[ES_JOBS_NET] Numerical Methods for Fractional Differential Equations Research, U.S. DoD, San Antonio, TX

[Christine Wiedinmyer]

https://www.zintellect.com/Opportunity/Details/AFRL711HPW-2019-0027

 

Organization

U.S. Department of Defense (DOD)

Reference Code

AFRL711HPW-2019-0027

How to Apply

Components of the online application are as follows:

*	Profile Information
*	Educational and Employment History
*	Essay Questions (goals, experiences, and skills relevant to the
opportunity)
*	Resume (PDF)
*	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.
*	1 Recommendation(s)

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 at 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.

Description

This division of the Air Force Research Laboratory leads the mission to
exploit and protect against bioeffects of battlefield environmental
stressors. Specific objectives include facilitating directed energy weapons
development and use and preventing mission degradation due to directed
energy exposure, enabling our forces to function safely, effectively, and
efficiently on the directed energy battlefield. The division has played a
key role in understanding the effects of directed energy weapons for more
than 50 years, starting with nuclear flash eye protection.

This opportunity takes place at the Tri-Service Research Laboratory located
at Fort Sam Houston, TX. The opportunity involves creating a numerical
toolbox for the fractional calculus, which is a powerful branch of
mathematics dealing with differentiation and integration of arbitrary order.
The participant will not only have the unique opportunity to learn about
these methods from leaders in the field, but will also apply them in a
research-industry setting. The participant will perform an initial
literature survey to see what algorithms and methods already exist so that
they may be replicated inside of the toolbox/library. Opportunities for
hands-on learning include writing examples as well as routines for error
analysis/performance metrics. The development of models that have the
capability to simulate combinations of different biophysical processes that
occur during directed energy exposure are to follow.

Appointment Length

This appointment is a twelve 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.

Participant Benefits

Participants will receive a stipend to be determined by USAFRL. 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.
*	Relocation Allowance
*	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.

Qualifications

Participant is expected to have working knowledge and experience with
implementing numerical methods for solving differential equations in the C
and/or Python programming languages. A background in mathematics,
engineering, and/or computational physics would be favorable.

Eligibility Requirements

*	Citizenship: U.S. Citizen Only
*	Degree: Master's Degree or Doctoral Degree received within the last
12 months or currently pursuing.
*	Discipline(s):

o        Communications and Graphics Design (2

)

o        Computer Sciences (17

)

o        Earth and Geosciences (23

)

o        Engineering (27

)

o        Environmental and Marine Sciences (13

)

o        Life Health and Medical Sciences (47

)

o        Mathematics and Statistics (11

)

o        Nanotechnology (1

)

o        Other Physical Sciences (12

)

o        Physics (16

)

 

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