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Postdoctoral Scholar - Pharmacology
Pennsylvania State University in University Park, Illinois
 
 
Apply
 
Date Posted 10/22/2021
Category
Admin-Other Administrative Positions
Employment Type FullTime
Application Deadline Open until filled
 
 
 
 
 

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 .

JOB DESCRIPTION AND POSITION REQUIREMENTS:

We are seeking a Division Head for the Geospatial, Image, and Data Science Division (GIDS) to join the Communications, Information, and Navigation Office (CINO) within the Applied Research Laboratory (ARL) at the Pennsylvania State University. This position will direct research projects, supervise department heads, direct strategic initiatives, and maintain relationships with external partners.  The division leader will report directly to the Head of CINO and be responsible for managing a 20+ person division of research engineers, scientists, technicians, and support personnel.  The successful candidate will have broad technical familiarity with all aspects of division tasking and should possess deep technical skills in one or more specific components of a portfolio encompassing Java, C++, or Python, Git, open source scientific computation, computer vision, modeling, or machine learning tools. This position can be filled as a Research and Development Engineer or as non-tenure Research Faculty.

CINO is a learning-centric organization that cultivates an environment where creative ideas and people thrive for the betterment of our national security mission. The successful candidate will have a demonstrated track record of embracing and cultivating professionalism, teamwork, courtesy, and respect for their staff and others (e.g., subcontractors, vendors, collaborators, sponsors, etc.) In addition, the successful candidate will have a demonstrated approach to motivating and recognizing the contributions of all team members.

The successful candidate will be responsible for the following:

  • Conceptualize, develop, and execute basic and applied research programs that support research efforts of unique problems pertaining to:  defense, law enforcement, security, disaster relief, human geography, disaster preparedness, first response, development and evaluation of algorithms and analytics to produce accurate interpretations, and other geospatial related disciplines.
  • Develop and manage partnerships and relationships with sponsors and collaborators in government, academia, and industry
  • Coordinate with sponsors and supervise organizational logistics and team management to identify risks, issues, requirements, and design solutions for project-level activity on a day to day basis
  • Develop and execute a Division Strategic Plan harnessing and enabling ARL’s resources
  • Present division and program overviews, proposals, and technical briefings at internal and external events
  • Prepare and review proposals, technical reports, status reports, and other programmatic and administrative documents
  • Create and manage a world-class and diverse workforce
  • Cultivate a diverse and inclusive environment that instills a sense of belonging at ARL
  • Build a partnership with ARL’s Enterprise organization
  • Lead a large, diverse, technically strong, and entrepreneurial group of personnel

Minimally requires a Bachelors' degree in an Engineering or Science based discipline, plus 14 years’ related experience. A Masters' or Doctorate degree is preferred.

Requirements inclue:

  • Experience in two or more of the following: Java, C++, or Python, Git, open source scientific computation, computer vision, modeling, or machine learning tools
  • Demonstrated experience integrating research software into operational environments related to, Data Sciences, Image Sciences, or Geospatial Sciences
  • Use physics-based modeling of remote sensing systems to provide insights into GEOINT capability gaps, mission planning, and resource utilization
  • Develop feature extraction tools to automatically generate world-wide geospatial data on demand
  • Advance the discovery and modeling of associations, trends, patterns and system dynamics
  • Create processes and algorithms to transform traditional GEOINT and open source data into spatio-temporal information describing places, events, and activities

The following experience is preferred:

  • Proven exceptional multi-tasking skills, supervisory skills, and instructing aptitude
  • Outstanding team building, communication, and writing skills
  • Demonstrated excellence in personnel, program and financial management
  • Demonstrated history of successful program development efforts

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.

Candidate selected will be subject to a government security investigation and will be required to obtain and maintain a TS/SCI clearance. Applicants with an active TS/SCI will be given preference. You must be a U.S. citizen to apply. Employment with ARL will require successful completion of a pre-employment drug screen.

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.

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 applications without regards to race, color, religion, age, sex, sexual orientation, gender identify, 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.

