Postdoctoral Fellowship Opportunity in SoTeRiA Laboratory


The SoTeRiA Laboratory is looking or a Postdoctoral researcher to apply through the Beckman Institute Postdoctoral Fellows or Beckman-Brown Interdisciplinary Postdoctoral Fellows programs.

The Beckman Institute Postdoctoral Fellows and Beckman-Brown Interdisciplinary Postdoctoral Fellows programs are intended for recent Ph.D.s or students in their final year of doctoral study with research interests relevant to the Beckman Institute. A competition is held yearly and four to six Beckman Institute Postdoctoral Fellows and one Beckman-Brown Interdisciplinary Postdoctoral Fellow are selected. The terms are up to three years.


Please contact SoTeRiA Laboratory by emailing for guidance in preparation of your application.

Once discussing with the SoTeRiA Laboratory, visit the Beckman Website to fill out the application, which includes CV, research plan, research justification, letters of reference, etc. Applications for the Year 2017 Beckman Postdoctoral Fellows Program are now being accepted until midnight Central Time on Monday, November 28, 2016.



Assistant Prof. Zahra Mohaghegh is the 2016 winner of the American Nuclear Society Mary Jane Oestmann Professional Women’s Achievement Award. The Oestmann award of the 11,000-member ANS recognizes outstanding personal dedication and technical achievement by a woman in the fields of nuclear science, engineering, research or education.


Assistant Professor Zahra Mohaghegh of the Department of Nuclear, Plasma and Radiological Engineering (NPRE) at the University of Illinois Urbana-Champaign (UIUC), is a recipient of the university’s 2016 Engineering Council Award for Excellence in Advising. This award is in recognition of the important role that advisors play in the academic planning process of engineering students on campus and is given to the top 10 percent of engineering advisors.

See the NPRE article for more information:

SoTeRiA Laboratory Opens a Graduate Research Assistant Position for Computational and Multidisciplinary Risk Analysis

View SoTeRiA Research Opportunity

The Socio-Technical Risk Analysis (SoTeRiA) Laboratory ( at the University of Illinois Urbana Champaign (UIUC) has an open graduate research assistant position, and is seeking a professional, hard-working, creative, and collaborative student to join the laboratory. The candidate will work on projects funded by the National Science Foundation ( Based on the candidate’s background, potential home departments for the graduate student can include: Computer Science (, Informatics (, or an associated Engineering department ( The candidate’s research will directly contribute to the scientific advancement of Probabilistic Risk Assessment (PRA) used in diverse industries and in risk-informed decision making and regulation. The research candidate needs to have strong computational skills for designing, developing, validating, benchmarking and operationalizing Risk Analysis tools.

The candidate should be comfortable to work in the following areas:

  • High-Performance Computing projects on large distributed multi-core supercomputing NCSA resources
  • Large Volume Data Management of Unstructured Heterogeneous Documents (e.g., cleaning and coding a text corpus)
  • Advanced Data Visualization (e.g., yt;
  • Object Oriented Programming
  • Multiscale Simulation
  • Software Application and GUI Development

Proficiency in Python and R is required. Knowledge on using Python for integration with other languages is required. Experience with Java is preferred. Experience with C languages, Matlab, and FORTRAN is a plus. The candidate should have working knowledge of the Linux environment and how to write script files.

The candidate should have a strong research ethic, capable of documenting the development of code for maximum reproducibility and maintaining a high level of scientific excellence. This research provides the student with the opportunity to gain multidisciplinary risk analysis knowledge and experience. The student will work under the supervision of Professor Zahra Mohaghegh, and collaborate with the dynamic and interdisciplinary team of the SoTeRiA Laboratory. Please contact the SoTeRiA Lab if you are interested in this opportunity (

Mohaghegh team receives NSF grant to use big data analytics in new-generation probabilistic risk assessment


“NPRE Assistant Prof. Zahra Mohaghegh is the Principal Investigator on a five-year National Science Foundation (NSF) project that integrates big data analytics into Probabilistic Risk Assessment (PRA).

Entitled “A Big Data-Theoretic Approach to Quantify Organizational Failure Mechanisms in Probabilistic Risk Assessment,” the $899,000 project is funded by two NSF programs: Science of Organizations (SoO) and Big Data Science and Engineering (BIGDATA).

“Catastrophic events such as Fukushima have made it clear that the capability of integrating physical and social causes of failure into a socio-technical modeling framework is the future of risk analysis,” said Mohaghegh. The NSF research aims to quantify this framework for the risk analysis of nuclear power plants. The methodology is also applicable for other high-risk industries, including aviation, healthcare, oil and gas.

