Instructor Modeling Job Description Sample

This individual will be responsible for developing, testing and maintaining statistical and machine learning models for fraud detection. The role focuses on understanding the historical patterns and building accurate and robust fraud models.

ACCOUNTABILITIES

DEVELOP COMPLEX DATA/STATISTICAL MODELS

• Builds complex statistical and machine learning models at various touchpoints - new accounts and point of sale

• Creates and evaluates various data sources and variables to help build superior models

• Advocates best practices from data science community to help capture new fraud vectors

• Partners with IT team in designing and implementing data management, and implementing new initiatives

• Generates insights and drives measurable results from insights derived by advanced data analytics

• Identifies continuous improvements, driving key business metrics in assigned business functional areas

ADDENDUM

ADVANCED ANALYTICS ANALYST – ID THEFT MODELING AND STRATEGY

• Partners closely with strategic thought partners across the company to design and develop statistical and machine learning models

• Supports specific strategic initiatives both in road-mapping and in execution

• Analyzes data, identifying new strategies and opportunities for future initiatives

• Designs and executes an statistical approach to drive insight, recommendations, and action for strategic initiatives

QUALIFICATIONS

REQUIRED

• Bachelor's Degree is required in Statistics, Computer Science, Mathematics, Operations Research or Engineering

• Has 2-3 years of experience in data science, applied mathematics and/or IT experience

• Working experience and knowledge of any statistical/analytical/big data languages (SAS, R, Python, Spark, Hive)

• Proven ability to apply cutting-edge statistical techniques to large, complex data sets in order to solve business problems

• Strong analytical and problem solving skills

• Experience with key analytics methods (e.g., machine learning, link analysis, predictive modeling, unstructured data analysis)

• Effective verbal and written communications skills

PREFERRED

• A Graduate Degree in Statistics, Computer Science, Mathematics, Operations Research, Engineering

• Retail or credit card industry experience

Product Modeling Analyst

Salary: mid-$60,000s - $70,000 / year

We know you know GEICO. But you should get to know us for great careers, too. And, right now, we're looking for a Product Modeling Analyst to start a GEICO career in Chevy Chase, MD. This is your opportunity to apply new modeling techniques, devise new metrics, and tackle complex questions that we have never tried to answer before.

At GEICO, it's not just a job, it's growth and opportunity.

There's one thing our associates all have in common: they found a career they never expected. With coaching and mentoring, you will find your position as a Product Modeling Analyst can become a career in the most unexpected and rewarding ways.

• Our GEICO Product Modeling Analysts earn a starting annual salary between the mid-$60,000s - $70,000 / year

• Solve challenging problems using large datasets and see the impact of your work come to fruition

"I like problem solving and brainstorming innovative solutions. There are so many opportunities to analyze data sets and make recommendations for improving GEICO's efficiency and effectiveness" Jeff W., GEICO Associate since 2015

Get ready to join a company you can believe in and work alongside a team of associates who care.Leading the analysis and recommendations to help design innovative product and business solutions, you will:

• Apply data-mining, statistical and advanced modeling techniques

• Identify customer risk profiles, model shopping behavior, identify potential underwriting fraud and evaluate new data sources

• Integrate predictive models into analytical tools for non-technical end users

• Make recommendations to senior management and collaborate on multiple projects with IT, product specialists and actuaries

We are looking for people with results they are proud of, such as:

• Bachelor's degree with a minimum 3.0 undergraduate GPA; graduate degrees are encouraged

• Demonstrated ability in mathematical, statistical, financial or economic analyses on large, complex datasets

• Familiarity with multivariate classification and regression techniques; experience with GLMs, tree-based ensembles, and/or neural networks a plus

• Programming skills, such as R, Python, SQL, SAS, Stata or similar, and demonstrated ability to learn new tools

• Excellent interpersonal and communication skills

• Advanced quantitative and qualitative problem solving skills

• Ability to focus on details and work under deadlines

About benefits:

As a full-time GEICO associate, you'll be offered a comprehensive Total Rewards Program with a wide range of benefits. We said it's more than a job! Our benefits ensure a long-lasting career with us as your personal life and needs change.

About our location:

This position is based in Chevy Chase, MD. Get to know a little more about our location here and find out what makes working here pleasantly unexpected for our associates.

GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers.

