Summer Internships at LucidWorks in search and machine learning

DESCRIPTION
LucidWorks, the leading commercial company for Apache Lucene and Solr, is looking for interns to work on building next generation search, analytics and machine learning technologies based on Apache Solr, Mahout, Hadoop and other cutting edge capabilities.    This paid internship will be practically focused on working on real problems in search and machine learning as they relate to Lucid products and technologies as well as open source.

Interested students (see eligibility below) should send their resume/profile, course work and evidence of open source activity (github account, ASF patches or other, etc.) tocareers@lucidworks.com.

REQUIREMENTS

• Interest in working on high performance and large scale problems involving structured and unstructured content.

• Relevant coursework in search and/or machine learning.  Coursework in linear algebra and statistics is a bonus

• Experience with Lucene, Solr, Hadoop and Mahout (or other machine learning libraries) is a plus

• Core Java knowledge

• Eagerness to learn and to apply knowledge to real problems

• Working on a Computer Science degree (or related field or have demonstrable programming skills).  Position is open to both graduate and undergraduate students

ELIGIBILITY
In order to participate in the program, you must be a student. Lucid defines a student as an individual enrolled in or accepted into an accredited institution including colleges, universities, masters programs, PhD programs and undergraduate programs. You should be prepared, upon request, to provide Lucid with transcripts or other documentation from your accredited institution as proof of enrollment or admission status.

You may be enrolled as a full-time or part-time student. You must also be eligible to work in the United States and able to work from our headquarters in Redwood City, CA.  You may not participate if prohibited by law.

LOCATION
Redwood City, California  (San Francisco)

2 Postdocs for 3 years in video search: recognition and explanation

*2 POSTDOCS FOR 3 YEARS IN VIDEO SEARCH*
Faculty of Science - Informatics Institute

The Informatics Institute at the University of Amsterdam invites applications for 2 Postdocs in Video Search starting Spring 2013.



*/Project Description/*
The positions are part of a 5-year Personal VIDI Grant funded by the Dutch Organization for Scientific Research and headed by Dr. Cees Snoek. The successful candidates will participate in a frontier research project on video recognition and explanation, and will work in a stimulating environment of a leading and highly active research team including one faculty member and six PhD students. The team has repeatedly won the major visual search competitions, including NIST TRECVID, PASCAL Visual Object Challenge, ImageCLEF, and the ImageNet Large Scale Visual Recognition Challenge.

*/Requirements/*
o PhD in Computer Science, emphasizing computer vision, and/or machine learning.
o Strong publication record in top-tier international conferences and journals.
o Solid knowledge of programming in C/C++ for large-scale processing.
o Motivated and capable to coordinate and supervise PhD research and teaching.

*/Specific to Position nr. 1 (Video recognition)/*
o Research record in spatiotemporal descriptors, object localization, action recognition and/or data-intensive machine learning.

*/Specific to Position nr. 2 (Video explanation)/*
o Research record in attribute categorization, event recognition, natural language processing, and/or data-intensive machine learning.

Conditions of employment, things we have to offer and application procedure, see: http://bit.ly/11xNutU

Summer Intern/Information Extraction and Integration

inome is gathering the world’s information and making it people centric. The inome graph connects billions of entities (people,organizations and addresses) to encode the information-genome of each  individual. inome Research is looking for graduate interns to work on developing its next generation of Information Extraction and Information Integration technologies. The interns for summer 2013 will  explore developing novel strategies for extracting intelligence from both unstructured text and semi-structured text and integrating the
intelligence with the inome graph. Sample projects include extracting  events, trends, users' interests from unstructured text; extracting attributes of people from publicly available sources; linking  extracted entities to the entity nodes in the inome graph. This is likely to be innovative work and we expect the summer internship to lead to both product impact and a research paper in a top conference.  The internship will be at our headquarters in Bellevue, WA, and offer a competitive compensation.

inome Research develops cutting-edge systems to standardize, create,
and link intelligence to power inome's industry-leading people
information-genome platform. Team members have published papers in top
research conferences such as NIPS, ACL, VLDB, CIKM, and SIGIR, given
invited talks, organized workshops, and turned algorithms into
deployed systems.

