Mathematical Technician Job Description Sample

Please note that this is a 75% part-time position.

UCSD Layoff from Career Appointment: Apply by 01/22/19 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.

Special Selection Applicants: Apply by 01/22/19. Eligible Special Selection clients should contact their Disability Counselor for assistance.

DESCRIPTION

Under supervision, the incumbent will assist PI with computational modeling. This position requires an individual trained in combinatorial mathematics, algebraic topology and neuroscience in order to model specific aspects of neural signaling and network information processing.

This is part of an on-going project that is developing a fundamentally novel machine learning architecture derived from neural signaling and neurophysiology. The candidate will be expected to assist with the theoretical modeling of relevant processes, and numerical (computational) testing and experimentation.

QUALIFICATIONS

• Demonstrated mathematical modeling experience.

• Expertise with algebraic topology.

• Expertise with graph theory and combinatorics.

• Demonstrated numerical modeling experience.

• Familiarity with neurophysiology.

• Extensive experience in programming with MATLAB. Experience in programming with python.

• Theoretical knowledge in computational modeling.

• Strong analytical and critical thinking skills to identify problems and develop innovative solutions and to compile, synthesize, and interpret data and results.

• Excellent interpersonal skills including tact and diplomacy and ability to work with a diverse group of people. Ability to work independently and cooperatively.

• Excellent organizational skills with demonstrated ability to prioritize assignments, maintain workflow, and work productively in meeting critical deadlines.

• A Bachelor's Degree in Bioengineering or related field; OR an equivalent combination of education and experience.

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The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation. For the complete University of California nondiscrimination and affirmative action policy see: http://www-hr.ucsd.edu/saa/nondiscr.html

UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information.

Job Description: Job Number: R0029496

Operations and Mathematical Modeling Research Analyst

Key Role:

Serve in the quantitative analysis field and work with senior staff to resolve a wide range of operations research (OR) issues. Develop solutions by demonstrating and applying expertise in OR. Analyze the refinement, design, and development of systems requirements, map input and output processes, capture relationships amongst parameters of complex systems, and develop measures of system health and performance. Develop predictive models of system performance and guide decision makers towards optimal design. Leverage modeling and measuring techniques, mathematics, statistical methods, engineering methods, operational mathematical techniques, and other principles and laws of scientific and economic disciplines in determining solutions.

Basic Qualifications:

• 4+ years of experience with quantitative analysis or modeling

• Experience with developing requirements for and building statistical or simulation models

• Experience with scripting or scientific languages, including Python, Java, C++, MATLAB, @RISK, ARENA, CPLEX, NETICA, EXTEND, or R

• TS/SCI clearance with a polygraph

• BA or BS degree in Operations Research, Engineering, Business Administration, Economics, Applied Mathematics, or Statistics

Additional Qualifications:

• Experience with FOSS and COTS products in statistics, Monte Carlo or discrete event simulation, ETL processes, and quantitative workflow automation

• Experience with Microsoft Office, including Excel and Access

• Ability to consult with non-technical audiences on technical problems, work in a highly collaborative, team-oriented environment, and balance long and short-term tasking

• Ability to take poorly defined problems and convert them into questions for which practical solutions can be defined

• Ability to exhibit flexibility, initiative, and innovation to succeed in an ambiguous and fast-paced environment to compose client deliverable quality documentation, analysis, and reports

• Ability to be detail-oriented and organized

• MA or MS degree preferred; PhD a plus

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

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Job ID
30000948

Favorite Job

Full/Part Time

Full-Time

Regular/Temporary

Regular

Responsibilities

NSA Overview

The professionals at the National Security Agency (NSA) have one common goal: to protect our nation. The mission requires a strong offense and a steadfast defense. The offense collects, processes, and disseminates intelligence information derived from foreign signals for intelligence and counterintelligence purposes. The defense prevents adversaries from gaining access to sensitive classified national security information.

At NSA, mathematics and statistics are core disciplines and are present in every aspect of the mission.

Mathematical Statisticians bring a wealth of expertise including, but not limited to, regression, machine learning, exploratory data analysis, stochastic processes, and statistical modeling and forecasting. They work on some of the hardest problems associated with signals intelligence (the interception, collection, and analysis of foreign signals) and cybersecurity (assuring confidentiality, integrity, and availability of information).

Mathematical Statisticians have the opportunity to learn and experiment in areas far from their academic training. These opportunities and core mission needs help make NSA the largest employer of mathematicians in the country.

Description of Position

NSA is actively seeking mathematical statisticians to join a vibrant community of mathematicians, statisticians, physicists, computer scientists, and other intelligence professionals.

Newly-hired mathematical statisticians begin their careers in the Mathematics Development Program (MDP). The goal of the three-year MDP is to train mathematical statisticians to be broadly knowledgeable in the spectrum of mathematical sciences used at NSA. To accomplish this goal, MDP members study cryptologic mathematics and related subjects in Agency taught classes and complete 6-month tours in diverse NSA offices. Graduates of the MDP may choose their first permanent assignments from any of the NSA Directorates, depending on availability.

