[4eyes] FW: Adobe Research internships available: please pass on to your students

[Matthew Turk]

-----Original Message-----
From: David Salesin [mailto:salesin at adobe.com] 
Sent: Monday, November 25, 2013 2:36 PM
To: David Salesin
Subject: Adobe Research internships available: please pass on to your
students

Adobe Research is offering 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 collaborate with one or more researchers, with access to
world-class product groups and design teams. We explore opportunities for
technology transfer and regularly publish in leading journals and
conferences. You would also have an opportunity to partner with our new
Disruptive Innovation Group -- a small team of engineers and entrepreneurs
who develop new products with our research -- making it possible for you to
see your work in consumers' hands.  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 lab is 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 (for more information,
visit our web pages at research.adobe.com): 

Cambridge MA:
* Sylvain Paris <sparis>: graphics, vision, photography, video

Seattle:
* Aseem Agarwala <asagarwa>: data-driven design, graphics, vision,
photography, video
* Dan Goldman <dgoldman>: graphics, vision, human-computer interaction
* Danny Kaufman <kaufman>: graphics, computational design and fabrication,
simulation
* Jovan Popović <jovan>: graphics, games, simulation, control, optimization
* Eli Shechtman <elishe>: vision, photography, recognition, graphics
* Jue Wang <juewang>: graphics, vision, photography, video
* Holger Winnemoeller <hwinnemo>: graphics, rendering, human-computer
interaction  

San Francisco:
* Joel Brandt <jobrandt>: HCI, software development tools, visual and
interactive design tools
* Floraine Berthouzoz <floraine>: graphics, HCI, data-driven design
* Mira Dontcheva <mirad>: HCI, graphics, visualization
* Aaron Hertzmann <hertzman>: graphics, vision, machine learning, design
* Matthew Hoffman <mathoffm>: machine learning, audio
* Vladlen Koltun <vladlen>: graphics, vision, machine learning
* Wilmot Li <wilmotli>: graphics, visualization, HCI
* Leo Zhicheng Liu <leoli>: information visualization, visual analytics, HCI
* Gautham Mysore <gmysore>: audio, machine learning, signal processing
* David Salesin <salesin>: graphics, photography, HCI, rendering, color 

San Jose:
* Paul Asente <asente>: vector graphics, illustration stylization, and
stereo 3D authoring
* Jon Brandt <jbrandt>: visual search, recognition, machine learning,
computer vision
* Trung Bui <bui>: machine learning, markov decision modeling, artificial
intelligence
* Nathan Carr <ncarr>: geometry processing, rendering, high performance
computing
* Walter Chang <wachang>: content understanding, semantic analysis, and data
analytics
* Scott Cohen <scohen>: segmentation, matting, stereo, restoration
* Jim Donahue <jdonahue>: distributed computing, cloud computing, databases
* Emre Demiralp <demiralp>: multimodal content analytics, sentiment analysis
* Sunil Hadap <hadap>: structured light, photometric stereo, material and
depth acquisition
* Mohammad Ghavamzadeh <ghavamza>: machine learning, reinforcement learning
* Daichi Ito <dito>: artistic procedural modeling, designing tools for
artists 	
* Hailin Jin <hljin>: deep learning, convolutional neural networks, vision,
machine learning
* Jaya Kawale <kawale>: machine Learning, data mining, econometrics,
attribution modeling
* Byungmoon Kim <bmkim>: rendering, simulation,  high performance computing
* Eunyee Koh <eunyee>: user segmentation, predictive analytics,
personalization, HCI
* Zhe Lin <zlin>: restoration, visual search, recognition
* Nedim Lipka <lipka>: machine learning, data mining, information retrieval,
big data analytics
* Linjie Luo <lluo>: 3D acquisition, data-driven modeling, 3D printing
* Radomir Mech <rmech>: interactive procedural modeling, casual modeling, 3D
printing
* Gavin Miller <gmiller>: procedural modeling, rendering, simulation,
light-field imaging
* Saayan Mitra <smitra>: video delivery and monetization, media formats and
standards
* Brian Price <bprice>: segmentation, matting, stereo
* Stephen Schiller <schiller>: analysis of texture in images, perceptual
image segmentation
* Kalyan Sunkavalli <sunkaval>: image relighting, image and video analysis
and editing	
* 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
* Gregg Wilensky <wilensky>: image correction, matting, creative effects
* Jianchao Yang <jiayang>: recognition, sparse coding, machine learning,
computer vision

To apply, please send an email to research-internships at adobe.com with your
CV, a list of your research interests, and any specific researchers you
would like to work with. Also feel free to contact researchers directly at
their at their email address: <researcher-name>@adobe.com. Internships will
be granted on a rolling basis, so apply as soon as possible.