PhD position in Paris Saclay Univ, Iterative and Expressive Querying for Big Data Series

PhD position in Paris Saclay Univ Title: Iterative and Expressive Querying for Big Data Series Research Areas: Data Management Systems/Databases, Interactive Visualization, Human-Computer Interaction Summary: 

Domains such as astronomy, and genome sequencing, are currently collecting a staggering amount of data, a significant percentage of which is in the form of data series. To make sense of it, scientists need to interactively explore them, by formulating hypotheses and progressively refining them. Our goal is to add iterative and expressive query mechanisms to big data-series collections. We propose novel interaction and visualization techniques for data series exploration and analysis, and focus on their scalability to multi-terabyte data-series collections. To this end, the thesis will develop interactive tools that allow analysts to express vagueness in their queries and then refine them in an iterative manner. The thesis will also introduce techniques for visualizing high-cardinality query results. Existing data-series indexing algorithms will need to be revised to accommodate the above requirements. Requirements: 

Masters (or equivalent) degree in databases/data management systems or related field, fluency in written and spoken English, solid programming skills. Any background in visualization and human-computer interaction or UI development experience is a plus. The candidate should be enthusiastic about research. Knowledge of French is not required. Coordinators: 

Themis Palpanas, Paris-Descartes University http://www.mi.parisdescartes.fr/~themisp Anastasia Bezerianos, University of Paris-Sud, Inria / Paris-Saclay https://www.lri.fr/~anab/ Starting Date and Funding: 

The thesis is expected to start in October 2016. The duration of a Ph.D. thesis in France is 3 years (maximum 4 years). Full funding is provided, including expenses for international conferences and other major research events.

 Application Process: Contact the thesis coordinators (see above) by April 20, 2016 by including an updated CV and a letter of interest. 

Work Environment:

The work will be conducted between the Paris Descartes University, located in the heart of Paris, and Inria located at the campus of Paris-Saclay, one of the largest research and business clusters in Europe. The diNo team (Paris Descartes University) directed by Themis Palpanas has world-class expertise on problems related to data series management, indexing, and analysis. It has developed the current state of the art data series indexes, experimentally demonstrating scalability to dataset sizes in excess of 1 billion data series, which is 2-3 orders of magnitude more than previous approaches. The team is applying these techniques to real-world problems, and has ongoing collaborations in this area with neuroscientists (Paris Descartes University), astrophysicists (Paris Diderot University), and Facebook. The HCC team (Paris-Saclay) is part of the DigiScope Equipex project on the use of connected, large display platforms for collaborative analysis of large amounts of information. Anastasia Bezerianos has several international research collaborations related to large data visualization and interaction that have led to publications in the top HCI and visualization venues. These include works on visual perception and graphical chart understanding, data exploration, uncertainty visualization, and temporal visualization and understanding. Theophanis Tsandilas (https://www.lri.fr/~fanis/) has a long experience on sketch-based interfaces, expressive graphical representations, and creativity-support tools.

Fully-funded PhD position on querying Big Data at Norwegian Univ. of Science and Technology

One fully-funded PhD research fellowship is offered in the ExiBiDa project (https://www.ntnu.edu/idi/exibida) in the Department of Computer and Information Science (http://www.ntnu.edu/idi) at NTNU.

In ExiBiDa, we will focus on exploratory analysis and querying of Big Data, and develop frameworks and scalable techniques for supporting such analytical queries. In particular, the PhD candidate will work with challenges related to efficient algorithms and index structures for processing Big Data, within one of the following topics:

1. Databases on modern hardware (multicore, GPU, NVRAM, etc.)
2. Efficient query processing on Big Data frameworks (parallel and/or distributed query processing)
3. Query processing on streaming data
4. Querying knowledge graphs

Qualifications: A master's degree in Computer and Information Science or equivalent with very good results is required. A solid knowledge of database systems and algorithms and an ability/desire to publish in top database conferences (VLDB, SIGMOD, ICDE, EDBT, CIKM) are essential.
Since Trondheim is a bilingual city where almost everybody speaks and understands English fluently, candidates need not be afraid of a language barrier. The working language of the research group is English.

For more information, please contact Prof. Kjetil Nørvåg (noervaag at idi.ntnu.no).

