Components of the online application are as follows:
Educational and Employment History
Essay Questions (goals, experiences, and skills relevant to the opportunity)
Transcripts/Academic Records - For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal institution systems may be submitted. Click here for detailed information about acceptable transcripts.
Submitted documents must have all social security numbers, student identification numbers, and/or dates of birth removed (blanked out, blackened out, made illegible, etc.) prior to uploading into the application system.
If you have questions, send an email to AIRFORCE@orise.orau.gov. Please list the reference code of this opportunity in the subject line of the email.
All documents must be in English or include an official English translation.
Letter of Recommendation: While a letter of recommendation is not required to be considered, applicants are required to provide contact information for one recommendation in order to submit the application. Applicants are encouraged to request a letter of recommendation before submission as this may help reviewers have a better understanding of the applicant’s qualifications and interests. If selected, a letter recommendation must be submitted on your behalf upon acceptance of the appointment.
AFIT's mission is to help build America's airpower, by educating military and civilian Airmen to innovatively accomplish the Air Force's core missions, in support of joint operations, more effectively, efficiently, sustainably and affordably. We provide unique defense-focused, research-enabled, multi-disciplinary advanced academic education, as well as globally delivering career-long, action-based, functional professional continuing education, over a continuum of learning, on-command and on-demand. Our success is measured by the career-long contributions of our graduates, faculty and staff. AFIT accomplishes this mission through four schools: the Graduate School of Engineering and Management, the School of Systems and Logistics, the Civil Engineer School, and the School of Strategic Force Studies. To learn more about the research performed at AFIT, please visit www.afit.edu.
We are seeking a self-motivated candidate to participate in research in the areas of cross-platform FPGA, GPU, and CPU algorithm development. This research project will involve implementing popular algorithms with known performance and DoD application, such as Fast Fourier Transforms (FFTs), filters, cryptographic hash functions, etc. These functions facilitate implementation because they are widely used toolkits targeting the different processing architectures that are widely available. The intern will contribute to research in the use of numerical optimization methods, genetic algorithms, and/or artificial intelligence methods to optimize the distribution of our given algorithms across different architectures. The ultimate goal is to find a best practice approach for deciding the distribution of DoD-centered applications in SWaP-constrained environments. The candidate selected for this research opportunity will gain a better understanding of techniques to split algorithms in a distributed fashion across a heterogeneous mixture of CPUs, GPUs, and FPGAs.
This appointment is a six month research appointment, with the possibility to be renewed for additional research periods. Appointments may be extended depending on funding availability, project assignment, program rules, and availability of the participant.
Participants will receive a stipend to be determined by AFIT. Stipends are typically based on the participant’s academic standing, discipline, experience, and research facility location. Other benefits may include the following:
Health Insurance Supplement. Participants are eligible to purchase health insurance through ORISE.
Training and Travel Allowance
Nature of Appointment
The participant will not enter into an employee/employer relationship with ORISE, ORAU, DOD, or any other office or agency. Instead, the participant will be affiliated with ORISE for the administration of the appointment through the ORISE appointment letter and Terms of Appointment.
Applicants should be undergraduate students studying computer science, computer engineering, or electrical engineering. Experience with computing languages including development on GPUs and FPGAs is preferred.