[4eyes] Fwd: [Graphites] Adobe Research: Call for Interns

[Chris Sweeney]

---------- Forwarded message ---------
From: David Salesin <salesin at adobe.com>
Date: Fri, Dec 2, 2016, 6:33 AM
Subject: [Graphites] Adobe Research: Call for Interns
To: David Salesin <salesin at adobe.com>


Adobe Research is offering research and engineering internships this
spring, summer, and fall in Cambridge MA, Seattle, San Francisco, and San
Jose. We are looking for PhD students who are excited about pushing the
state of the art in audio, graphics, vision, human-computer interaction,
machine learning, visualization, analytics, optimization, and more -- in
ways that could be of interest to Adobe as well as to the research
community at large. We have just started recruiting, and we would love to
hear from you!

You will directly collaborate with one or more researchers or engineers,
with access to world-class product groups and design teams. We regularly
publish in leading journals and conferences, explore opportunities to
invent new products, and create amazing features for our established
creative tools -- allowing you to see your work in the hands of millions.
We are especially interested in fostering ongoing collaborations and are
open to projects that last beyond the internship and become part of your
PhD thesis. We compensate interns well, and strive to create an environment
that is both productive and fun.

Our Cambridge lab is located in Kendall Square, neighboring the MIT campus
and steps away from the Red Line "T" with easy access to Boston. The
Seattle lab is located in the hip Fremont area, directly on the water (you
can kayak to work!) and connected by a bike path to UW. The San Francisco
lab is located in the trendy SOMA area, near the ballpark and a short walk
from the Caltrain station. The San Jose labs are in the heart of Silicon
Valley, with a diverse array of culture and a short walk from the Caltrain
station.

Our team currently includes the following researchers and engineers (for
more information, visit our web pages at research.adobe.com):

Cambridge
* Shoaib Kamil <kamil>: programming languages, compilers, program
synthesis, parallel computing
* Sylvain Paris <sparis>: graphics, vision, photography, video
* Masha Shugrina <shugrina>: engineering: creative tools, animation,
graphics, NLP

Seattle
* Xue Bai <xubai>: engineering: image and video processing, computer vision
* Mira Dontcheva <mirad>: HCI, graphics, visualization
* Morgan Dixon <mdixon>: HCI, software development tools, creativity tools
* Danny Kaufman <kaufman>: graphics, simulation, computational design and
fabrication, numerical optimization
* Vladimir Kim <vokim>: graphics, vision, geometry processing
* Tim Langlois <tlangloi>: audio, simulation, graphics, computational
design and fabrication
* Wilmot Li <wilmotli>: graphics, visualization, HCI
* Jovan Popović <jovan>: graphics, geometry, simulation, learning, control,
optimization
* Eli Shechtman <elishe>: vision, graphics, photography, recognition
* Eric Stollnitz <stollnit>: engineering: graphics, computational
photography, fabrication
* Kevin Wampler <kwampler>: engineering: numerical optimization,
performance, computer animation
* Jue Wang <juewang>: graphics, vision, photography, video
* Oliver Wang <owang>: video, graphics, vision, machine learning,
photography
* Holger Winnemoeller <hwinnemo>: graphics, NPR, digital art tools, HCI

San Francisco
* Joel Brandt <jobrandt>: HCI, visual and interactive design tools
* Stephen DiVerdi <diverdi>: virtual reality, painting, machine learning,
vector graphics, audio
* Matt Fisher <matfishe>: graphics, image/video processing, audio
* Aaron Hertzmann <hertzman>: artistic stylization, graphic design, VR,
computer vision
* Leo Zhicheng Liu <leoli>: information visualization, visual analytics, HCI
* Sebastian Marketsmueller <smarkets>:  realtime rendering, GPU, 3d
modelling
* Gautham Mysore <gmysore>: audio, machine learning, signal processing
* Geoffrey Oxholm <oxholm>: engineering: image and video processing,
computer vision, machine learning
* Bryan Russell <brussell>: vision, recognition, machine learning
* Ian Sachs <sachs>: engineering: mobile, image processing, computer vision
* David Salesin <salesin>: graphics, photography, HCI, rendering, color
* Ian Wehrman <wehrman>: engineering: web
* Qingnan Zhou <qzhou>: engineering: graphics, geometry processing,
computational fabrication

