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Job Title Computer Sci., Cognitive Modeling Ph.D Fellowship
Company Summary All opportunities posted are ongoing.

The Research Participation Program for the U.S. Army Research Laboratory (USARL) provides opportunities to participate in USARL’s on-going and applied research and development projects through its programs in: Computational & Information Science, Human Research and Engineering, Survivability & Lethality Analysis, Sensors & Electron Devices, Weapons & Materials Research, and Vehicle Technology. The mission of USARL is to provide the Army the key technologies and the analytical support necessary to assure supremacy in future land warfare. Project areas disciplines include Engineering, Physics, Chemistry, and Material Science.


Selected Fellows/Researchers will have the opportunity to perform research on topics of interest to the U.S. Government and to interact with leading scientists performing research and/or advising at the sponsor's facilities. The extensive partnering relationships with universities and other government agencies will expose participants to a broad research community. Program participants will have the opportunity to meet government decision-makers and learn directly from them about the role of scientific research in addressing complex, real-world (i.e., operational) needs. Furthermore, fellows have the opportunity to learn how research products transition from the proof-of-concept stage to integrated production systems. Other benefits may include the following:
• Stipend Payments

• Health Insurance

• Inbound Relocation/Dislocation

• Training & Travel


Applicants should have recently completed a degree within five years of the desired starting date in or related discipline, or will be able to complete of all requirements for the degree within six months of the starting date. Other applicants will be considered on a case-by-case basis. The program is open to all qualified U.S. citizens without regard to race, sex, religion, color, age, physical or mental disability, national origin, or status as a Vietnam era or disabled veteran.


Applications are accepted and reviewed on an ongoing basis. Selections are made as openings occur throughout the year. A complete application includes: profile, two references, and transcripts for all degrees earned and/or currently attending.


The participants will be selected based on academic records, recommendations, applied research interests and compatibility of background with applied research programs and projects at the host Installation. The initial appointment is typically for one year and may be renewed for up to four additional years based upon recommendation of the host installation and subject to availability of funds. The participant will receive a monthly stipend which is determined based upon level of education, training, and experience. Inbound travel and moving expenses are reimbursed according to established policies. Travel and other costs will also be reimbursed for training related to the project and approved by ORAU and the host installation. The participant must show proof of health and medical insurance. Health plans are available through the ORAU for Postgraduate Internship participants.
Location Aberdeen Proving Ground, MD
Country United States
Position Id ARL-1160570115
Job Description

The candidate will work on one or more areas of the Data to Decisions Visualization program, which has the following objectives.  Design and prototype visualization applications for decision support that are built around conceptual schemas of the humans executing common tasks and that make a leap-ahead advancement in the ability of humans to understand extremely complex and large multi-source data. 2)  Develop collaborative methods for representing features that are the object of a team’s focus, providing support for analytic discourse among distributed members and that make significant advancements in the ability of distributed team members to rapidly and accurately act on incomplete, uncertain, and complex data.  3) Develop and prototype new visual methods to support analytic reasoning sufficient to overcome or minimize traditional problems of scale (to include scale problems with information, visual, display, human, and software), and information synthesis. 4) Conduct analysis of advanced prototypes, demonstrate best of breed in lab and/or field exercises, and disseminate key findings/breakthrough methods to maximize utilization of prototypes in legacy systems.  The candidate would be expected to provide computational support to the effort in a number of potential ways, to include 1) obtaining open source data for information extraction (to include manipulating data for extraction software programs), 2) developing user interfaces or algorithms to extract key pieces of information and developing ways to visualize the information, and 3) constructing software components to feed a dashboard display of user-defined applications for rapid understanding of important information in unstructured text data.

Number of Openings 2
Degree Specialization Computer Sciences, Cognitive Modeling
Degree Required PhD - Graduate