The Agency is unique in its ability to offer the opportunity to work in diverse areas of Applied Statistics. In addition to cryptologic mathematics, statisticians work in:

• Signals analysis

• Data compression

• Machine learning

• Data science

• Human language technology

• Speech/image/video processing

• Analysis of communication networks

• Network vulnerability analysis

• Cybersecurity

Additionally, computing is an essential component of the mathematical sciences at NSA and statisticians must use a variety of computing platforms to test ideas and implement solutions. While there is no specific requirement for any previous programming or computing experience, a mathematical statistician must be willing to learn to use computers effectively.

Skills

Candidates should possess:

• Strong problem-solving and analytical abilities

• Desire for continual learning

• Ability to work effectively independently and within teams across functional areas

Knowledge and experience in one or more of the following is desired, but not required:

• Programming expertise

• Experience in the design, development, use, and evaluation of mathematics models, methods, and/or techniques (e.g., algorithm development) to study issues and solve problems

Qualifications

Salary Range: $69,545 - $86,659 (Entry/Developmental)

• The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.

Entry is with a Bachelor's degree and no experience. Degree in Mathematics, Physics, or Computer Science is preferred. Degree must include 2 years (which equates to approximately 24 credit hours) of advanced mathematics.

Experience in the design, development, use, and evaluation of mathematics models, methods, and/or techniques (e.g., algorithm development) to study issues and solve problems is desired.

Salary Range: $80,445 - $107,140 (Full Performance)

• The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.

Entry is with a Bachelor's degree plus 3 years of relevant experience or a Master's degree plus 1 year of relevant experience, or a Doctoral degree and no experience.

Degree in Mathematics, Physics, or Computer Science is preferred. Degree must include 2 years (which equates to approximately 24 credit hours) of advanced mathematics.

Relevant experience must be in the design, development, use, and evaluation of mathematics models, methods, and/or techniques (e.g., algorithm development) to study issues and solve problems.

Pay, Benefits, & Work Schedule

This is a full-time position, Monday through Friday.

How To Apply - External

To apply for this position, please click the 'Apply Now' button located at the top or bottom of this page. After completing the application and clicking the 'Submit Final' button, you will receive a confirmation email. Emails regarding your application status will be sent periodically. Please ensure your spam filters are configured to accept emails from noreply@nsa.gov.

In addition to an online application at www.intelligencecareers.gov, the following must be completed:

• Submission of a resume or CV to mathjobs@nsa.gov

• Submission of all college transcripts (including community college, if applicable) sent to mathjobs@nsa.gov.

Note: Transcripts can be unofficial or official.

Applications will not be fully considered until all of the documents are received.

If needed, the mailing address for official correspondence for the Mathematical Statistician application is:

National Security Agency
9800 Savage Road

Suite 6844

Ft. George G. Meade, MD 20755-6844

Attn: Math Hiring

• PLEASE NOTE:

U.S. Citizenship is required for all applicants. Reasonable accommodations provided to applicants with disabilities during the application and hiring process where appropriate. NSA is an equal opportunity employer and abides by applicable employment laws and regulations. All applicants and employees are subject to random drug testing in accordance with Executive Order 12564. Employment is contingent upon successful completion of a security background investigation and polygraph.

This position is a Defense Civilian Intelligence Personnel System (DCIPS) position in the Excepted Service under 10 U.S.C. 1601. DoD Components with DCIPS positions apply Veterans' Preference to eligible candidates as defined by Section 2108 of Title 5 USC, in accordance with the procedures provided in DoD Instruction 1400.25, Volume 2005, DCIPS Employment and Placement. If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you may be asked to submit documents verifying your eligibility.

Please note that you may or may not be asked a series of questions depending on the position you apply for. Your responses will be used as part of the screening process of your application and will assist in determining your eligibility for the position. Be sure to elaborate on experiences in your resume. Failure to provide the required information or providing inaccurate information will result in your application not being considered for this position. Only those applicants who meet the qualifications for the position will be contacted to begin employment processing.

Please Note: Job Posting could close earlier than the closing date due to sufficient number of applicants or position no longer available. We encourage you to apply as soon as possible.

DCIPS Disclaimer

The National Security Agency (NSA) is part of the DoD Intelligence Community Defense Civilian Intelligence Personnel System (DCIPS). All positions in the NSA are in the Excepted Services under 10 United States Codes (USC) 1601 appointment authority.

• Duties

HelpDuties Summary

This vacancy is for multiple Mathematical Statistician positions located at the U.S. Census Bureau headquarters in Suitland, Maryland.

This Job Opportunity Announcement may be used to fill other Mathematical Statistician, 1529, 7/9/11, FPL 12 positions within the Census Bureau in the same geographical location with the same qualifications and specialized experience.

Learn more about this agency

Responsibilities

• Develop and implement sound statistical methods.

