Design, develop, validate, and maintain workforce models and simulation capabilities to evaluate force structure changes, workforce flows, training pipelines, and readiness impacts for a major branch of the Armed Forces.
Compensation
W2 Hourly rate: $45-$55. Pay rates are based on experience, qualifications, location, and certifications, and are subject to change at any time.
Responsibilities
Analyze, integrate, and prepare workforce, training, readiness, and force structure data from sources such as Envision, STARS DMOG, AFMA, ARM, LCOM, and AETC systems.
Develop and maintain workforce flow models, net flow analyses, and workforce health assessments to identify key drivers, bottlenecks, and constraints across the 2A force generation enterprise.
Design, develop, calibrate, and validate simulation models, including Discrete Event Simulation and System Dynamics, to evaluate workforce planning scenarios and force structure alternatives.
Apply quantitative analysis and forecasting techniques to assess workforce trends and readiness impacts.
Develop visualizations, dashboards, technical documentation, and analytical products to communicate findings and support leadership decision-making.
Requirements
Nice to have: Envision
Nice to have: workforce modeling
Nice to have: human capital analytics
Nice to have: federal or Department of War environments
Nice to have: military personnel or readiness data
The successful candidate will support research focused on watershed hydrology, surface water systems, flooding, and water quality through the development and application of advanced hydrologic and hydraulic models.
Responsibilities
Develop, implement, and apply surface water, watershed, and flood models for hydrologic, hydraulic, and water quality analyses.
Verify and validate hydrologic and hydraulic models using field observations, monitoring data, and historical flood events.
Simulate watershed processes, including rainfall-runoff transformation, streamflow routing, flood inundation, sediment transport, and pollutant fate and transport.
Evaluate the impacts of land use change, climate variability, and extreme weather events on flooding, watershed hydrology, water quantity, and water quality.
Support the development of computational tools and decision-support systems for flood forecasting, watershed planning, and water resources management.
Requirements
Master's degree in Civil Engineering, Environmental Engineering, Environmental Science, Atmospheric Science, Earth Science, Hydrology, Water Resources Engineering, or a closely related discipline
Develop, implement, and apply surface water, watershed, and flood models for hydrologic, hydraulic, and water quality analyses.
Verify and validate hydrologic and hydraulic models using field observations, monitoring data, and historical flood events.
Simulate watershed processes, including rainfall-runoff transformation, streamflow routing, flood inundation, sediment transport, and pollutant fate and transport.
Evaluate the impacts of land use change, climate variability, and extreme weather events on flooding, watershed hydrology, water quantity, and water quality.
Support the development of computational tools and decision-support systems for flood forecasting, watershed planning, and water resources management.
Requirements
Ph.D. in Civil/Environmental Engineering, Environmental Science, Atmospheric Science, Earth Science, or a closely related discipline
Nice to have: CCHE numerical models
Nice to have: laboratory and/or field experimental studies
Support and lead technical studies involving stormwater systems, flood control facilities, drainage master plans, pump stations, floodplain analyses, and watershed management projects for public agencies.
Compensation
$48.25 - $59.25 / hour
Responsibilities
Develop hydrologic and hydraulic models for storm drain, watershed, floodplain, pump station, and flood control projects.
Build, calibrate, validate, and maintain engineering models using historical rainfall, flow monitoring, and field data.
Perform flood risk, drainage capacity, and infrastructure deficiency analyses.
Evaluate alternatives and develop Capital Improvement Program (CIP) recommendations.
Develop and manage GIS databases and map products to support engineering studies.
Seeking a motivated Project Engineer to join the Flood & Drainage team to lead technical studies involving stormwater systems, flood control facilities, drainage master plans, pump stations, and watershed management.
Compensation
$48.25 - $59.25 / hour
Responsibilities
Develop hydrologic and hydraulic models for storm drain, watershed, floodplain, pump station, and flood control projects.
Build, calibrate, validate, and maintain engineering models using historical rainfall, flow monitoring, and field data.
Perform flood risk, drainage capacity, and infrastructure deficiency analyses.
Evaluate alternatives and develop Capital Improvement Program (CIP) recommendations.
Develop and manage GIS databases and map products to support engineering studies.
The CFD and Multiphysics Modeling Engineer will develop and apply computational fluid dynamics, heat-transfer, mass-transfer, and related multiphysics models across Qnity's businesses, translating simulation results into practical engineering guidance.
Responsibilities
Serve as a central technical resource for application and product-development programs involving CFD, fluid flow, heat and mass transfer, and related multiphysics phenomena.
Work with scientists, engineers, and business teams to translate application, product, and process challenges into clear modeling objectives.
Determine what should be modeled and select an appropriate scope, assumptions, dimensionality, and level of fidelity based on the governing physics, available information, business objectives, and timelines.
Recognize when modeling can meaningfully support a program and identify when additional data, experiments, or other technical approaches are needed.
Model coupled phenomena such as fluid flow, heat and mass transfer, particle transport, electrochemistry, and mechanics as appropriate to the problem.
Data Scientist at Director level responsible for the development of statistical and machine learning models to identify, assess, and mitigate fraud risk across Morgan Stanley products.
Responsibilities
Independently execute end-to-end model development, including technical documentation.
Develop and evaluate models for highly imbalanced, non-stationary, and adversarial environments where fraud patterns, customer behaviour, and operational processes evolve over time.
Apply statistical and mathematical principles to model selection, validation, and performance assessment, including the treatment of class imbalance, overfitting, data leakage, missing data, and model stability.
Monitor deployed models, diagnose performance degradation, assess emerging fraud patterns, and recommend recalibration, redevelopment, threshold changes, or retirement as appropriate.
Provide technical guidance and mentoring to junior Data Scientists and Data Engineers.
Execute market making activities and provide continuous liquidity for HKEX government bond futures while developing and maintaining quantitative models for pricing, statistical arbitrage, and hedging strategies.
Responsibilities
Execute market making activities and provide continuous liquidity for HKEX government bond futures
Develop, enhance, and maintain quantitative models for pricing, statistical arbitrage, and hedging strategies
Conduct market data analysis and volatility research to continuously optimize trading algorithms and execution strategies
Monitor and manage multi-dimensional portfolio risk exposures
Implement automated hedging strategies and oversee daily position management
Requirements
Master's or PhD degree in Finance, Mathematics, Computer Science, Physics, or related quantitative fields
The role involves working on a diverse range of transport modelling and appraisal projects for major UK clients, taking responsibility for modelling workstreams using data, automation and emerging technologies like AI.
Taking responsibility for the development and application of strategic multi-modal transport models
Planning and coordinating modelling activities including data analysis, model development, calibration, validation, forecasting, scenario testing and appraisal
Analysing and interpreting model outputs to provide evidence for transport strategies, business cases and scheme assessments
Reviewing technical outputs against relevant guidance, quality requirements and industry best practice
Developing and applying data analysis, scripting and automation to improve modelling processes, quality assurance and reproducibility
Requirements
Relevant numerical or analytical qualification, or equivalent relevant experience
Research Associate - National Center for Computational Hydroscience and Engineering (NCCHE)University of Mississippi (Ole Miss) · University, US
Project EngineerWood Rodgers · San Diego, US
CFD and Multiphysics Modeling EngineerQnity · Wilmington, US
Senior Transport ModellerMott MacDonald · Liverpool, United Kingdom+8 more