Funded PhD positions in the area of Interactive Information Retrieval at Rutgers iSchool

The School of Communication & Information (SC&I) at Rutgers University invites applications from talented and energetic prospective students wanting to help shape the future of research in Information Retrieval, Social Media, and related areas. Rutgers is one of the premier research universities in the US and is located very close to New York City.

Rutgers: http://www.rutgers.edu/
SC&I: http://comminfo.rutgers.edu/

SC&I PhD program: http://comminfo.rutgers.edu/ph-d-program/getting-in-admission-aid.html

iSchool concentration of the PhD program: http://comminfo.rutgers.edu/phd-program/lis-concentration.html

We have multiple openings to fully support PhD students for research focusing on information retrieval/seeking, social media, and their intersection. Specifically, Prof. Nick Belkin and Prof. Chirag Shah are looking for new PhD students to work with them on their newly funded NSF project on "Characterizing and Evaluating Whole Session Interactive Information Retrieval" (http://infoseeking.org/iir/). The funding includes full tuition waiver, competitive stipend, and travel support.

The deadline for application with a consideration for financial assistant is January 15th (apply earlier if possible).

Finally, know that we have a fairly centralized application process, which means we do not get to make any decisions about whether or not to accept a given student -- it is a much more holistic evaluation of each applicant's overall promise done by the graduate school and the PhD faculty at SC&I.

That said, if you are applying with a particular interest in information retrieval/seeking or social media, please 1) mention our names in your statement of interest, and 2) send us a brief email with a link to your CV so we can keep an eye out for your application and put a good word in for you. We receive *many* such emails so unfortunately cannot reply to all, but trust we'll receive it if you send it.

Best,

Nick Belkin

Chirag Shah

Rutgers University

****

Chirag Shah, PhD

Assistant Professor of Information and Computer Science

Rutgers University

4 Huntington St, New Brunswick NJ 08901

p. (848) 932-8807 f. (732) 932-6916

http://comminfo.rutgers.edu/~chirags

Research Associate Position at UCL Web Science Group, London

Applications are invited for a postdoctoral research associate to work with Dr Emine Yilmaz on the project "Adaptive User Modelling for Personalized Experience".

The project concerns the development of new models and algorithms to model scientific content in terms of topics/themes and develop novel user interest models based on user's content engagement activities. The goal is to build adaptive models which incorporate variations in user preferences to deliver personalized experiences in a range of possible practical applications.

The associate will be part of the UCL Web Science group in the Computer Science department based out of the Bloomsbury campus in central London. The Web Science group is affiliated with the MediaFutures/CSML groups at UCL with several close links to relevant industry (Microsoft, Google, BBC, Elsevier) alongside a vibrant academic environment fostering collaboration.

Application Close Date: 4 January 2015

Contact: If you have any queries regarding the vacancy or the application process, please contact Emine Yilmaz (emine.yilmaz@ucl.ac.uk)

Candidate Background:

The ideal candidate will have:

• a PhD (or will shortly be assessed for a PhD) in Computer Science or related areas with a strong background in Machine Learning and/or Information Retrieval
• experience in at least one of probabilistic graphical models, approximate inference, or bayesian nonparametrics is required (as demonstrated by a strong publication record)
• previous experience on personalization techniques and analysing large volumes of data is highly desirable
• experience on topic modelling and query log analysis is a big plus
  Further details & application link can be found here

Tenure Track Assistant Professor in University of California Santa Cruz: Economic and Information Networks

http://apo.ucsc.edu/academic_employment/jobs/JPF00218-15.pdf

UNIVERSITY OF CALIFORNIA, SANTA CRUZ

Baskin school of engineering

DEPARTMENT OF TECHNOLOGY MANAGEMENT

Assistant Professor in Economic and Information Networks

The Baskin School of Engineering (BSoE) at the University of
California, Santa Cruz (UCSC) invites applications for a tenure track
position in the Technology Management Department at the Assistant
Professor level. We seek outstanding candidates who do empirical
and/or analytical fundamental research in information economics,
network science, computational advertising or marketing analytics,
mechanism design, or computational/algorithmic economics. Technology
Management is one of seven departments hosted in the Baskin School of
Engineering and is currently undergoing an exciting growth phase in
our focus areas of Management, Data Science, and the Economics of
Information and/or Technology.

Relevant disciplines for this position include Computer Science,
Economics, Electrical Engineering, Industrial and Systems Engineering,
Operations Research, Management, Statistics (particularly temporal,
streaming, massive data, and causal modeling), Social Sciences (causal
and longitudinal modeling), or other relevant interdisciplinary
programs.

The successful candidate will be expected to maintain an active
research program with evidence of a developed research trajectory,
teach courses that contribute to the Technology Management Department
undergraduate and graduate degree programs, mentor and advise students
at the graduate and undergraduate level individually and in the
classroom, and undertake service obligations for the department and
campus consistent with a ladder-rank faculty member. Applicants are
expected to develop externally funded research programs. The candidate
must be able to work with students, faculty, and staff from a wide
range of social and cultural backgrounds. We are especially interested
in candidates who can contribute to the diversity and excellence of
the academic community.

This position will contribute to UCSC's initiative to expand research
and teaching in the Silicon Valley. The successful candidate will have
a presence on campus (in Santa Cruz) and at the UCSC Silicon Valley
Campus (in Santa Clara). The candidate will be expected to help build
academic programs in Silicon Valley and Santa Cruz.

