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

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/

 

 
 
 

Postdoc position : Process Analytics for the European Data Science Academy

The European Data Science Academy (EDSA) is a coordination and support action of the H2020-ICT-15-2014 Big data and Open Data Innovation and take-up program. The aim of the EDSA project is to contribute to capacity-building by designing and coordinating a network of European skills centers for big data analytics technologies and business development. TU/e (Eindhoven University of Technology) is one of the nine partners in this program focusing on topics such as process mining and other types of process analytics. In this context we are looking for a Postdoc until January 31st 2018, starting as soon as possible.

Data Science Centre Eindhoven (DSC/e)

The postdoc will join the Architecture of Information Systems (AIS) group at Eindhoven University of Technology (TU/e). AIS is one of the 28 research groups of the Data Science Centre Eindhoven (DSC/e). DSC/e is TU/e’s response to the growing volume and importance of data and the need for data & process scientists (http://www.tue.nl/dsce/). DSC/e is one the largest data science initiatives in the Netherlands and therefore involved in the European Data Science Academy (EDSA). The AIS group is one of the leading groups in the exciting new field of process mining (www.processmining.org). Process mining techniques focus on process discovery (extracting process models from event logs), conformance checking (comparing normative models with the reality recorded in event logs), and extension (extending models based on event logs). The work resulted in the development of the ProM framework that is widely used in industry and serves as a platform for new process mining techniques used by research groups all over the globe. Moreover, many of the techniques developed in the context of ProM have been embedded in commercial tools. See also www.processmining.org.

European Data Science Academy (EDSA)

EDSA aims to deliver the learning tools that are crucially needed in order to educate the data scientists needed across Europe.  Comprised of a consortium of academic and industry institutions with an excellent track record in professional training in Big Data, open data, and business development; and with strong ties to a wide range of stakeholders in the global data economy, EDSA will implement a cross-platform, multilingual data science curricula which will play a major role in the development of the next generation of European data practitioners. To meet this ambitious goal, the project will constantly monitor trends and developments in the European industrial landscape and worldwide, and deliver learning resources and professional training that meets the present and future demands of data value chain actors across countries and vertical sectors. This includes demand analysis, data science curricula, training delivery and learning analytics. EDSA will provide deployable educational material for data scientists and data workers and thousands of European data professionals trained in state-of-the-art data analytics technologies and capable of (co)operating in cross-border, cross-lingual and cross-sector European data supply chains. TU/e will play an important role in the development of learning analytics based on process mining techniques. Specifically, we will monitor study behavior in detail (with careful consideration of privacy issues) and provide insights into the actual learning experience. All events captured (e.g., watching videos or making online assignments) will be stored in a “process cube”, i.e., a data warehouse holding learning-related events and having dimensions based on student attributes (age, experience, gender, nationality), deployment form, and other course characteristics. The process cube will be used to analyze differences between courses and students, e.g., create process models showing differences between students that pass and those that fail. Next to using process mining for learning analytics, the postdoc will be involved in the development of curricula and learning resources focusing on the interplay between process science and data science. Note for example the MOOC Process Mining Data Science in Action (https://www.coursera.org/course/procmin). The MOOC but also the video lectures at TU/e will be analyzed using process mining techniques.  


The postdoc will join the Architecture of Information Systems (AIS) group at Eindhoven University of Technology and focus on the interplay of process mining and data science education. The appointment will be from ‘as soon as possible’, until January 31st 2018.

Requirements

We are looking for candidates that meet the following requirements:

•     a solid background in Computer Science or Data Science (demonstrated by Master and PhD degrees);
•     a relevant PhD is expected (ideal candidates have a strong background in process/data mining and an interest in learning analytics);
•     candidates from non-Dutch or non-English speaking countries should be prepared to prove their English language skills;
•     good communicative skills in English, both in speaking and in writing;
•     candidates are expected to realize research ideas in terms of prototype software, so software development skills are needed.

Note that we are looking for candidates that really want to make a difference and like to work on things that have a high practical relevance while having the ambition to compete at an international scientific level (i.e., present at top conferences and in top journals).

Conditions of employment

We offer:

•     a full-time temporary appointment for a period of 36 months;
•     salary in accordance with CAO of the Dutch universities;
•     support for your personal development and career planning including courses, summer schools, conference visits etc.;
•     a broad package of fringe benefits (e.g. excellent technical infrastructure, child daycare, and excellent sports facilities).

