research intern phd summer 2023 google

Internships

Internships in business, engineering and technology, and more

You can explore all open internships on the Google Careers site.

Our interns

#GoogleInterns work across Google, including being part of various teams like software engineering, business, user experience, and more. With internships across the globe, we offer many opportunities to grow with us and help create products and services used by billions. Come help us build for everyone.

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The internships below are not exhaustive, and may or may not be currently available, but provide a taste of the various internships Google offers.

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Business Internships

Business internships include multiple teams and roles within the business world at Google. Available outside of the united States, the internship is for undergraduate and graduate students with qualifications and application dates varying by location.

STEP Internship

STEP (Student Training in Engineering Program) is a development project that is focused on students that have a passion for technology. Requirements and application dates vary location.

Software Engineering Internship

Software engineering internships are available throughout the globe to undergraduate and graduate/PhD students, with rolling application dates (depending on location). Our interns have a broad set of technical skills, enable them to tackle some of technology's greatest challenges.

Associate Product Manager Internship

Our interns bridge technical and business worlds, designing technology with engineers and then zooming out of lead matrix teams such as Sales, Marketing, and Finance, to name a few. The internship is available globally, with varying requirements and application dates.

Legal Internship

Offered in certain countries outside of North America, the Legal internship is open to students majoring or specializing in legal studies. Applications generally open in October.

BOLD Internship

BOLD interns join teams across Sales, Marketing, and People Operations to identify challenges, collaborate on building solutions, and drive meaningful change for clients and users - all while developing skills and building careers. Applications open in October for rising undergraduate seniors.

MBA Internship

Our MBA internships are offered throughout the globe, and interns are able to put their education to use on day one. Available to students currently enrolled in a MBA program (with specific rquirements tied to the internship location, and applications open in September and October).

Korean Veteran Business Internship

Veteran Business Internship is designed for students who are direct descendants of Korean veterans. It is a 6-month upskilling program and includes multiple teams and roles in the business world at Google.

Hardware Engineering Internship

As a Hardware Engineering Intern, you will work on our core Consumer Hardware products. The teams you work with design, develop, and deploy next generation consumer hardware while ensuring that this equipment is reliable.

Google Internship FAQs

Want to learn more about internships at Google? This collection shares some of the most common questions we get from across the globe (for the best info on particular roles, search our jobs page and check each role’s job description). Want more help to prepare? Head to our Google Students YouTube page and find our Virtual Career Fair, tips, info, and more.

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SCHOLARSHIP

Generation Google Scholarship (APAC)

Designed to help students pursuing computer science degrees excel in technology and become leaders in the field. We strongly encourage women to apply.

APPRENTICESHIP

Apprenticeships

Apprenticeships join different teams to gain practical skills while at Google, and student towards an externally-recognized qualification.

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All Intern Salaries

Research Intern

Summer 2024

$67.78 / hr

Mountain View, CA – $2,000 / mo housing, company provided transportation, $3000 relocation

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• 🇮🇳 INR - ₹ Indian Rupee
• Indic (Indian Sub) 10,00,000 - 10L 10,00,000 10L

Google PhD Fellowship recipients

Previous years:, algorithms, optimizations and markets.

Brice Huang, Massachusetts Institute of Technology

Debajyoti Kar, Indian Institute of Science

Jamie Tucker-Foltz, Harvard University

Joakim Blikstad, KTH Royal Institute of Technology

Mahdieh Labani, Macquarie University

Rehema Hamis Mwawado, University of Rwanda

Uddalok Sarkar, Indian Statistical Institute Kolkata

Computational Neural and Cognitive Sciences

Gizem Özdil, École polytechnique fédérale de Lausanne

Sreejan Kumar, Princeton University

Bridget Chak, University of Chicago

Li-Wen Chiu, National Yang Ming Chiao Tung University

Md. Saiful Islam, University of Rochester

Rutendo Jakachira, Brown University

Tsai-Min Chen, National Taiwan University

Wenhao Gao, Massachusetts Institute of Technology

Human Computer Interaction

Brianna Wimer, University of Notre Dame

Emily Kuang, Rochester Institute of Technology

Eunkyung Jo, University of California - Irvine

Georgianna Lin, University of Toronto

Gustavo Pacheco Santiago, Universidad Nacional Autónoma de México

Marcelo Marques da Rocha, Universidade Federal Fluminense

Yulia Goldenberg, Ben Gurion University

Zixiong Su, The University of Tokyo

Machine Learning

Berivan Isik, Stanford University

Blake Bordelon, Harvard University

Cristhian Delgado Fajardo, University of Otago

Denish Azamuke, Makerere University

Fuzhao Xue, National University of Singapore

Heinrich Pieter van Deventer, University of Pretoria

Imane Araf, Mohammed VI Polytechnic University

Itamar Franco Salazar Reque, Pontificia Universidad Católica del Perú

Jihoon Tack, Korea Advanced Institute of Science and Technology

Julliet Chepngeno Kirui, Strathmore University

Krystal Dacey, Charles Sturt University

Laura Smith, University of California - Berkeley

Marcos Paulo Silva Gôlo, ​​Universidade de São Paulo

Melisa Yael Vinograd, Universidad de Buenos Aires

Miriam Rateike, Saarland University

Mitchell Wortsman, University of Washington

Natalia Gil Canto, Universidade Estadual de Campinas

Nicolás Esteban Valenzuela Figueroa, Universidad de Chile

Omprakash Chakraborty, Indian Institute of Technology Kharagpur

S. Durga, Indian Institute of Technology Bombay

Strato Angsoteng Bayitaa, C.K. Tedam University of Technology and Applied Sciences