Responsibilities:

    Build and/or extend systems to do high-precision IE from
structured, semi-structured, and unstructured information sources
    Build and/or extend systems to do high-precision linkage from a
variety of information sources
    Design and implement algorithms for evaluating the performance of
IE and linkage

Required Skills:

    Graduate student working on a Ph.D. in Natural Language
Processing, Data Mining, Computational Social Science or related field
    Experience in one or more of the following areas: named entity
extraction, relation extraction, within document and cross-document
coreference, graph-based information extraction and information
fusion/integration
    Self-motivated, creative, and independent researching skills

Desired Skills:

    Strong hands-on skills in Java
    Experience with large-scale machine learning
    Experience with Hadoop
    Familiarity with graph based machine learning toolkits such as GraphLab
    Experience with crowdsourcing/Mechanical Turk
    Experience with NLP toolkits
    Experience with supervised/semi-supervised/

unsupervised
information extraction
    Experience with graph-based NLP

Contact:
Please apply online. For faster considerations, please send your CV to
Ang Sun, asun@inome.com

Research Associate Position at University of Waterloo

Applications are invited for a research associate position in the David
R. Cheriton School of Computer Science, University of Waterloo. The
successful applicant will have at least a Master’s degree in computer
science, a moderate research record publishing in top journals (such as
CACM) and conferences (such as ACL, SIGIR) in computer science, and
expertise in all of the following areas: (a) Natural language
processing, (b) Algorithms and Information Distance, (c) Cluster
computing and experience in building large software systems, (d)
Question Answer system, (e) Dialogue system, and (f) Translation.
Preference will be given to applicants who have extensive practical
experiences in implemented real life systems in the above areas.

The successful candidate will conduct research on question answering
system and collaborate with students in the department. The research
associate is expected to contribute in research and service to the
University of Waterloo within the hosting department. The emphasis of
the work is on conducting research and implementing a practical question
answering system.

With over 70 faculty members, the University of Waterloo’s David R.
Cheriton School of Computer Science is the largest in Canada. It enjoys
an excellent reputation in pure and applied research and houses a
diverse research program of international stature. Because of its
recognized capabilities, the School attracts exceptionally
well-qualified students at both undergraduate and graduate levels. In
addition, the University has an enlightened intellectual property policy
which vests rights in the inventor: this policy has encouraged the
creation of many spin-off companies. Please see our web site for more
information: http://www.cs.uwaterloo.ca.

Applications and reference letters should be emailed to Professor Ming
Li (mli@uwaterloo.ca mli@uwaterloo.ca
>). Applications will be
considered as soon as they are complete and as long as the position is
available. Appointment can commence immediately.

The University of Waterloo encourages applications from all qualified
individuals, including women, members of visible minorities, native
peoples, and persons with disabilities. All qualified candidates are
encouraged to apply; however, Canadian citizens and permanent residents
will be given priority.

Doctoral scholarships in knowledge discovery / machine learning

In close co-operation with the German Institute for International

Educational Research and Educational Information (DIPF) in Frankfurt

am Main, a member of the Leibniz Association, the Technical University

of Darmstadt is offering Doctoral Scholarships in knowledge discovery/

machine learning within the newly established PhD program "Knowledge

Discovery in Scientific Publications" [1]. The regular maximum

duration of funding is 36 months.

Scholarships are granted for completing a doctoral thesis in computer
science with a strong focus on machine learning. The research is
applied to the domain of educational research literature. To this end,
DIPF offers excellent opportunities for a close co-operation with
subsequent users. Successful candidates will be granted 1,400 Euros
per month. The program will be located at DIPF in Frankfurt (Main).