Information and Application

More information:

The full vacancy, including application form, is available at http://jobs.tue.nl/en/vacancy/postdoc-process-analytics-for-the-european-data-science-academy-254397.html

More information about this position contact dr.ir. Joos Buijs (Assistant Professor), e-mail: j.c.a.m.buijs@tue.nl or by telephone: +31 40 247 3661.
More information about the employment conditions contact drs. Charl Kuiters (HR advisor), e-mail: pzwin@tue.nl or by telephone: +31 40 247 2321.

The application should consist of the following parts:

Cover letter explaining your motivation and qualifications for the position (the letter should show an understanding of process mining and the work done within AIS, see websites such as www.processmining.org and the book "Process Mining: Discovery, Conformance and Enhancement of Business Processes");
    Detailed Curriculum Vitae;
    List of courses taken at the Bachelor and Master level including marks;
    List of publications and software artifacts developed;
    Pointer to a copy of the PhD thesis and key publications;
    Names of at least three referees.

Please apply through this website.
Applications via e-mail will not be accepted!

Phd Research Fellowship On Querying Big Data ,The Norwegian University Of Science And Technology (Ntnu)

PHD RESEARCH FELLOWSHIP ON QUERYING BIG DATA AT THE NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY (NTNU)

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), http://www.ntnu.edu/employees/noervaag

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:  15 of March, 2016

PHD Scholarship: Distributed Data-Intensive Service Composition

Value: NZ$25,000pa stipend plus tution fees for 3 years.
Tenure of award: 3 years.

Closing dates for applications:

The successful student is expected to start before 1 Nov 2016. The position is open until filled.

Number of awards offered: One.

History or background of award

A scholarship, supported by the Marsden Fund, is available for a PhD student to work in the Evolutionary Computation Research Group, School of Engineering and Computer Science at Victoria University of Wellington (VUW), New Zealand.

The scholarship will cover tuition fees, provide a stipend for up to 3 years and support a Marsden funded project in distributed data-intensive service composition. The project will focus on developing new evolutionary computation algorithms for data-intensive service composition, selection and distribution. Research experience and knowledge in the area of web services and service composition, combinatorial optimisation, distributed database systems, and/or big data would be an advantage. The student will be supervised by Dr. Hui Ma at VUW and Prof. Sven Hartmann at Clausthal University of Technology, and work together with other people at the Evolutionary Computation Research Group.

Selection criteria

Applicants need a BSc with a first class Honours or Master’s degree in Computer Science (with a GPA of 3.5/4.0 or above), including research experience and publications in web service composition and distribution, databases, big data, evolutionary computation, and/or combinatorial optimisation. Strong programming skills (Java/C++, R, Matlab ) are required.
The applications also need to meet the English requirements to enter the PhD program in Computer Science at VUW.

How do students apply?


Regulations
Additional information

Students will be responsible for payment of the student levy and international insurance (if applicable).

Additional academic training cost including travel to a conference may be available on a case by case basis.

Decision makers

Applications will be considered by a team led by Dr Hui Ma.
What conditions are attached to acceptance of this award?

Successful applicants will be required to sign a Victoria University Research Scholarship contract.
Who else has information about this award?

For more information on our research, please visit http://ecs.victoria.ac.nz/Groups/ECRG/ and https://ecs.victoria.ac.nz/Main/HuiMa.

For guidelines, application forms and more information about this award contact:


Position: The Scholarships Office
Organisation: Victoria University of Wellington
Address: PO Box 600 Wellington 6140 New Zealand
Phone: +64 4 463 5557
E-mail: scholarships-office@vuw.ac.nz
Website: http://www.victoria.ac.nz/study/student-finance/scholarships

Two PhD and two Post-doc Positions in computational social science ,Dalian University of Technology, China

Two Phd and Two Post-doc Positions in computational social science (Dalian University of Technology, China)

Deadline for application: 19 Feb 2016.

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

We are opening 2 PhD student positions in social computing (including e.g. computational social science, data analytics, big scholarly data, social network analysis, etc). All positions will be coupled to full Chinese Government Scholarships. Basic living allowance will be 3,500 RMB/month, plus Comprehensive Medical Insurance and Benefit. The scholarships are exempt from registration fee, tuition, and fee for basic learning materials. Accommodation on campus will be provided for free. The University will offer excellent working conditions.

We are opening two full-time post-doc positions. 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: Professor Feng XIA
Working location: Dalian University of Technology @ Dalian, China
Start date: ASAP (Negotiable)
Duration: 2 years (fixed)

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 required.

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 (http://FengXia.NET).