Yiding Jiang, Carnegie Mellon University

Yifan Zhang, National University of Singapore

Machine Perception, Speech Technology and Computer Vision

Antoine Yang, National Institute for Research in Digital Science and Technology (Inria)

Astitva Srivastava, International Institute of Information Technology Hyderabad

Chen Yu, National University of Singapore

Ethan Tseng, Princeton University

Matheus Viana da Silva, Universidade Federal de São Carlos

Sunghwan Hong, Korea University

Sungyeon Kim, Pohang University of Science and Technology

Vincent Milimo Masilokwa Punabantu, University of Cape Town

Yanxi Li, The University of Sydney

Yosef Gandelsman, University of California - Berkeley

Ziqi Huang, Nanyang Technological University

Mobile Computing

Ke Sun, University of California - San Diego

Kyungjin Lee, Seoul National University

Natural Language Processing

Allahsera Auguste Tapo, Rochester Institute of Technology

Cheng-Han Chiang, National Taiwan University

Liunian Li, University of California - Los Angeles

Sarah Masud, Indraprastha Institute of Information Technology Delhi

Sumanth Doddapaneni, Indian Institute of Technology Madras

Zhiqing Sun, Carnegie Mellon University

Privacy and Security

Jiayuan Ye, National University of Singapore

Miranda Wei, University of Washington

Neha Jawalkar, Indian Institute of Science

Yihui Zeng, Arizona State University

Programming Technology and Software Engineering

Aaditya Naik, University of Pennsylvania

Thanh Le-Cong, The University of Melbourne

Quantum Computing

Diego Hernando Useche Reyes, Universidad Nacional de Colombia

Elies Gil-Fuster, Free University of Berlin

Juan David Nieto García, Universidade Estadual de Campinas

Lia Yeh, University of Oxford

Structured Data and Database Management

Zezhou Huang, Columbia University

Systems and Networking

Jennifer Switzer, University of California - San Diego

Jiaxin Lin, University of Texas at Austin

Jinhyung Koo, Daegu Gyeongbuk Institute of Science & Technology

Maurine Chepkoech, University of Cape Town

Qinghao Hu, Nanyang Technological University

Anjali Gupta, Indian Institute of Technology Delhi

Shunhua Jiang, Columbia University

Shyam Sivasathya Narayanan, Massachusetts Institute of Technology

Venkata Naga Sreenivasulu Karnati, Indian Institute of Science

Yang P. Liu, Stanford University

Aditi Jha, Princeton University

Klavdia Zemlianova, New York University

Devon Jarvis, University of the Witwatersrand

Emily Schwenger, Albert Einstein College of Medicine

Reihaneh Torkzadehmahani, TU Munich

Xin Liu, University of Washington

Qian Niu, Kyoto University

Karthik Mahadevan, University of Toronto

Meena Muralikumar, University of Washington

Nika Nour, University of California - Irvine

Pang Suwanaposee, University of Canterbury

Ryan Louie, Northwestern University

Tiffany Li, University of Illinois - Urbana-Champaign

Zhongyi Zhou, The University of Tokyo

Eunji Kim, Seoul National University

Hayeon Lee, Korea Advanced Institute of Science and Technology

Julius von Kügelgen, Max Planck Institute for Intelligent Systems

Kaloma Usman Majikumna, Euromed University of Fes, Morocco

Lily Xu, Harvard University

Maksym Andriushchenko, EPFL

Pierre Marion, Fondation Sciences Mathématiques de Paris

Shashank Rajput, University of Wisconsin - Madison

Sheheryar Zaidi, University of Oxford

Sindy Löwe, University of Amsterdam

Tan Wang, Nanyang Technological University

Xiaobo Xia, University of Sydney

Yixin Liu, Monash University

Efthymios Tzinis, University of Illinois - Urbana-Champaign

Elizabeth Ndunge Mutua, Strathmore University

Haipeng Xiong, National University of Singapore

Jianyuan Guo, University of Sydney

Jiawei Ren, Nanyang Technological University

Juhong Min, Pohang University of Science and Technology

Liliane Momeni, University of Oxford

Qianqian Wang, Cornell University

Shuo Yang, University of Technology Sydney

Tahir Javed, Indian Institute of Technology Madras

Wei-Ting Chen, National Taiwan University

Yuming Jiang. Nanyang Technological University

Yu-Ying Yeh, University of California - San Diego

Binbin Xie, University of Massachusetts - Amherst

Clara Isabel Meister, ETH Zurich

Julia Mendelsohn, University of Michigan

Sachin Kumar, Carnegie Mellon University

Saley Vishal Vivek, Indian Institute of Technology Delhi

Swarnadeep Saha, University of North Carolina - Chapel Hill

Shuyi Wang, The University of Queensland

Thong Nguyen, National University of Singapore

Ussen Kimanuka, Pan African University Institute For Basic Sciences, Technology and Innovation

