NVIDIA GRADUATE FELLOWSHIPS

This was the eighteenth year that NVIDIA has invited PhD students to submit their research projects for consideration. Recipients are selected based on their academic achievements, professor nomination, and area of research. We have found this program to be a great way to support academia in its pursuit of cutting edge innovation, as well as an ideal avenue to introduce NVIDIA to the future leaders of our industry.

The application period for the 2020-2021 academic year will open in early September.

GRADUATE FELLOWS

  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013-2002

2019 NVIDIA Graduate Fellowship Recipients

We are excited to announce the 2019 NVIDIA Graduate Fellowship recipients!

We know that there is incredibly important work taking place at universities worldwide, and the NVIDIA Graduate Fellowship Program allows us to demonstrate our commitment to academia in supporting research that spans all areas of computing innovation. Again this year, emphasis was given to students pushing the envelope in artificial intelligence, deep neural networks, autonomous vehicles, and related fields.

We had another record year of applications for the NVIDIA Graduate Fellowship Program and the fellowship committee undertook the very difficult task of reviewing all these applications. All of the research projects were very exciting and selecting the final fellowship recipients was an extremely difficult decision. Chief Scientist, Bill Dally, and the rest of the review committee would like to congratulate the 2019 NVIDIA Graduate Fellows:

BASTIAN HAGEDORN

UNIVERSITY OF MÜNSTER

CHEN-HSUAN LIN

CARNEGIE MELLON UNIVERSITY

CHING-AN CHENG

GEORGIA INSTITUTE OF TECHNOLOGY

DANIEL GORDON

UNIVERSITY OF WASHINGTON

DE-AN HUANG

STANFORD UNIVERSITY

HUAIZU JIANG

UNIVERSITY OF MASSACHUSETTS AMHERST

JEREMY BERNSTEIN

CALIFORNIA INSTITUTE OF TECHNOLOGY

LIFAN WU

UNIVERSITY OF CALIFORNIA, SAN DIEGO

MARIYA POPOVA

UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL

SIDDHARTH REDDY

UNIVERSITY OF CALIFORNIA, BERKELEY

We would also like to acknowledge our five finalists:

Chao-Yuan Wu

University of Texas at Austin
 

Kelvin Xu

University of California, Berkeley
 

Nathan Otterness

University of North Carolina at Chapel Hill

Wengong Jin

Massachusetts Institute of Technology


Yunzhu Li

Massachusetts Institute of Technology 

2018 NVIDIA Graduate Fellowship Recipients

ABHISHEK BADKI

UNIVERSITY OF CALIFORNIA, SANTA BARBARA

ADAM STOOKE

UNIVERSITY OF CALIFORNIA, BERKELEY

AISHWARYA AGRAWAL

GEORGIA INSTITUTE OF TECHNOLOGY

ANA SERRANO

UNIVERSIDAD DE ZARAGOZA

ANDY ZENG

PRINCETON UNIVERSITY 

DANIEL GEORGE

UNIVERSITY OF ILLINOIS AT URBANA-CHAPAIGN

HUIZI MAO

STANFORD UNIVERSITY

PHILLIPPE TILLET

HARVARD UNIVERSITY

XUN HUANG

CORNELL UNIVERSITY

ZHILIN YANG

CARNEGIE MELLON UNIVERSITY

NVIDIA FOUNDATION SPONSORED FELLOW

Sponsorship for the Compute the Cure initiative, which aims to advance the fight against cancer.

WILLIAM YUAN

HARVARD UNIVERSITY

FINALISTS 2018

Chenxi Liu

Johns Hopkins University
 

Jake Zhao

New York University

Mario Drummond

EPFL

Mark Buckler

Cornell University
 

Steve Bako

University of California, Santa Barbara

2017 NVIDIA Graduate Fellowship Recipients

ABIGAIL SEE

STANFORD UNIVERSITY

ADAMS WEI YU

CARNEGIE MELLON UNIVERSITY

AWNI HANNUN

STANFORD UNIVERSITY

CAROLINE TRIPPEL

PRINCETON UNIVERSITY

DEEPAK PATHAK

UNIVERSITY OF CALIFORNIA, BERKELEY

FERESHTEH SADEGHI

UNIVERSITY OF WASHINGTON

LING-QI YAN

UNIVERISTY OF CALIFORNIA, BERKELEY

ROBERT KONRAD

STANFORD UNIVERSITY

ROBIN BETZ

STANFORD UNIVERSITY

XIAOLONG WANG

CARNEGIE MELLON UNIVERSITY

NVIDIA FOUNDATION SPONSORED FELLOW

Sponsorship for the Compute the Cure initiative, which aims to advance the fight against cancer.