• Prepare and disseminate technical documentation of work.

• Lead teams to complete statistical projects.

• Design, plan, and implement production, research and evaluation projects for surveys and/orcensus activities.

Travel Required

Not required

Supervisory status

No

Promotion Potential
12

• Job family (Series)
  1529 Mathematical Statistics

Similar jobs

• Statisticians

• Requirements

HelpRequirements Conditions of Employment

• You must be a U.S. Citizen.

• You must successfully complete a background investigation.

• You may be required to complete a Financial Disclosure (OGE-450).

• A one-year probationary period may be required.

• You must sign a Pathways Agreement.

Applicants must meet all education requirements within 9 months from the date of application. However, education requirements must be completed before the applicant can be appointed.

The Census Bureau is seeking bright, innovative, results-oriented individuals to join our Recent Graduates Program (RGP). The Recent Graduate Program is a one-year program that targets individuals who have recently graduated from qualifying educational institutions or programs. Successful applicants will be placed in a dynamic, one-year career development program. Throughout the program, you will participate in formal training, job assignments and receive a mentor to develop competencies applicable to the Census Bureau's mission and needs. These positions are at the grade 7/9/11 entry levels, with an opportunity for permanent appointment upon successful completion of the program.

To be eligible for conversion to a permanent or term position, Recent Graduates must:

• Successfully completed at least 1-year of continuous service in addition to all requirements of the Program.

• Demonstrate successful job performance.

• Meet the Office of Personnel Management's qualifications for the position to which the Recent Graduate will be converted.

This position is in the excepted service.

This is a bargaining unit position.

This position is eligible for telework; additional criteria will be required (e.g., supervisory approval).

Relocation expenses may be paid.

A probationary period may be required. If non-competitively converted, the time spent as a Recent Graduate will count towards the probationary period.

Qualifications

MINIMUM QUALIFICATION REQUIREMENTS:

Basic Entry Requirements for All Grade Levels:

You must be a Recent College Graduates from qualifying institutions within two years of degree or certification (Veterans precluded by their military service obligation, will have up to six years to apply).

Applicants must meet all education requirements within 9 months from the date of application. However, education requirements must be completed before the applicant can be appointed. Graduation / expected graduation date MUST be indicated on your resume.

Degree: that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics.

OR

Combination of education and experience: at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as shown in A above, plus appropriate experience or additional education.

Evaluation of Education:

Courses acceptable toward meeting the mathematics course requirement of paragraphs A or B above must have included at least four of the following: differential calculus, integral calculus, advanced calculus, theory of equations, vector analysis, advanced algebra, linear algebra, mathematical logic, differential equations, or any other advanced course in mathematics for which one of these was a prerequisite. Courses in mathematical statistics or probability theory with a prerequisite of elementary calculus or more advanced courses will be accepted toward meeting the mathematics requirements, with the provision that the same course cannot be counted toward both the mathematics and the statistics requirement.

Applicants must meet all education requirements within 9 months from the date of application. However, education requirements must be completed before the applicant can be appointed.

Evaluation of Experience:

The experience offered in combination with educational courses to meet the requirements in paragraph B above should include evidence of statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying known statistical techniques to data such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance. Without other indications of statistical experience, work required in the processing of numerical or quantified information by other than statistical methods is not considered appropriate qualifying experience. Examples of such nonqualifying work include statistical clerical work; statistical drafting; Requirements calculation of totals, averages, percentages, or other arithmetic summations; preparation of simple tables or charts; or verification of data by simple comparison or proofreading.

MINIMUM GRADE REQUIREMENTS:

Specialized Experience: For the GS-07 you must have one year of experience at a level of difficulty and responsibility equivalent to the GS-05 in the Federal service. Experience for this position includes: Applying or using standard statistical methods and analyses found in college textbooks; using statistical analysis software to assist with researching, implementing, or evaluating statistical methods; assisting in planning surveys; assisting in developing a portion of a report using statistical analysis.

OR

Education: 1 year of graduate-level education or superior academic achievement (S.A.A.)

S.A.A. is based on (1) class standing, (2) grade-point average, or (3) honor society membership.
1.Class standing -- Applicants must be in the upper third of the graduating class in the college, university, or major subdivision, such as the College of Liberal Arts or the School of Business Administration, based on completed courses.
2.Grade-point average (G.P.A.)-- Applicants must have a grade-point average of:

a. 3.0 or higher out of a possible 4.0 ("B" or better) as recorded on their official transcript, or as computed based on 4 years of education, or as computed based on courses completed during the final 2 years of the curriculum;

or

b. 3.5 or higher out of a possible 4.0 ("B+" or better) based on the average of the required courses completed in the major field or the required courses in the major field completed during the final 2 years of the curriculum.
3.Election to membership in a national scholastic honor society

Specialized Experience: For the GS-09, you must have one year of experience at a level of difficulty and responsibility equivalent to the GS-07 in the Federal service. Experience for this position includes: Applying or using standard statistical methods and analyses found in college textbooks to real survey data; using statistical analysis software to research, implement, or evaluate statistical methods; assisting in planning surveys or in statistical consulting; developing a report on statistical analysis; performing statistical work in a real-world setting, such as: sample design and estimation for finite populations, editing, handling missing data, outlier detection, seasonal adjustment, benchmarking, disclosure avoidance, design and analysis of experiments.