RANK: Assistant Professor

SALARY: Commensurate with qualifications and experience; academic year
(9-month) basis

BASIC QUALIFICATIONS: Ph.D. or equivalent foreign degree in relevant
field listed above expected to be conferred by June 30, 2015;
Demonstrated record of research and teaching.

PREFERRED QUALIFICATIONS: Strong training in empirical and/or
analytical research methods; research with applications in
computational advertising and marketing analytics, auctions,
crowd-sourcing, gaming, information aggregation, machine learning and
statistics in markets, market interfaces, mechanism design, market
makers, monetization, preference elicitation, scoring rules, or social
media.

POSITION AVAILABLE: July 1, 2015, with academic year beginning September 2015

TO APPLY Applications are accepted via the UCSC Academic Recruit
online system, and must include: 1) letter of application; 2)
curriculum vitae; 3) research statement; 4) teaching statement; 5) 1-3
publications; 6) 3–5 confidential letters of reference*; 7) instructor
teaching evaluations (optional). Applicants are invited to submit a
statement addressing their contributions to diversity through
research, teaching, and/or service. Documents/materials must be
submitted as PDF files.

Apply at https://recruit.ucsc.edu/apply/JPF00218
Refer to Position #JPF00218-15 in all correspondence

*All letters will be treated as confidential per University of
California policy and California state law. For any reference letter
provided via a third party (i.e., dossier service, career center),
direct the author to UCSC's confidentiality statement at
http://apo.ucsc.edu/confstm.htm

CLOSING DATE: Review of applications will begin on January 5, 2015. To
ensure full consideration, applications should be complete and letters
of recommendation received by this date. The position will remain open
until filled, but not later than 6/30/2015.

UC Santa Cruz faculty make significant contributions to the body of
research that has earned the University of California the ranking as
the foremost public higher education institution in the world. In the
process, our faculty demonstrate that cutting-edge research, excellent
teaching and outstanding service are mutually supportive.

The University of California is an Equal Opportunity/Affirmative
Action Employer. All qualified applicants will receive consideration
for employment without regard to race, color, religion, sex, national
origin, disability, age, or protected veteran status. UC Santa Cruz is
committed to excellence through diversity and strives to establish a
climate that welcomes, celebrates, and promotes respect for the
contributions of all students and employees. Inquiries regarding the
University's equal employment opportunity policies may be directed to:
Office for Diversity, Equity, and Inclusion at the University of
California, Santa Cruz, CA 95064; (831) 459-2686.

Under Federal law, the University of California may employ only
individuals who are legally able to work in the United States as
established by providing documents as specified in the Immigration
Reform and Control Act of 1986. Certain UCSC positions funded by
federal contracts or sub-contracts require the selected candidate to
pass an E-Verify check. More information is available here or from the
Academic Personnel Office (APO) at (831) 459-4300.

UCSC is a smoke & tobacco-free campus.

If you need accommodation due to a disability, please contact the
Academic Personnel Office at apo@ucsc.edu (831) 459-4300.

                   VISIT THE APO WEB SITE AT: http://apo.ucsc.edu
--
-----------------------------------
Yi Zhang
Associate Professor
Baskin School of Engineering
SOE 3, University of California, Santa Cruz
1156 High Street
Santa Cruz, CA, USA 95064
Phone: (831) 459-4549
Fax: (831) 459-4829

Room 319, UCSC Silicon Valley Center
2505 Augustine Drive
Santa Clara, CA 95054
Phone: (408) 9198907


.

Faculty Position at Georgetown University Department of Computer Science (1 Assistant Professor and 1 Senior Faculty Position)

Dear Colleagues,

  Thank you for considering or forwarding to any and all who would be of interest!  The Department of Computer Science at Georgetown University is hiring. We are looking for tenure track positions, one at the junior level and another at the senior level. Both positions are for large-scale data analytics:

The Department of Computer Science at Georgetown University invites applications for a tenure-track position in Computer Science at the Assistant Professor level. We are particularly interested in applicants with expertise in large-scale data analytics, which includes web analytics, data science, database, data mining, machine learning, applied algorithms, data and visual analytic systems, or related fields. A successful candidate is one who has demonstrated ability to conduct high-quality research in one or more of the areas of interest and has the potential to excel in teaching at the undergraduate and graduate levels. The proposed start date is August 2015.  
Required Qualifications: Applicants must have a Ph.D. in Computer Science or a closely related field. The degree must be completed before August 2015.
Applications received by January 15, 2015, will receive full consideration for first-round interviews though later applications are welcome.
Georgetown University, which attracts some of the very best students in the country and world, is located in the heart Washington, D.C., a city that provides opportunities to connect with government agencies as well as high-tech industries.

Application site: http://cs.georgetown.edu/assistant-prof-ad-2014

Research Challenge: 2015 ACM India SIGKDD Conference on Data Sciences (IKDD CODS)

Important Dates:

Abstract:                            15th Jan 2015
2-page submission:           15th Feb 2015
Notification of acceptance: 28th Feb 2015
Final presentation:              19th Mar 2015
-----------------------

CODS 2015 Research Challenge

A City Traffic Dashboard based on Social Network Data

About the Challenge:

Imagine Indian Government has made you responsible for leveraging
Internet and Social Media portals for better monitoring and management
of traffic in Indian cities. You know that the popular social network
portals are daily fraught with traffic issues from Indian roads in the
form of text, image and video. Further, city traffic authorities have
started to feed into these portals furnishing them with information
about traffic movement (or the lack of that). However these desperate
pieces of information spanning over timelines of innumerable Indian
commuters have not been harnessed to the effective monitoring and
management of traffic.