ANNA SHCHERBINA

STANFORD UNIVERSITY

FINALISTS 2017

Daniel Thuerck

Technische Universitaet Darmstadt
 

Dingzeyu Li

Columbia University

Leyuan Wang

University of California at Davis

Mohammad Babaeizadeh

University of Illinois at Urbana-Champaign
 

Philippe Tillet

Harvard University

2016 NVIDIA Graduate Fellowship Recipients

SAMAN ASHKIANI

UNIVERSITY OF CALIFORNIA, DAVIS

YONG HE

CARNEGIE MELLON UNIVERSITY

YATISH TURAKHIA

STANFORD UNIVERSITY

MINJIE WANG

NEW YORK UNIVERSITY

JIAJUN WU

MASSACHUSETTS INSTITUTE OF TECHNOLOGY

NVIDIA FOUNDATION SPONSORED FELLOW

Sponsorship for the Compute the Cure initiative, which aims to advance the fight against cancer.

GANG WU

UNIVERSITY OF SUSSEX

FINALISTS 2016

Ahmed Elkholy

University of Illinois at Urbana-Champaign
 

Achuta Kadambi

Massachusetts Institute of Technology

Caroline Trippel

Princeton

Yu-Hang Tang

Brown University
 

Ling-Qi Yan

University of California at Berkeley

 

2015 NVIDIA Graduate Fellowship Recipients

YU-HSIN CHEN

MASSACHUSETTS INSTITUTE OF TECHNOLOGY

BRIAN CHEUNG

UNIVERSITY OF CALIFORNIA, BERKELEY

FELIX HEIDE

UNIVERSITY OF BRITISH COLUMBIA

BENJAMIN KELLER

NEW YORK UNIVERSITY

GENNADY PEKHIMENKO

CARNEGIE MELLON UNIVERSITY

NVIDIA FOUNDATION SPONSORED FELLOW

Sponsorship for the Compute the Cure initiative, which aims to advance the fight against cancer.

