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Pennsylvania State University Advanced Phenomenology Department Head in University Park, Pennsylvania

APPLICATION INSTRUCTIONS:

  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process (https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/EfiwgKReZ4VAjprFZPKWUm0Bq_sU3KzTmERfpryq0esPKQ) . 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. (https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/Eeys15Xva4hFokHVtbP1eGIB5i1WFLc-J3k9KHgrFYZ7mg) 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 (https://hr.psu.edu/sites/hr/files/Application_Process_for_External_Applications_Non-Penn_State_Employees_.pdf) .

JOB DESCRIPTION AND POSITION REQUIREMENTS:

We are seeking an Advanced Phenomenology Department head to join our team in the Applied Research Laboratory (ARL) at Penn State University. We are looking for leaders in the areas of Engineering and Science that are excited about leading multidisciplinary teams in a fast paced research environment. You will lead research efforts and help mentor and develop personnel in this unique problem area that has applications in defense, law enforcement, security, disaster relief, human geography, disaster preparedness, and first response.

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

You will:

  • Mentor and supervise department personnel to balance project objectives with continuous learning / professional growth.

  • Lead programs and teams, and be part of a highly collaborative leadership team.

  • Lead collaborations with geospatial imagery analysts to understand and automate workflows and improve human processes to advance the discovery and modeling of associations, trends, patterns and system dynamics.

  • Lead the creation of processes and algorithms to transform traditional GEOINT imagery and open source data into spatio-temporal information to better represent the most advanced understanding of world events, systems, and discrete entities.

  • Design and integrate automated geospatial workflows into existing systems with rigorous testing and documentation

  • Grow your career and capabilities, plan and conduct applied research, provide technical guidance and oversight, lead large research efforts, report results, foster trusted relationships with sponsors, and advise on new and evolving technology and techniques.

  • Engage in research efforts ranging from proof-of-concept through integrated production systems.

    This position can be filled at multiple levels, depending upon your education and experience. Minimally requires a Bachelors’ degree in an Engineering or Science discipline plus 5 years’ related experience for the advanced level. Additional education and/or experience are required for higher level positions. A Masters’ degree or higher is preferred.

Required skills/experience areas include:

  • Ability to lead diverse teams and themselves be excellent team members, highly adaptable, highly curious, creative, lateral thinkers

  • Excels in highly collaborative leadership teams of peers

  • Significant experience as a Principal Investigator on DoD/IC research programs, and demonstrated leadership capabilities

  • Excellent communication skills, be dependable, responsive, curious, collaborative, and have high interpersonal skill.

  • Relevant experience in a field directly applicable or highly related to Geospatial Sciences, Engineering, or Computer Sciences.

  • Able to adapt and learn new skills, to execute specific research projects, and to meet task deadlines and goals.

  • Computer programming in one or more of the following: Python, R, Java, C++, or Matlab.

Preferred skills/experience areas include:

  • Worked within DoD/IC Analysis or Operational environments

  • Git, GUI development, open source scientific computation, GIS, computer vision, physics modeling, or machine learning tools

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.

This position will require successful completion of standard background checks.

Employment with the Applied Research Laboratory will require successful completion of a pre-employment drug screen. U.S. citizenship is required for the applicant.

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 pay range for this position, including all possible grades is:

$109,300.00 - $219,600.00

Salary Structure (https://hr.psu.edu/current-employee/compensation/comp-modernization) - 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 (https://police.psu.edu/annual-security-reports) .

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 (https://affirmativeaction.psu.edu/files/2022/01/Federal-Contractors-Labor-Law-Poster.pdf)

PA State Labor Law Poster

Affirmative Action (https://policy.psu.edu/policies/hr11)

Penn State Policies

Copyright Information (https://www.psu.edu/copyright-information)

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