You would like to design an application which can give real insights
from the fast flowing streaming data on these platforms - what is
working good and what is not; which areas are facing severe traffic
problems; what are the most pressing traffic related problems citizens
in different cities are complaining about (e.g. wrong_parking,
heavy_vehicles, auto_refusal etc.); how things have changed after
additional traffic management people have been introduced across
cities last month and so on. A city-based as well as a national
interactive dashboard with great visualization would help you to
easily interact with the data. It will enable you to get views at
different levels upto actual text/image/video as well as temporal
analysis of data.

The CODS 2015 Research Challenge is giving you an opportunity to
design and develop innovative software application (or dashboard) for
city traffic management using publicly available social network data.

Technical Task:

Design and develop a software application (or dashboard) for
analysing, monitoring and comparing traffic issues in different Indian
cities based on relevant interactions on Internet based social network
portals. Unlike common data analysis challenges, this is an open ended
and exploratory task.

Data:

Given the exploratory nature of this challenge we are fine with the
participants to decide and use any relevant social network portals as
their data source(s). At the minimum, they need to use the Facebook
pages of Traffic Authorities of following cities - the posts (and
other details) from these pages can be crawled using Facebook Graph
API

o   Bangalore - https://www.facebook.com/BangaloreTrafficPolice

o   Chennai - https://www.facebook.com/chennaitrafficpolice

o   Kolkata - https://www.facebook.com/KolkataTrafficPolice

o   New Delhi -
https://www.facebook.com/pages/Delhi-TrafficPolice/117817371573308

·         Participants are free to include any publicly accessible
information of the following nature.

o   Traffic Authorities Facebook pages of other Indian cities.

o   Information from timeline (newsfeed, profile etc.) of relevant
public or private organizations in any social network portal including
Facebook and Twitter.

o   Relevant posts (messages, photos, videos etc.) by individuals on
any social network portal.

o   Related information such as news articles, weather data,
population data, vehicle data etc.

Rules:

·         Only publicly available data can be used and should be cited
in the submissions. No proprietary data source which does not offer
free access to all can be used.

·         Participants have to develop the software applications
entirely by themselves. They can use open-source software packages
with appropriate citations in their submissions.

·         Each group cannot have more than 4-members who do not
necessarily have to be from the same organization/institution.

Submission and Important Dates:

Interested participants are encouraged to get started immediately –
following are important dates.

1.     15th January, 2015: Each team has to submit a plain-text
abstract of length less than 500 words describing their application,
features and data sources used. This submission will be used for
reviewer assignment only for the 2-page paper due after one month– no
notification will be sent based on this submission.

2.       15th February, 2015: Each team has to submit a 2-page paper
describing their system and data analysis techniques.

a.       The submission should be formatted in ACM proceedings format,
using one of the templates available at
http://www.acm.org/sigs/pubs/proceed/template.html. Templates are
available in Word and LaTeX (version 2e). For the LaTeX formats, you
may use either the standard style or the SIG-alternate style.

b.      We encourage and will give preference to submissions with
(links to) web-based demonstration, video, screenshots, wireframe
designs, and mock-ups of developed applications.

3.     28th February, 2015: Shortlisted teams will be notified for
participation in CODS Research Challenge session.

4.     19th March, 2015: CODS Research Challenge presentation and
demonstration session followed by announcement of winners.

Evaluation:

The panel is to going to evaluate each submission based on multiple
criteria such as:

·         Insights: Nature of insights obtained based on historical
data - quantity, quality and surprise factor

·         Real-time: Ability to ingest future data in real-time and
update insights and visualization

·         Techniques: Novelty of data processing, mining and learning
techniques used

·         Visualization: Visual appeal and user interaction features
of dashboard

Award:

·         Shortlisted teams based on abstract and paper submission
will be eligible to present and demonstrate their application to CODS
Conference participants.

·         The winner and first two runner ups (chosen by an expert
panel and conference attendees) will get cash award for INR 30,000,
20,000 and 15,000 respectively.

·         The top-3 teams will be invited to write a 4-page paper to
be included in ACM CODS proceedings.

Contact:

·         Shourya Roy shourya.roy@xerox.com

·         Ramasuri Narayanam ramasurn@in.ibm.com

Postdoctoral Research Fellow position in Data Curation at Trinity College Dublin

Hi All,

the Knowledge and Data Engineering Group [1], School of Computer Science and Statistics, Trinity College Dublin is seeking a full-time researcher for the ALIGNED H2020 project [2] in Software and Data Engineering for large scale historical dataset curation.

The role will be part of a self-managing team developing the Dacura data curation platform [3] in conjunction with Humanities and Social Science researchers from The Evolution Institute's Seshat: Global History Databank [4]. Within ALIGNED we will work with other leading European universities and enterprises to develop aligned methods of data and software engineering for web-scale systems.

The ideal candidate will have a PhD and an excellent research track record in a relevant field (semantics, digital humanities, web technologies, statistical NLP, HCI, information retrieval) and strong web programming skills.

This is a 2 year contract position with a salary between €40,003k and €46,255k, depending on skills and experience.

