OPENSTACK CLOUD ENGINEERING PYTHON OR RUBY

DESCRIPTION

OpenStack Cloud Engineering Python or Ruby Major US Software Company with Dublin based team of 200+ are building their own private cloud through OpenStack and has an opening for a software engineer

 OpenStack Cloud Engineering Python or Ruby 

Major US Software Company with a Dublin based team of 200+ are building their own private cloud through OpenStack and has an opening for a software engineer with a background of either Ruby, Python or Node.js development to join the team.
The role will be hugely varied since this team are defining and building a cloud solution to be used by the company internally as a layer between HW and SW. Integrating OpenStack into the company’s ecosystem requires a significant portion of R&D, software development, building test automation tools, developing new applications and more besides.

Role / opportunity:
• Development through one or more of; Python, Ruby, Node.js
• Building hybrid cloud computing technologies – creating a provide cloud
• Using OpenStack as the core product
• Be part of a team of innovative, experienced engineers that have built highly available systems and services across the entire stack
• Without choosing to sound clichéd; passion, courage, imagination, and a sense of humor will be required here since you are forging new ground and shaping the future of computing within this PLC.
• Joining a team of 3 engineers in Dublin and 14 globally
• Dublin city center location

Skills / experience:
• Experience with OpenStack, Cloud Foundary or AWS
• Strong development experience with Python, Ruby or Node.js
• Must enjoy problem solving and technical challenging environments
• Being will to research and explore new and emerging technologies will be important
• Being comfortable with variety rather than being a purist

For original and complete post see here

Internship - Crowdsourcing and Data Management

Insight Centre at National University Ireland, Galway is seeking an intern student with a background in computer science. The intern will contribute to a research project that aims to leverage large amounts of data from sensors and users for behaviour change. The internship involves development of software prototypes and their evaluation using simulated and real-world datasets. The internship topics will be centred around Crowdsourcing and Data Management, in particular on problems related to collaboration and human factors. The duration of this paid internship will be for 3-6 months.

We are looking for applicants who demonstrate the ability to work in a research team for rapidly developing software prototypes. The applicants should have a proactive attitude to take ownership and initiative in all work assignments.

Minimum Requirements:

  - Full time registered student of a university

  - Currently perusing M.Sc. or PhD degree in Computer Science or related disciplines.

Essential Skills:

  - Good knowledge of HCI, ubiquitous computing, or artificial intelligence

  - Strong background in Java or Python programming

  - Experience with database standards, esp. SQL and JSON

  - Familiarity with Unix/Linux systems

  - Excellent analysis and problem solving skills

  - Strong design, development & testing skills

  - Excellent communication skills, verbal and written

Bonus Skills:

  - Experience with Semantic Web and Linked Data, esp. RDF, SPARQL, and Apache Jena

  - Experience with Play! Framework and Anaconda Python Distribution

  - Experience with development of RESTFul interfaces and web applications

Application:

All inquiries about this position may be made to:  umair.ulhassan@insight-centre.org

Further details at https://www.insight-centre.org/content/paid-research-internship-1-position

R&D Positions in Web Intelligence and Visual Analytics

WEB INTELLIGENCE AND VISUAL ANALYTICS
Researchers and Software Developers (Vienna, Austria)

www.weblyzard.com/jobs

Participate in award-winning international research projects and become part of a dynamic and interdisciplinary team. Closely working together with other researchers with a passion for developing novel solutions to challenging technical problems, you will collaboratively advance the state of the art in one or more of the following disciplines: Web Intelligence, Information Visualization, Big Data, Semantic Search Technologies, Distributed Computing and Linked Data.

