[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: Wednesday, December 26, 2012 11:52 AM
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!

Interns will collaborate with one or more researchers and will have access
to
world-class product groups and design teams. We explore opportunities for
technology transfer and regularly publish in leading journals and
conferences.
Last year, our interns published over 40 papers in total including 11 at
SIGGRAPH, 8 at CVPR, and 6 at UIST. 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 www.adobe.com/technology): 

Cambridge
* Connelly Barnes: graphics, photography, video 
* Sylvain Paris: graphics, vision, photography, video
  
Seattle
* Aseem Agarwala: data-driven design, graphics, vision, photography, video 
* Sunghyun Cho: vision, graphics, photography, video 
* Dan Goldman: graphics, vision, human-computer interaction 
* Jovan Popović: graphics, games, simulation, control, and optimization 
* Eli Shechtman: vision, graphics, machine learning, video 
* Jue Wang: graphics, vision, photography, video 
* Holger Winnemoeller: graphics, rendering, human-computer interaction  

San Francisco
* Joel Brandt: HCI, software development tools, crowdsourcing 
* Mira Dontcheva: HCI, graphics, visualization 
* Aaron Hertzmann: graphics, vision, machine learning 
* Matthew Hoffman: machine learning, audio 
* Wilmot Li: graphics, visualization, human-computer interaction 
* Gautham Mysore: audio, machine learning, signal processing 
* David Salesin: graphics, photography, HCI, rendering, color 

San Jose
* Paul Asente: vector graphics, illustration stylization, and stereo 3D
authoring 
* Jon Brandt: visual search, recognition, machine learning, computer vision
* Trung Bui: machine learning, markov decision modeling, artificial
intelligence 
* Nathan Carr: geometry processing, rendering, high performance computing
* Walter Chang: content understanding, semantic analysis, and data analytics

* Scott Cohen: segmentation, matting, stereo, restoration
* Jim Donahue: distributed computing, cloud computing, databases, content
management
* Emre Demiralp: multimodal content analytics, sentiment analysis,
predicting user behavior
* Ayman Farahat: econometric modeling, information retrieval and machine
learning 
* Sunil Hadap: structured light, photometric stereo, material and depth
acquisition
* Daichi Ito: artistic procedural modeling, designing tools for artists 
* Hailin Jin:  structure from motion, optical flow, image-based modeling 
* Byungmoon Kim: rendering, simulation,  high performance computing
* Eunyee Koh: user segmentation, predictive analytics, personalization, HCI 
* Zhe Lin: restoration, visual search, recognition 
* Radomir Mech: interactive procedural modeling, casual modeling, 3D
printing 
* Gavin Miller: procedural modeling, rendering, simulation, light-field
imaging 
* Brian Price: segmentation, matting, stereo 
* Stephen Schiller: image processing, computational geometry
* Bongwon Suh: human-computer interaction, social analytics, predictive
analytics
* Kalyan Sunkavalli: image relighting, image and video analysis and editing
* Vishy Swaminathan: video delivery systems, rights management, network
transports
* Georgios Theocharous: reinforcement learning, machine learning,
information retrieval 
* Gregg Wilensky: image correction, matting, creative effects 
* Jianchao Yang: recognition, sparse coding, machine learning, computer
vision

To apply, please send an email to atlctl at adobe.com with your CV, a list of
your research interests, and any specific researchers you would like to work
with. Also, don't hesitate to email specific researchers directly.
Internships 
will be granted on a rolling basis, so apply as soon as possible.