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 location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.

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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