The Department of New Media Technology of MODUL University Vienna and the Research Institute for Computational Methods of Vienna University of Economics and Business offer R&D and PhD Candidate positions, part- or full-time. Innovations from our research projects (www.weblyzard.com/research) enable novel showcases such as the Media Watch on Climate Change (www.ecoresearch.net/climate) and the semantic search of the U.S. Climate Resilience Toolkit (www.weblyzard.com/climate-resilience)

ESSENTIAL QUALIFICATIONS

o Strong Analytical Skills and Software Development Experience
(preferably in Python, Java, or JavaScript)

DESIRED QUALIFICATIONS, FOCUS AREA 1 :: Big Data and Distributed Architectures

o Information Retrieval and Semantic Search (Elasticsearch)
o Relational Data Modeling and PostgreSQL Optimization
o Deployment and Monitoring of Distributed Architectures (Docker, Nagios)
o Linux Server Administration, Network and Server Security (Ubuntu)

DESIRED QUALIFICATIONS, FOCUS AREA 2 :: Metrics and Visual Analytics

o Dashboards for Information Exploration and Web Intelligence Applications
o Dynamic Web Technologies (JavaScript, jQuery,  HTML5)
o Information Visualization (D3.js, WebGL)
o Decision Support and Communication Success Metrics

The positions remain open until filled. Salary levels follow the guidelines of the Austrian Science Fund (www.fwf.ac.at/en/research-funding/personnel-costs). MU Vienna and VUEB are equal opportunity employers and encourage qualified women to apply. Please send your application including cover letter, curriculum vitae and academic transcript to maximilian.lang@modul.ac.at (in English or German; preferably as a single PDF file not exceeding 8 MB).

---
Prof. DDr. Arno Scharl
MODUL University Vienna
Department of New Media Technology
Am Kahlenberg 1, 1190 Vienna, Austria
(email) scharl@modul.ac.at
(web) www.modul.ac.at/nmt
(twitter) @weblyzard

Oracle Announces Expanded Presence in San Francisco and Plans to Accelerate Hiring of Top Cloud Engineers

News SummaryOn the heels of strong quarterly earnings driven by cloud revenue, Oracle further boosts its position with new offices in San Francisco for public cloud product development. Drawing from the area's renowned talent, the company aims to hire creative engineers to inspire and lead next-generation platforms and infrastructure. This week, Oracle is hosting HackerX events in San Francisco and Santa Clara to offer interview and networking opportunities with key Oracle recruiters and top Oracle executives.

"As the only vendor who can give customers capabilities across a wide range of SaaS, PaaS, and IaaS products, Oracle is in an ideal position to be the leading Cloud vendor for enterprise," said Peter S Magnusson, Senior Vice President of Cloud Development, Oracle. "Recruiting the best engineers is central to our strategy. Historically, engineers experienced with distributed systems would have tended to be based in the South Bay, but that is no longer the case. With our expansion in San Francisco and soon in Berkeley, we're committed to attracting the very best talent with convenient working and commuting conditions."

News Summary

On the heels of strong quarterly earnings driven by cloud revenue, Oracle further boosts its position with new offices in San Francisco for public cloud product development. Drawing from the area's renowned talent, the company aims to hire creative engineers to inspire and lead next-generation platforms and infrastructure. This week, Oracle is hosting HackerX events in San Francisco and Santa Clara to offer interview and networking opportunities with key Oracle recruiters and top Oracle executives.

"As the only vendor who can give customers capabilities across a wide range of SaaS, PaaS, and IaaS products, Oracle is in an ideal position to be the leading Cloud vendor for enterprise," said Peter S Magnusson, Senior Vice President of Cloud Development, Oracle. "Recruiting the best engineers is central to our strategy. Historically, engineers experienced with distributed systems would have tended to be based in the South Bay, but that is no longer the case. With our expansion in San Francisco and soon in Berkeley, we're committed to attracting the very best talent with convenient working and commuting conditions." for original and complete post see here 

Research Associate or Senior Research Associate in UCL Machine Reading Group

Applications are invited for a Research Associate or Senior 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 project is funded through Riedel's Allen Distinguished Investigator Award [3].

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 ML/NLP 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

For senior posts the applicant is additionally expected to have experience in leading research projects and developing grant proposals. 

Application Closing Date: 4 Feb 2015

Start Date: March 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.

