REU BigDataX 2019 Application
This form is for students applying to the REU BigDataX 2019 summer program ( You must be logged in to a Google account to complete this form. If you do not have a Google account, feel free to copy and paste the form below and email your responses to
First Name *
Last Name *
Email *
Status *
International students are not eligible for this BigDataX program.
University Affiliation *
Please include both university name followed by the city and state where it is located, separated by commas; for the university name, please spell out the full name of the university.
Degree *
List all degrees that you are currently working towards.
Year of study *
According to the credits earned as of May 28th 2019
Expected Date of Graduation *
This date must be on or after August 2nd, 2019.
Overall GPA *
Overall GPA at the current institution.
Major GPA *
Major GPA for completed coursework in your major (e.g. CS, EE, Math).
Coursework *
Select coursework (A, B, C, D, E represent the grades earned in these courses; I represents an incomplete grade or that the course is in progress; N represents that you have not taken this course); these courses are ones that might help students have the fundamentals of the research projects in the BigDataX program, but they are not all needed or expected for students to have had.
Data Structures
Algorithm Analysis
Systems Programming
Operating Systems
Computer Architecture
Programming Languages
Distributed Systems
Graph Theory
Machine Learning
Other relevant coursework
List course title, year taken, and grade received.
Skills & Systems *
Rate the skills you have or familiarity with the systems mentioned on a scale from 1 to 5, where 1 represents that you know nothing about this skill/system, and 5 represents that you are an expert at this skill/system. these skills are ones that might help students have the fundamentals of the research projects in the BigDataX program, but they are not all needed or expected for students to have had.
Programming Language (C/C++)
Programming Language (Java)
Programming Language (Python)
Scripting Language (Bash)
Linux OS (user)
Linux OS Internals
Job Management Systems (Slurm, PBS, SGE)
Network Programming (Sockets, MPI)
Concurrent Programming (Multi-threading, OpenMP, OpenCL, CUDA)
Machine learning (neural networks, Tensorflow)
R / Matlab
Web development
Source control (git, svn)
Cloud Computing (Amazon AWS, Google App Engine, Microsoft Azure, OpenStack)
Big Data Frameworks (Hadoop, Spark)
Other relevant Skills and Systems
List relevant skills and/or systems not included above, followed by your corresponding rating from 1 to 5. If you have had any prior research experience, please highlight this here, including any technical reports or publications you have co-authored.
Projects *
Rate your interests in the following broad topics on a scale from 1 to 3, where 1 represents that you have no interest in this project topic, 2 represents that you would be OK with this topic but need more information, and 3 represents that you are most interested in this project topic.
Big Data Systems (Ioan Raicu)
Data Management and Analytics (Kyle Chard)
Operating Systems and Computer Architecture (Kyle Hale)
Parallel Programming Systems (Justin Wozniak)
Databases (Aaron Elmore)
Optional Comments on Project Topics
List any relevant project topics in Big Data that you are interested in that are not listed above.
Competitions *
What competitions and/or hackathons have you participated in (include both high school and undergrad)?
Recommender #1 Name *
Recommender #1 Affiliation *
Recommender #1 Title/Position *
Recommender #1 Email *
Recommender #2 Name *
Recommender #2 Affiliation *
Recommender #2 Title/Position *
Recommender #2 Email *
Program Dates *
Can you be at IIT/UChicago on Tuesday May 28th 2019 at 9AM start the program, and leave no sooner than August 2nd 2019 at 8PM?
Summer Jobs *
Do you plan to have any other jobs (whether paid or unpaid) during the program period? We expect that you do not have any other job during this summer internship, as you are expected to work full time (40 hours a week) in the BigDataX program.
Housing *
Would you need housing accommodations during the program duration? Note that housing is offered at no charge to the students in IIT on-campus housing. We must know about your need for housing at the time of your application, and your selection here will not affect your chances of being offered a position in the BigDataX program. For example, in the 2015, only 4 of the 8 REU students stayed in the BigDataX provided housing, but in 2016, 2017, and 2018, all students stayed in the provided housing.
Motivation *
Please answer the following questions in at least 1000 characters and at most 2500 characters: 1. Why are you applying to the BigDataX program? 2. What do you hope to get out of it? 3. Why do you think you are a good fit for the program?
Resume and transcripts *
Submit a single PDF file named "BigDataX19_lastname_firstname_docs.pdf" that includes your resume and unofficial transcripts.
Demographics (Optional)
Please give us demographic information about yourself as we would like to keep track of who is applying to our program.
Are you male or female?
What is your ethnic background?
Check all that apply
Are you a first generation college student?
Does your university have a PhD program in your field of study?
Optional Comments
List anything you believe is important for your application, but we have not asked you about.
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