NSF REU Program in Big Data Research- Summer 2020

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NSF

About the Company:

The National Science Foundation is a United States government agency that supports fundamental research and education in all the non-medical fields of science and engineering. Its medical counterpart is the National Institutes of Health.

Position Description:

The NSF REU Program in Big Data Analytics is recruiting undergraduate
students in the School of Computing and Informational Sciences at Florida
International University.

 

How to apply:

A 1 page statement of interest and intent, Explain what you have been
studying/ researching in your academic program.

A Curriculum Vitae (1-2 pages)

Position Duties:

We are
looking for bright undergraduate students to get involved in research in
the area of Systems Research for the summer of 2020. The focus is on
"big data analytics," however, the technology and skills learned by the
students have general applicability to research and practice in their
future studies.

This program pays a stipend over the appointment. Stipend is paid either
monthly or quarterly when project deliverables are met. As required by the
solicitation and DCL, we request funding for $8,000 per student, for a
total of $16,000. More details are as follows:
SUMMER 2020: $12/hour x 25 hours/week x 15 weeks = $4,500 x 2 students =
$9,000
FALL 2020 & SPRING2021: $12/hour x approx. 10 hours/week x 14 weeks =
$1,750 x 2 semesters = $3,500 x 2 students = $7,000. Total = $16,000 Hours;
M-F, (25 hours/week ) schedules tailored to the student’s curriculum and
class requirements.

Qualifications:

Applicants should meet the following requirements:
Must be a US Citizen or permanent resident

Minority students or students from underrepresented groups are encouraged
to apply

Must be an undergraduate student at FIU is one of the majors: Computer
Science, Computer Engineering

Have a minimum GPA of 3.0

Have good skills in programming such as Java

Experience with Linux is a plus

To apply for this job email your details to lhu@cs.fiu.edu

Apply using webmail: Gmail / AOL / Yahoo / Outlook

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