Amy Elizabeth Gooden, University Kwazulu-Natal

Promise Ricardo Agbedanu, University of Rwanda

Alexander Bienstock, New York University

Daniel De Almeida Braga, Universite Rennes 1

Gaurang Bansal, National University of Singapore

Nicolas Huaman Groschopf, Leibniz University of Hanover

Simon Spies, Max Planck Institute for Software Systems

Ilkwon Byun, Seoul National University

Margaret Fortman, University of Wisconsin - Madison

Oscar Higgott, University College London

Sam Gunn, University of California - Berkeley

Recommender Systems

Jessie J. Smith, University of Colorado - Boulder

Wenjie Wang, National University of Singapore

Nikolaos Tziavelis, Northeastern University

Humphrey Owuor Otieno, University of Cape Town

Jiarong Xing, Rice University

Shweta Pandey, Indian Institute of Science

Sunil Kumar, Indraprastha Institute of Information Technology Delhi

Yang Zhou, Harvard University

Yujeong Choi, Korea Advanced Institute of Science and Technology

Daniel Mutembesa, Makerere University

Kevin Tian, Stanford University

Prerona Chatterjee, Tata Institute of Fundamental Research

Sampson Wong, The University of Sydney

Santhoshini Velusamy, Harvard University

Sruthi Gorantla, Indian Institute of Science

Wenshuo Guo, University of California, Berkeley

Malvern Madondo, Emory University

Steffen Schneider, University of Tübingen

Nalini Singh, Massachusetts Institute of Technology

Roman Koshkin, Okinawa Institute of Science and Technology

Vishwali Mhasawade, New York University

Anupriya Tuli, Indraprastha Institute of Information Technology - Delhi

Chia-Hsing Chiu, National Taiwan University of Science and Technology

Dennis Makafui Dogbey, University of Cape Town

George Hope Chidziwisano, Michigan State University

Harmanpreet Kaur, University of Michigan

Srishti Palani, University of California, San Diego

Amir-Hossein Karimi, Max Planck Institute for Intelligent Systems

Anastasia Koloskova, EPFL, Lausanne

Anirudh Goyal, University of Montreal

Daniel Kang, Stanford University

Elena Fillola, University of Bristol

Emmanuel Chinyere Echeonwu, Nnamdi Azikiwe University, Nigeria

Gal Yona, Weizmann Institute of Science

Hae Beom Lee, KAIST

Jaekyeom Kim, Seoul National University

Logan Engstrom, Massachusetts Institute of Technology

Piyushi Manupriya, Indian Institute of Technology - Hyderabad

Qinbin Li, National University of Singapore

Shen Li, National University of Singapore

Shubhada Agrawal, Tata Institute of Fundamental Research

Theekshana Dissanayake, Queensland University of Technology

Tianyuan Jin, National University of Singapore

Yun Li, The University of New South Wales

Andrea Burns, Boston University

Fangzhou Hong, Nanyang Technological University

Hai-Bin Wu, National Taiwan University

Jogendra Nath Kundu, Indian Institute of Science

Kelvin C.K. Chan, Nanyang Technological University

Sanghyun Woo, KAIST

Sara El-Ateif, National School For Computer Science (ENSIAS)

