeling, simulation, and analysis platforms in the areas of energy, military, transportation and supply chains. The work involves gathering requirements, designing and implementing complex modeling, simulation, and data analysis software, preparing and delivering full-orbed training and user documentation for the analytical products. Incumbents will be required to maintain cutting-edge knowledge of advances in modeling, simulation, machine learning, and data analysis techniques and tools. Application of new and advanced techniques to very large problems will be key to the long-term success of the programs. Development will be on personal computers, high performance computer clusters, or cloud resources.
Research activities include, but are not limited to:
Development of large-scale modeling and simulation systems on a wide range of national security and energy domains.
Employment of these models on high performance computers and cloud-based infrastructures.
Design, development, and deployment of novel business intelligence and machine learning applications.
Management and employment of big data.
Publishing papers in high-quality refereed conferences and journals.
Actively collaborating with industry, academia, government labs, and applications developers in a variety of venues.
Position Requirements
This level of knowledge is typically achieved through a formal education in computer science, computational science or related discipline at the PhD degree level with zero to three years of experience.
Ability to work closely with the project team to create, evaluate, and publish novel research ideas and collaborating with our partners and sponsors.
Ability to take initiative on research insights to bring them to fruition through publication or demonstration on mission applications.
Excellent interpersonal skills, oral and written communication skills, and strong personal motivation.
The ability to work in a dynamic, interdisciplinary team.
Programming expertise in Java, C++, Python, or R. Experiences with large databases and data manipulation tools is preferred.
Research experience in ONE or more of the following areas: complex systems modeling including simulation or analytical modeling; high performance computing, parallel programming, or cloud computing; big data, data farms, business intelligence, machine learning, or pattern recognition.
Other:
Selected candidate will be required to obtain and maintain a clearance and must be a U.S. citizen. Please see http://www.state.gov/m/ds/clearances/c10978.htm for more information about requirements for obtaining a security clearance process.
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.
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.