OR

Education: 2 years of progressively higher level graduate education leading to a master's degree or master's or equivalent graduate degree

Specialized Experience: For the GS-11, you must have one year of experience at a level of difficulty and responsibility equivalent to the GS-09 in the Federal service. Experience for this position includes: Applying statistical methods to carry out statistical analyses, or assume lead role in the development of technical reports or professional papers on socio/economic or demographic survey data or socio/economic or demographic administrative records or record systems; developing sample design and allocation studies, and establishing survey specifications and methodology; documenting analyses and conclusions in written and oral reports; coordinating a complexity of projects between different organizational units, sponsors, stakeholders, and data users.

OR

Education: 3 years of progressively higher level graduate education leading to a Ph.D. degree or Ph.D. or equivalent doctoral degree

NOTE: To show proof of meeting the Basic Entry Requirements, all applicants MUST submit a copy of their college transcripts. See the Required Documents section for more information.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer.

Education

• Duties

HelpDuties Summary

This position is located in the Operational Delivery and Performance organization (TOII), Internal Operations Management Office (TOI), Transmission System Operations (TO), Transmission Services (T), Bonneville Power Administration (BPA). The Organizational Delivery and Performance organization provides planning, scheduling and process delivery for all programs and initiatives critical to the safe and reliable operations of the Transmission System Operations organization and across BPA.

Learn more about this agency

Responsibilities

As a Mathematical Statistician or Statistician, you will:

Serve in a developmental capacity, as a mathematical statistician/statistician performing scientific work that involves developing and adapting mathematical methods and techniques to statistical processes to help translate data into information and to help identify and solve BPA transmission issues. Performs the following duties:
1.Apply practical knowledge of statistical concepts, applications, and tools to concepts, and tools to collect, organize, interpret, and summarize numerical data, to help translate data into information, and to help identify and solve BPA transmission issues.
2.Assist (GS-09) Develops (GS-11) and provides quantitative measures or indicators of system performance and/or quality to help improve performance. Uses conventional and unconventional indicators and display methods to provide value-added research for BPA.
3.Develop performance indicators to determine the optimum operation of the system. Assists in developing measurement tools to determine deviation from optimum performance.
4.Has a commitment to openness, transparency of data, processes, and results as they benefit a public-sector agency such as BPA.

Travel Required

Occasional travel

• Occasional travel is required to various BPA locations for meetings and/or training.

Supervisory status

No

Promotion Potential
12

• Job family (Series)
  1529 Mathematical Statistics
  1530 Statistics

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• Mathematical Statisticians

• Statisticians

• Statisticians, Mathematical

• Statisticians, Time Study

• Time Study Statisticians

• Requirements

HelpRequirements Conditions of Employment

• This employer participates in the e-Verify program.

• See "Other Information" section regarding Selective Service requirements.

To be eligible for the Recent Graduate program you must be a:

Recent graduate who has completed, within the previous two years, a qualifying associates, bachelors, masters, professional, doctorate, vocational or technical degree or certificate from a qualifying educational institution.

• OR-

Student who within nine months of the closing date of this announcement will meet the education requirements and will graduate with a qualifying associates, bachelors, masters, professional, doctorate, vocational or technical degree or certificate from a qualifying educational institution. A student may not be appointed to a position until they have graduated.

• OR-

Preference eligible veteran who was precluded from applying due to their military service obligation begin their two-year eligibility period upon release or discharge from active duty. Eligibility for these veterans cannot exceed six years after degree or certificate completion.

CONVERSION REQUIREMENTS:

BPA has the option to convert a Recent Graduate position to a permanent or term position upon successful completion of program requirements. This is not automatic, nor guaranteed. Conversion is at the discretion of the hiring manager and employing office.

To be eligible to be converted to permanent or term position you must:

• Be a US Citizen.

• Be recommended for conversion by your manager.

• Complete all training and development requirements within the 1-year appointment period.

• Successful completion of 1 year of continuous service.

• Have demonstrated successful job performance.

• Meet OPM qualification standard for the position to which you will be converted.

• A Recent Graduate may be converted to the highest General Schedule (GS) grade level qualified for at time of conversion.

OTHER REQUIREMENTS:

• When you apply you will be asked a series of questions to determine your eligibility for employment and your qualification for this position specifically. You must answer all of these questions completely and truthfully.

• A preliminary background check must be completed before a new employee can begin work. Current Federal employees or other individuals with an existing completed background investigation may not be required to undergo another background check.

