Job Description

Position Description

The Decision and Infrastructure Science (DIS) Division researches, designs, and delivers scientific tools and methodologies to inform decision-making regarding the most challenging security, risk, and resilience problems. DIS experts have developed methods to understand infrastructure dependencies and interdependencies, build resilient infrastructure, and respond to emergencies. As a multidisciplinary national laboratory, Argonne offers an exciting atmosphere in which to collaborate on interdisciplinary projects, enabling the exploration of complex technical problems through the integrated application of natural, social, and computer science practices. 

DIS is seeking one or more post-doctoral appointees to support a growing and longstanding sponsored research portfolio focused on critical infrastructure security and resilience. The selected candidate(s) will have the opportunity to conduct applied research related to modeling and understanding the operations of critical infrastructure assets, systems, and networks under adverse conditions caused by natural and technological hazards and adversarial threats. The selected candidate(s) will apply expertise in one or more infrastructure systems (ideally, natural gas, oil, or electric power) drawing on advanced understanding of statistical and stochastic methods, optimization, geospatial, machine learning, and related analytic tools and techniques. This post-doc position will be supported by one or more program offices within the U.S. Department of Homeland Security and/or the U.S. Department of Energy. The selected candidate(s) will have the opportunity to interface with sponsors and support the implementation of their research findings. 

Candidates should understand that their portfolio will be driven by sponsor office requirements and research will reflect these program priorities.

In this position, you will:

• Support principal investigators in the development and implementation of research methodologies to support analytic efforts related to the security and resilience of infrastructure systems.
• Develop/contribute to analyses, tools, models, reports, and technical publications in support of sponsored research programs on critical infrastructure analysis.
• Develop technical reports and participate in conferences, seminars, and meetings as requested by the sponsors.

Position Requirements

To be considered for this position with must have:

• PhD or be ABD in a relevant science or engineering field such as applied mathematics, computer science, electrical engineering, industrial engineering, civil engineering, operations research, or similar.
• Experience commensurate with the conduct of graduate-level research in infrastructure systems analysis and simulation.
• Ability to design research projects; develop, test, and apply methodologies; and clearly present results.
• Experience with computer programming, including exposure to one or more languages such as C ++, Java Script, Julia, Python, Visual Basic, Dojo, and/or HTML.
• Basic experience with R, MatLab, and/or GIS preferred, but not required.
• Strong skills in oral and written communication. This includes the ability to interact with team members and sponsors on all aspects of research activities.
• Previous internships or professional experience in industry are desired, but not required. 

Additionally:

• All candidates must pass a general background check and drug screening for employment and may be required to obtain/maintain a “Q” clearance, which generally requires US citizenship.
• Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

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, 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.

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.