San Jose
* Paul Asente <asente>: vector graphics, design, stylization, documents, HCI
* Jon Brandt <jbrandt>: visual search, recognition, machine learning,
computer vision
* Hung H. Bui <hubui>: probabilistic inference, machine learning, deep
learning, activity recognition
* Trung Bui <bui>: natural language processing, dialog systems, machine
learning, deep reinforcement learning
* Nathan Carr <ncarr>: geometry processing, rendering, high performance
computing
* Duygu Ceylan <ceylan>: 3D shape acquisition & analysis, machine learning
* Walter Chang <wachang>: NLP, document & knowledge engineering, dialog
systems, machine learning
* Zhili Chen <zlchen>: real-time graphics, simulation, virtual reality, 3D
printing
* Scott Cohen <scohen>: computer vision, image segmentation, vision &
language
* Zhihong Ding <zhding>: engineering: mobile, web service, computer vision,
machine learning
* Chen Fang <cfang>: recognition, recommendation, deep learning, computer
vision, machine learning
* Sunil Hadap <hadap>: multi-view stereo, shape from shading, material
estimation, 3D face estimation, body pose estimation, relighting,
image-based modeling
* Mohammad Ghavamzadeh <ghavamza>: machine learning, reinforcement
learning, online learning, digital marketing
* Daichi Ito <dito>: artistic procedural modeling, designing tools for
artists
* Tom Jacobs <jacobs>: Internet of Things, data science as a service,
security, fraud detection
* Hailin Jin <hljin>: deep learning, computer vision, natural language,
reinforcement learning, machine learning
* Byungmoon Kim <bmkim>: rendering, simulation,  high performance
computing, geometry
* Sungchul Kim <sukim>: data mining, predictive analytics, online
advertising/marketing
* Eunyee Koh <eunyee>: user segmentation, predictive analytics,
personalization, HCI, data mining
* Branislav Kveton <kveton>: online Learning, machine learning, Artificial
Intelligence
* Joon-Young Lee <jolee>: computer vision, image/video processing,
computational photography
* Haoxiang Li (haoxli): detection, recognition, face analysis, deep
learning, robotics
* Zhe Lin <zlin>: computer vision, image processing, deep learning, machine
learning
* Nedim Lipka <lipka>: machine learning, data mining, information
retrieval, big data analytics, visualization
* Jingwan Lu <jlu>: graphics, designing tools for artists, data-driven
design, image stylization, HCI
* Xin Lu <xinl>: deep learning, vision, conditional image generation, image
editing.
* Mike Lukac <lukac>: texture synthesis, patch search, garment fabrication,
photo collection management
* Radomir Mech <rmech>: interactive procedural modeling, casual modeling,
3D printing
* Sana Malik <sanmalik>: information visualization, visual analytics, event
sequence analytics, HCI
* Gavin Miller <gmiller>: procedural modeling, rendering, simulation,
light-field imaging
* Saayan Mitra <smitra>: video delivery and monetization, recommendation,
machine learning
* Brian Price <bprice>: semantic segmentation, interactive object
selection, matting
* Stephen Schiller <schiller>: image vectorization, texture in images,
vector graphics (curvature-controlled primitives, shape packing, etc)
* Xiaohui Shen <xshen>: depth estimation, recognition, visual search, scene
understanding
* Xin Sun <xinsun>:  3D photorealistic rendering
* Kalyan Sunkavalli <sunkaval>: image and video processing, computational
photography, geometry and material capture
* Vishy Swaminathan <vishy>: video delivery systems, rights management,
network transports
* Georgios Theocharous <theochar>: reinforcement learning, machine
learning, information retrieval
* David Tompkins <tompkins>: cloud computing, distributed systems, data
science as a service
* Nikos Vlassis <vlassis>: machine learning and optimization
* Zhaowen Wang <zhawang>: image recognition, image restoration, deep
learning
* Zheng Wen <zwen>: online learning, machine learning, Artificial
Intelligence
* Jimei Yang <jimyang>: object segmentation, image synthesis, generative
models and deep learning
* Ersin Yumer <yumer>: machine learning, 3D computer vision, graphics
* Jianming Zhang <jianmzha>: image processing, computer vision, deep
learning

To apply, please send an email to research-internships at adobe.com with your
CV, a list of your research interests, and names of specific researchers or
engineers you would like to work with. Also feel free to reach out to
specific members (email within brackets) at their adobe.com account.
Internships will be granted on a rolling basis, so apply as soon as
possible.

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