Soo Ye Kim, KAIST

Tewodros Amberbir Habtegebrial, Technical University of Kaiserslautern

Xinlong Wang, The University of Adelaide

Xueting Li, University of California, Merced

Zhiqin Chen, Simon Fraser University

Byungjin Jun, Northwestern University

Soundarya Ramesh, National University of Singapore

Derguene Mbaye, Universite Cheikh Anta Diop

Eya Hammami, LARODEC

Haoyue Shi, Toyota Technological Institute at Chicago

Kalpesh Krishna, University of Massachusetts Amherst

Peter Hase, University of North Carolina at Chapel Hill

Rochelle Choenni, University of Amsterdam

Chandan Kumar, Indian Institute of Technology - Kharagpur

Kevin Loughlin, University of Michigan

Teodora Baluta, National University of Singapore

Yuqing Zhu, University of California, Santa Barbara

Aishwarya Sivaraman, University of California, Los Angeles

Jenna Wise, Carnegie Mellon University

Alicja Dutkiewicz, Leiden University

Hsin-Yuan Huang, California Institute of Technology

Mykyta Onizhuk, The University of Chicago

Sayantan Chakraborty, Tata Institute of Fundamental Research

Brian Kundinger, Duke University

Yiru Chen, Columbia University

Yu Meng, University of Illinois at Urbana-Champaign

Zheng Wang, Nanyang Technological University

Aishwariya Chakraborty, Indian Institute of Technology - Kharagpur

Alireza Farshin, KTH Royal Institute of Technology

Erika Hunhoff, University of Colorado Boulder

S. VenkataKeerthy, Indian Institute of Technology - Hyderabad

Soroush Ghodrati, University of California, San Diego

Yejin Lee, Seoul National University

Jan van den Brand, KTH Royal Institute of Technology

Mahsa Derakhshan, University of Maryland, College Park

Sidhanth Mohanty, University of California, Berkeley

Computational Neuroscience

Connor Brennan, University of Pennsylvania

Abdelkareem Bedri, Carnegie Mellon University

Brendan David-John, University of Florida

Hiromu Yakura, University of Tsukuba

Manaswi Saha, University of Washington

Muratcan Cicek, University of California, Santa Cruz

Prashan Madumal, University of Melbourne

Alon Brutzkus, Tel Aviv University

Chin-Wei Huang, Universite de Montreal

Eli Sherman, Johns Hopkins University

Esther Rolf, University of California, Berkeley

Imke Mayer, Fondation Sciences Mathématique de Paris

Jean Michel Sarr, Cheikh Anta Diop University

Lei Bai, University of New South Wales

Nontawat Charoenphakdee, The University of Tokyo

Preetum Nakkiran, Harvard University

Sravanti Addepalli, Indian Institute of Science

Taesik Gong, Korea Advanced Institute of Science and Technology

Vihari Piratla, Indian Institute of Technology - Bombay

Vishakha Patil, Indian Institute of Science

Wilson Tsakane Mongwe, University of Johannesburg

Xinshi Chen, Georgia Institute of Technology

Yadan Luo, University of Queensland

Benjamin van Niekerk, University of Stellenbosch

Eric Heiden, University of Southern California

Gyeongsik Moon, Seoul National University

Hou-Ning Hu, National Tsing Hua University

Nan Wu, New York University

Shaoshuai Shi, The Chinese University of Hong Kong

Yifan Liu, University of Adelaide

Yu Wu, University of Technology Sydney

Zhengqi Li, Cornell University

Xiaofan Zhang, University of Illinois at Urbana-Champaign

Anjalie Field, Carnegie Mellon University

Mingda Chen, Toyota Technological Institute at Chicago

Shang-Yu Su, National Taiwan University

Yanai Elazar, Bar-Ilan

Julien Gamba, Universidad Carlos III de Madrid

Shuwen Deng, Yale University

Yunusa Simpa Abdulsalm, Mohammed VI Polytechnic University

Adriana Sejfia, University of Southern California

John Cyphert, University of Wisconsin-Madison

Amira Abbas, University of KwaZulu-Natal

Mozafari Ghoraba Fereshte, EPFL

Yanqing Peng, University of Utah

Huynh Nguyen Van, University of Technology Sydney

Michael Sammler, Saarland University, MPI-SWS

Sihang Liu, University of Virginia

Yun-Zhan Cai, National Cheng Kung University

Aidasadat Mousavifar, EPFL Ecole Polytechnique Fédérale de Lausanne

Peilin Zhong, Columbia University

Siddharth Bhandari, Tata Institute of Fundamental Research

Soheil Behnezhad, University of Maryland at College Park

Zhe Feng, Harvard University

Caroline Haimerl, New York University

Mai Gamal, German University in Cairo

Catalin Voss, Stanford university

Hua Hua, Australian National University

Zhanna Sarsenbayeva, University of Melbourne

Abdulsalam Ometere Latifat, African University of Science and Technology Abuja

Adji Bousso Dieng, Columbia University

Anshul Mittal, IIT Delhi

Blake Woodworth, Toyota Technological Institute at Chicago

Diana Cai, Princeton University

Francesco Locatello, ETH Zurich

Ihsane Gryech, International University Of Rabat, Morocco

Jaemin Yoo, Seoul National University

Maruan Al-Shedivat, Carnegie Mellon University

Ousseynou Mbaye, Alioune Diop University of Bambey

Rendani Mbuvha, University of Johannesburg

Shibani Santurkar, Massachusetts Institute of Technology

Takashi Ishida, University of Tokyo

Chenxi Liu, Johns Hopkins University

Kayode Kolawole Olaleye, Stellenbosch University

Ruohan Gao, The University of Texas at Austin

Tiancheng Sun, University of California San Diego

Xuanyi Dong, University of Technology Sydney

Yu Liu, Chinese University of Hong Kong

Zhi Tian, University of Adelaide

Naoki Kimura, University of Tokyo

Abigail See, Stanford University

Ananya Sai B, IIT Madras

Byeongchang Kim, Seoul National University

Daniel Patrick Fried, UC Berkeley

Hao Peng, University of Washington

Reinald Kim Amplayo, University of Edinburgh

Sungjoon Park, Korea Advanced Institute of Science and Technology

Ajith Suresh, Indian Institute of Science

Itsaka Rakotonirina, Inria Nancy

Milad Nasr, University of Massachusetts Amherst

Sarah Ann Scheffler, Boston University

Caroline Lemieux, UC Berkeley

Conrad Watt, University of Cambridge

Umang Mathur, University of Illinois at Urbana-Champaign

Amy Greene, Massachusetts Institute of Technology

Leonard Wossnig, University College London

Yuan Su, University of Maryland at College Park

Amir Gilad, Tel Aviv University

Nofar Carmeli, Technion

Zhuoyue Zhao, University of Utah

Chinmay Kulkarni, University of Utah

Nicolai Oswald, University of Edinburgh

Saksham Agarwal, Cornell University

Emmanouil Zampetakis, Massachusetts Institute of Technology

Manuela Fischer, ETH Zurich

Pranjal Dutta, Chennai Mathematical Institute

Thodoris Lykouris, Cornell University

Yuan Deng, Duke University

Ella Batty, Columbia University

Neha Spenta Wadia, University of California - Berkeley