• During your time as a Recent Graduate you may be required to do rotations within the organization.

Qualifications

BASIC EDUCATION REQUIREMENT

Mathematical Statistician:

A. Degree that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics.

• OR-

B. Combination of education and experience at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as shown in A above, plus appropriate experience or additional education.

Statistician:

A. Degree: that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.

• OR-

B.Combination of education and experience -- courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.

SPECIALIZED EXPERIENCE REQUIREMENTS

In addition to the meeting the Basic Requirements above, a qualified candidate's online application and resume must demonstrate at least one year of specialized experience.

GS-09: To qualify, you must have:

One year of specialized experience equivalent to the next lower grade (GS-07): Specialized experience is defined as applying basic mathematical, statistical, or financial theories, formulas, and computations to assist in the completion of projects or assignments. Examples of such experience are: analyzing and organizing data to support conclusions; tracking and analyzing data to forecast future outcomes; extracting relevant data from information technology management systems; developing reports or portions of reports summarizing data analyses.

• OR-

You may substitute education for specialized experience as follows:

Two years of progressively higher level graduate education leading to a master's degree, or master's, or equivalent graduate degree; your education must demonstrate the knowledge, skills, and abilities necessary to do the work. —OR—

Combination of education and experience as described above. Less than one year of specialized experience may be combined with graduate education in excess of the amount required for the next lower grade level (i.e., credit hours beyond the first year of full-time study may be credited).

GS-11: To qualify, you must have:

One year of specialized experience equivalent to the next lower grade (GS-09): Specialized experience is defined as applying a practical knowledge of mathematical or statistical concepts, applications, and tools to collect, organize, interpret, and summarize numerical data; and assist in translating data into information to help identify and solve organizational issues.

• OR-

You may substitute education for specialized experience as follows:

Three years of progressively higher level graduate education leading to a Ph.D. degree, or Ph.D., or equivalent doctoral degree; your education must demonstrate the knowledge, skills, and abilities necessary to do the work. —OR—

Combination of education and experience as described above. Less than one year of specialized experience may be combined with graduate education in excess of the amount required for the next lower grade level (i.e., credit hours beyond the first two years of full-time study may be credited).

Your application and resume should demonstrate that you possess the following knowledge, skills, abilities and competencies (KSACs). Do not provide a separate narrative written statement. Rather, you must describe in your application how your past work experience demonstrates that you possess the KSACs identified below. Cite specific examples of employment or experience contained in your resume and describe how this experience has prepared you to successfully perform the duties of this position.

(A) Mathematical Reasoning

• Solves practical problems by choosing appropriately from a variety of mathematical and statistical techniques

(B) Attention to Detail

• Is thorough when performing work and conscientious about attending to detail.

(C) Computer Skills

• Uses computers, software applications, databases, and automated systems to accomplish work.

(D) Oral Communication

• Expresses information (for example, ideas or facts) to individuals or groups effectively, taking into account the audience and nature of the information (for example, technical, sensitive, controversial); makes clear and convincing oral presentations; listens to others, attends to nonverbal cues, and responds appropriately.

(E) Writing

• Recognizes or uses correct English grammar, punctuation, and spelling; communicates information (for example, facts, ideas, or messages) in a succinct and organized manner; produces written information, which may include technical material, that is appropriate for the intended audience.

"Experience" refers to paid and unpaid experience. Examples of qualifying unpaid experience may include: volunteer work done through National Service programs (such as Peace Corps and AmeriCorps); as well as work for other community-based philanthropic and social organizations. Volunteer work helps build critical competencies, knowledge, and skills; and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

You must meet all qualifications and eligibility requirements by the closing date of this announcement.

Education

Education Requirements:

You must have a professional degree in Mathematics or Statistics.

For more information on how to meet the Basic Requirements please visit: Mathematical Statistics Series, 1529 and Statistics Series, 1530

Must submit transcripts with your application for proof of education and degree conferred date.

DO NOT email or mail in any of your application documents. Documents will not be accepted outside of the online application system.

This vacancy has a positive education requirement. In order to be rated as qualified, you must provide copies of your college transcripts. Failure to provide copies of your college transcripts MAY result in a rating of "Ineligible".

Education must be obtained from an accredited institution recognized by the U.S. Department of Education. Foreign education must be reviewed by an organization recognized by the U.S. Department of Education. For special instructions pertaining to foreign education and a list of organizations that can evaluate foreign education, see the Department of Education website.

• Duties

HelpDuties Summary

The mission of the United States Air Force is to fly, fight and win...in air, space and cyberspace. To achieve that mission, the Air Force has a vision of Global Vigilance, Reach and Power. That vision orbits around three core competencies: Developing Airmen, Technology-to-Warfighting and Integrating Operations. Core competencies and distinctive capabilities are based on a shared commitment to three core values -- integrity first, service before self, and excellence in all we do.

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Responsibilities

• he primary purpose of this position is to perform professional and scientific work requiring the design, development, and adaption of statistical modeling and analysis techniques.