Mohaghegh, an expert in PRA, is teaming up with specialists in Organizational Behavior (Co-PI Prof. Cheri Ostroff; University of South Australia) and Information Science (Co-PI Associate Prof. Catherine Blake; University of Illinois at Urbana-Champaign) to advance predictive causal modeling and big-data theoretic technologies for PRA. Current organizational risk contributors lack reliable data analytics, according to Justin Pence, an informatics PhD student and member of Mohaghegh’s group in the Socio-Technical Risk Analysis (SoTeRiA) Laboratory. These researchers are expanding the classical approach of data management for risk analysis by using big data analytic techniques and simulation to uncover organizational contributors to system risk.

This research will advance the Big Data-Theoretic Algorithm; a methodology for extracting and interpreting socio-technical information from unstructured textual communications. The PI’s research group has developed the Big Data-Theoretic Algorithm and initiated its application in the nuclear power industry to perform text mining on Corrective Action Program documents. In addition to unstructured data, this research deals with large volume of data to perform uncertainty analysis on large-scale risk frameworks. Mohaghegh is an investor in the Illinois Campus Cluster Program (ICCP), allowing her to use ICCP resources in risk research projects.

A member of the NPRE faculty for the past two years, Mohaghegh has pioneered research in the systematic causal modeling of physical and social failure mechanisms by incorporating Big Data Analytics and spatio-temporal dimensions into PRA. PRA is one of the key pillars of the Risk-Informed regulatory framework for the Nuclear Regulatory Commission (NRC). A growing number of other U.S. government agencies – the Department of Energy (DOE), the Federal Aviation Administration (FAA), the National Aeronautics and Space Administration (NASA), the Department of Defense (DOD), the Environmental Protection Agency (EPA), and the Food and Drug Administration (FDA) – also have begun to use PRA for policy setting and decision-making.

Dean’s Award for Excellence in Research
Mohaghegh was honored in Spring 2015 with the College of Engineering at Illinois Dean’s Award for Excellence in Research for her innovative and scientific contributions to risk analysis. She views the award as a result of state-of-the-art research emanating from the SoTeRiA team.

Since coming to Illinois, Mohaghegh and her group have been involved in a large-scale academia-industry project, sponsored by the South Texas Project Nuclear Operating Company. The work has contributed to developing an integrated risk methodology for the resolution of the nuclear industry’s 20-year-long and very challenging Generic Safety Issue 191 (GSI-191).

Examples of the lab’s current research projects include:

  • Fire PRA in nuclear power plants;
  • Location-specific Loss of Coolant Accidents (LOCA) leading to Emergency Core Cooling System failure;
  • Modeling the effects of human and organizational factors on nuclear power plant technical system failure;
  • Socio-technical risk-informed emergency preparedness, planning and response modeling for severe accidents;
  • Evaluating PRA’s monetary value.

International Impact
The SoTeRiA Laboratory aims to establish the University of Illinois as a global leader in Risk Analysis education and research. In March 2015, Mohaghegh’s group developed and presented the U.S.-China Probabilistic Safety Assessment Workshop on “Risk-Informed Regulation and Safety Culture,” in Shenzhen, China, as part of the DOE’s Peaceful Uses of Nuclear Technology (PUNT) program.

The SoTeRiA team coordinated and taught a one-week training workshop on risk-informed regulation and safety culture for the Chinese nuclear power industry. Seventy-two representatives from 28 Chinese nuclear energy organizations and entities attended, including plant managers, operators, engineers, and researchers. NPRE research affiliate Ernie Kee and Ph.D. candidate Tatsuya Sakurahara joined Mohaghegh and Pence in leading the workshop, in collaboration with U.S. regulatory experts Glenn Kelly (retired from the Nuclear Regulatory Commission) and Weidong He from AdSTM, LLC.

With 10 years experience in PRA research, Mohaghegh believes that “while the U.S. leads in risk analysis methods for nuclear safety, PRA researchers applying analysis techniques in countries such as China and Japan must take into account varying geographies, cultures and operating experiences to avoid potentially misleading results.” Mohaghegh and her team have initiated collaborations with national and international research institutions in order to achieve tailor-made solutions for high-risk operations around the world.

Impact at the University of Illinois
At the University of Illinois, Mohaghegh and her SoTeRiA team are presenting foundational undergraduate and graduate risk analysis courses to train the next generation for risk analysis in high-consequence industries. In addition to students from NPRE, the courses have attracted students from multiple departments including Civil and Environmental Engineering, Mechanical Science and Engineering, Aerospace Engineering, Industrial Systems and Enterprise Engineering, and Informatics. Risk Analysis courses address fundamental theories of risk-scenario modeling and accident phenomenology, uncertainty analysis, Bayesian and data analysis, probabilistic physics of failure, human error modeling, and next generation PRA methods and tools. Students are provided with hands-on opportunities using PRA software to address real-world risk analysis problems.

The momentum of Mohaghegh and her SoTeRiA research team is influenced by a shared vision to usher in a new era, void of catastrophic technological accidents, where industry-academia projects are leveraged to raise social responsibility for the protection of workers, the public, and the environment.”