Statistician

APPLICATION INSTRUCTIONS:

• CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.

• CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.

• If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS:

We are seeking an entry level Statistician to join our Intelligent Sensor Technologies Department of the Applied Research Laboratory (ARL) at Penn State to participate in the solving of complex Traffic Analysis projects. The primary research focus is understanding and characterizing the statistical properties of various message streams

You will:

• Use accepted methods and techniques, design, develop, and implement to analyze the non-randomness of message streams. In addition, you will use existing non-randomness tests together with machine learning methods the effectiveness of message stream obfuscation.
• Develop extensions of existing non-randomness test and novel non-randomness tests to detect and/or classify features in message streams.
• Conduct message stream experiments/tests in the laboratory/field to test, prove, or modify theoretical propositions on basis of research findings and experiences of others researching in related technical areas; includes taking measurements and recording observations, collecting, compiling, and processing data
• Document data/findings in technical reports, documents, or oral/written presentations
• Develop ideas and proposals to improve message stream obfuscation modeling and analysis capability either extending existing capability, developing new methods, or diversifying into new applications
• Provide innovative problem-solving approaches to enhance message stream modeling and analysis capabilities; use peer network to expand technical capabilities and identify new research opportunities
• Learn broad strategic objectives and applications of message stream modeling analysis, develop relationships with major sponsors of external research, and develop grant funding
• Research and identify follow-on research projects and/or initiate new project concepts; contribute to technical proposals; and make presentations to customers.

Minimally require a Bachelors' degree. A degree in an applied mathematics or relates statically focused discipline is preferred.

Required skills include:

• Experience in generating synthetic message streams, implementation of new and established non-randomness statistical methods, and application of methods to solve specific problems
• Demonstrated ability to document research findings in whitepapers and technical reports
• Proven experience implementing scientific or technical solutions independently with guidance from mentors
• Demonstrated understanding and experience with end to end design, implementation, and testing of technical and scientific solutions
• Effective at presenting in front of large groups of senior level professionals
• Opportunity to develop and write white papers
• Any software/experiences that ARE necessary to be offered the position/must be held by candidate: fluent in multiple various scientific programming languages from Matlab, Python, and R; proven ability to read and understand complex applied mathematics and numerical implementations

Preferred skills include:

• Current active security clearance
• Ability to learn new programming languages and tools, mathematical techniques and numerical implementations

ARL at Penn State is an integral part of one of the leading research universities in the nation and serves as a University center of excellence in defense science, systems, and technologies with a focus in naval missions and related areas.

You will be subject to a government security investigation. An active security clearance is highly desired. You must be a U.S. Citizen to apply. Employment with ARL will require successful completion of a pre-employment drug screen.

ARL is committed to diversity, equity, and inclusion; we believe this is central to our success as a Department of Defense designated University Affiliated Research Center (UARC).  We are at our best when we draw on the talents of all parts of society, and our greatest accomplishments are achieved when diverse perspectives are part of our workforce.

FOR FURTHER INFORMATION on ARL, visit our web site at www.arl.psu.edu.

**The proposed salary range may be impacted by geographic differential.**

The salary range for this position, including all possible grades is:

$51,000.00 - $74,000.00

Salary Structure - additional information on Penn State's job and salary structure. 

CAMPUS SECURITY CRIME STATISTICS:

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

Employment with the University will require successful completion of background check(s) in accordance with University policies. 

EEO IS THE LAW

Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

Federal Contractors Labor Law Poster

PA State Labor Law Poster

Affirmative Action

Penn State Policies

Copyright Information

Hotlines

University Park, PA