Reuben Feinman, New York University

Human-Computer Interaction

Gierad Laput, Carnegie Mellon University

Mike Schaekermann, University of Waterloo

Minsuk (Brian) Kahng, Georgia Institute of Technology

Niels van Berkel, The University of Melbourne

Siqi Wu, Australian National University

Xiang Zhang, The University of New South Wales

Abhijeet Awasthi, Indian Institute of Technology - Bombay

Aditi Raghunathan, Stanford University

Futoshi Futami, University of Tokyo

Lin Chen, Yale University

Qian Yu, University of Southern California

Ravid Shwartz-Ziv, Hebrew University

Shuai Li, Chinese University of Hong Kong

Shuang Liu, University of California - San Diego

Stephen Tu, University of California - Berkeley

Steven James, University of the Witwatersrand

Xinchen Yan, University of Michigan

Zelda Mariet, Massachusetts Institute of Technology

Machine Perception, Speech Technology, and Computer Vision

Antoine Miech, INRIA

Arsha Nagrani, University of Oxford

Arulkumar S, Indian Institute of Technology - Madras

Joseph Redmon, University of Washington

Raymond Yeh, University of Illinois - Urbana-Champaign

Shanmukha Ramakrishna Vedantam, Georgia Institute of Technology

Lili Wei, Hong Kong University of Science & Technology

Rizanne Elbakly, Egypt-Japan University of Science and Technology

Shilin Zhu, University of California - San Diego

Anne Cocos, University of Pennsylvania

Hongwei Wang, Shanghai Jiao Tong University

Jonathan Herzig, Tel Aviv University

Rotem Dror, Technion - Israel Institute of Technology

Shikhar Vashishth, Indian Institute of Science - Bangalore

Yang Liu, University of Edinburgh

Yoon Kim, Harvard University

Zhehuai Chen, Shanghai Jiao Tong University

Imane khaouja, Université Internationale de Rabat

Aayush Jain, University of California - Los Angeles

Gowtham Kaki, Purdue University

Joseph Benedict Nyansiro, University of Dar es Salaam

Reyhaneh Jabbarvand, University of California - Irvine

Victor Lanvin, Fondation Sciences Mathématiques de Paris

Erika Ye, California Institute of Technology

Lingjiao Chen, University of Wisconsin - Madison

Andrea Lattuada, ETH Zurich

Chen Sun, Tsinghua University

Lana Josipovic, EPFL

Michael Schaarschmidt, University of Cambridge

Rachee Singh, University of Massachusetts - Amherst

Stephen Mallon, The University of Sydney

Chiu Wai Sam Wong, University of California, Berkeley

Eric Balkanski, Harvard University

Haifeng Xu, University of Southern California

Motahhare Eslami, University of Illinois, Urbana-Champaign

Sarah D'Angelo, Northwestern University

Sarah Mcroberts, University of Minnesota - Twin Cities

Sarah Webber, The University of Melbourne

Aude Genevay, Fondation Sciences Mathématiques de Paris

Dustin Tran, Columbia University

Jamie Hayes, University College London

Jin-Hwa Kim, Seoul National University

Ling Luo, The University of Sydney

Martin Arjovsky, New York University

Sayak Ray Chowdhury, Indian Institute of Science

Song Zuo, Tsinghua University

Taco Cohen, University of Amsterdam

Yuhuai Wu, University of Toronto

Yunhe Wang, Peking University

Yunye Gong, Cornell University

Avijit Dasgupta, International Institute of Information Technology - Hyderabad

Franziska Müller, Saarland University - Saarbrücken GSCS and Max Planck Institute for Informatics

George Trigeorgis, Imperial College London

Iro Armeni, Stanford University

Saining Xie, University of California, San Diego

Yu-Chuan Su, University of Texas, Austin

Sangeun Oh, Korea Advanced Institute of Science and Technology

Shuo Yang, Shanghai Jiao Tong University

Bidisha Samanta, Indian Institute of Technology Kharagpur

Ekaterina Vylomova, The University of Melbourne

Jianpeng Cheng, The University of Edinburgh

Kevin Clark, Stanford University

Meng Zhang, Tsinghua University

Preksha Nama, Indian Institute of Technology Madras

Tim Rocktaschel, University College London

Romain Gay, ENS - École Normale Supérieure

Xi He, Duke University

Yupeng Zhang, University of Maryland, College Park

Programming Languages, Algorithms and Software Engineering

Christoffer Quist Adamsen, Aarhus University

Muhammad Ali Gulzar, University of California, Los Angeles

Oded Padon, Tel-Aviv University

Amir Shaikhha, EPFL CS

Jingbo Shang, University of Illinois, Urbana-Champaign

Ahmed M. Said Mohamed Tawfik Issa, Georgia Institute of Technology

Khanh Nguyen, University of California, Irvine

Radhika Mittal, University of California, Berkeley

Ryan Beckett, Princeton University

Samaneh Movassaghi, Australian National University

Google Australia PhD Fellowships

Chitra Javali, Security, The University of New South Wales

Dana McKay, Human Computer Interaction, The University of Melbourne

Kwan Hui Lim, Machine Learning, The University of Melbourne

Weitao Xu, Machine Perception, The University of Queensland

Google East Asia PhD Fellowships

Chungkuk YOO, Mobile Computing, Korea Advanced Institute of Science and Technology

Hong ZHANG, Systems and Networking, The Hong Kong University of Science and Technology

Quanming YAO, Machine Learning, The Hong Kong University of Science and Technology

Tian TAN, Speech Technology, Shanghai Jiao Tong University

Woosang LIM, Machine Learning, Korea Advanced Institute of Science and Technology

Ying CHEN, Systems and Networking, Tsinghua University

Google India PhD Fellowships

Arpita Biswas, Algorithms, Indian Institute of Science

Aniruddha Singh Kushwaha, Networking, Indian Institute of Technology Bombay

Anirban Santara, Machine Learning, Indian Institute of Technology Kharagpur

Gurunath Reddy, Speech Technology, Indian Institute of Technology Kharagpur

Google North America, Europe and the Middle East PhD Fellowships

Cameron, Po-Hsuan Chen, Computational Neuroscience, Princeton University

Grace Lindsay, Computational Neuroscience, Columbia University

Martino Sorbaro Sindaci, Computational Neuroscience, The University of Edinburgh

Koki Nagano, Human-Computer Interaction, University of Southern California

Arvind Satyanarayan, Human-Computer Interaction, Stanford University

Amy Xian Zhang, Human-Computer Interaction, Massachusetts Institute of Technology

Olivier Bachem, Machine Learning, Swiss Federal Institute of Technology Zurich

Tianqi Chen, Machine Learning, University of Washington

Emily Denton, Machine Learning, New York University

Yves-Laurent Kom Samo, Machine Learning, University of Oxford

Daniel Jaymin Mankowitz, Machine Learning, Technion - Israel Institute of Technology

