Many interesting problems today involve working with large, relational
data sets. AT&T Labs (formerly part of Bell Labs) is part of one of the
world's largest network companies. We deal with real problems on the
cutting edge of IP, wireless, television, web services and content
distribution, and network security. Computer graphics and sophisticated
algorithms are keys to breakthrough in exploring and understanding the
large, complex information sets that support these services.
We seek strong candidates to work with us. A Ph.D. in Computer
Science or closely related field, or equivalent demonstrated
research capability is required. Relevant technical areas include
visualization, applied algorithms, network analysis, computational
geometry and data mining, especially methods to combine human
interaction with machine learning. We are also involved in research
on integrating 3D graphics and high performance computing with video
content, both online and stored. Good software skills, from
prototyping to full scale systems expertise, are generally expected.
Please apply at
www.research.att.com/careers.
AT&T and its subsidiaries are committed to equal employment opportunity. AT&T Companies are Equal Opportunity Employers. All qualified candidates will receive full and fair consideration for employment. All applicants and employees are protected from unlawful discrimination and harassment on the basis of race, color, religion, national origin, sex, age, sexual orientation, gender, gender identity, marital status, citizenship status, veteran status , disability or any other category protected by applicable law. You should notify the EEOC, the FCC or other appropriate agency if you believe you have been discriminated against.
The Information Visualization Research department contributes
practical techniques for visually exploring and understanding
large, complex data sets.
We are particulaly interested in problems that are technically difficult
due to scale, dimensionality, or complexity of geometric representation.
We place a priority on implementing our work in software components.
Beyond this, we are also experimenting with applications and interfaces for
wall-sized digital displays, which are increasingly important for
collaboration and communication using visualization. We also recently
started a new minilab for work in the integration of 3D graphics with
realtime video, especially in multiple viewpoint camera setups.
Some current projects
include
a method for measuring and visualizing
proximity in online social networks;
a data analysis method that
won
the Netflix Competition progress prize;
collaboration on a scalable focus+context approach to displaying and exploring
large sets of time series (LiveRAC);
scalable methods for drawing and browsing networks with hundreds
of thousands of elements;
geometric layout of
rectilinear contact graphs;
and work with
hierarchical network maps.
Information Visualization is part of the
Information and Software Systems Research Lab (ISSRL)
in Florham Park, one of 3 main labs in AT&T Labs Research (having a total of around 250
researchers). ISSRL, in partnership with the Internet
and Network Systems Research Lab supports the InfoLab project,
a multi-disciplinary collaboration to develop new ways of turning massive
data sets into useful information, supporting effective
technical and business decision-making. Infolab
researchers are computer scientists, software
and database specialists, statisticians and domain experts.
Our culture emphasizes research
excellence, practical impact, self-motivation
in defining research projects and setting goals,
and opportunities for close collaboration with
experts in related fields of computer science
and mathematics. The lab strives for a balance
between science and applications. Software
skills are highly respected.
Beyond the professional environment itself,
one of the main attractions in working here is access to some
of the world's largest networks and services (through AT&T
and its partners) as a source of experimental data and research testbed.
The ISSRL is home to many experts in areas of
computer science, including several
ACM,
IEEE and
AT&T
Fellows.
A sample of local research areas and experts includes:
Statistics Research: Rick Becker,
Bob Bell,
Parni Dasu,
Debby Swayne,
Chris Volinsky,
Simon Urbanek,
Allan Wilks,
Mike Wish
Internet and Information Security Research:
Nick Duffield,
Bala Krishnamurthy,
Carsten Lund,
Walter Willinger,
Jennifer Yates
Algorithms and Optimization Research:
David Applegate,
Adam Buchsbaum,
David Johnson,
Mauricio Resende,
Neil Sloane
Database Research:
Graham Cormode,
Rick Greer,
Marios Hadjieleftheriou,
Ted Johnson,
Flip Korn,
Divesh Srivastava
Software Research:
Mary Fernandez,
Kathleen Fisher,
Bjarne Stroustrup,
Elaine Weyuker,
Pamela Zave
Systems Research:
Robin Chen
Glenn Fowler,
Andrew Hume,
Dave Korn,
Rick Schlichting,
Phong Vo