#LI-LJ1

What Your Job Will Be Like

We are seeking an R&D Electrical Engineer for our Weapon Electrical Modeling department to develop and exercise high-fidelity electrical system models.

Are you passionate about your work and dream of utilizing state-of-the-art facilities to explore solutions? Do you want to join a dynamic team that helps tackle some the most challenging issues facing our nation's security? If so, keep reading about the opportunity we have below.

We address a range of challenging technical issues associated with assuring performance and safety goals across nuclear weapons programs. Regular responsibilities include developing device and circuit models, conducting simulations on Sandia's high performance computing clusters, validating results against specifications and test results, and reporting to customers. In selected, you will work on several projects simultaneously while in a teaming environment. Opportunities exist to work with either electromagnetic effects analysts, in-house code developers, or to pursue development/application of innovative modeling and analysis techniques.

You may also work on projects that consist of the following:

• Conducting simulations on large multi-node, UNIX based computational platforms for the characterization of circuit performance and the determination of circuit sensitivities and uncertainty quantifications

• Developing and simulating analog, or digital, or mixed mode circuit models

• Developing a detailed understanding of customer requirements and verifying electrical devices, subsystems, and systems performance to those requirements

• Working closely with systems engineers, designers, and testers to create models and analyze, validate, and report result

Qualifications We Require

• Master's degree in Electrical Engineering

• Analog circuit design and modeling experience

Qualifications We Desire

• Experience with circuit simulation software (e.g. SPICE, PSpice, Xyce).

• Experience using UNIX operating systems and/or High Performance Computing clusters.

• Experience in the application of statistics to simulation results and analysis.

• Proficiency in a high-level programming language (e.g. C/C++, Matlab, Python).

• Knowledge of electromagnetic coupling and propagation analysis techniques.

• Knowledge of Nuclear Weapons systems

• Good verbal and written communication skills

• Demonstrated experience with teaming for results

About Our Team

We analyze complex electrical circuit behavior for a variety of performance, safety, sensitivity, aging, or environmental issues. We work with multiple teams, mostly internal to Sandia, responsible for designing or maintaining electrical components or subsystems of high consequence systems. Our staff is comprised mainly of Master's-level and PhD-level electrical engineers who use modeling and simulation to assure that electrical system designs and products meet stringent requirements that include temperature extremes and radiation environments. In certain cases, we investigate why these systems deviate from expected behavior or requirements. Our analysis capability includes the effects of electromagnetic environments, such as lightning, electrostatic discharge, and electromagnetic radiation (EMR), on the safety and performance of complex systems, including facilities.

About Sandia

Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:

• Challenging work with amazing impact that contributes to security, peace, and freedom worldwide

• Extraordinary co-workers

• Some of the best tools, equipment, and research facilities in the world

• Career advancement and enrichment opportunities

• Flexible schedules, generous vacations, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov

• These benefits vary by job classification.

Security Clearance

Position requires a Department of Energy (DOE) Q-level security clearance.

Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment must be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.

Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.

EEO

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

About the Team

The Capital Management Unit manages the capital position of Mizuho Americas LLC and its major subsidiaries. The Unit is responsible for a comprehensive capital management framework that incorporates setting targets, monitoring/managing current capital levels and performing firm-wide stress testing in partnership with the Risk Management department and key front office personnel.

Summary

Mizuho Americas LLC seeks a quantitatively oriented individual to join its Capital Management Unit as a Vice President –Capital Management and Financial Forecasting. The Vice President will play an active and integral role in (i) implementing and maintaining a prudent and commercially appropriate capital position that supports Mizuho's business operations, (ii) contributing to various firm-wide internal stress testing and forecasting initiatives, (iii) monitoring the firm's current capital position in line with Mizuho's stated internal goals and regulatory requirements, and (iv) addressing related ad hoc analyses as they arise.

Responsibilities

Successful candidates will be expected to take an ownership role in, or actively contribute to the following activities:

• Implementing and enhancing the firm's current capital management practices;

• Monitoring and assisting in the management of Mizuho's capital position and those of its subsidiary entities;

• Assuming primary responsibility for enhancing and maintaining certain quantitatively based financial forecasting approaches (SAS & Microsoft Excel based) in partnership with front office personnel.