Full details on the post are here: http://kdeg.cs.tcd.ie/aligned-project-post-doctoral-research-fellow

Deadline for applications: 8 Dec 2014

Send a CV and covering letter to: rob.brennan@cs.tcd.ie

best regards

Rob Brennan

Senior Research Fellow & ALIGNED Project Co-ordinator

Knowledge and Data Engineering Group
Trinity College Dublin, Ireland

[1] http://kdeg.cs.tcd.ie/
[2] http://www.aligned-project.eu/
[3] http://dacura.cs.tcd.ie/
[4] http://evolution-institute.org/seshat

Career Opportunities in Network Security

Career Opportunities

We require 5 engineers to get free training on network securrity. the lab is based in bangalore. The course starts on 1st december. After the successfu training jobs are assured wih a high profile MNC. The  skills expected are linux, basic networking and strong english speaking skills. Please contact Manjusha at 9900235976. Please respond as soon as possible. you can also send email at edu@seria.in

Job: Research Associate in UCL Machine Reading Group

Applications are invited for a Postdoctoral Research Associate in Statistical Natural Language Processing and Machine Learning to work with Dr Sebastian Riedel (UCL Computer Science).

The overarching goal of this project is to develop reading and reasoning machines that perform tasks which require a deeper understanding of language, such as question answering, automatic fact checking, and passing multiple-choice science exams. Towards this end we will develop methods that integrate scalable and robust matrix/tensor factorization models [1] (and possibly deeper latent models) with expressive symbolic approaches [2].

The associate will be part of the UCL Machine Reading lab in the Computer Science department, a rapidly-expanding group located in the Bloomsbury campus in central London. The lab is affiliated with the Centre for Computational Statistics and Machine Learning (bringing together CS, the Gatsby unit and Statistics department). Several close links to relevant industry in London exists (BBC, Google, Microsoft, Google Deepmind), as well as to the vibrant academic NLP scene in the South England area.  

The ideal candidate will have:

• a PhD in Computer Science or Statistics with a focus in machine learning and/or natural language processing,
• presented publications at top NLP/ML conferences (e.g., ACL, NAACL, EMNLP, ICML, NIPS),
• experience with matrix and tensor factorization, graphical models and neural networks,

• strong coding skills and
• the ability to work independently and supervise students.

Application Closing Date: 15 Dec 2014

Start Date: January 2015 at the earliest, but there is some flexibility if the perfect candidate needs to start later if necessary.

Duration: the post is funded for 3 years in the first instance.

For more details, and to apply, please follow this link:

https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTQ0NDEyMSZ2dF90ZW1wbGF0ZT05NjUmb3duZXI9NTA0MTE3OCZvd25lcnR5cGU9ZmFpciZicmFuZF9pZD0wJmpvYl9yZWZfY29kZT0xNDQ0MTIxJnBvc3RpbmdfY29kZT0yMjQmcmVxc2lnPTE0MTU4MTI3NjEtMmI1NDlkYzZiZDAxMDlmNDJjZTdiYTMzYTY3ZmQwN2UwMTRkZThlZQ==

[1] http://www.riedelcastro.org/publications/details/riedel13relation.html

[2] http://www.riedelcastro.org/publications/details/rocktaschel14low.html

PhD Fellowships at School of Information Studies, Syracuse University

Syracuse University's School of Information Studies welcomes applicants for our doctoral program. Admitted students are assured of at least four year's funding (including summers) along with tuition and other support.

The interdisciplinary nature of our program is visible through the backgrounds of the 40 students currently pursuing their Ph.D.  Students hail from ten countries and a range of academic backgrounds:  communications and other social sciences, business, computer science, library science, information science, and others.   This makes our doctoral program a welcoming and inclusive place for scholars from under-represented populations, something we see as a defining element of our program.

Doctoral students pursue individualized course plans that are tuned to their particular research interests and needs.  This means advising and, more importantly, close working relationships with faculty members is a cornerstone of the Syracuse University iSchool Ph.D. program. This is why it is both residential and full-time.

We celebrate the success of our recent graduates who are taking up tenure-track positions in premier research institutions and exceptional liberal arts colleges, excelling in academic and policy think tanks, and pursuing entrepreneurial success! Current students are earning awards for their publications and dissertation work, continuing a long tradition of such recognition.

For 2015, we are particularly interested in speaking with applicants and seeing applications from those whose interests align with one or more of the following research areas:
+ Text and data mining, Natural Language Processing and Information Retrieval
+ Data science and data analytics
+ Information policy, Internet governance, and telecommunications policy
+ Information technology policy and globalization
+ Librarianship
+ Mobile computing
+ Usability, accessibility, and universal design
+ Data infrastructure and services in support of research
+ Organizational impacts of ICTs (e.g., Citizen Science, FLOSS, Wikipedia, mobile work, distributed scientific collaboration, health IT)
+ Digitally-enabled research methods (e.g., Trace ethnography, socio-computational approaches)
+ Smart grids/energy informatics and Infrastructure studies
+ Information security and privacy (policies, management, and technologies)
+ Social Computing, social media, social networks, and crowdsourcing

You can learn more about the Syracuse iSchool faculty and interests at http://ischool.syr.edu/future/doctoral/research_areas.aspx.

You can learn more about the doctoral program and application (due 3 January, 2014) at http://ischool.syr.edu/future/doctoral/index.aspx.

Please reach out to the program director, Steve Sawyer, at ssawyer@syr.edu, or our doctoral programs manager, Jennifer Barclay, at jabarcla@syr.edu, with questions!

--
Sent from Gmail Mobile

[JOB] Seeking Two postdoctoral positions at Aix Marseille university in multimodal video recommendation

Dear colleagues

Our team is seeking two postdoctoral positions in multimodal video recommendation.