• Exercises considerable originality in the formulation and development of new mathematical techniques and methods for computational application.

• Conducts studies and investigations on a individual basis in developing experimental methods, statistical and analytical techniques and mathematical models.

• Utilizes statistical methods in the support of development of mathematical models and computer programs to evaluate and predict the ability to support assigned projects, studies, or programs.

Travel Required

Occasional travel - You may be expected to travel for this position.

Supervisory status

No

Promotion Potential
15

• Job family (Series)
  1529 Mathematical Statistics

• Requirements

HelpRequirements Conditions of Employment

• U.S. Citizenship is required

• Males must be registered for Selective Service, see www.sss.gov

• Total salary varies depending on location of position

• PCS expenses if authorized will be paid IAW JTR and Air Force Regulations

• Recruitment incentives may be authorized

• This posn is subject to provisions of the DoD Priority Placement Program

• Position may be subject to random drug testing

• Employee may be required to work other than normal duty hours, to include evenings, weekends and/or holidays

• Shift work and emergency overtime may be required

• Employee must maintain current certifications

• Position may require an appropriate security clearance

• Disclosure of political appointee

• Per National Defense Authorization Act (NDAA) of fiscal year (FY) 2017. Section 1111 modifies 5 United States Code (U.S.C.) 3326; Veterans who are retiring within 180 days of appointment effective date may require a 180 day waiver package

Qualifications

BASIC REQUIREMENTS:

A degree that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics.

OR

A combination of education and experience, at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics.

SPECIALIZED EXPERIENCE:

GS-07: Successfully completed 1 year of specialized experience at the GS-05 grade level or equivalent under other pay systems in the Federal service. Examples of creditable specialized experience includes sampling, collecting, computing, and analyzing statistical data, and applying known statistical techniques to data such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.

GS-09: Successfully completed 1 year of specialized experience at the GS-07 grade level or equivalent under other pay systems in the Federal service. Examples of creditable specialized includes knowledge of theory and methods of professional mathematical statistics including the calculus of probability, sampling theory, theory of design of experiments, systematic methods of curve fitting, set theory, matrices, logic, math history, etc. to include ANOVA (or similar software), regression (linear, nonlinear and multiple), distributions (chi-squared, F, t, gamma, etc.) and significance testing.

GS-11: Successfully completed 1 year of specialized experience at the GS-09 grade level or equivalent under other pay systems in the Federal service. Examples of creditable specialized experience includes professional knowledge in making mathematical studies assessing the ability of the organization to meet the user requirements setting up criteria to determine when the network is approaching saturation.

GS-12: Successfully completed 1 year of specialized experience at the GS-11 grade level or equivalent under other pay systems in the Federal service. Examples of creditable specialized experience includes knowledge of metrics to insure the accuracy of the measurements and to effectively evaluate their precision and validity.

GS-13: Successfully completed 1 year of specialized experience at the GS-12 grade level or equivalent under other pay systems in the Federal service. Examples of creditable specialized experience includes extracting& organizing raw cost data under general direction from the team leader, conducting basic mathematical analysis of programs information, & assisting in the collection, developmental and implementation of cost related information.

GS-14: Successfully completed 1 year of specialized experience at the GS-13 grade level or equivalent under other pay systems in the Federal service. Examples of creditable specialized experience includes a broad range of operations research analysis assignments entailing unique problems, creativity, innovative use of techniques, advanced approaches, and/or new technologies. Utilizes scientific inquiry independent development of mathematical models and computer programs to evaluate, interpret, & analyze progress implementation diversity priorities identified in the Air Force Diversity Strategic Roadmap.

GS-15: Successfully completed 1 year of specialized experience at the GS-14 grade level or equivalent under other pay systems in the Federal service. Examples of creditable specialized experience includes applying scientific and analytical techniques to define, quantify, and evaluate feasibility of assigned projects, proposals, reports, studies or problems. A consultant and Air Force level technical expert to senior subject matter specialists and/or agency official program operations.

Click on the following link to view education and/or experience requirements for this position:

https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/#url=GS-PROF

Click on the following link to view occupational requirements for this position:

https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/mathematical-statistics-series-1529/

KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas:

• Professional knowledge in making mathematical studies assessing the ability of the organization to meet the users requirements setting up criteria to determine when the network is approaching saturation in coordination with the supervisor.

• Knowledge of theory and methods of professional mathematical statistics including the calculus of probability, sampling theory of design of experiments, systematic methods of curve fitting, set theory, matrices, logic, math history, etc. to include ANOVA (or similar software), regression (linear, nonlinear and multiple), distributions (Chi-squared, F, t, gamma, etc.) and significance testing.

• Knowledge of routine metrics to insure the accuracy of the measurements and to effectively evaluate their precision and validity.

• Skill in preparing studies to evaluate the impact of the loading with projected budget levels.