Affirmative Action

Penn State Policies

Copyright Information

Hotlines

University Park, PA

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 .

JOB DESCRIPTION AND POSITION REQUIREMENTS:

We are seeking a Division Head for the Geospatial, Image, and Data Science Division (GIDS) to join the Communications, Information, and Navigation Office (CINO) within the Applied Research Laboratory (ARL) at the Pennsylvania State University. This position will direct research projects, supervise department heads, direct strategic initiatives, and maintain relationships with external partners.  The division leader will report directly to the Head of CINO and be responsible for managing a 20+ person division of research engineers, scientists, technicians, and support personnel.  The successful candidate will have broad technical familiarity with all aspects of division tasking and should possess deep technical skills in one or more specific components of a portfolio encompassing Java, C++, or Python, Git, open source scientific computation, computer vision, modeling, or machine learning tools. This position can be filled as a Research and Development Engineer or as non-tenure Research Faculty.

CINO is a learning-centric organization that cultivates an environment where creative ideas and people thrive for the betterment of our national security mission. The successful candidate will have a demonstrated track record of embracing and cultivating professionalism, teamwork, courtesy, and respect for their staff and others (e.g., subcontractors, vendors, collaborators, sponsors, etc.) In addition, the successful candidate will have a demonstrated approach to motivating and recognizing the contributions of all team members.

The successful candidate will be responsible for the following:

  • Conceptualize, develop, and execute basic and applied research programs that support research efforts of unique problems pertaining to:  defense, law enforcement, security, disaster relief, human geography, disaster preparedness, first response, development and evaluation of algorithms and analytics to produce accurate interpretations, and other geospatial related disciplines.
  • Develop and manage partnerships and relationships with sponsors and collaborators in government, academia, and industry
  • Coordinate with sponsors and supervise organizational logistics and team management to identify risks, issues, requirements, and design solutions for project-level activity on a day to day basis
  • Develop and execute a Division Strategic Plan harnessing and enabling ARL’s resources
  • Present division and program overviews, proposals, and technical briefings at internal and external events
  • Prepare and review proposals, technical reports, status reports, and other programmatic and administrative documents
  • Create and manage a world-class and diverse workforce
  • Cultivate a diverse and inclusive environment that instills a sense of belonging at ARL
  • Build a partnership with ARL’s Enterprise organization
  • Lead a large, diverse, technically strong, and entrepreneurial group of personnel

Minimally requires a Bachelors' degree in an Engineering or Science based discipline, plus 14 years’ related experience. A Masters' or Doctorate degree is preferred.

Requirements inclue:

  • Experience in two or more of the following: Java, C++, or Python, Git, open source scientific computation, computer vision, modeling, or machine learning tools
  • Demonstrated experience integrating research software into operational environments related to, Data Sciences, Image Sciences, or Geospatial Sciences
  • Use physics-based modeling of remote sensing systems to provide insights into GEOINT capability gaps, mission planning, and resource utilization
  • Develop feature extraction tools to automatically generate world-wide geospatial data on demand
  • Advance the discovery and modeling of associations, trends, patterns and system dynamics
  • Create processes and algorithms to transform traditional GEOINT and open source data into spatio-temporal information describing places, events, and activities

The following experience is preferred:

  • Proven exceptional multi-tasking skills, supervisory skills, and instructing aptitude
  • Outstanding team building, communication, and writing skills
  • Demonstrated excellence in personnel, program and financial management
  • Demonstrated history of successful program development efforts

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.

Candidate selected will be subject to a government security investigation and will be required to obtain and maintain a TS/SCI clearance. Applicants with an active TS/SCI will be given preference. You must be a U.S. citizen to apply. Employment with ARL will require successful completion of a pre-employment drug screen.

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.

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 applications without regards to race, color, religion, age, sex, sexual orientation, gender identify, 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.

Affirmative Action

Penn State Policies

Copyright Information

Hotlines

University Park, PA

Apply
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