Two postdoc positions at AMU in multimodal video recommendation

Application deadline: 11/31/2014

Description:

The ADNVIDEO project, funded in the frame work of A*MIDEX (http://amidex.univ-amu.fr/en/home), aims at extending multimodal analysis models. It focuses on jointly processing the audio stream, the speech transcript, the image flow, scenes, the characterization of text overlays and user feedback.

Using as starting point the corpus, annotations and approaches developed during the REPERE challenge (http://defi-repere.fr), this project aims at going beyond indexing on a single modality by incorporating information retrieval methods, not only from broadcast television, but more generally on video documents requiring multimodal scene analysis. The novelty here is to combine and correlate information from different sources to enhance the qualification of content. The application for this project relates to the issue of recommendation applied to videos: given a video, the system finds documents (text, image, and video) related to this video, either on the surface level or the meaning level. In particular, the use case considered may have, in terms of technology transfer, significant economic benefits, regarding automatic ad targeting: automatically find the most relevant advertising with respect to the content of a video.

Objectives:

The candidate will participate in the development of a prototype for videos recommendation, leading to a technology transfer towards business:

·       Extraction of multimodal low-level descriptors. These descriptors correspond to speech, image and sound / music.

·       Extraction of multimodal high-level descriptors. These semantic-oriented descriptors are extracted from low-level descriptors.

·       Aggregation of multimodal descriptors to form the multimodal footprint of the video.

·       Matching videos and promotional material.

·       Validation of the video recommendation prototype.

·       Participation to the scientific life of the lab, including paper publication.

The allocation of tasks can be performed depending on the skills of the candidate.

Skills:

For this project, we are looking for two candidates with a PhD degree in the areas of information retrieval, natural language processing, machine learning or video analysis:

·       Strong programming skills (C++, Java, Python…).

·       Desire to produce functioning end-to-end systems, life-scale live demos

·       Scientific rigor

·       Imagination

·       Top notch publications

·       Excellent communication skills

·       Enjoy teamwork

Candidates must presently work outside of France.

Location:

University of Aix-Marseille, LIF (http://www.lif.univ-mrs.fr) and LSIS laboratories (http://www.lsis.org) and the company Kalyzee (http://www.kalyzee.com/).

Contact: sebastien.fournier@lsis.org

Duration: 23 month

Candidates should email a letter of application, a detailed CV including a complete list of publications, and source code showcasing programming skills.

Postdoctoral Research Position in Recommender Systems TU Delft, Netherlands (10 Nov deadline)

Delft University of Technology (TU Delft) is currently recruiting a post-doctoral researcher for a period of two years, to work within the CrowdRec project (crowdrec.eu), devoted to the development and evaluation of next-generation recommender systems that fuse multiple information sources.

The researcher will work closely with the Multimedia Computing Group team, and will:

- Develop algorithms in the area of recommender systems, including context-aware, socially-informed, and crowd-driven approaches.
- Publish in top venues, e.g., ACM RecSys, ACM Multimedia.
- Contribute to the CrowdRec Reference Framework, which publishes reference implementations of developed algorithms.
- Work together with CrowdRec partners around Europe, including Barcelona, Milan, Budapest, to carry out large-scale testing of recommender algorithms.
- Guide students at all levels (Bachelor, Master, and PhD) who are carrying out work in the area of recommender systems and multimedia.
- Contribute to the innovation of new research challenges and the development/organization of community benchmarks.
- Participate in the reporting and analysis of research results, including project meetings, and roadmapping meetings with the CrowdRec External Advisory Board.
- Develop new research areas and project concepts in collaboration with colleagues working on other projects in the Multimedia Computing Group (e.g., in the areas of music, social networks, quality of multimedia experience).

*Requirements*
The successful candidate will have:
- A PhD in a field related to multimedia and/or recommender systems.
- A proven track record of research leading to publications in top venues.
- A background in machine learning.
- Programming skills necessary to participate in the implementation of reference implementations (Java, C++, C# or Python).
- Experience with the organization of international research events, especially research challenges or benchmarks.
- Interest in working closely with companies to carry out large-scale evaluation of recommender systems.
- Interest in or experience with the application of crowdsourcing or gamification techniques in multimedia.

*Conditions of employment*
TU Delft offers an attractive benefits package, including a flexible work week and the option of assembling a customized compensation and benefits package (the 'IKA'). Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. Contract type: Temporary, 2 years

For more information about this position, please contact Martha Larson, phone: +31 (0)15-2787357, e-mail: m.a.larson@tudelft.nl. To apply, please e-mail a detailed CV, publications list and two references along with a letter of application by 10 November 2014 to Mrs. C.J.C.Kohlmann van Noord, Hr-eemcs@tudelft.nl.
When applying for this position, please refer to vacancy number EWI2014-27.

*Delft University of Technology*
Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognized level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

*Electrical Engineering, Mathematics and Computer Science (EEMCS)*
The Department of Intelligent Systems (INSY) within the EEMCS faculty conducts research on processing and interpretation of data to address the increasing volume and complexity of data and communication in today's world.

The Multimedia Computing Group within the INSY Department develops algorithms for enriching, accessing, and searching large quantities of data. The focus is on developing systems that are oriented to the needs of users, making possible satisfying, personalized interaction with large collections of multimedia data (e.g., images, video, and music shared online) in real-world contexts (e.g., within social networks). The group combines expertise on multimedia information retrieval, recommender systems, multimedia signal processing, social network analysis, and quality of experience.