• Reviewing historical data to identify primary economic and financial drivers influencing results and discussing modeled results and findings with senior Mizuho personnel;

• Evaluating historical data to identify adjustments for outliers and accounting events and manage data within the current data architecture;

• Documenting financial forecasting models in accordance with Federal Reserve SR 11-7 requirements

• Addressing Model Validation/Internal Audit requests and findings;

• Serving as a subject matter expert in a non-managerial role; and

• Contributing to other initiatives that may arise on an ad hoc basis.

Qualifications

• 4-8 years of relevant work experience in the financial services industry;

• Advanced fluency with bank financial and accounting concepts;

• Significant knowledge and experience with Microsoft Excel, SAS and SQL in a business environment;

• Robust understanding of statistical concepts, regression-based forecasting models and time series analysis;

• A high level of flexibility and a strong willingness to fulfill team goals in an environment of changing conditions and deadlines;

• Detail oriented and able to work independently to produce high quality work products with limited managerial oversight;

• Ability to effectively analyze large data sets and identify patterns and insights;

• Good communication skills (presentation and written) with an ability to explain underlying drivers and key takeaways from modeled data outputs to technical and non-technical audiences;

• Candidates with a bachelor's degree in areas such as Statistics, Financial Engineering, Econometrics, Mathematics, Finance, or other advanced quantitative field. Masters considered a plus;

• Preference for PPNR and balance modeling experience obtained in a capital stress testing function or other modeling experience from a risk management function gained through direct employment at one of the following: i) a firm supervised by the Federal Reserve that is subject to CCAR requirements; ii) a financial institution supervised in accordance with Dodd-Frank stress testing (DFAST) requirements; and iii) a Big 4 or strategy consulting firm providing services to clients in the preceding categories; and

• Eligible to work in the U.S.

Company Overview

Mizuho Americas is a leading financial institution comprising several legal entities, which together offer clients corporate and investment banking, financing, securities, treasury services, asset management, research and more. Mizuho's operations in the Americas connect a broad client base of major corporations, financial institutions and public sector groups to local markets and a vast global network. Mizuho Americas is an integral part of the Japan-based Mizuho Financial Group, Inc. (NYSE: MFG), which is comprised of offices in nearly 40 countries, approximately 60,000 employees, and assets of more than USD 1.8 trillion. Learn more at mizuhoamericas.com.

Mizuho Bank Ltd. offers a competitive total rewards package.

We are an EEO/AA Employer - M/F/Disability/Veteran.

We participate in the E-Verify program.

We maintain a drug-free workplace and perform pre-employment substance abuse testing.

What Your Job Will Be Like

We are seeking multiple Postdoctoral Appointees who will work on the development of the next generation DOE climate model. One post doc position will focus on developing algorithms for coupling different components of the climate model (e.g. ocean and atmosphere) and on developing and implementing methods for modeling the ice sheets dynamics. Additional positions are available to aid in the algorithm and software aspects of the development of a cloud-resolving atmosphere model to achieve correctness, robustness, and performance on new and future HPC platforms including GPU-based architectures. These roles offer the opportunity to join a diverse, world-class team of computational mathematicians, software engineers and climate scientists. These efforts are supported by the DOE E3SM project, by the DOE SciDAC-BER partnership projects CANGA and ProSPect, and the DOE ECP application project on developing a cloud-resolving atmosphere model.

On any given day, you may be called on to:

• Support collaborative efforts developing robust and accurate computational formulations for multi-physics problems arising in climate modeling

• Perform software development using programming models such as Kokkos and task-based models

• Perform mathematical analysis of relevant numerical algorithms and collaborate on research papers, reports and presentations

This position requires some travel (2-3 times per year).

Qualifications We Require

• PhD in mathematics, physics, engineering, computer science, or a related area. PhD must have been conferred within five years prior to employment

• Experience with numerical methods for solving partial differential equations (PDEs), such as finite element methods and compatible discretization methods

• A solid understanding of theoretical foundations for numerical PDEs such as calculus of variations, functional analysis, saddle-point problems, and approximation theory.

• Experience with software development in C++ on HPC architectures

• Evidence of strong research achievements in relevant technical areas as demonstrated in the form of technical publications, presentations, software tools, and/or knowledge of applications

Qualifications We Desire

• Experience with modeling climate components (atmosphere, ocean, cryosphere, ...)

• Experience with solving coupled nonlinear partial differential equations

• Experience with contact problems, fluid-structure interaction and level set or phase field methods

• Experience with optimization and uncertainty quantification problems

• Experience in developing HPC software that is portable to different architectures (CPU, GPUs, ...)

