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.

Approval of remote and hybrid work is not guaranteed regardless of work additional information on remote work at Penn State seeNotice to Out of State Applicants.

POSITION SPECIFICS

We are searching for an Autonomy and Data Fusion Engineer to join the Advanced Phenomenology Department of the Applied Research Laboratory (ARL) at Penn State. As part of our Geospatial Image and Data Science Division this highly collaborative team is comprised of adaptable curious creative lateral thinkers with both traditional and non-traditional backgrounds and multidisciplinary points-of-view.

ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.

You will:

• Research and test novel collection methods and strategies using multiple networked assets evaluate and optimize sensor deployment and autonomy in sea ground air and space environments
• Assist our research efforts to develop novel sensing and estimation strategies that facilitate data-driven decision support. Utilizing state-of-the-art tools in machine perception autonomy and data fusion
• Develop data architectures and pipelines for test and evaluation document findings and recommend system modifications
• Design data fusion and estimation frameworks using heterogenous sensor network configurations while establishing uncertainty measures
• Collaborate with geospatial imagery analysts and/or UxV operators to understand and automate workflows and improve human processes to advance the discovery and modeling of associations trends patterns and system dynamics
• Collaborate with computer vision algorithm developers and data scientists to integrate machine learning algorithms and incorporate physics-based and mathematical models where appropriate for validation and verification
• Apply scientific methods and best practices across multiple disciplines to advance data and geospatial sciences and develop data analytics through systematic experimentation
• Engage in research efforts ranging from proof-of-concept through integrated production

Required skills/experience areas include:

• Experience in a field directly applicable or highly related to Computer Science Applied Mathematics Engineering or Geospatial Sciences
• Computer programming in one or more of the following: Python C MATLAB Java
• Experience with spatio-temporal data fusion applicable database architectures and machine learning applications

Preferred skills/experience areas include:

• Experience working within DoD/IC Analysis or Operational environments
• An active government security clearance
• Masters degree

Your work location will be fully on-site located in State College PA. Questions related to flexible work should be directed to the hiring manager during the interview process.

MINIMUM EDUCATION WORK EXPERIENCE & REQUIRED CERTIFICATIONS

ARLs purpose is to research and develop innovative solutions to challenging scientific engineering and technology problems in support of the Navy the Department of Defense (DoD) and the Intel Community (IC).FOR FURTHER INFORMATION on ARL visit our website at.

BACKGROUND CHECKS/CLEARANCES

SALARY & BENEFITS

Salary Structure - Information on Penn States salary structure

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional addition to comprehensive medical dental and vision coverage employees enjoy robust retirement plans and substantial paid time off which includes holidays vacation and sick time. One of the standout benefits is the generous 75% tuition discount available to employees as well as eligible spouses and children. For more detailed information please visit our Benefits Page.

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.

EEO IS THE LAW

Penn State is an equal opportunity 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 .

Federal Contractors Labor Law Poster

PA State Labor Law Poster

Penn State Policies

Copyright Information

Hotlines