Thank you for your interest in the NYU CDS Undergraduate Research Program (CURP) in partnership with the National Society of Black Physicists (NSBP). The soft application deadline was December 18. Please note that our first cohort is currently in progress and that we are no longer accepting applications for Spring 2021.
A strength of New York University is the active engagement of our scholarly community in a global world. As such, NYU’s community is enriched by individuals reflecting diverse sociocultural identities, perspectives, and experiences. NYU recognizes the value of a diverse community in supporting an intellectually challenging and inclusive educational environment.
To that end, the NYU Center for Data Science (CDS) is partnering with the National Society of Black Physicists (NSBP) to offer the NYU CDS Undergraduate Research Program (CURP). It is a research mentorship program designed for a diverse group of undergraduate students who have completed at least two years of university-level courses and would like to conduct research in data science. The objectives of the CURP are to provide meaningful research opportunities to talented students who are interested in the field of data science, an opportunity to develop the necessary skills and knowledge to participate in successful research collaborations, and a community of academic peers and world renowned faculty mentors who can advise, encourage, and support them. This is currently an online program, hence students can participate from anywhere in the country.
The duration of the program will vary from 3-6 months depending on the research project, but the first cohort is set to begin the program in January 2021. A CURP fellowship award will be offered.
Julia Kempe Director, Center for Data Science
“We are excited to launch this unique undergraduate research program here at NYU’s Center for Data Science in close collaboration with the National Society of Black Physicists (NSBP). We hope that talented undergraduate STEM students take full advantage of this extraordinary opportunity and enjoy the exposure to cutting-edge and exciting data science research projects and mentorship by outstanding faculty in an inclusive environment designed to especially support students of diverse backgrounds.”
Stephon Solomon Alexander, President of the National Society of Black Physicists
“The National Society of Black Physicists is excited to partner with NYU Center for Data Science (CDS) for the CDS Undergraduate Research Program. This opportunity will give students first hands experience and training in Big Data and Machine Learning. These skills will definitely open new opportunities in a broad range of scientific fields and technology.”
The Center for Data Science is dedicated to ensuring that its scholarly community and the field of data science is enriched by individuals who, through their various backgrounds and life experiences, contribute to an intellectually challenging and inclusive educational environment. Our priorities are to maximize opportunities for students to be connected to top-notch faculty, and to learn in an environment that embraces a diversity of perspectives and recognizes the values and unique experiences that those from historically underrepresented communities bring to the table. To that end, the CURP is open to students of all backgrounds and especially encourages applications from individuals who come from diverse backgrounds and whose academic and research experience contribute significantly to the diversity and academic excellence at CDS as well as to the principles of the NSBP.
Under the direction of CDS faculty, up to 17 undergraduate students will complete a research project, give a presentation, and write a technical report on their research project. Students will be part of a group of peers with common interest in data science. They will have the opportunity to attend talks given by leading researchers in their fields, attend workshops aimed at developing skills and techniques needed for research careers in data science, and learn techniques that will prepare them for the admissions to graduate and doctoral programs as well as for fellowship applications. The students will receive a stipend depending on the time and the scope of the project.
After the research opportunity, each student will:
- be part of a network of mentors that will provide continuous advice in the long term as the student makes progress in their studies.
- have access to faculty advice and references for graduate applications.
- be part of a network of other students of diverse backgrounds with similar interests.
How to Apply
Applicants must be enrolled in a postsecondary institution in Spring 2021 semester and be a United States citizen or be a permanent resident. We are also pursuing opportunities for undocumented and DACA students, and welcome applications from these students.
Application is open until all the available opportunities are filled. Applications received on or before December 18, 2020 will receive full consideration as the program aims to onboard the first cohort of research students in January 2021. Please note that we will accept applications past December 18 on a rolling basis until all positions are filled.
Applications for CURP 2020 should be submitted via the CURP application link, which lists the required application materials.
A complete application consists of four items. These items are:
Please send a copy of your transcripts showing courses and grades from all postsecondary institutions that you have attended to firstname.lastname@example.org. Initially, unofficial copies (as long as they are legible) of transcripts are acceptable, though we may request official transcripts upon acceptance to the program. Ideally transcripts should contain Spring 2020 grades, but we are understanding that these may not be available or may have been affected by the pandemic, and will be weighted accordingly.
2. Statement of Interest
Write a personal statement (300 – 1000 words) addressing your research interest in data science, particularly with respect to the faculty and topics listed below, and why you would like to participate in the CURP. You may write in any style, but try to address the origins of your interest in science, experiences (school-related and other) that have particularly stimulated you, obstacles you have faced along the way, and future educational and career plans and aspirations. If you are currently attending a two-year institution, provide the name of the four-year institution to which you plan to transfer and the date when you plan to transfer in your statement.
The topics of research for the CURP program and the faculty leading that are as follows:
- Carlos Fernandez-Granda: Carlos is an Assistant Professor of Mathematics and Data Science at Courant Institute of Mathematical Sciences and Center for Data Science at New York University. CURP topics: deep learning for upper body movement in stroke patients and deep learning for microscopy.
- Julia Kempe: Julia is a Professor of Computer Science, Mathematics and Data Science at the Center for Data Science at NYU. She is also the Director of NYU’s Center for Data Science. CURP topics: catastrophic forgetting and/or machine learning.
- Jonathan Niles-Weed: Jonathan is an Assistant Professor of Mathematics and Data Science at the Courant Institute of Mathematical Sciences and the Center for Data Science at NYU, where he is a core member of the Math and Data group. CURP topic: learning from randomly shuffled data.
- Cristina Savin: Cristina is an Assistant Professor of Neural Science and Data Science at the Center for Data Science at NYU. CURP topic: online learning in recurrent neural networks.
- Sarah Shugars: Sarah is a Moore Sloan Faculty Fellow at NYU’s Center for Data Science. CURP topics: social media, political discourse, or computational social science.
- Elena Sizikova: Elena is a Moore Sloan Faculty Fellow at NYU’s Center for Data Science. CURP topics: understanding where neural networks look to make decisions with applications to medical imaging.
- Andrew Gordon Wilson: Andrew is an Assistant Professor at the Courant Institute of Mathematical Sciences and the Center for Data Science at New York University. CURP topic: Bayesian machine learning.
- Laure Zanna: Laure is a Professor of Mathematics and Atmosphere/Ocean Science at the Courant Institute of Mathematical Sciences at New York University. CURP topic: Machine Learning for Climate.
- Wenda Zhou: Wenda is a Moore Sloan Faculty Fellow at the NYU Center for Data Science and the Flatiron Institute. CURP topic: machine learning for chemistry and force-field learning.
3. Description of Previous Summer / Research Experiences
Please list and give a brief description of all science research or summer programs (high school or college), in which you have participated, if any and send it to email@example.com.
4. Faculty Reference Letter of Recommendation
Please designate one Faculty as your reference; this should be someone from whom you have taken a class or with whom you have done independent scientific work and ask them to send the recommendation letter to firstname.lastname@example.org. It is the student’s responsibility to make sure the letter is e-mailed on time. You may include a second letter if you think it will strengthen your application significantly. The deadline for receiving reference letters is Dec 18, 2020.
For additional information, please contact email@example.com.
Disclaimer: This webpage is still subject to some change, but it serves as a clear representation of the process as it stands now.