Assistant professor positions at CS department, Aalborg University, Denmark

Assistant Professors

Department of computer science at Aalborg University in Denmark

has several openings at the assistant professor level in all areas of

computer science department.

Assistant professor in Denmark is a position dedicated to people who

wish to qualify for a tenured faculty position. PhD degree is required.

It is a fixed term position typically offered first for 3 years with an option

to extend it for additional year.

Appointment as an Assistant Professor cannot exceed a period of four years

in total at Aalborg University in a temporary position (appointment at Assistant

Professor level cannot exceed a period of eight years in total in Denmark).

Besides other areas the department wishes to extend its activities

in the areas of Intelligent Web and Information Systems

if a suitable candidate is found. This includes:

-          Recommender systems
-          Information Retrieval
-          Web Engineering
-          Development of Intelligent Systems
-          Natural Language processing for web and information systems
-          User modeling, adaptation, and personalization
-          Other related areas

The new candidate should complement existing expertise but collaboration

with existing faculty members is also expected.

The candidate duties are:

-          Teaching at the graduate and postgraduate level (typically 12 lectures and

Several student groups to supervise per semester)

-          Research in his area of research
-          Funds raising or collaboration on funds raising

As this is a call for the whole department, candidate who fits this above profile

is requested to mention area "Intelligent Web and Information Systems under

Machine Intelligence".

PhD fellowships available at the Norwegian Univ. of Science and Technology

The Faculty of Information Technology, Mathematics and Electrical

Engineering (http://www.ntnu.edu/ime) at the Norwegian University of
Science and Technology (NTNU) has a vacancy for 6
PhD candidate positions at the Department of Computer and Information
Science (http://www.ntnu.edu/idi/). These positions are "free positions" in
the sense they are not pre-allocated to particular topics or supervisors,
the candidates with strongest background and best project proposals will
be selected.

If you have an interest in one of the positions within the research areas of
information retrieval or
database systems (http://www.idi.ntnu.no/grupper/dif/), please contact:
Prof. Kjetil Nørvåg, noervaag at idi.ntnu.no

More detailed information about the positions and application procedure:
http://www.jobbnorge.no/ledige-stillinger/stilling/108026/phd-candidates-at-
the-department-of-computer-and-information-science-ntnu

(Short link: http://bit.ly/1s8y1tK )

Closing date:  18th of January, 2015

Ph.D. Scholarship in Web Science Group at Hasso Plattner Institute (HPI), Potsdam, Germany.

Ph.D. Scholarship in Web Science Group

at Hasso Plattner Institute (HPI), Potsdam, Germany.

Are you interested in pursuing a Ph.D. in computer science in a
world-leading research institute?

In our Web Science group at HPI we offer a scholarship for an
outstanding student to join us in any of the research fields:
- information retrieval
- natural language processing
- data mining
- recommender systems


Candidates will have:
a very good master's degree (or an equivalent university degree) in
computer science or related disciplines (e.g., mathematics,
computational linguistics, information sciences, etc.) and will target a
Ph.D. degree. We expect eagerness to participate in team work,
outstanding analytical competence, strong interest in interdisciplinary
research and excellent programming and communication skills. Fluency in
spoken and written English is required. Language skills in German are
welcome. Qualified candidates who have not yet completed their master's
are also encouraged to apply.


We offer:
a creative, active, internationally renowned research group, support for
publication at leading international conferences, support in pursuing a
Ph.D., and an friendly working environment in a new, technically
excellent campus. HPI (http://www.hpi.de) is located close to Berlin,
offering a wide variety of educational opportunities, recreation and
tourism, and cultural events. Being directly connected to the Berlin
metro rail system, HPI can be reached from Berlin city center in about
25 minutes. Both Potsdam and Berlin are very vibrant cities, and have
large student and international communities.


How to apply:
Candidates are invited to apply with:
- detailed curriculum vitae and copies of degree
  certificates/transcripts,
- a statement of interest / letter of motivation,
- writing samples/copies of relevant scientific papers
  (e.g. thesis, etc.),
- letter of recommendation.