For detailed information about the positions and application procedure, please see: https://www.jobbnorge.no/ledige-stillinger/stilling/122205/phd-candidate-within-querying-big-data

Closing date:  17th of April, 2016

Postdoctoral Researcher Positions on Big Data ​Management & ​Machine Learning, DBWeb Team at Telecom ParisTech

Postdoctoral Researcher Positions on Big Data ​Management & ​Machine Learning

The DBWeb Team at Telecom ParisTech is seeking postdoctoral fellows to work on recent exciting challenges on machine learning​ for ​Big Data ​and the Internet of  Things. The appointment would be for one year, with the possibility of extension to two years. The research will be focused on massive data management and machine learning, with applications ​in several domains (business analytics,​ ​​​smart cities, cybersecurity, etc.).

Telecom ParisTech is an engineering school in Paris​, and one of the leading ​'Grande​s​Ecole​​s'​ in France. It was founded in 1878, and prides itself to have invented ​in 1904 ​the word 'telecommunication​'​. The ​'Grandes Ecoles' are the more competitive variant of universities in the ​French​ ​ ​education system, with student admission ratios of around 5%-10%.

​​Telecom ParisTech is located right in the center of Paris, the capital of France.

Requirements

Prospective applicants should have a recent Ph.D. degree in the following areas: Computer Science/Engineering, Computational Mathematics, or Statistics, and a sound publication record.

Applications

Interested applicants should send by email:

• a cover letter including a brief presentation of their academic record, the motivation and the skills of the candidate
• a full CV
• a list of at least 2 academic/industrial references (names and contact information only, not the actual letters)

The above should be e-mailed in a compressed file named after your surname

 (i.e., .zip) to albert.bifet@telecom-paristech.fr

PhD offer Reliable transport of live multimedia traffic, Université Grenoble Alpes

This research focuses on reliable transport of live multimedia flows, mainly audio and video. You will work on characterizing different types of networks, and propose original solutions to provide high quality of service on top of these networks when using several paths simultaneously. The two main goals to achieve are low latency, since we focus on live communications, and high quality of service, to provide the best experience to the user.

Many new services are provided over the top, which means that no specific lower layers services are provided by the network operators to build upon. Your goal will be to study, propose and implement a new transport protocol to reach the goal of high quality live multimedia communications using conventional Internet access. You will conduct research to study three different topics: (i) multi-path transport, (ii) reliable transport, using various strategies like retransmission, interleaving, coding, and (iii) dynamic adaptation. We expect thorough study with analytical and experimental approaches, with effective simulation and implementation results.

High quality prototype implementation is of prime importance and is an expected outcome of your work. You will interact with engineers developing professional hardware and software products for multimedia data transmission. They will provide all the necessary support to conduct real world experimentations to validate your results with practical use cases.

Skills & Expertise

Applicants for this position must have an MSc or equivalent at the time they start in the position. We are looking for excellent candidates with the following:

• Master degree in Computer Science, Computer Engineering, Electrical Engineering, Telecommunications or equivalent
• Strong motivation to conduct high quality research in a challenging environment
• Excellent programming skills and good software development practices
• Knowledge in network and kernel programming is a real plus
• Excellent English speaking and writing skills are mandatory
• Basic French skills are required, but this position is an opportunity to learn and improve

Salary & Benefits

• Annual gross salary: 27k€ (CIFRE contract with Digigram)
• Permanent contract
• 41 days of annual vacation
• Employer covers half of public transport commute expenses
• Employer covers part of your lunch expenses

Location and Institution

This position is a joint position with Digigram and Grenoble INP - LIG laboratory. Digigram and LIG are only a few kilometers from one another with a direct bus line between the two.
Created in 1985, Digigram is a leading company in providing solutions for audio and video broadcasting. Based in Montbonnot, in the Inovallee technological park near Grenoble, Digigram provides a dynamic and innovative environment in developing products at the edge of latest available technologies in very high quality audio and video over IP.

The LIG laboratory is located in Grenoble, the capital of the Alps. Grenoble is one of France’s major scientific and industrial centers for computer science and applied mathematics. The city lies amidst three mountain ranges and offers exceptional quality of life, with extensive public transportation and dedicated bikeways.

Grenoble INP, the Grenoble Institute of Technology, is one of Europe’s leading technology universities, at the heart of innovation for more than a century. Grenoble Institute of Technology is involved in major development projects such as Minatec, or the Minalogic (micro and nanotechnology and embedded software) and TEneRRDIS (renewable energy) industrial clusters. With its solid combination of teaching, research and business promotion, Grenoble Institute of Technology plays a key role in making Grenoble one of the most attractive scientific and industrial locations worldwide.