• Demonstrated proficiency with scientific software development for high performance computing, including familiarity with task based and manycore programming models

• Experience in a collaborative research environment on problems comprising diverse application domains

• Excellent communication skills

• Able to obtain and maintain a DOE security clearance

Position Information

This postdoctoral position is a temporary position for up to one year, which may be renewed at Sandia's discretion up to five additional years. The PhD must have been conferred within five years prior to employment.

Individuals in postdoctoral positions may bid on regular Sandia positions as internal candidates, and in some cases may be converted to regular career positions during their term if warranted by ongoing operational needs, continuing availability of funds, and satisfactory job performance.

About Our Team

The Computational Mathematics Department (01442) and Computational Science Department (1446) conduct research in computational and applied mathematics motivated by science and engineering applications of interest to Sandia National Laboratories and the U.S. Department of Energy. Members of the department interact and collaborate with a broad range of Sandia and DOE staff and also maintain a research presence in the external professional community by collaborating with universities and industry, publishing peer-reviewed literature, participating in professional societies, and refereeing and editing for journals.

About Sandia

Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:

• Challenging work with amazing impact that contributes to security, peace, and freedom worldwide

• Extraordinary co-workers

• Some of the best tools, equipment, and research facilities in the world

• Career advancement and enrichment opportunities

• Flexible schedules, generous vacations, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov

• These benefits vary by job classification.

Security Clearance

This position does not currently require a Department of Energy (DOE) security clearance.

Sandia will conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Furthermore, employees in New Mexico must pass a U.S. Air Force background screen for access to Kirtland Air Force Base. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause access to be denied or terminated, resulting in the inability to perform the duties assigned and subsequent termination of employment.

If hired without a clearance and it subsequently becomes necessary to obtain and maintain one for the position, or you bid on positions that require a DOE security clearance, a pre-processing background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications may be conducted prior to a required federal background investigation. Applicants for a DOE security clearance must be U.S. citizens. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.

EEO

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Willbrook Solutions Inc is an Equal Opportunity Employer

EOE AA M/F/Vet/Disability

Job Requisition Number: 1005900

Job Title: GME System Architecture Modeling Engineer (Contingent on Contract Award)

Labor Location: Huntsville, AL

POSITION DESCRIPTION:

Support Ground-Based Midcourse Defense (GMD) System Engineering and Integration (GME) by developing system architecture products in support of current and future GMD Homeland defense system architecture functionality. Participate in Architecture Working Groups (AWGs) and other engineering working groups with stakeholders from Prime Contractor(s), MDA Systems Engineering, GM Systems Engineering and other MDA organizations to resolve and document system architecture design, perform requirement gap analysis using the system architecture model, and incorporate additional functionality impacting the existing system architecture model. Develop Architecture Design Description (ADD), Operations Concept (OPSCON), Concept of Operations (CONOPS) architecture products, and develop decision briefings and coordinate cost and schedule impacts for incorporation of proposed system architecture changes.

REQUIRED SKILLS AND QUALIFICATIONS:

The candidate must have BMD system engineering and integration background. Experience developing and maintaining Model Based Systems Engineering products. Experience with the GMD Fire Control (i.e., battle management, command, control, and communications), Ground Based Interceptor (GBI), Kill Vehicle (KV), MDA Radar Systems, Command Control Battle Management and Communications (C2BMC), or Overhead Persistent Infrared (OPIR) assets. Must work effectively with other systems engineers and with external organizations in an Integrated Product Team environment. The candidate must have ability to develop solutions to a wide range of complex system-of-systems technical problems that require ingenuity, innovation and collaboration with multiple stakeholders, ability to manage and support multiple tasks simultaneously, and ability to develop, document, and maintain system architecture models.

The candidate must also have strong coordination, organization, oral and written communication skills. Working knowledge of SysML within a MBSE environment to develop system architecture models. Familiarity with Department of Defense Architecture Framework (DoDAF) diagrams. Travel less than 10%.

EDUCATION AND EXPERIENCE REQUIREMENTS:

• Bachelors of Science degree in a science, math or engineering discipline

• Medium to advanced proficiency with IBM Rational Rhapsody Modeling Tools

• Ability to develop new system architecture modeling tools

• 5+ years of engineering experience in aerospace/defense industry

• 3+ years of experience on GMD Program

• Familiarity with GMD components (GFC, GBI, EKV), sensors, C2BMC and interfaces

SECURITY REQUIREMENTS:

• Active Secret Clearance required

This individual will be responsible for developing, testing and maintaining statistical and machine learning models for fraud detection. The role focuses on understanding the historical patterns and building accurate and robust fraud models.