The position is open until filled. If you are interested please send
your application in PDF format with the subject heading 'Application for
PhD position' via email or via conventional mail to the following
contact:

Dr. Ralf Krestel

Hasso-Plattner-Institut für Softwaresystemtechnik GmbH
Universität Potsdam
Prof.-Dr.-Helmert-Str. 2-3
D-14482 Potsdam, Germany

Email: ralf.krestel@hpi.de
Web: http://www.hpi.de/naumann/web-science-group.html

Postdoc position in Cardiff (NLP, IR, machine learning)

AUTHORS ASSUME FULL RESPONSIBILITY FOR THEIR MATERIAL.

Job description

Applications are invited for a postdoctoral research associate post in the School of Computer Science & Informatics at Cardiff University. This is a full-time, fixed-term post for 30 months, starting on 1 May 2015 or as soon as possible thereafter. 

The main aim of this project is to learn fine-grained semantic relations from large text corpora. Initially such relations will be obtained in an unsupervised way, by identifying semantic relations with spatial relations between vector-space representations. Subsequently, open-domain, supervised relation extraction methods will be developed which use the output of the unsupervised methods as training data. This research will be part of an ERC funded project on the use of semantic relations between natural language terms in logics for commonsense reasoning. You will work closely with Dr Steven Schockaert. You will possess a PhD in Computer Science or a closely related area, or have equivalent experience.

Closing date for applications: Tuesday 3 February 2015

Essential criteria

- Proven ability to undertake research in a relevant research area (e.g. natural language processing, information retrieval, machine learning) at an international level, as evidenced by research output. 

- Excellent programming skills (java or C/C++). 

- A demonstrable history of contributing to excellent publications in relevant top-tier conferences (e.g. ACL, EMNLP, SIGIR, CIKM, IJCAI, AAAI, ICML) and journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, ACM Trans. Information Systems, IEEE Trans. Knowledge and Data  Engineering). 

- Proven ability to communicate specialist ideas clearly in English using written media. 

- Excellent organisational skills with a proven ability to work independently and be self-managing, to prioritise your work and meet deadlines within the framework of an agreed programme. 

- A PhD in Computer Science or closely related area, or equivalent experience.

Desirable criteria

- Knowledge of statistical natural language processing. 

- Knowledge of unsupervised and semi-supervised learning. 

- Knowledge of relation extraction. 

- Experience with analysing large text corpora using a high-performance computing environment. 

- Experience with dimensionality reduction methods such as multi-dimensional scaling, singular-value decomposition, and non-negative matrix factorisation.

More information

For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 2972BR. 

Postdoctoral Position in Information Retrieval

Qatar University (QU), the University of Maryland (UMD), and RMIT University are seeking applications for a postdoctoral researcher position for the development and evaluation of next generation real-time question-answering technology for Arabic microblogs.

The successful candidate will have the opportunity to conduct research (including design, implementation, and evaluation) on information retrieval problems (e.g., expansion techniques and topic detection), including "big data" challenges (e.g., dealing with real-time streams and potentially billions of tweets). In addition, the successful candidate will have freedom to pursue their own innovative ideas within the scope of the project.

The position is based in Doha, Qatar at the Qatar University campus. The team is led by Tamer Elsayed (Qatar University), in close collaboration with Douglas W. Oard (University of Maryland, College Park, USA) and Mark Sanderson (RMIT University, Australia), and with students at all three universities. The successful candidate will rotate annually between the three universities, being based in Qatar and spending one month at UMD and one month at RMIT each year to foster strong interaction across the entire research team.

Requirements

We are seeking a creative and highly-motivated researcher with experience in information retrieval, text mining, social media analytics, computational linguistics, machine learning, or a related field.  Preference will be given to candidates who combine expertise in several fields and candidates who have experience with scalable solutions (e.g., MapReduce, NoSQL). A strong publication record in top-tier conferences and/or journals is required. Effective spoken and written communication skills in English are required; neither Arabic language skills nor experience with Arabic language processing are required, but either would be a plus.