Research is one of Grenoble Institute of Technology’s strengths. The LIG laboratory is one of Grenoble INP 38 laboratories, some of which are shared with the CNRS (French national scientific research centre) and the other three Grenoble universities. The scientific project of the LIG laboratory is ambient and sustainable IT. The activities of the LIG cover five key scientific domains: (i) Software Engineering and Information Systems, (ii) Formal Methods, Models and Languages, (iii) Interactive and Cognitive Systems, (iv) Distributed Systems, Parallel Computing and Networks, (v) Large Scale Data and Knowledge Processing.

The Drakkar group investigates various aspects of network protocols, security and multimedia applications with the emphasis on wireless networks, sensors networks. The LIG lab will move to the brand new PILSI IMAG building Q2 2016, thus offering very high standard work environment.

How to Apply & Contact Information

If you need additional information on this job offer, please contact Franck.Rousseau@imag.fr
Please apply by sending the following documents to Franck.Rousseau@imag.fr

• Email subject MUST start with "[PhD Digigram]"
• Letter of application
• Curriculum vitae
• Transcripts for undergraduate and graduate studies
• References or letters of recommendation
• Applicant’s scientific report or paper written in english
• Any other document showing that you are an outstanding candidate

Application deadline: 01/07/2016

http://www.digigram.com
http://www.grenoble-inp.fr
http://www.liglab.fr
https://drakkar.imag.fr
http://www.grenoble.fr

Post Doctoral Researcher Opening distributed computing and networking in School of Computing, National University of Singapore

Post - Doctoral Researcher Ope ning (distributed computing and networking) in School of Computing, N ational University of Singapore (NUS), Republic of Singapore (http://www.comp.nus.edu.sg/)

Background on NUS and Singapore: According to QS World University Rankings 2 012, NUS ranks 9th worldwide in Computer Science and Information Systems. NUS School of Computing has around 80 faculty members and constantly pub lishes in top venues, with some highlight publica tions such as Best Paper in S IGCOM M 20 10 and Best Paper in STOC 2010.

Singapore is an English - speaking develope d country, whose per capita GDP ranks among top 5 in the world. Living c ost is quite reasonable (unless you want to buy a house or a car), and Sing apore has an exceptionally good public transportation system. The crime rate in Singapore is one of the lowest in the world. Details of the Position: An opening is immediately available for the position of Research Fellow (post - doctoral researcher) in the area of distributed computing and networking. The appointee i s expected to work closely with Associate Prof. YU Haifeng (http://www.comp.nus.edu.sg/~yuhf) and his research team on issues related to distribu ted computing and networking.

The most important goal of the research will be t o produce high - impact academic publications in the very best conferences (such as SIGCOMM ) and journals (such as ToN ) in the a rea. The duration is negotiate, but should be at least 1 ye ar (multiple years possible and preferred). Th e starting date is negotiable, and ideally sho uld be no later than the end of 2016. The salary is generous and is internati onally competitive (compared to Europe and US).

Requirements:
- At least a PhD degree from a good university
- Strong publication records
- Fluent in written and spoken English
- Ability and dedication to do world - class research
- Background in distribute d computing and/or networking

How to apply: To apply, please email your CV to YU Haifeng at haifeng@comp.nus.edu.sg. You will be contacted after y our CV has been reviewed. Email haifeng@comp.nus.edu.sg for any inquiries on the position.

Postdoc position in computer systems, VU University Amsterdam

High Performance Distributed Computing Group

The High Performance Distributed Computing group has decades of experience with programming methods for parallel, distributing, and mobile computing. In the past, it produced systems like Orca, MagPIe, Satin, JavaGAT, Ibis, Cuckoo, and SWAN. The group has very strong links to application domains such as machine learning, distributed reasoning, radio astronomy signal processing, digital forensics, e-health, economy, and many others.

An important topic of current research is how to program clusters with many-core accelerators, such as Graphics Processing Units and the Xeon Phi. Another topic is programming environments for distributed mobile applications, such as distributed smartphone-based sensing and Internet-of-Things. Also, combinations of high-performance and mobile computing (e.g., parallel processing on streams of sensor data) are of great interest.