• Ability to successfully manipulate computers and software in order to perform the analysis of satellite launches, collision avoidance and Satellite Vehicles with conjunction assessments maneuvers and Radio Frequency Interference analysis including Government "standard" software office suite tools for word processing, development and editing of briefing charts analysis.

• Ability to participate on study teams and originate new ideas, projects and methodologies and write technical reports on finding of statistical investigations.

PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.

VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

Education

IF USING EDUCATION TO QUALIFY: You MUST provide transcripts to support your educational claims. Education must be accredited by an accrediting institution recognized by the U.S. Department of Education.

FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.

We are now looking for a Sr. CUDA Mathematical Libraries Engineer (Dense Linear Algebra).

NVIDIA is hiring software engineers for its GPU-accelerated high-performance computing (HPC) mathematical libraries team. Did you know these GPU accelerated mathematical libraries developed by NVIDIA are being used in a wide range of applications in scientific computing, engineering, and deep learning? Around the world, leading commercial and academic organizations are revolutionizing AI, scientific and engineering simulations, and data analytics, using data centers powered by GPUs. Applications include: healthcare, VR, deep learning, autonomous vehicles and countless others. If the idea of contributing to such state of the art research and development excites you, come join our dynamic team and help us build GPU accelerated software libraries which will be used by the entire world.

In this role you will be interacting and collaborating with internal stakeholders, industry professionals, the scientific community, and members of the open source software community to define and implement highly optimized new numerical and analytics algorithms. Your responsibilities include the design of public APIs, implementation of new algorithms, performance tuning and analysis, and other general software engineering work. You will need great interpersonal and communication skills and a strong focus on delivering high-quality and performance software.

What you'll be doing:

• Prototype, develop, and optimize dense linear algebra software for deep learning, data analytics, scientific research, and engineering applications that use high-performance computing.

• Analyze the performance of GPU or CPU implementations and find opportunities for improvements and implement them.

• Collaborate with internal and external partners to understand software use cases and requirements.

What we need to see:

• PhD or Masters degree in Computer Science, Applied Math, or related science or engineering field of study with 5+ years of experience.

• Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.

• Experience developing parallel numerical software libraries on HPC platforms using multi-threading and/or MPI.

• Deep understanding of dense linear algebra and computations in science, engineering, or deep learning.

• Ability to work independently, define project goals and scope, and manage your own development effort.

• Self-motivated and takes pride of quality of own work.

• Good teamwork, communication, and documentation habits.

Ways to stand out from the crowd:

• Strong fundamentals in algorithms.

• Prior experience with low level programming in assembly and performance tuning.

• GPU programming experience (CUDA or OpenCL) is a strong plus but not required.

• Good knowledge of CPU and/or GPU hardware architecture.

• A scripting language, preferably Python.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Instructor in Mathematical Sciences (Full-time Faculty)

Full-time Faculty Positions

Full-time faculty positions will be posted on a per-opening basis. Postings are organized by college/school and department. Applicants will be evaluated at the college/school level for the position which they are submitting an application. Unless noted by a close date, positions will remain open until they are filled. Qualified applicants are encouraged to apply.

Part-time Faculty Opportunities

DePaul University invites expressions of interest for a pool of qualified Part Time Faculty to teach courses in a variety of disciplines across all 10 colleges and schools. Individuals may enter expressions of interest by submitting their credentials to any posting for which they are qualified to teach. Postings are organized by college/school and department. Screening of individuals in the pool is ongoing, depending on curricular need and funding. Individuals will be contacted by the department if they reach the finalist stage for teaching a particular course or set of courses. The pool will remain in place until the closing date specified in the posting details; those interested in remaining in the pool beyond that time must resubmit. All individuals in the pool will be notified by email when the posting is closed.

EEO/AA STATEMENT

DePaul University is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, religion, sex, sexual orientation, gender identity, national origin, age, marital status, physical or mental disability, protected veteran status, genetic information or any other legally protected status, in accordance with applicable federal, state and local EEO laws. A copy of DePaul University's Safety and Security Information Report and Fire Safety Report is available upon request. The report includes statistics about crimes that occurred on campus and public property immediately adjacent to campus. The report includes institutional policies concerning campus security, sexual assault and other matters. It also includes fire statistics, fire safety practices and standards of the institution. A copy of this report can be obtained by contacting the Crime Prevention Office at 773-325-7775 or by visiting the DePaul Public Safety website at http://publicsafety.depaul.edu.

Below you will find the details for the posting including any supplementary documentation and questions you should review before applying for the opening or submitting your interest in teaching. To apply for the position, please click the Apply for this Job link/button.

If you would like to bookmark this posting for later review, click on the Bookmark link. If you would like to print a copy of this posting for your records, click on the Print Preview link.

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Posting Details

Classification Information

Rank Instructor Tenure Status

Position / Posting Information

Academic Year 2018-2019 Responsibilities

The Department of Mathematical Sciences at DePaul University invites applications for one full-time non-tenure track position starting January 1, 2019. This faculty appointment is for one academic year, but may be renewed for consecutive appointments. Applicants must have a PhD in mathematics or a closely related field.