Additional information
Martha Larson
+31 (0)15-2787357
m.a.larson@tudelft.nl

Earn your PhD in IR at the U. of Texas at Austin

The University of Texas at Austin invites applications from talented and energetic prospective students wanting to help shape the future of research in Information Retrieval (IR). UT Austin is one of the premier research universities in the US and is located in one of the country's sunniest and most vibrant cities in which to live and work, Austin.

    http://ir.ischool.utexas.edu/gradstudy.html

I have openings in my own lab to fully-support new students interested in research at the intersection of IR and human computation / crowdsourcing:

    http://ir.ischool.utexas.edu/

and we have three other faculty also doing great research in IR:

* Jacek Gwizdka: interactive IR, neuro-modeling of relevance -- http://www.ischool.utexas.edu/~jacekg

* Yan Zhang: medical information seeking -- https://www.ischool.utexas.edu/~yanz

* Byron Wallace: automatic IR for biomedical articles -- http://byron.ischool.utexas.edu

PhD Applications for our School of Information (iSchool), ranked 6th nationally, are due November 15th.

    https://www.ischool.utexas.edu/admissions/phd

While we do not guarantee consideration of late applications, the closer to the deadline an application is received, the greater the likelihood that it will be considered.

If you haven't heard of an iSchool before, read more about them:

    http://ischools.org/about/

The UT Austin School of Information is committed to making a difference in the world by designing information management solutions that are accessible, useful, usable, and sustainable. To increase scientific understanding of the role and impact of information in all human endeavors, we study problems and develop solutions for better information design, management, organization, preservation, and retrieval.

Our curriculum allows individual programs of study to be tailored to meet each student's diverse research interests, preparing all students to become high quality, high-impact researchers in their targeted areas of interest.

I came to the UT Austin iSchool with a PhD in Computer Science and have found it to be a great place to research and study IR.  iSchools have plenty of computing research opportunities (and more) to offer!

In comparison to the iSchool, the CS department tends to have even more applicants, so CS admissions tends to be even more competitive. It's okay to apply to both iSchool and CS programs; each has its own separate admissions process, as well as beautiful new facilities in which to work and study.

http://www.cs.utexas.edu/graduate-program/prospective-students

UT Austin uses a centralized application process, which means I do not get to decide whether or not to accept a given applicant. The admissions committee will review all applications and make a holistic evaluation of each applicant's overall potential for excellence in research.

We look forward to receiving your application and hope you will be able to join us at UT Austin next Fall!

--
Matt Lease
Assistant Professor
School of Information and Department of Computer Science
University of Texas at Austin
Voice: (512) 471-9350 · Fax: (512) 471-3971 · Office: UTA 5.442
http://www.ischool.utexas.edu/~ml
--
Matt Lease
Assistant Professor
School of Information
University of Texas at Austin
Voice: (512) 471-9350 · Fax: (512) 471-3971 · Office: UTA 5.442
http://www.ischool.utexas.edu/~ml

Tenure-Track Faculty Position at the University of Michigan School of Information

https://www.si.umich.edu/prospective-faculty/position-call-information-analysis-retrieval

The School of Information at the University of Michigan (UMSI) seeks a tenure-track professor at the assistant professor level in the areas of information analysis, information retrieval, or "big data." While we encourage applications from all areas of information analysis and retrieval, we are particularly interested in candidates with strong interest and expertise in creating novel techniques for mining large-scale text, behaviors, and scientific data and in developing visualizations or other interactive tools for data analysis. Applications of particular interest include, but are not limited to, scientific and health data analysis, text analysis, social media analysis and digital humanities. 

The mission of the School of Information is to create and share knowledge to help people use information -- with technology -- to build a better world. A successful candidate will be committed to, and will directly contribute to our goal of being the best research and teaching institution for the understanding and design of information and its technologies in service of people and society. 

The School is home to vibrant research and teaching programs, with 36 FTE professors, and over 400 students. We offer a Ph.D., a Master of Science in Information, a Master of Health Informatics (joint with the School of Public Health), and a Bachelor of Science in Information. 

Founded in 1817, the University of Michigan has a long and distinguished history as one of the first public universities in the nation. It is one of only two public institutions consistently ranked among the nation's top universities. The University has one of the largest health care complexes in the world and one of the best library systems in the United States. With more than $1 billion in research expenditures annually, the University has the second largest research expenditure among all universities in the nation. The University has an annual general fund budget of more than $1.7 billion and an endowment valued at more than $7.6 billion. 

Qualifications: 

• Ph.D. in an area such as computer science, information science, statistics, informatics, computational linguistics, or related fields concerned with information analysis and retrieval 
• Demonstrated potential and strong commitment to successful teaching at the undergraduate and graduate level 
• Demonstrated potential for high scholarly impact 
• A strong commitment to connecting information, technology, and people that values interdisciplinary research, and cultural diversity 

Review of applications will begin on November 15, 2014 and will continue until the position is filled. For questions about potential fit and your application please contact Dr. Qiaozhu Mei (qmei@umich.edu). 

Application materials required: cover letter, curriculum vitae (CV), research statement, teaching statement, three representative publications, and contact information for three references. For more information or to apply, please visithttp://apply.interfolio.com/27182. 

In addition to this position, the UMSI is also looking for applicants in the area of human-computer interaction, communication and technology, and health informatics.

Tenured/Tenure-Track Faculty Positions in Machine Learning & Big Data/Data Science at NYU Shanghai

New York University, one of the largest and most highly regarded private
universities in the United States, has established itself as a Global Network
University with three degree-granting campuses - New York, Shanghai, and
Abu Dhabi - complemented by 12 additional academic centers across five
continents. NYU has identified Data Science as one target area for growth, and
is planning to add multiple tenured/tenure track faculty members across its
campuses and across several departments.