FINALISTS 2015

Neha Agarwal

University of Michigan
 

Forrest Iandola

University of California at Berkeley

Viktor Kampe

Chalmers University of Technology

Ji Kim

Cornell University
 

Jui-Hsien Wang

Cornell University
 

Liwei Wang

University of Illinois at Urbana-Champaign

2014 NVIDIA Graduate Fellowship Recipients

SANDEEP AGRAWAL

DUKE UNIVERSITY

BENJAMIN ECKART

CARNEGIE MELLON UNIVERSITY

ANDREW MAIMONE

UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL

SOHAM UDAY MEHTA

UNIVERSITY OF CALIFORNIA, BERKELEY

JIN WANG

GEORGIA INSTITUTE OF TECHNOLOGY

FINALISTS 2014

William Chan

Carnegie Mellon University
 

Sundeep Jolly

Massachusetts Institute of Technology

Jungsuk Kim

Carnegie Mellon University

Timothy Rogers

the University of British Colombia
 

Yangzihao Wang

University of California, Davis

2013 Grad Fellows

Brian Zimmer
University of California, Berkeley
 
Haicheng Wu

Georgia Institute of Technology

James Hegarty
Stanford University
 
Juliet Fiss
University of Washington
 
Nathan Luehr
Stanford University

Sergey Levine
Stanford University

Stephen Tyree
Washington University in St. Louis
 
Tianyi David Han
University of Toronto
 
Timothy Rogers
University of Utah
 
Wei-Fan Chiang
University of Toronto
 
Yunsup Lee
University of California, Berkeley

Stephen Tyree
Washington University in St. Louis
 
Tianyi David Han
University of Toronto
 
Timothy Rogers
University of Utah
 
Wei-Fan Chiang
University of Toronto
 
Yunsup Lee
University of California, Berkeley

2012 Grad Fellows

Albert Sidelnik
University of Illinois, Urbana-Champaign
 
Ashwin Aji
Virginia Tech

Belen Masia
Universidad de Zaragoza / MIT Media Lab
 
Benjamin Madej

UCSD - San Diego Supercomputing Center
 
Dominik Grewe
University of Edinburgh

Haicheng Wu

Georgia Institute of Technology

Jason Clemons
University of Michigan
 
Meng Zhang
Duke University
 
Peng Li

University of Utah
 
Steven Dalton
University of Illinois, Urbana-Champaign

Wilson Wai
University of California, Berkeley
 
Yunsup Lee

University of California, Berkeley

2011 Grad Fellows

Albert Sidelnik
University of Illinois, Urbana-Champaign
 
Daniel Johnson
University of Illinois, Urbana-Champaign

Dominik Grewe

University of Edinburgh
 
Etienne Vouga
Columbia University
 
Keon Jang
Korea Advanced Institute of Science & Technology

Michael Bauer

Stanford University

Michael Rubinstein
University of California, Davis
 
Pinar Muyan-Ozcelik

University of California, Davis
 
Sertac Karaman
Massachusetts Institute of Technology
 
Weibin Sun

University of Utah

Wen Zheng
Stanford University

2010 Grad Fellows

Albert Sidelnik
University of Illinois, Urbana-Champaign
 
Anjul Patney
University of California, Davis

Debapriya Chatterjee
University of Michigan
 
Duane Merrill
University of Virginia
 
Henry Cook
University of California, Berkeley

Huy T. Vo
University of Utah
 
Michael Bauer
Stanford University
 
Nicolas Pinto
Massachusetts Institute of Technology
 
Toshiya Hachisuka
University of California, San Diego

2009 Grad Fellows

Anjul Patney
University of California, Davis
 
Bryan Catanzaro
University of California, Berkeley

Erik Sintorn
Chalmers University of Technology
 
Gregory Diamos
Georgia Institute of Technology
 
Huy T. Vo
University of Utah

Ivan Ufimtsev
Stanford University
 
Jiayuan Meng
University of Virginia
 
Nicolas Pinto
Massachusetts Institute of Technology
 
Rahul Garg
University of Washington
 
Yen-Tzu Lin
Carnegie Mellon University

2008 Grad Fellows

Adam O'Donovan
University of Maryland, College Park
 
Derek Juba
University of California, Davis

Gregory Diamos
University of Michigan
 
Jay Steele
Clemson University
 
Kanupriya Gulati
Texas A&M University

Michele Cash
University of Utah
 
Milos Hasan
Cornell University
 
Shubhabrata Sengupta
University of California, Davis
 
Vasily Volkov
University of California, Berkeley

2007 Grad Fellows

Jacob Leverich
Stanford University
 
Jared Hoberock
University of Illinois-Urbana Champaign

Jay Steele
Clemson University
 
Jerry Talton
Stanford University
 
Jonathan Ragan-Kelley
Massachusetts Institute of Technology

Nuttapong Chentanez
University of California, Berkeley

Pravin Bhat
University of Washington
 
Seth Cooper
University of Washington
 
Shubhabrata Sengupta
University of California, Davis
 
Veynu Narasiman
University of Texas, Austin
 
Won-Ki Jeong
University of Utah

2006 Grad Fellows

Brandon Lloyd
University of North Carolina, Chapel Hill
 
Greg Johnson
University of Texas, Austin

Guillem Pratx
Stanford University
 
Huamin Wang
Georgia Institute of Technology
 
Jaakko Lehtinen
Helsinki University of Technology

Jay Edward Steele
Clemson University

Jonathan Ragan-Kelley
Massachusetts Institute of Technology
 
Krzysztof Niski
Johns Hopkins University
 
Mathias Schott
University of Utah
 
Philipp Michel
Carnegie Mellon University
 
Pravin Bhat
University of Washington
 
Tomas Akenine-Moller
Lund University

2005 Grad Fellows

Chris Twigg
Carnegie Mellon, University
 
E Scott Larsen
University of North Carolina, Chapel Hill

Eric Chan
MIT
 
Greg Johnson
UT Austin

Hamilton Chong
Harvard

Jared Hoberock
UIUC
 
Jiawen Chen
MIT

Sven Woop
Saarland University

2004 Grad Fellows

Eugene Hsu
Massachusetts Institute of Technology
 
Greg Coombe
UNC Chapel Hill

Greg Johnson
UT Austin
 
Guo- Shi Li
University of Utah

Jesse Hall
University of Illinois, Urbana-Champaign

Morgan McGuire