The successful candidates are expected to work on the projects
"Personalized Content Acquisition from Heterogeneous Sources"
(Prof. Brefeld), or "Preference-Based Profiling of Scientific
Publications" (Prof. Fürnkranz).

The PhD program brings together the disciplines of "Knowledge
Engineering", "Algorithmics", "Language Technology", "Ubiquitous
Knowledge Processing", "Knowledge Mining and Assessment", and
"Information Management". The concept for supervision strongly relies
on close contacts between postgraduate students and their supervisors,
regular joint meetings, co-supervision by professors and senior
researchers from the above disciplines and a lively exchange in the
research and qualification program. Furthermore, the program strives
to publish research findings at leading scientific conferences and
provide its software freely accessible as open source product.

Excellently qualified graduates from computer science are invited to
apply. Successful candidates are expected to possess very good
programming skills in Java, to work independently, demonstrate their
personal commitment, team and communication skills as well as a
readiness to cooperate with others. Research experience, in particular
in machine learning, is a plus.

Women are expressly invited to submit their application. According to
the pursuant legal requirements, applicants with disabilities will be
preferably treated in the appointment procedure. Candidates from
abroad are encouraged to apply.  The Department of Computer Science at
TU Darmstadt regularly ranks among the top in Germany. Among its
distinguishing features are its research initiative "Knowledge
Discovery on the Web" focusing on powerful language technology
procedures, text mining, machine learning and scalable infrastructures
for assessing and aggregating knowledge. As a scientific institute
belonging to the Leibniz Association, the DIPF targets top-class basic
research as well as innovative scientific services. Education is
addressed as an area with high visibility and significance. The DIPF
is currently establishing a research priority domain for educational
information science, by joining competencies with computer scientists
at TU Darmstadt. In this context, the doctoral program will constitute
a central element.  Please submit your application by February 28,
2013. Applications should include a letter of motivation related to
the research program [1] and its corresponding projects [2] and [3],
CV and details regarding previous scientific work, certifications of
studies and work, including the graduate thesis and possibly
electronic publications.

Applications should be sent to Prof. Dr. Iryna Gurevych and
Prof. Dr. Marc Rittberger, e-mail:
phd-application@ukp.informatik.tu-darmstadt.de.

Accenture Openings

Here are some openings information 

Accenture openings 

Senior Member Technical Staff - Cloud Infrastructure and Services

Senior Member Technical Staff - Cloud Infrastructure and Services  

Requirements:
-Bachelor's degree in Computer Science or equivalent. MSCS desirable
-7+ years of experience developing enterprise class software with strong focus on performance, availability and scalability
-In-depth experience with Java/Spring, XML, Hibernate, JPA and REST Web services
-Experience dealing with scalability, availability and multi-tenancy requirements in SAAS environment, preferred
-Experience delivering solutions, as web applications and services using Java Script/HTML/Flex and Java/Spring is a must. Exposure to Scala based development is a plus
-Experience with AGILE and/or SCRUM method of project development
-In-depth experience with object oriented programming in a multi-threaded environment and with loosely coupled distributed systems highly desired
-Understanding of vSphere/vCloud Director APIs a big plus
-Strong leadership, people management and communication skills and well versed in managing conflicts and bringing technical resolution to open issues
-Strong analytical, software design and problem solving skills, attention to detail
-Proven track record recruiting and retaining top engineering talent

For more details and applying for the same visit company web site here

Manager, Cloud Infrastructure and Services @ VMware

Job Description
The cloud infrastructure and services group has needs for a senior engineering manager to manage Hybrid Cloud and Service Provider Engineering groups focusing on building world class platform and solutions to facilitate adoption of private and public cloud computing. We are growing our team in India and are looking for a strong leader to head the team. Apart from team management, of development and QA organizations, this person will also own Hybrid cloud and Service provider product deliverables to be driven out of the India center.

For more information and application visit company web site here