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Geospatial Data Science Department Head - Tuskegee Institute, United States - Penn State University
Description
APPLICATION INSTRUCTIONS:
CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process.
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.
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:
The Applied Research Laboratory's Geospatial, Imaging, and Data Sciences 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.
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 data 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 and open source data into spatio-temporal information describing places, events, and activities.
Combine full spectrum source data with modeling capabilities that associate real world objects to known signatures and doctrinesDevelop the ability to discover and capture information from geospatial data to better represent the most advanced understanding of world events, systems, and discrete entities
Apply the scientific method across multiple disciplines to advance Data and Geospatial Sciences and develop data 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
This position will be filled at the advanced, senior or principal professional level, depending upon successful candidate's education and experience.
Minimally requires a Bachelors' degree in an Engineering or Science based discipline plus 5 years' related experience for the advanced level.
Additional education and/or experience required for higher level positions. A Masters' degree or PHD is preferred.Required:
Ability to lead diverse teams and themselves be excellent team members, highly adaptable, highly curious, creative, lateral thinkers.
Excel on highly collaborative leadership teams of peers.
Excellent communication skills, be dependable, responsive, curious, collaborative, and have high interpersonal skill
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 how to do so
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 is highly regarded.
Experience with Git, GUI development, open source scientific computation, computer vision, modeling, or machine learning tools is highly regarded.
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.
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 atThe pay range for this position, including all possible grades is:
$109, $219,600.00
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.
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