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Opportunity at Air Force Research Laboratory (AFRL)

Networking, Security, Data Analytics, and Machine Learning Applied to Critical Infrastructure Protection, Remote Sensing, Cognitive Radios, and Cloud Computing

Location

Air Force Institute of Technology

RO# Location
13.50.00.B7386 AFIT, Wright-Patterson AFB, OH 454337542

Advisers

Name E-mail Phone
Hopkinson, Kenneth Mark kenneth.hopkinson@afit.edu 937.255.3636 ex 4579

Description

Research opportunities are available in the areas of computer networks, data security, data analytics, and machine learning. The research will involve making contributions to our lab's research thrust areas. These areas include network management/optimization, data security, critical infrastructure protection with an emphasis on electric power and remote sensing applications, cogntive radios, cloud computing, and data analytics for situational awareness, prediction, and informed decision-making.

The Associate will have a PhD degree in computer science, computer engineering, or a related field; and training or work experience in areas related to the research thrust areas listed above. Background in related areas, such as artificial intelligence, optimization, algorithm design, and operations research is also helpful, as is hands-on experience in software design and implementation using C/C++. Strong communication skills and the ability to work independently within an interdisciplinary team is necessary

Applicants who possess a strong motivation to pursue academic research are encouraged to apply.

 

Keywords:
Computer networks; Data security; Cloud computing; Critical infrastructure protection; Electric power systems; Remote Sensing; Data Analytics; Machine Learning

Eligibility

Citizenship:  Open to U.S. citizens
Level:  Open to Postdoctoral and Senior applicants

Stipend

Base Stipend Travel Allotment Supplementation
$76,542.00 $4,000.00

$3,000 Supplement for Doctorates in Engineering & Computer Science

Experience Supplement:
Postdoctoral and Senior Associates will receive an appropriately higher stipend based on the number of years of experience past their PhD.

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