Tasks

The postdoc should do experimental research on programming environments or challenging applications in one of the areas described above. We have a unique distributed experimental testbed (DAS-5) available, consisting of 6 geographically distributed clusters, including a 68-node cluster at the VU with different types of many-cores. In addition, we have a testbed for mobile computing. The work is experimental by nature. We also expect the postdoc to help with education, for example by supervising master projects.

Requirements
Candidates must have a PhD in Computer Science (or a related area) and experience with high performance or mobile computing. The candidate must be proficient in English.

Further particulars

The appointment will be for a period of 1 year. You can find information about our excellent fringe benefits of employment at www.workingatvu.nl such as:

• Remuneration of 8,3% end-of-year bonus and 8% holiday allowance;
• Participation in a solid pension scheme (ABP);
• A minimum of 29 holidays in case of full-time employment;
• A generous commuting allowance (65%) based on public transport.

Salary
The salary will be in accordance with university regulations for academic personnel, and depending on experience, range from a minimum of € 3,168 gross per month up to a maximum of € 3,997 gross per month (salary scale 10) based on a full-time employment.

Information
For additional information please contact:
Prof. dr. ir. Henri Bal
e-mail: h.e.bal@vu.nl
phone: +31 20 59 87733

You may find the following websites useful: 

• Department of Computer Sciences http://www.cs.vu.nl/
• High Performance Distributed Computing Group http://www.cs.vu.nl/en/research/computer-systems/hpdc/index.aspx

Application

Applicants are requested to write a letter in which they describe their abilities and motivation, accompanied by a curriculum vitae and two or three references.

Please send your application to informatica.secretariaat.few@vu.nl and mention the vacancy number in the e-mail header.

Any other correspondence in response to this advertisement will not be dealt with.

Postdoctoral Researcher to work on a project in the area of QoS Optimization in Market-Oriented Cloud Computing

We are seeking a highly motivated Postdoctoral Researcher to work on a project in the area of QoS Optimization in Market-Oriented Cloud Computing. The project is in collaboration with RMIT Australia.

The research project aims to develop a novel and unique framework for a sustainable and efficient cloud service market.  It aims at providing cloud consumers with the best set of tools to outsource tasks to cloud providers that meet their own economic model for costs savings, and QoS requirements over a period of time. The project also aims at empowering cloud providers with a novel framework to advertise their services and taking advantage of the economies of scale to maximize their profit.
This research centers on the development of a novel QoS-based cloud service composition framework for both cloud end-users and cloud service providers. 

The contract is for 2 years and the candidate must be reallocated to Qatar. The position is available immediately and will remain open until filled.

Applicants should have the following qualifications:

• Ph.D. degree in Computer Science in an area close to the scope of the project.
• Strong background in one or more of the following areas: Market-Oriented Cloud Computing, QoS modelling and Optimization, QoS-based cloud service composition, Economic models for Cloud Computing.
• Good publications record demonstrating ability to conduct quality research.
• Strong English communication skills.

Applications will be reviewed immediately and the review process will continue until the position is filled.

Employment benefits include:

• Competitive, tax-free salary
• Housing allowance
• Annual round-trip air tickets for the candidate and his/her dependents
• Educational allowance for candidate’s children, in accordance with QU HR policies
• Public health care and health insurance to candidate and family members
• Annual paid leave, in accordance with QU HR policies

To apply, candidates should email the following to erradi@live.com:

• Curriculum Vitae, including lists of publications, educational background and work experience
• Short research statements (maximum 1 page)
• Names and email addresses of at least 3 references

Qatar University Profile

Qatar University is the premier national institution of higher education in Qatar offering a variety of academic, research and community outreach programs. Qatar University has an international faculty dedicated to the education of its 15,000+ students and to building strong graduate programs and research capabilities with emphasis on addressing national and regional needs and priorities.
The University is located in Doha, Qatar, a vibrant modern city which welcomes visitors and residents from around the globe. The state of Qatar is a small peninsula in the Arabian Gulf, with substantial oil and natural gas reserves. Qatar is one of the wealthiest states in the region and has developed high quality health care and education systems. The country has dedicated 2.8% of its revenue to fund scientific research. The country is bilingual in both Arabic and English. Doha offers all of the modern facilities and services found in the world’s major cities and a safe and high quality life style.

Contact

Phone: 4403 4254
Office:  C07-132  Female Engineering Building
erradi@qu.edu.qa

 

http://faculty.qu.edu.qa/erradi/