NYU Shanghai is the first Sino-US higher-education joint venture to grant
a degree that is accredited in the US as well as in China. A research
university with liberal arts and sciences at its core, it resides in one
of the world's great cities, which is also a vibrant intellectual community
(http://shanghai.nyu.edu/). NYU Shanghai will recruit scholars who are
committed to our global vision of transformative teaching and innovative
research. New York University Faculty and students circulate within the
network in pursuit of common research interests and cross-cultural,
interdisciplinary endeavors, both local and global. The terms of employment in
NYU Shanghai are comparable to U.S. institutions. Faculty may also spend time
at NYU New York and other sites of the global network, engaging in both
research and teaching opportunities,  and have opportunities to collaborate
with the many research centers and groups at NYU, including our recently
launched centers for Data Science (CDS) and Urban Science and Progress (CUSP). 

NYU Shanghai invites outstanding applications for two tenure-track or tenured
faculty appointments in Computer Science. Applicants to the first position
should have an active research program in machine learning and be dedicated
to making fundamental technical contributions in this vital area. Applicants
to the second position should have research interests related to big data and
data science as broadly defined, including database systems, data mining,
information retrieval, natural language processing, data visualization, and
applications in areas such as medicine, business, and the natural and social
sciences. Applicants must have demonstrated excellence in both research and
teaching. When discussing their teaching experience and interests, candidates
should identify courses they could teach both within and outside their
specialty. Candidates must have completed a Ph.D. or equivalent by the time
of appointment.

Applicants should submit a curriculum vitae, a statement of research and
teaching interests, electronic copies of up to 5 recent relevant publications,
and the names and addresses of three or more individuals willing to provide
letters of reference, by the application deadline of Jan. 31, 2015. Please
visit our website at http://shanghai.nyu.edu/about/work/faculty-positions for
instructions and other information on how to apply. If you have any questions,
please e-mail shanghai.faculty.recruitment@nyu.edu. NYU-Shanghai is an
Equal Opportunity/Affirmative Action Employer

Faculty Position at UC Berkeley School of Information (Assistant, Associate, or Full Professor)

The UC Berkeley School of Information is seeking a tenured or tenure-track professor with expertise in information organization. 

Candidates should have a demonstrated record of relevant research, with expertise in one or more of the following:

• search and information retrieval
• automated content analysis, including
• applications to normalizing data and creating metadata, and/or applications to analyzing social science text, such as political text, or other information rich text such as biomedical, legal, or marketing text; 
• practical computational approaches for analyzing information in non-textual formats;
• conceptual modeling of information systems;
• computational approaches to cognition;
• semantic representation and annotation;
• vocabulary and metadata design;
• classification and standardization including policy considerations;
• category learning at scale; 
• data wrangling.

A successful candidate will possess appropriate technical expertise and research excellence, and be committed to working on issues related to information and/or information system design and development in a multidisciplinary setting. Relevant professional or industry experience, including hands-on experience with large-scale collections, is also desirable.

Additionally, a successful candidate must be able to teach a course in the design, structure, and use of category systems, data architecture and design for information systems, metadata creation and normalization, and data interchange formats and standards. Additional instructional topics that are desired but not required are database design, natural language processing, and information retrieval and ranking.

Applications are due December 15, 2014.

For more details, see the full job description at: http://www.ischool.berkeley.edu/about/ischooljobs/faculty-info-org

One Post-doc Position in Social/Mobile Computing (Dalian University of Technology, China)

One Post-doc Position in Social/Mobile Computing (Dalian University of Technology, China)

The Mobile and Social Computing Laboratory at Dalian University of Technology (DUT Phone Lab; http://dutphonelab.org/) conducts interdisciplinary, application-driven academic research in social computing and mobile computing. The Lab now has 30+ members, including 10+ PhD students from seven countries on this planet.

We are opening one full-time post-doc position. The successful applicant is expected to work on topics like computational social science, (scholarly/social) data analytics, or mobile social networks. The salary will be around 6,000 RMB/month, plus other Benefits. We will offer excellent working conditions.

Supervisor: Associate Professor Feng XIA

Working location: Dalian University of Technology @ Dalian, China

Start date: ASAP (Negotiable)

Duration: 2 years

Qualifications:

1. Applicants shall have PhD in related disciplines.

2. A good command of the English language (in speaking and in writing) is required.

3. Research experience in related areas is a plus.

Application procedure:

Please submit your application via email to Dr. Feng Xia (f.xia@ieee.org). The application should include a detailed CV (including email addresses of two referees), a brief statement of research plan (no more than one page), and at least two best scientific documents/publications written by yourself (in English). There is no deadline for application, but we will not accept applications once the positions are fulfilled. Interested applicants are highly encouraged to submit applications as soon as possible. 

For further information regarding these positions, please contact Dr. Feng Xia (f.xia@ieee.org).

All the best,

Feng

--

Feng XIA (夏锋), PhD, SMIEEE, MACM

Associate Professor and PhD Supervisor of Computer Science

Mobile and Social Computing Laboratory  (DUT Phone Lab: http://dutphonelab.org)

School of Software, Dalian University of Technology, Development Zone, Dalian 116620, China

Email: f.xia@ieee.org; f.xia@acm.org

URL: http://FengXia.NET

IBM University Relations BlueMix Contest

If you are unable to view this mailer, Click Here

Dear All,

In perhaps one of the largest Bluemix Campaign to reach out to the
academia, IBM India University Relations team announces a Bluemix Contest
which is open to all University students in India.