ACCOUNTABILITIES

DEVELOP COMPLEX DATA/STATISTICAL MODELS

• Builds complex statistical and machine learning models at various touchpoints - new accounts and point of sale

• Creates and evaluates various data sources and variables to help build superior models

• Advocates best practices from data science community to help capture new fraud vectors

• Partners with IT team in designing and implementing data management, and implementing new initiatives

• Generates insights and drives measurable results from insights derived by advanced data analytics

• Identifies continuous improvements, driving key business metrics in assigned business functional areas

ADDENDUM

ADVANCED ANALYTICS ANALYST – ID THEFT MODELING AND STRATEGY

• Partners closely with strategic thought partners across the company to design and develop statistical and machine learning models

• Supports specific strategic initiatives both in road-mapping and in execution

• Analyzes data, identifying new strategies and opportunities for future initiatives

• Designs and executes an statistical approach to drive insight, recommendations, and action for strategic initiatives

QUALIFICATIONS

REQUIRED

• Bachelor's Degree is required in Statistics, Computer Science, Mathematics, Operations Research or Engineering

• Has 2-3 years of experience in data science, applied mathematics and/or IT experience

• Working experience and knowledge of any statistical/analytical/big data languages (SAS, R, Python, Spark, Hive)

• Proven ability to apply cutting-edge statistical techniques to large, complex data sets in order to solve business problems

• Strong analytical and problem solving skills

• Experience with key analytics methods (e.g., machine learning, link analysis, predictive modeling, unstructured data analysis)

• Effective verbal and written communications skills

PREFERRED

• A Graduate Degree in Statistics, Computer Science, Mathematics, Operations Research, Engineering

• Retail or credit card industry experience

SAICis seeking experienced professionals to join the National Security CustomerGroup (NSCG). NSCG provides specialized program management, engineering,analysis and operations support to a variety of Intelligence Community (IC) and

Department of Defense (DoD) customers. We support the generation after next ofnational security-related systems based in space, in the air and on the ground.

NSCGhas an opening to provide Systems Engineering and Technical Advisor (SETA) technicaladvisory services to conduct verification and validation of Modeling &Simulation Software Tools for exciting new missions for a GovernmentIntelligence Community (IC) customer. The customer is developing the next-generationof space and ground systems architectures, hardware and software solutions.

Responsibilitiesinclude but are not limited to:

• Support government administrative review of Modeling& Simulation (M&S) Tools of interest to the government client

• Perform verification and validation tasks of M&STools

• Perform simulation runs using M&S tools to providetechnical insight desired by the government client

• Communicate with technical teams and stakeholders toensure that M&S tool development is progressing well and addressingrequirements

• Facilitate solutions for the archiving of results anddevelop techniques that make models and tools available to futuretechnical efforts

• Ensure research and development (R&D) efforts areplanned and conducted on a sound engineering basis including management oftechnical risks

• Review and assess development activities of contractorsand Government labs

• Develop documents and briefings to communicate work orstudy status, brief government and industry as required

• Bachelor degree in engineering, science, or relateddisciplines

• Minimum of 5 years of related experience with aBachelor degree or at least 3 years of related experience with a Masterdegree

• Experience with performing simulation runs with M&Sengineering tools

• Experience with schedule, technical, and risk aspectsof space systems and/or ground systems

• Working knowledge of MS Office applications

• Aptitude for on-site SETA work

• Effective customer engagement, interpersonalcommunications, writing, and briefing skills

• Demonstrated ability to work in a fast paced, dynamic,and team environment

• Active TS/SCI with CI Poly

Job Information

Job Title: Advanced Manufacturing Modeling Postdoctoral Research Associate

Org: Fuel Modeling & Simulation

Contact: Jessica.Dixon@inl.gov

Work Location: Idaho Falls, ID (Town, Work Schedule - 9X80's)

Mission/Vision Statement

Empowering the Nation's Energy Future

Mission: Discover, demonstrate and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure.

Vision: INL will change the world's energy future and secure our critical infrastructure.