Lucas Maystre , Machine Learning, École Polytechnique Fédérale de Lausanne

Arvind Neelakantan, Machine Learning, University of Massachusetts, Amherst

Ludwig Schmidt, Machine Learning, Massachusetts Institute of Technology

Shandian Zhe, Machine Learning, Purdue University, West Lafayette

Eugen Beck, Machine Perception, RWTH Aachen University

Yu-Wei Chao, Machine Perception, University of Michigan, Ann Arbor

Wei Liu, Machine Perception, University of North Carolina at Chapel Hill

Aron Monszpart, Machine Perception, University College London

Thomas Schoeps, Machine Perception, Swiss Federal Institute of Technology Zurich

Chia-Yin Tsai, Machine Perception, Carnegie Mellon University

Hossein Esfandiari, Market Algorithms, University of Maryland, College Park

Sandy Heydrich, Market Algorithms, Saarland University - Saarbrucken GSCS

Rad Niazadeh, Market Algorithms, Cornell University

Sadra Yazdanbod, Market Algorithms, Georgia Institute of Technology

Lei Kang, Mobile Computing, University of Wisconsin

Tauhidur Rahman, Mobile Computing, Cornell University

Yuhao Zhu, Mobile Computing, University of Texas, Austin

Tamer Alkhouli, Natural Language Processing, RWTH Aachen University

Jose Camacho Collados, Natural Language Processing, Sapienza - Università di Roma

Kartik Nayak, Privacy and Security, University of Maryland, College Park

Nicolas Papernot, Privacy and Security, Pennsylvania State University

Damian Vizar, Privacy and Security, École Polytechnique Fédérale de Lausanne

Xi Wu, Privacy and Security, University of Wisconsin

Marcelo Sousa, Programming Languages and Software Engineering, University of Oxford

Xiang Ren, Structured Data and Database Management, University of Illinois, Urbana-Champaign

Andrew Crotty, Systems and Networking, Brown University

Ilias Marinos, Systems and Networking, University of Cambridge

Kay Ousterhout, Systems and Networking, University of California, Berkeley

Bahar Salehi, Natural Language Processing, University of Melbourne

Siqi Liu, Computational Neuroscience, University of Sydney

Qian Ge, Systems, University of New South Wales

Bo Xin, Artificial Intelligence, Peking University

Xingyu Zeng, Computer Vision, The Chinese University of Hong Kong

Suining He, Mobile Computing, The Hong Kong University of Science and Technology

Zhenzhe Zheng, Mobile Networking, Shanghai Jiao Tong University

Jinpeng Wang, Natural Language Processing, Peking University

Zijia Lin, Search and Information Retrieval, Tsinghua University

Shinae Woo, Networking and Distributed Systems, Korea Advanced Institute of Science and Technology

Jungdam Won, Robotics, Seoul National University

Palash Dey, Algorithms, Indian Institute of Science

Avisek Lahiri, Machine Perception, Indian Institute of Technology Kharagpur

Malavika Samak, Programming Languages and Software Engineering, Indian Institute of Science

Google Europe and the Middle East PhD Fellowships

Heike Adel, Natural Language Processing, University of Munich

Thang Bui, Speech Technology, University of Cambridge

Victoria Caparrós Cabezas, Distributed Systems, Swiss Federal Institute of Technology Zurich

Nadav Cohen, Machine Learning, The Hebrew University of Jerusalem

Josip Djolonga, Probabilistic Inference, Swiss Federal Institute of Technology Zurich

Jakob Julian Engel, Computer Vision, Technische Universität München

Nikola Gvozdiev, Computer Networking, University College London

Felix Hill, Language Understanding, University of Cambridge

Durk Kingma, Deep Learning, University of Amsterdam

Massimo Nicosia, Statistical Natural Language Processing, University of Trento

George Prekas, Operating Systems, École Polytechnique Fédérale de Lausanne

Roman Prutkin, Graph Algorithms, Karlsruhe Institute of Technology

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Summer Research Internship

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The Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI) is committed to advancing AI research in medicine for public good, promoting health equity and excellence in healthcare. In this spirit, we are excited to launch our annual Summer Research Internship for high school students interested in exploring technical and clinical aspects of AI in healthcare.

View our Stanford AIMI 2024 Summer Programs Info Sheet for a summary of our offerings this summer for high school students.

Program overview.

During this two-week virtual program, we aim to spark interest and empower the next generation of AI pioneers in medicine. On a day-to-day, the internship generally consists of: 

• Introductory and technical lectures on AI in healthcare fundamentals
• Mentoring activities with Stanford Student Leads and researchers 
• Hands-on group working sessions for research projects
• Social activities
• Virtual Career Lunch and Learns with guest speakers representing academia, industry, non-profit, government. etc. 

An extended independent research internship opportunity may be available for interested program participants. Our hope is to inspire students to develop innovative AI solutions to advance human health. Students who attend the entirety of the internship will receive a Certificate of Completion once the program is complete. 

This year we will also be holding an AI in Medicine Bootcamp program for high school students. Learn more about the Bootcamp here .

There is no fee to apply or to participate in this unpaid internship program. We will be adhering to Stanford's policies for COVID-19 and programs and activities involving minors .

A recording of the AIMI High School Summer Program (Research Internship & AI Bootcamp) Info and Q&A Session that was held on January 20, 2024, can be viewed here . 