The department seeks applicants who are strongly committed to teaching and to their ongoing development as educators. The teaching load is three courses per quarter, for a total of nine courses per academic year. DePaul University seeks applicants that reflect the diversity of its student body and the city of Chicago. Applicants who have experience working with a diverse range of faculty, staff, and students, and who can contribute to an inclusive climate are encouraged to identify their experiences in these areas. Women and members of historically underrepresented groups are especially encouraged to apply.

For full consideration, completed applications must be received by November 15, 2018, but the review process will continue until the position is filled. Applications should include a cover letter, a curriculum vitae, a teaching statement, and three letters of recommendation, at least one of which should provide documentation in support of teaching effectiveness. Applicants are also encouraged to supply additional evidence of teaching effectiveness, such as formal teaching evaluation summaries.

Required Qualifications

Ph.D. degree in Mathematics

Preferred Qualifications Posting Number Full-time Faculty 255Posting Close Date Open Until Filled Yes Special Instructions Summary

Applicant Documents

Required Documents

• CV

• Cover Letter

• Reference Contact Info

Optional Documents

• Teaching Evaluations

• Other Document

• Other Document Type 2

Supplemental Questions

Required fields are indicated with an asterisk (*).

• Do you have a Ph.D.?

• Yes

• No

• Please indicate in which field of study that you have attained your Ph.D.

(Open Ended Question)

• How did you hear about this employment opportunity?

• Public Job Posting

• Internal Job Posting

• Agency Referral

• Advertisement/Publication

• Personal Referral

• Website

• Other

With all the investments made in analytics, it's time to stop buying into partial solutions that overpromise and underdeliver. It's time to invest in answers. Only Teradata leverages all of the data, all of the time, so that customers can analyze anything, deploy anywhere, and deliver analytics that matter most to them. And we do it at scale, on-premises, in the Cloud, or anywhere in between.

We call this Pervasive Data Intelligence. It's the answer to the complexity, cost, and inadequacy of today's analytics. And it's the way Teradata transforms how businesses work and people live through the power of data throughout the world. Join us and help create the era of Pervasive Data Intelligence.

With all the expenditures made in analytics, it's time to stop buying into partial solutions that overpromise and underdeliver. It's time to invest in answers. Only Teradata leverages all of the data, all of the time, so customers can analyze anything, deploy anywhere, and deliver analytics that matter most to them. And we do it on-premises, in the Cloud, or anywhere in between, throughout the world. We call this pervasive data intelligence. It's the new way we transform how businesses work and people live through the power of data.

Our summer internship program lasts 10-12 weeks beginning in May/June and ending in August/September. Fast-paced, flexible, fun. The Teradata culture isn't just about one kind of person. So many individuals make up who we are, making us that much more unique. It's what sets apart the dynamic, diverse and collaborative environment that is Teradata.

Our Team

Teradata Labs is looking for candidates interested in solving next generation big data problems leveraging modern and open source tools and frameworks in combination with tried and true best-in-class technologies. Candidates will be a part of a team tasked with building the next generation of Unified Data Architecture technology. You will analyze large volumes of sensor data to discover new patterns and perform predictive analytics.

Your Opportunity

Teradata's Analytic Ecosystem team is seeking a graduate level Data Scientist intern to join our team

for the summer of 2019. This summer internship will focus on researching, building, and testing mathematical optimization techniques for choosing the best action mitigate the impact of adverse events impacting performance on larger-scale analytic platforms. As a member of our team, the candidate will work in collaboration with other members of the team to research, design, prototype, test and document novel algorithms and predictive analytics for automated, near real time decision making on telemetry data. You will have an opportunity to gain experience with massive datasets, which includes data integration, data cleansing, exploratory analysis, predictive modeling, and rapid prototyping.

You will also receive mentorship and career guidance from our interconnected Teradata Data Science Community who work in various capacities across the organization including internal projects, external projects, and consulting.

Qualifications/Requirements

• Must be enrolled in a MS/PhD degree program in Mathematics, Physics, Statistics, Operations Research, or other relevant discipline

• Graduating between December 2019 – June 2021

• At least a 3.5 GPA

• Extensive knowledge of statistics (exploratory analysis, modeling and theory), data mining, and in drawing conclusions from data

• Demonstrable experience of applying Mathematical Optimization to practical problems

• Experience using at least one scientific or statistical programming language such as Matlab, Octave, R, or Python (desired packages: SciPy, NumPy, Scikit-Learn, Pandas, TensorFlow)

• Excellent verbal and written communication skills

• Ability to collaborate on an interdisciplinary team members to solve research problems

• Self-starter with a positive attitude, intellectual curiosity and a passion for analytics

Preferred Qualifications:

• Familiarity with SQL
• Prior analytics work experience: internship, research assistantship, or full-time position