Responsibilities

Idaho National Laboratory (INL) is seeking a Postdoctoral Research Associate in the areas of advanced manufacturing and materials.

In this position, you will perform computational modeling and simulation work to support the recently acquired INL Plasma Jet Printer and Laser Engineered Net Shaping system, as well as the assist the development of behavior models for nuclear graphite components. In particular, this position will require you to interface between computational and experimental groups to ensure the success of these programs.

Expertise in modeling techniques, particularly either finite element analysis or molecular dynamics, as well as a desire to learn and gain expertise in other modeling techniques is expected. It is expected that you will be capable in coordinating work and collaborating with partners from other research groups and directorates within Idaho National Laboratory, as well as expanding the work beyond the initial projects through collaboration and efforts to secure additional funding for projects.

You will be expected to:

• Interface between computational and experimental members of the team

• Assist in managing INL university subcontracts related to simulation/modeling of printed material using jetting processes

• Collaborate with a team to determine the connections between process control parameters and printed material defects and properties

• Apply standard procedures and develop new procedures for tasks related to the projects

• Work with the Work Package Manage, as well as other scientists and engineers in the programs

• Pursue funding opportunities to expand the work beyond the initial scope of the programs

Required Qualifications:

• PhD in Materials Science, Mechanical Engineering, or related discipline (to be completed prior to commencement of appointment and within the previous 5 years)

• Expertise in computational materials science, with emphasis on either finite element techniques or molecular dynamics

• Demonstrate oral and written communication skills in the English language

Desired Qualifications:

• Experience with modeling structural material response and behavior under extreme conditions

• Experience working with experimental research and incorporating experimental results into computational models

• Familiarity with process control and control theory

• Familiarity with material characteristics and properties (metals, ceramics (particularly graphite) and/or piezoelectric materials)

Special Requirements and/or Training:

Appreciable knowledge of numerical methods, computational science, scientific computing, and scientific software engineering. Ability to organize activities relative to work package scope, deliverables, and milestones.

Demonstrated ability to collaborate productively with others. Demonstrated ability to conceive and execute computational mechanics research; excellent technical writing and oral communication.

Selective Service Requirements

To be eligible for employment at INL males born after December 31, 1959 must have registered with the Selective Service System (SSS). This includes U.S. born and naturalized citizens, parolees, undocumented immigrants, legal permanent residents, asylum seekers, refugees, and all males with visas of any kind which expired more than 30 days ago. The few individuals who are exempt from this requirement are those on current non-immigrant visas. For more information see www.sss.gov.

Employee Job Functions

Employee Job Functions are physical actions and/or working conditions associated with the position. These functions may also constitute essential functions for the job position which the employee must be able to fulfill, with or without accommodation.

Information provided below is to help describe the job so that the applicant has a reasonable understanding of the job duties/expectations. An applicant's ability to perform and/or tolerate these actions and conditions will be discussed and workplace accommodations may be made on a case-by-case basis following an individualized assessment of the applicant and other considerations, including but not limited to any governing safety standards.

Motor Abilities: Fine motor control (hands); Repetitive work - intermittent.

Special Senses: Visually demanding work; Near vision; Far vision; Depth perception; Basic color discrimination; Speech discrimination.

Work Conditions: Stairs; Typing/keyboard; >8 Hrs/day; Working alone.

Please Apply Before: February 24, 2019 (Midnight MST)

Environmental, Safety and Health Statement

Must be familiar with, and comply with all relevant health and safety requirements. Must be knowledgeable of emergency action policies and procedures, methods for reporting/resolving work practices or conditions to available cognizant professionals.

Other Information

When applying to positions please provide a resume and answer all questions on the following screens. Applicants, who fail to provide a resume or answer the questions, may be deemed ineligible for consideration.

INL Overview

INL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy's mission in nuclear energy research, science, and national defense. With more than 4,300 scientists, researchers and support staff, the laboratory works with national and international governments, universities and industry partners to discover new science and develop technologies that underpin the nation's nuclear and renewable energy, national security and environmental missions.

The Idaho Falls Area

Idaho Falls is conveniently situated near many national treasures such as Yellowstone National Park, Teton National Park, Jackson, WY, etc. For more information about the area, please visit www.visitidahofalls.com and www.visitidaho.org.

Equal Employment Opportunity

Idaho National Laboratory (INL) is an Equal Employment Opportunity (EEO) employer. It is the policy of INL to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.