The University of Colorado at Colorado Springs (UCCS) has had an REU (Research Experiece for Undergraduates) program funded by the National Science Foundation (NSF) for the past several years. The past three programs lasted nine years, from 2009-2011, 2014-2016, and 2017-2019. The current program is starting from the summer of 2021.
UCCS is a predominantly undergraduate institution with a number of graduate programs. As of end of Fall 2019, UCCS enrolled 10,196 students of which 10,188 were undergraduates. The Computer Science Department has BS, BA and BI (Bachelor of Innovation) programs in Computer Science, Master's programs in Computer Science and Cybersecurity, and PhD programs in Computer Science and Security. The Department has twenty-two full-time faculty members and 700 students, and is growing.
Colorado Springs is a beautiful city, only miles from the famed Pikes Peak sitting atop the Front Range of the Rocky Mountains. There are many things to do outdoors as well as it has a decent city life. It's a city with 500,000 people in the city and 750,000 people in the metropolitan area.
The objective of the REU site is to expose bright and motivated undergraduates who want to pursue advanced careers in Computer Science related fields to work on hands-on research projects in theory and practical applications of Machine Learning. Students will work with three professors who specialize in specific research areas, but each with a great deal of interest in machine learning.
The program will be held over ten weeks, starting late May/early June through the first week of August. The students need to attend the entire program, from beginning to end.
The deadline for submitting a completed application was April 10, 2021, but we are still accepting applications . We will make offers on a rolling basis as soon as qualified applications are received.
$600/week during the summer for full-time research.
Interns are expected to be full-time. Interns are expected to put in at least 8 hours of work per day. Research should be your focus during the summer. Since we are paying for a lot more than 8 hours of work, interns are expected to focus on doing well on their projects, whatever it takes.
We will pay each student a small amount of $280/month for food. Food Service on campus during the summer is limited, but there are many eating establishments within 15 minutes of walking. If you are from out of town, we will house you in the dorms. Dorms on campus have excellent views of the Rocky Mountains. You will most likely be housed in the Alpine Village. We will provide the basics: linens, some pots and pans and utensils. We will make arrangements for your travel, although the amount may be limited.
We have many interesting projects in the application of machine learning in natural language processing and computer vision. Here are links to prior REU programs: 2009-11, 2014-16, and 2017-19. You can also look at the final papers written by the prior REU students: 2010, 2011, 2014, 2015, 2016, 2017 2018 and 2019. Once you have been selected for a position, we will be in touch with you so that you have a project topic before you arrive. Each students will work on an individual project although there will be other projects with similar topics. Individual work will be emphasized although collaboration will be encouraged wherever possible. For more details on project ideas, look at the faculty Web pages.
Please look at the Web sites of Professors Kalita, Atyabi, and Oluwadare if you would like to know more about the professors involved in this REU program. You can look up their Google Scholar pages also: Kalita, Atyabi, and Oluwadare.
Please send a cover letter indicating one or more preferred research areas and professors, an (un)official transcript, current vita containing pertinent course work, related experience, and professional and academic goals, a phone number for interview to Dr. Jugal Kalita. Please make a single PDF file containing all the documents before attaching it to your email.
Please request two individuals who know you as professor or supervisor to send letters of reference (which can be an email) to email@example.com.
Since successful research involves copious writing, please include at least one technical paper that you have written. This can be paper for a class.
2019, 2018,2017, 2016, 2015, 2014, 2011, 2010 and 2009.