Overview
On Site
Full Time
Skills
Scientific Research
NATURAL
Loss Prevention
Risk Management
Insurance
Business Continuity Planning
Art
FOCUS
Fluid Mechanics
Modeling
Collaboration
Strategic Planning
Innovation
Mechanical Engineering
Aerospace
Computational Fluid Dynamics
Control Flow Diagram
Open Source
Ansys
Programming Languages
C++
Python
R
MATLAB
High Performance Computing
HPC
Parallel Computing
Testing
Publishing
Research
Problem Solving
Conflict Resolution
FM
Job Details
Overview
Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection.
Responsibilities
Join a world-class research team dedicated to reducing the impact of natural hazards and climate risks. FM is a market leader in commercial and industrial property insurance and loss prevention, serving over one-third of FORTUNE 1000 companies with engineering-based risk management and property insurance solutions. FM helps clients maintain business continuity through state-of-the-art engineering and research.
The Structures and Geohazards Research Group at FM is seeking a creative and self-motivated Senior Research Scientist with a strong foundation in wind engineering and a specialized focus on computational wind engineering (CWE). The ideal candidate will possess deep expertise in fluid dynamics, high-performance computing, and wind tunnel testing, along with a demonstrated ability to conduct innovative, high-impact research.
This role is integral to a strategic research initiative aimed at advancing the understanding of wind-related hazards and developing effective mitigation strategies. The successful candidate will contribute to cutting-edge projects that blend computational modeling with experimental validation to address real-world challenges in wind engineering.
Responsibilities:
Develop computational fluid dynamics (CFD) models to simulate wind flow around buildings and infrastructure, capturing complex aerodynamic interactions.
Analyze wind loading on structures using high-resolution simulations; validate results with wind tunnel experiments or field measurements.
Collaborate with interdisciplinary teams to incorporate wind effects into risk models, design standards, and resilience strategies.
Publish and present research in peer-reviewed journals and at scientific or industry conferences.
Contribute to strategic planning and innovation in wind engineering research initiatives.
Qualifications
PhD degree. Mechanical, Civil, Aerospace Engineering or related fields.
Hands-on experience with CFD software, both open-source (e.g., OpenFOAM) and commercial (e.g., ANSYS Fluent).
Proficient in programming languages such as C++, Python, R, MATLAB.
Skilled in high-performance computing (HPC) and parallel computing environments.
Experience with wind tunnel testing or field measurements is highly desirable.
Familiarity with relevant building codes and standards is a plus.
Proven track record of publishing high-quality research and effectively communicating complex technical concepts to diverse audiences.Strong problem-solving abilities, creativity, and the capacity to work independently as well as collaboratively.
The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more.
FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection.
Responsibilities
Join a world-class research team dedicated to reducing the impact of natural hazards and climate risks. FM is a market leader in commercial and industrial property insurance and loss prevention, serving over one-third of FORTUNE 1000 companies with engineering-based risk management and property insurance solutions. FM helps clients maintain business continuity through state-of-the-art engineering and research.
The Structures and Geohazards Research Group at FM is seeking a creative and self-motivated Senior Research Scientist with a strong foundation in wind engineering and a specialized focus on computational wind engineering (CWE). The ideal candidate will possess deep expertise in fluid dynamics, high-performance computing, and wind tunnel testing, along with a demonstrated ability to conduct innovative, high-impact research.
This role is integral to a strategic research initiative aimed at advancing the understanding of wind-related hazards and developing effective mitigation strategies. The successful candidate will contribute to cutting-edge projects that blend computational modeling with experimental validation to address real-world challenges in wind engineering.
Responsibilities:
Develop computational fluid dynamics (CFD) models to simulate wind flow around buildings and infrastructure, capturing complex aerodynamic interactions.
Analyze wind loading on structures using high-resolution simulations; validate results with wind tunnel experiments or field measurements.
Collaborate with interdisciplinary teams to incorporate wind effects into risk models, design standards, and resilience strategies.
Publish and present research in peer-reviewed journals and at scientific or industry conferences.
Contribute to strategic planning and innovation in wind engineering research initiatives.
Qualifications
PhD degree. Mechanical, Civil, Aerospace Engineering or related fields.
Hands-on experience with CFD software, both open-source (e.g., OpenFOAM) and commercial (e.g., ANSYS Fluent).
Proficient in programming languages such as C++, Python, R, MATLAB.
Skilled in high-performance computing (HPC) and parallel computing environments.
Experience with wind tunnel testing or field measurements is highly desirable.
Familiarity with relevant building codes and standards is a plus.
Proven track record of publishing high-quality research and effectively communicating complex technical concepts to diverse audiences.Strong problem-solving abilities, creativity, and the capacity to work independently as well as collaboratively.
The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more.
FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.