• Virtual Info Session: January 20th, 2024 ( Recording available here ). This info session is optional and not required to be eligible to apply for the internship. 
• Program dates: June 17-28, 2024 (Mon-Fri, 9am-1pm Pacific Time, ONLINE)
• Application opens:  January 13, 2024, apply here
• Application deadline:  March 31, 2024, at 11:59pm Pacific Time
• Decision notifications:  Around May 1, 2024

Eligibility

• Must be high school students (entering 9th grade through 12th grade in Fall 2024) 
• Must be over the age of 14 by the start of the program
• Strong preference for students with strong math and/or computer programming skills and/or experience with a healthcare project
• Due to limited space, we expect students to commit to participating for the full-day agenda (9am-12pm) throughout the entirety of the 2-week program
• US Applicants only

Stanford AIMI embraces inclusion, integrity, diversity, and team-science as pillars for success. We encourage students from all backgrounds to apply, particularly students from groups under-represented in AI, including, but not limited to, first generation students, students from varying socioeconomic backgrounds, students with disabilities, students who are members of federally recognized tribes, students who have been underrepresented in the field on the basis of gender identity or expression of sexual orientation, or students with work, educational, or life experiences that contribute to the diversity of the field of AI in medicine.  Applications are open to individuals of all backgrounds and will be reviewed and selections made in conformance with applicable law.

Application

The online application consists of questions related to your background, short-essay questions and uploading your CV/resume and unofficial transcript. You will receive a copy of your completed application upon successful submission. Applicants who apply for the internship will be given the option on the application to be considered for the AIMI Summer Bootcamp 2024 without having to apply separately. 

Please email [email protected] for any questions.

Frequently Asked Questions (FAQs)

Is there an application fee?

There is no fee to apply to or participate in this program.

How many students will be accepted into the program?

The 2022 and 2023 Summer Internship cohort consisted of 20 high school student interns, and we expect similar numbers for the 2024 cohort. 

Do you accept applications after the March 31 deadline?

We receive a high volume of applications during the application period and are not accepting any additional applications past the deadline.

Are international students able to participate?

Due to the overwhelming number of applications we receive, the 2024 program will be geared towards students residing in the US. We invite international students to participate in our year-round NextGen webinar series. 

Can students include letters of recommendation in their application? 

Letters of recommendation are not a requirement to complete the application and therefore may not be considered during the selection process.

Why do I get an error message when trying to access the application link?

You are likely logged into a Google account from an organization that does not allow you to share files outside of your organization. Please double check this setting and if the problem persists, try submitting from a non-restricted account.

I do not have a background in computer science or coding but am interested in the internship. Can I still apply?

For the Summer 2024 Internship program, we have a strong preference towards students with a strong computer science, math, and/or biology background. Students with little to no coding experience are encouraged to explore the Summer AI Bootcamp.

What is the difference between the Summer Research Internship and Summer AI Bootcamp?

The Summer Research Internship geared towards students with strong technical skills and is more project-focused, as students are tasked with solving a practical problem in the AI in medicine space with little guidance. The Summer AI Bootcamp is geared towards learners of all levels who are interested in learning about the fundamentals of machine learning in healthcare, and will be more lecture- and discussion-focused. 

Can I apply for both the Summer Research Internship and Summer AI Bootcamp?

Yes, you may apply for both. If you apply for the Summer Research Internship, you may indicate at the end of the application that you would like to also be considered for the Summer AI Bootcamp, with no an additional application required. Students who apply to the AI Bootcamp this way will be considered equivalent to those who applied to just the Summer AI Bootcamp. If you are only applying for the Summer AI Bootcamp, the Summer AI Bootcamp application is required. 

Are the AP courses listed in the application required for this internship? What if I am enrolled in the course but haven't taken the course/exam yet? Do you accept IB courses?

The AP courses listed in the application are not required for the internship. If you have plans to complete the course/exam or have taken/plans to take a related non-AP course (through IB, community college programs, etc.), there is a section of the application titled "Other Academic Experiences" where you may indicate this.

What can interns expect in terms of continuous engagement with Stanford researchers and faculty after the internship program concludes (for ex. publishing research findings in academic journals, poster presentations, etc.)?

We cannot guarantee continuous engagement after the internship at this time. The internship project is small in scale and would likely not be sufficient to constitute a publication.

Will participating in the internship guarantee a Letter of Recommendation for my college applications?

Letters of Recommendation for college applications/future programs from Stanford AIMI Faculty/Staff are not guaranteed, and may depend on a variety of factors such as intern participation, performance, engagement, and quality of work. Participating in the Summer Research Internship will not guarantee admission into a Stanford undergraduate program. 

Are AIMI Summer Programs credit-bearing?

Participation in AIMI Summer Programs is not credit-bearing, meaning that completion of either programs will not directly contribute towards fulfilling academic requirements or earning course credits toward graduation. Instead, it serves as an enrichment opportunity aimed at fostering additional skills and experiences outside the traditional academic curriculum.

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2023 Ph.D. Research Summer Intern

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About Google

Google is an American multinational technology company that focuses on search engine technology, online advertising, cloud computing, computer software, quantum computing, e-commerce, artificial intelligence, and consumer electronics. It is considered one of the Big Five American information technology companies, alongside Amazon, Apple, Meta, and Microsoft. Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, research teams have the opportunity to impact technology used by billions of people every day.

Join Google for a full-time, 12 to 14 weeks paid internship that offers personal and professional development, an executive speaker series, community-building, and the opportunity to perform the following roles:

• Work closely with Engineers to discover, invent, and build at the largest scale, from creating experiments and prototyping implementations to designing architectures.
• Work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and more.
• Develop and execute a research agenda.
• Create and support a productive and innovative team, including working with peers, managers, and teams.

