CCDC Army Research Laboratory
About the Research
Our goal is to develop improved optical methods for characterizing and understanding atmospheric particles, especially biological and other carbonaceous aerosols in the earth’s boundary layer. Opportunities exist in characterization using optical methods, Raman scattering and intrinsic fluorescence, as well as in DNA sequencing techniques. Opportunities exist in studying the relations between wind trajectories and other atmospheric parameters on the types of aerosols measured, and in studying the effects of the environment on biological and other aerosols. The development of modeling capabilities for such problems is an aspect of these opportunities.
ARL Advisor: Steven Hill
ARL Advisor Email: email@example.com
The Computational and Information Sciences Directorate (CISD) conducts research in a variety of disciplines relevant to achieving and implementing the so-called digital battlefield. Problems address the sensing, distribution, analysis, and display of information in the modern battle space. CISD research focuses on four major areas: communications, atmospheric modeling, battlefield visualization, and computing
The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory (ARL) help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences.
A complete application includes:
Curriculum Vitae or Resume
Three References Forms
An email with a link to the reference form will be available in Zintellect to the applicant upon completion of the on-line application. Please send this email to persons you have selected to complete a reference.
References should be from persons familiar with your educational and professional qualifications (include your thesis or dissertation advisor, if applicable)
Transcript verifying receipt of degree must be submitted with the application. Student/unofficial copy is acceptable
If selected by an advisor the participant will also be required to write a research proposal to submit to the ARL-RAP review panel for :
Research topic should relate to a specific opportunity at ARL (see Research Areas)
The objective of the research topic should be clear and have a defined outcome
Explain the direction you plan to pursue
Include expected period for completing the study
Include a brief background such as preparation and motivation for the research
References of published efforts may be used to improve the proposal
A link to upload the proposal will be provided to the applicant once the advisor has made their selection.
Questions about this opportunity? Please email ARLFellowship@orau.org
Degree: Doctoral Degree.
Computer Sciences (17 )
Earth and Geosciences (23 )
Engineering (27 )
Environmental and Marine Sciences (13 )
Life Health and Medical Sciences (47 )
Mathematics and Statistics (11 )
Nanotechnology (1 )
Other Physical Sciences (12 )
Physics (16 )
Age: Must be 18 years of age