Geospatial Data Science Department Head (Faculty)

, PA, United States

Geospatial Data Science Department Head (Faculty) page is loaded Geospatial Data Science Department Head (Faculty) Apply locations Penn State University Park time type Full time posted on Posted Today job requisition id REQ_0000053085 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.

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JOB DESCRIPTION AND POSITION REQUIREMENTS:

The Applied Research Laboratory’s Geospatial and Imaging Division is searching for its Geospatial Data Science Department Head! We are looking for leaders in the areas of Engineering and Science who are excited about leading multidisciplinary teams and research efforts in a fast paced environment, while also help mentor and develop personnel in this problematic field that has applications in defense, law enforcement, security, disaster relief, human geography, disaster preparedness, and first response.This position may be filled as either a Research and Development Engineer or a non-tenure Research Faculty.

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 describing places, events, and activities.

Model the physics of remote sensing systems to associate real world objects to known signatures and doctrines.

Develop the ability to discover and capture information from geospatial imagery to better represent the most advanced understanding of world events, systems, and discrete entities.

Apply the scientific method across multiple disciplines to advance Image Science and Computer Vision and develop automated analytics through systematic experimentation.

Lead experiment-driven applied research and development.

Lead scientific research projects and develop geospatial algorithms while collaborating among diverse domains to further scientific understanding and analytic tools.

Grow 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.

Non-tenurefaculty rank will be commensurate with education level and experience. Minimally requires a Bachelors’ degree (Master’s degree or PhD preferred) in an Engineering or Science based discipline plus 5 years’ related experience.

Required:

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

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

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

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

Ability to design experiments, perform analysis, and design or apply meaningful metrics to measure results, and teach/mentor others on process

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

Experience with computer programming in one or more of the following: Python, R, Java, C++, or Matlab

Preferred:

Experience working within DoD/IC Analysis or Operational environments

Experience with Git, GUI development, open source scientific computation, 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 atwww.arl.psu.edu .

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.

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