The contest is open and we are accepting entries till 15th Nov.
Please encourage your faculty contacts in urging students to participate
and win exciting prizes including some cool early Bird Prizes for the first
40 entries!

To help and support students build apps on Bluemix platform UR is
conducting a  20+ cities face to face session marathon in collaboration
with IIT Kharagpur.



Dear Sir / Madam,

In an endeavor to equip students with new age challenges and become job
providers then job seekers University Relations team of IBM India has
launched a IBM Bluemix contest for students. IBM Bluemix is a new Platform
as a Service (PaaS) offering from IBM.

The program is about providing a platform for students where they can learn
to convert their brilliant ideas in to applications and take it to the
market in the shortest possible time. To help them further we are
conducting overview sessions on IBM Bluemix at 20+ cities in India.
There are exciting Prizes to be won as part of the contest.

Details on the dates & venues of the Bluemix introductory sessions as well
as BlueMix contest are available at the following link
https://university-relations.in/wps/portal/urbluemixcampaign

Request you to please forward this information to interested students &
faculty.

(Embedded image moved to file: pic23221.jpg)


(See attached file: IBM Bluemix mailer.htm)




___________________________________________
IBM India University Relations
Web: http://www.ibm.com/in/ur

Thanks & Regards,

Sundaresh Joshi

iOS Developer at GIC APPLE+IBM Factory

IBM India Pvt Limited

Research Associate: Music IR Interfaces, Nottingham UK

As part of an £5.2M EPSRC Programme Grant (FAST: http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/L019981/1 ), the Mixed Reality Lab, in Nottingham UK, is advertising the following position:

Research Associate/Fellow - Music IR Interfaces (HCIR)

- Tool oriented (e.g. web development activities) research into exploring and discovering music

- http://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI268514

- Deadline: 15th Oct 2014

The FAST project is a collaboration between Nottingham, Queen Mary (London), and Oxford, and has several project partners including the BBC, Microsoft, The Internet Archive & Omnifone. The project is focused on the future of music information (about how it is made, by whom, on what instruments, where, and so on), and then how people will enjoy and consume music when users can use this information to explore, discover, and understand music. Nottingham's role in the project is to study how music is produced, and then also how people might explore music with better information about it. Queen Mary are the project lead and are focusing on analysing music. Oxford is focused on supporting the process of music production with technology.

Learn more about Nottingham's Mixed Reality Lab, our world leading staff, and the exciting research we do:

- http://www.nottingham.ac.uk/research/groups/mixedrealitylab/index.aspx

best

Max

Research Assistant Position in Patent Mining- University of Hildesheim, Germany

The University of Hildesheim, Germany, Dept. for Information Science & Natural Language Processing offers a position as research assistant (TV-L E 13, 100%).

The employment is initially for one year as part of a maternity and parental leave replacement to work on a research project in Trend Mining in patents and scientific literature, a funded collaboration between the University of Hildesheim and FIZ Karlsruhe - Leibniz Institute for Information Infrastructure.
Job Requirements:

₋    A degree in Information Science or a related field (Master, Magister, or Diplom)
₋    Ability to work independently and to work in a small team environment, willingness to engage in interdisciplinary research work
₋    Excellent knowledge of English (Good knowledge of German is also desired)
₋    Programming skills (e.g. JAVA, C++, XML, GUI development)
₋    Knowledge in some of the following areas:
₋    Information Retrieval
₋    Text Mining
₋    Clustering
₋    Patents and Patent information systems
₋    Analysis of information needs and behaviour
₋    Usability Methods and Visualisation

The Endowment University of Hildesheim is an Affirmative Action/Equal
Opportunity employer. Members of the under-represented gender are encouraged to apply.

Applications from applicants with a disability will be given preference if equally qualified.

For further enquiries please contact:
Prof. Dr. C. Womser-Hacker, E-Mail: womser@uni-hildesheim.de

The application should include the typical material (Cover Letter, CV, transcripts, publications)

Closing Date: October 20, 2014

Reference: Kennziffer 2014/83

Please send your application by mail to womser@uni-hildesheim.de

online version:

http://www.uni-hildesheim.de/service/stellenmarkt/stellenanzeige/artikel/201483-research-assistant-tv-l-e-13-100/

Informatica Campus Hiring Experience

Hi Sir,

Please find below some tips for Informatica recruitment event, do share it with the juniors. 

For the written test, 90% of the questions I had were Technical types, (but my seniors had Apti for the most part) So be prepared in everything.

 

Concentrate on DBMS, OS, most of the programming concepts, puzzles, networks etc.

For the interview, make sure you are good with basics on the core concepts from above mentioned topics like UNIX commands, DBMS concepts, OS concepts, different puzzles, different programming techniques. (I have heard that you have some problems in UNIX, but that is very important, brush up everything you can)

Puzzles, problem solving and programming techniques are intended to check the approach/ logical thinking rather than the solution, basically the spot light is on the way you reach the solution or the way you proceed. So even if you dont get the solution, it still shouldn't matter if your approach is very good.

HR is normal, don't worry, just be prepared with the usual HR questions.

Be confident and positive in the interview. Dont freak out, have a cool mind. 

Keep calm and good luck !

APT cyber security course

Dear sir,

This is advanced APT cyber security course. please put it in group. this course is free for first 100 members of CSI bangalore.

https://www.udemy.com/certified-apt-defender/?couponCode=csibangalore

This course is most fast moving and current course.