Brown University
 
Pradeep Sen
Stanford University

2003 Grad Fellows

Bill Baxter
UNC Chapel Hill
 
Greg Coombe

UNC Chapel Hill

Ian Buck
Stanford University
 
Jesse Hall

University of Illinois, Urbana-Champaign
 
Karen Liu
University of Washington

Mattan Erez

Stanford University

Morgan McGuire

Brown University
 
Nate Carr
University of Illinois, Urbana-Champaign

Stefan Guthe
University of Tubingen

Tim Purcell
Stanford University

2002 Grad Fellows

Eitan Grinspun
UNC Chapel Hill
 
Nate Carr

University of Illinois, Urbana-Champaign

Mark Harris
University of North Carolina

Jan Kautz
Max-Planck-Institut für Informatik

Ian Buck
Stanford University
 
Tim Purcell
Stanford University

ABOUT NVIDIA'S GRADUATE FELLOWSHIP PROGRAM

NVIDIA has long believed that investing in university talent is beneficial to the industry and key to our continued growth and success. The NVIDIA Graduate Fellowship Program now provides funding in the amount of up to $50,000 per award to PhD students who are researching topics that will lead to major advances in the graphics and high-performance computing industries, and are investigating innovative ways of leveraging the power of the GPU. NVIDIA particularly invites submissions from students pushing the envelope in artificial intelligence, deep neural networks, autonomous vehicles, and related fields. We select up to ten students each year who have the talent, aptitude and initiative to work closely with us early in their careers. Recipients not only receive crucial funding for their research, but are able to conduct groundbreaking work with access to NVIDIA products, technology and some of the most talented minds in the field. We will be inviting the next round of Fellows to join us for a summer internship prior to the start of their Fellowship year.

NVIDIA partners with industry leaders to tackle some of the most complex computing challenges. We're creating profound change in industries such as medical imaging, space exploration, automotive design and film production. We've only scratched the surface of what we can accomplish when we apply our technology to it. We need innovative and talented doctoral students, who aren't afraid of a challenge, to help us tackle these opportunities.

Solve the Most Complex Visual Computing Challenges

"The NVIDIA Graduate Fellowship Program recognizes and supports excellence in GPU computing research in universities worldwide and builds relationships between NVIDIA and the academic community. We believe past recipients are the most talented graduate students in the world and the work they have proposed will help define the future of computing.

Bill Dally, NVIDIA Senior VP and Chief Scientist  

  • Eligibility
  • Evaluation Criteria
  • Application Instructions

Eligibility Criteria:

  • Students must have already completed their first year of PhD level studies (at the time of application)
  • Students must have majors in Computer Science, Computer Engineering, System Architecture, Electrical Engineering, or a related area
  • Students must be engaged in active research as part of their PhD thesis
  • Students must be enrolled as a full time active PhD student during the 2019-2020 academic year (9 months) of the award -- this means they should not be expecting to graduate sooner than May/June 2020
  • Note: The award must be administered through the student's university; payment will be made to the university, not directly to the student

Proposals Will be Evaluated for:

  • Student quality
  • Research quality
  • Relevance to NVIDIA

Graduate Fellowship Applications Must Include:

  • Research summary/thesis proposal - up to 2 pages, plus bibliography
  • Resume/Curriculum Vitae (CV) including contact information
  • Professor nomination letter (1 letter minimum (thesis advisor), up to 3 letters maximum -- OK to have nomination letter(s) from non-professors, as long as you have one from your thesis advisor/professor)

New Submission Portal: It is the student's responsibility to ensure that all of these items are submitted prior to the deadline. We are using a new Submission Portal, in which the student manages their own application. The student must:

  • Complete the student profile - start this now; you can go back to the portal repeatedly until you submit the final application
  • Complete your application input including resesearch summary thesis proposal and resume (CV)
  • Add contacts for the letter(s) of recommendation -- an email will automatically be sent on your behalf to each recommender you add -- be sure to add your professors/recommenders early in the process! Do not wait until close to the deadline!
  • Monitor the status of your recommendation letter(s) in the portal -- do not click on the final submission until the recommendation status shows "recommendation uploaded" for each recommendation you are expecting -- the professor deadline has been set 2 days prior to the student deadline to allow the student to ensure all documents are received before submitting -- the deadline for recommendation letters is 3pm Pacific September 26, 2018
  • Communicate with the recommender(s) to complete their letter upload on time - it is the student's responsibility to ensure their letters are received into the system
  • Submit the final application when all items are complete, and prior to the application deadline: 3pm Pacific September 28, 2018

