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Internship Probabilistic Risk Assessment Jobs in Pennsylvania

PNC Bank

LOB Risk Lead

Pittsburgh, PA · On-site

Provides credible challenge and independent assessment of technology risk exposures, risk ... Performs Monte Carlo, scenario-based, and probabilistic analyses where applicable. Supports capital ...

Cmu

Senior Cyber Risk Engineer

Pittsburgh, PA · On-site

Experience with uncertainty quantification, probabilistic analysis, or decision science ... Experience conducting threat modeling, vulnerability analysis, or security assessments. * Knowledge ...

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Internship Probabilistic Risk Assessment information

What is the difference between Internship Probabilistic Risk Assessment vs Probabilistic Risk Assessment?

AspectInternship Probabilistic Risk AssessmentProbabilistic Risk Assessment
CredentialsTypically students or entry-level professionals with basic knowledgeProfessionals with specialized certifications or advanced degrees
Work EnvironmentInternship settings, training programs, or entry-level projectsFull-time roles in engineering, safety, or risk analysis teams
Industry UsageEducational and training purposes, entry-level exposureOperational risk assessments in industries like nuclear, oil & gas, or aerospace

Internship Probabilistic Risk Assessment is an entry-level, training-focused role for students or new professionals, often part-time or temporary. Probabilistic Risk Assessment is a professional, full-time role involving detailed risk analysis in high-stakes industries. The internship provides foundational experience, while the full role involves advanced analysis and decision-making.

What is an Internship in Probabilistic Risk Assessment?

An Internship in Probabilistic Risk Assessment (PRA) is a temporary position where students or recent graduates gain hands-on experience analyzing and quantifying risks associated with complex systems, often in industries like nuclear energy, aerospace, or engineering. Interns typically assist in developing mathematical models, performing simulations, and interpreting data to identify potential hazards and their likelihood. This role helps interns build practical skills in risk analysis, data interpretation, and technical communication under the guidance of experienced professionals.

What are some typical projects or tasks an intern in Probabilistic Risk Assessment can expect to work on?

As an intern in Probabilistic Risk Assessment, you can expect to be involved in tasks such as data collection and analysis, developing risk models, and assisting senior analysts in evaluating the likelihood and impact of various risk scenarios. You may also help prepare reports or presentations that communicate risk findings to other teams. Collaboration with engineers, data scientists, and subject matter experts is common, as risk assessment often draws on diverse expertise to ensure accurate modeling and interpretation. This hands-on experience provides valuable insight into both the technical and communicative aspects of risk assessment in a professional setting.

What are the key skills and qualifications needed to thrive as an Internship Probabilistic Risk Assessment, and why are they important?

To thrive as an Internship Probabilistic Risk Assessment, you need a solid background in mathematics, statistics, and engineering principles, often supported by coursework in risk analysis or reliability engineering. Familiarity with risk assessment software (such as SAPHIRE, RiskSpectrum, or CAFTA), statistical programming languages like Python or R, and relevant data analysis tools is typically expected. Strong analytical thinking, attention to detail, and effective communication help interns interpret complex data and convey findings clearly to multidisciplinary teams. These skills are essential for accurately identifying potential risks and contributing to safety and decision-making processes in technical industries.
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Internship Probabilistic Risk Assessment jobs near you

Post Doctoral Associate - Sakurahara Lab

University of Pittsburgh

Pittsburgh, PA

$47K - $64K/yr

Other

Posted 19 days ago

Job description

The Risk Analysis and Reliability Engineering (RARE) Laboratory at the University of Pittsburgh's Swanson School of Engineering conducts research to advance probabilistic risk assessment (PRA) to enhance the safety, efficiency, and usability of nuclear energy systems. The lab develops advanced PRA methodologies integrating physics-based simulations, Bayesian inference, and AI/machine learning tools to support risk-informed decision-making for both existing nuclear fleets and advanced reactors. Current projects include PRA for advanced reactors, integrated energy systems risk analysis, and AI-driven safety analysis tools with broad applicability across high-consequence industries.

Required Educational Background:
PhD in nuclear engineering or a relevant field (mechanical engineering, industrial engineering, etc.) with a research focus on probabilistic risk assessment and reliability engineering of nuclear energy systems.

Required Skillset:
Familiarity with nuclear power plant systems and hands-on experience with PRA software (e.g., CAFTA, SAPHIRE, and OpenPSA). Proficiency in scientific programming (e.g., Python) and exposure to AI/ML methods are required. A strong track record of publications, teamwork, proposal writing support, and mentorship is expected. 

Responsibilities:
Conduct research advancing PRA methodologies through expanded integration of physics-based simulations and AI tools. Disseminate research results through peer-reviewed journal publications and conference presentations. Support the PI in mentoring graduate and undergraduate researchers. Contribute to the development of external grant proposals.

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