Why would I go to Qatar?

Qatar, located on the east coast of the Arabian peninsula, has a per-capita GDP among the highest in the world. Qatar's capital, Doha, is a vibrant, cosmopolitan, and safe city with easy access to the world. Doha, home to several universities, Al Jazeera, and the Qatar Computing Research Institute, is rapidly emerging as one of the premiere venues for language technology and social media research, and it was recently selected as the host city for the 2022 FIFA World Cup.

This position in Qatar offers a competitive, tax-free salary, health insurance, and additional financial allowances for housing, transportation, travel, and children's schooling, according to QU policy. The position comes with support for attending conferences and equipment, and provides significant opportunities for professional development.

Start Date

The position is available immediately.

Applying

To apply, please send the following information as PDF to telsayed@qu.edu.qa:

- CV

- Statement of research interests (maximum 1 page)

- Names and email addresses of at least 3 references

Application Deadline

Open until filled.

More information

http://faculty.qu.edu.qa/telsayed/PostDoc_Ad.aspx

University of Pittsburgh Ph.D. Program in Information Science invites candidates to apply by January 15, 2015

--------------------------------------------------------------

University of Pittsburgh's School of Information Sciences invites candidates to apply to Ph.D. Program in Information Science.

** Apply now: http://bit.ly/1GQ7CJZ 

** Learn more: http://bit.ly/1wCTpgC

** Application deadline: January 15, 2015

--------------------------------------------------------------

The University of Pittsburgh is home to one of the top-ranked institutions in Information Sciences in the United States. The School of Information Sciences (iSchool) has a rich history of training information professionals for careers in research, teaching and industry.

Students admitted to one of our PhD programs can expect to receive multiple years of full scholarship or funding in the form of research and teaching assistantships. Our generous package includes a full tuition waiver, full medical coverage and a competitive yearly stipend. 

We ensure that each student receives abundant intellectual guidance from faculty and gains the experience necessary to prepare him or her for future research careers. Our graduates hold tenure-track positions at leading universities and are leaders in industry and government domains because of the many opportunities available to them during their doctoral studies. These opportunities include research or industry internships, expected participation in international workshops and conferences, and collaboration with cross-disciplinary, cross-institutional, cutting-edge research teams.

Students can select specialized areas of research, including:

* Adaptive Web Systems

* Big Data

* Database Management

* Data Visualization

* Decision Support Systems

* Geoinformatics

* Human Robot Interaction

* Information Security and Privacy

* Intelligent Web Information Access

* Learning Technology

* Machine Learning

* Network Science

* Spatial Informatics

* Social Computing

* Wireless Information Systems

For more details about research, visit: http://www.ischool.pitt.edu/research/

University of Pittsburgh is ranked 42th in the world by U.S. News & World Report (http://bit.ly/1zV4RGr). It also recognizes Pitt's iSchool as one of the top 10 information schools in the nation (http://bit.ly/175XPD5). 

Visit our website for more information on the admissions process (http://bit.ly/1zg2fxE). Consider liking our Facebook page (https://www.facebook.com/ischoolpitt) to see what student life is like at the iSchool or follow us on Twitter (https://twitter.com/ischool_pitt) to keep up with important research news and deadlines.

The University of Pittsburgh is located in the Oakland neighborhood of Pittsburgh – a vibrant area home to several universities, public parks, restaurants, libraries and museums all within walking distance! To learn more about what Pittsburgh has to offer, visit Pitt's Cool Pittsburgh website (http://www.coolpgh.pitt.edu/).

=== Contact ===

If you have any questions about doctoral programs at the iSchool, please contact:

Shabana Reza (isinq@sis.pitt.edu)

Enrollment Manager

1-800-672-9435

Please note that the University of Pittsburgh will be closed for winter recess from Wednesday, December 24, 2014 through Sunday, January 4, 2015. However, you can still apply during that time!