SUBMISSIONS CLOSED ON SEPT 28 2018

Terms and Conditions

The Graduate Fellowship Award must be used to further your research. The breakdown of the award is between stipend, tuition and health insurance, in that order. The award is an unrestricted gift to be used to further the student’s research over the academic year. We ask that no overhead or indirect costs are charged to the award. Awards are not transferrable to another student. Whether it is OK to combine the NVIDIA fellowship with another fellowship depends on several factors -- please contact the NVIDIA Graduate Fellowship for details on this matter. Awards are issued to the university for disbursement, not directly to the student. Amount of the award cannot exceed stipend, tuition, and health insurance. There may also be university-specific restrictions that pertain.

TESTIMONIALS

With GPU technology changing so rapidly, it is next to impossible to do cutting edge research without access to the latest hardware as well as insight into where GPUs are going in the future. The NVIDIA fellowship provided me with not just the hardware necessary to succeed, but also provided me the opportunity to talk with NVIDIA architects to ensure that my research will have an impact far beyond the capabilities of today's GPUs.

 

— Ian Buck, Software Team, Former NVIDIA Grad Fellow

NVIDIA's recent innovations in support of high-performance computing have allowed scientists to broaden their computational horizons. In offering the Graduate Fellowship, NVIDIA demonstrates their willingness to collaborate directly with young researchers in order to put even more power in the hands of those scientists. Beyond simply providing funding, the Graduate Fellowship facilitates direct interaction between industry and academia, allowing for faster adoption of innovations across the broader community.

 

— Henry, NVIDIA Grad Fellow

Working alongside NVIDIA has allowed our group to partake in the GPU computing revolution by drastically shortening time-to-discovery, and by popularizing high-throughput computational science. We are truly honored to have NVIDIA's support in both our research and teaching

 

— Nicolas, NVIDIA Grad Fellow

Apart from being one of the most prominent platforms for showcasing ongoing research across a broad range of research areas, NVIDIA fellowship helps foster a fruitful collaboration between industry and the academia. I am fortunate to be a part of this prestigious program; NVIDIA's support has been extremely encouraging.

 

— Anjul, NVIDIA Grad Fellow

The relationship NVIDIA fosters with university researchers through its fellowship program provides a conduit for ideas and technology to flow between academia and industry. In addition to financial sponsorship, the fellowship affords student researchers a unique opportunity to cultivate a dialogue with the finest engineering minds in the industry. As a recipient of the NVIDIA Fellowship, I am grateful that the financial and intellectual support I receive from NVIDIA ensures my research is useful and relevant to the graphics industry at large.

 

—  Jared Hoberock, Research Team, Former NVIDIA Grad Fellow

"With GPU technology changing so rapidly, it is next to impossible to do cutting edge research without access to the latest hardware as well as insight into where GPUs are going in the future. The NVIDIA fellowship provided me with not just the hardware necessary to succeed, but also provided me the opportunity to talk with NVIDIA architects to ensure that my research will have an impact far beyond the capabilities of today's GPUs."

— Ian Buck, Software Team, Former NVIDIA Grad Fellow

"NVIDIA's recent innovations in support of high-performance computing have allowed scientists to broaden their computational horizons. In offering the Graduate Fellowship, NVIDIA demonstrates their willingness to collaborate directly with young researchers in order to put even more power in the hands of those scientists. Beyond simply providing funding, the Graduate Fellowship facilitates direct interaction between industry and academia, allowing for faster adoption of innovations across the broader community."

— Henry, NVIDIA Grad Fellow

"Working alongside NVIDIA has allowed our group to partake in the GPU computing revolution by drastically shortening time-to-discovery, and by popularizing high-throughput computational science. We are truly honored to have NVIDIA's support in both our research and teaching."

— Nicolas, NVIDIA Grad Fellow

"Apart from being one of the most prominent platforms for showcasing ongoing research across a broad range of research areas, NVIDIA fellowship helps foster a fruitful collaboration between industry and the academia. I am fortunate to be a part of this prestigious program; NVIDIA's support has been extremely encouraging."