Training, Development & Rotations 

80% of Google’s tracked learnings happen through their employee-to-employee (Googler-to-Googler) network, where over 6,000 employees across the business have become volunteer teachers. They share their knowledge and skills in workshops, one-to-one sessions, job aids, and beyond. Google encourages passionate teachers who are experts in that content to deliver training to its employees. Not only does this engage people, but it also cuts the costs associated with training and ensures the budget is only used for specialized training programs or sessions and niche content that’s needed. Google is very transparent about its learning and development strategy. That means you can learn from the best in the business and it also made your job a little easier.

Salary & Benefits

Google strives to provide Googlers and their loved ones with a world-class benefits experience focused on supporting their physical, financial, and emotional well-being. Benefits are based on data and centered around Googlers and their families. Benefits are thoughtfully designed to enhance your health and well-being, and generous enough to make it easy for you to take good care of yourself now and in the future. Attractive compensation for this role ranges from approximately $47,000 to $128,000.

Career Progression

Google achieved the best year yet for hiring and retaining people from underrepresented communities and developed a wide variety of new methods to better support every Googler’s growth. Google continued to invest responsibly in every market, and support its community partners around the globe. Google also expanded its efforts to foster a sense of belonging for its employees and to grow professionally and personally from joining Google–through classes, 1:1 mentoring, 20% projects, and internal job mobility.

Work Life Balance

Google offers an excellent work environment and culture. The company promotes a culture where employees are encouraged to have a good work-life balance to make sure they’re productive, enjoy their work, and dedicate adequate time to other interests. Google encourages employees to have cordial relationships with each other. Superiors are trained in people-management skills and encouraged to inspire harmony and cooperation in their respective teams. Interpersonal relationships are given utmost importance at Google; this, along with an emphasis on inclusion and diversity, makes it an incredible place to work.

How to Apply

• To start your application, simply click the "APPLY" button on this page.
• Submit your updated CV or resume along with your current unofficial or official transcript in English.
• The process can take 8 to 10 weeks from the time that an application is screened.
• Once shortlisted, you will be involved in either a phone or virtual interview by a Google recruiter.
• Followed by an offer and negotiation, if the candidate is successful. 

The following sources were used in researching this page:

• glassdoor.com/google - salaries
• gethownow.com/google - training & development
• interviewkickstart.com - work life balance
• careers.google.com

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The opportunity is available to applicants in any of the following categories.

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Philosophy + CS undergraduate Max Fan awarded National Science Foundation Graduate Research Fellowship

Max Fan, a junior Philosophy + CS major, has recently been awarded a National Science Foundation Graduate Research Fellowship   which will provide three years of financial support for his graduate studies. Fan will graduate this May and begin his PhD at Cornell University in the fall.  

While at the University of Illinois, and during a summer internship at NASA in 2023, Fan proposed and developed a new temporal logic semantics, a topic he first encountered in a class taught by philosophy professor Kohei Kishida.  

Temporal logic is a system of rules for representing and reasoning about propositions that change over time. In computer science, and at NASA, it’s used to specify when safety conditions should be triggered and to determine when a system is behaving nominally.  

“They don’t like bugs, and they don’t like things going wrong,” Fan said. “And so, the idea is you have all these requirements for how your rocket or how your satellite ought to behave. So, if your satellite does this, it should then do this, and these logics have a temporal nature.”  

For example, a temporal property might say “after the parachute deploys then the machine should decelerate.” Once the temporal property is specified, it is important to monitor the system to verify if it is behaving as expected. When a property is violated, the error should be handled as quickly as possible. 

Fan soon recognized that the standard temporal logic semantics that most people in computer science work with were not sufficient for NASA’s purposes. His coursework in philosophy helped him realize he could develop his own semantics that better captured the problem he was trying to solve.  

“My philosophical training allowed me to think outside the box and develop a different way that didn’t rely on the standard approaches,” he said. “I think there’s a reason why no one else thought of this before because people generally take the standard temporal logic semantics and do other things with it. But they don’t think about changing the actual ground rules.” 

He proposed a non-standard temporal logic semantics that will work better to solve NASA’s and other computer science problems. He has a paper in progress that he is hoping to submit to a conference soon.  

Fan also regularly seeks out perspectives on logic from researchers working in fields outside his major. He organizes a weekly lunch for those working on logic in computer science that also attracts professors and students in philosophy, electrical and computer engineering, and math. 

“The idea is that people who are interested in logic or logic adjacent come and talk about research and what people are working on,” he said. “It’s quite nice to see everyone and to hear about a different perspective. The math department has a certain kind of flavor of the research, which is a little different than the philosophy department, which is different than the flavor in the CS department.” 

Fan’s research interests include the intersection of computer science and philosophy, epistemology, and logic and truth, which is why he decided to major in philosophy + CS . In addition to professor Kishida, he also cites philosophy professor Jonathan Livengood, and computer science professor Talia Ringer as mentors during his time at the university.  

The NSF fellowship is not the first accolade he has received for his work. In his sophomore year, he received a Barry M. Goldwater scholarship for his potential to contribute to the advancement of research in the natural sciences, mathematics, or engineering. A fellow philosophy junior, Sylvia E, was also recently honored with a Goldwater Scholarship.   

His favorite courses have been the graduate seminars he has participated in, including the philosophy of logic graduate seminar, which he took twice, and the conceptual engineering seminar taught by philosophy professor Kevin Scharp. 

“I think all the courses [in philosophy] are actually very well taught. Like some departments are hit and miss. But every course here has been a hit. …The quality of instruction is quite high,” he said.