— Anjul, NVIDIA Grad Fellow

"The relationship NVIDIA fosters with university researchers through its fellowship program provides a conduit for ideas and technology to flow between academia and industry. In addition to financial sponsorship, the fellowship affords student researchers a unique opportunity to cultivate a dialogue with the finest engineering minds in the industry. As a recipient of the NVIDIA Fellowship, I am grateful that the financial and intellectual support I receive from NVIDIA ensures my research is useful and relevant to the graphics industry at large."

—  Jared Hoberock, Research Team, Former NVIDIA Grad Fellow

Graduate Fellowships FAQs

  • Do you have a specific research field requirement in EE, CE, or CS?

    No. There are many ways that Engineering fields can touch NVIDIA, and we are open to considering them.

  • I am just starting my PhD this Fall. Am I eligible to apply?

    You should have completed your first year of your PhD program at the time of application. The requirement is not black and white, but the idea is that after one year, there is a track record of research and experience. With no Ph.D. experience, there is very little to judge the student's research on. So, it's certainly fine to apply, but very unlikely to be awarded. Of course, in special situations, there may be enough history to make a compelling application. We suggest you look at the list of past recipients and see whether your application is comparable. If so, then go ahead and apply and see where your application falls in the review process compared to all the other applications.

  • What are my chances of being awarded a Graduate Fellowship?

    The Graduate Fellowship Awards are very competitive. Many qualified candidates will not receive Graduate Fellowships, as the competition is of very high quality. We received over 280 applicants for the 2017/2018 academic year and were only able to award 11 Graduate Fellowships. The finalists include students with multiple papers in top venues showcasing their results in GPU computing, or absolutely fascinating and exciting research proposals, or both. In all cases, they have outstanding letters of recommendation with many details and facts to back up their advisor's stated high opinion.

  • Is there a limit on how many Graduate Fellowship Awards one PhD student can receive from NVIDIA?

    No. At this time there is no limit on the number of times you can be awarded the NVIDIA Graduate Fellowship Award. Keep in mind you can only receive one per year!

  • Is there a limit to the number of NVIDIA Graduate Fellowship Awards granted per University or per Research Team?

    No. At this time, there is no limit per University nor is there a limit per graduate team provided the research is different and interesting to NVIDIA.

  • I am a current Graduate Fellowship Recipient, can I apply again?

    Yes. You can apply each year you are enrolled in your research project until you get your PhD You can follow the same guidelines and application process as any new applicant.

  • Are International PhD students eligible?

    Yes. International students are eligible to apply. Keep in mind, the Graduate Fellowship Award amount may vary by country, region or location.

  • Can I have more than one Professor Nomination Letter?

    Yes, you can have up to three Professor Nomination Letters. It is OK to have nomination letter(s) from non-professors, as long as you have one from your thesis advisor/professor.

  • What if my professor/advisor doesn’t submit the Professor Nomination Letter?

    We do require at least one Professor Nomination Letter from your thesis advisor. Please be sure to add your recommendation contacts into the portal early in the process so that your professor(s) have sufficient notice and time to compose and upload their letter. Please remember it is the student's responsibility to ensure the professor nominations are turned in on time, and following up with them prior to the deadline if they haven't uploaded their letter into the portal.

  • How are the Graduate Fellowship Recipients selected?

    NVIDIA's Graduate Fellowship Program has a committee of engineers headed by our Chief Scientist, Bill Dally. The committee is comprised of 25-30 senior technical staff and managers from research and development groups across the company. This committee reviews all applicants competitively in several review sessions. This is a very intensive process. This review process usually takes 4-6 weeks.  Unfortunately, many qualified candidates will not be selected due to the high quality of proposals and limited number of awards available.

  • Can I work a part-time job during my Fellowship?

    The goal of covering your stipend in full is to release you from the need to work as a TA/RA or another outside job, and allow you to focus on your research. However, we realize that sometimes part-time jobs provide a benefit to the student other than money, and in those cases as long as the work is beneficial to the progress of your PhD and a conflict of interest does not exist between NVIDIA and the other entity, this would be acceptable to NVIDIA. If there is any doubt on the conflict of interest, please check with your NVIDIA Fellowship contact.