Multiple PhD Positions operating system, distributed system, and concurrency projects, USA

Multiple PhD positions for the academic year starting in Fall 2016 are available on operating system, distributed system, and concurrency projects. The OS project (popcornlinux.org) involves developing scalable OSes and hypervisors for emerging multicore architectures with heterogenous instruction sets, distributed systems, and exascale systems, and transitioning them into open-source OS/hypervisor infrastructures (e.g., Linux, Xen). The concurrency project (hyflow.org) involves developing scalable concurrency control, transactional memory, and transactional storage protocols for multicore, cluster- and geo-scale distributed systems, and transitioning them into open-source compiler/run-time and middleware infrastructures (e.g., GCC, LLVM, Infinispan). Opportunities also exist in a new project that is exploring formal methods (e.g., theorem-proving) for verifying systems software (e.g., Linux kernel). Positions require an MS in Computer Engineering, or Computer Science, or a closely related field, matching background and interests, strong programming skills in relevant languages, and strong self-initiative, while being a team player.

Details of Virginia Tech's PhD program in Computer Engineering, application deadlines, standardized test score requirements, how to apply, etc., can be found at: https://www.ece.vt.edu/graduate/admissions.html. Interested applicants are encouraged to first contact Prof. Binoy Ravindran with a resume.

Postdoctoral position in Federated Database System/Data Mining, Department of Computing Science at Umeå University

Postdoctoral position (2 years) in Federated Database System/Data Mining

The Department of Computing Science at Umeå University, Sweden (http://www.cs.umu.se/english/), invites applications for a postdoctoral position . The successful candidate will join the recently funded project in Umeå University on academic federated database construction and cross-database analysis for research purposes of data from distributed databases. Topics considered as particularly relevant for this position are data integration, privacy preservation, ontology based knowledge mining, and large-scale data analysis.

Priority is given to applications before March 31, 2016, continue until the position is filled
The position is expected to start from June 1, 2016, or as otherwise agreed.

 REQUIREMENTS

The applicant must have a PhD degree in computer science or another subject relevant for the project. In particular, the applicant must have a background in the area of data systems, especially on heterogeneous database integration and management. The PhD degree shall not be more than three years old by the end of the application period unless there are special reasons. Good research merits and excellent publications in the area of the position are strongly meriting. Excellent communication skills in both written and spoken English are required.

Particular emphasis will be put on the degree of academic experiences, practical skills and interest in the following areas:

• Research and practical experiences on database system is essential, especially on distributed, autonomous, heterogeneous databases integration, federated database deployment and management (e.g., query, concurrency control).
• Experience on privacy preservation on federated databases, data mining, and relevant topics would be a plus.
• Programming proficiency on at least one objective language and one script language (e.g., Java/Matlab/Python/Perl/C/C++)
• Publication records on database system, database management, or relevant disciplines
• Experience of Web service deployment and development under Windows/Linux
• Ability and experience of applying open source software (Apache tomcat, Mysql, Lucene, Spark etc.)
• Internal and international collaboration experience in academia/industry on database technology
• Proficiency in English, both spoken and written, is required.

APPLY ONLINE

For full position description and to apply, go to:
https://umu.mynetworkglobal.com/en/what:job/jobID:90200

For informal inquiry, contact LILI.JIANG@CS.UMU.SE

The Department has also announced PhD student position, Computing Science with focus on privacy preservation in database systems, Umeå University, Department of Computing Science

PhD student, Computing Science with focus on privacy preservation in database systems, Umeå University, Department of Computing Science

PhD position in Federated Database System/Data Mining

The Department of Computing Science at Umeå University, Sweden (http://www.cs.umu.se/english/), invites applications for a full-time PhD position. The successful candidate will join the recently funded project in Umeå University on academic federated database construction and cross-database analysis for research purposes of data from distributed databases. Topics considered as particularly relevant for this position are data integration, privacy preservation, ontology based knowledge mining, and large-scale data analysis.

Priority is given to applications before March 31, 2016, continue until the position is filled
The position is expected to start from June 1, 2016, or as otherwise agreed.

REQUIREMENTS

The general admission requirements for doctoral studies are an undergraduate degree and completed courses corresponding to at least 240 higher (ECTS) education credits, at least 60 of which were awarded in the second-cycle, or substantially equivalent knowledge otherwise acquired in Sweden or abroad.

To fulfill the specific entry requirements for doctoral studies in computing science the applicant is required to have completed courses at advanced level in computing science or another subject considered to be directly relevant for the specialization in question, equivalent to 60 ECTS credits.
In the selection of candidates particular emphasis will be put on the degree of experiences, skills and interests in the following areas:

• Significant interests in database systems, especially on heterogeneous database integration and privacy preservation in federated databases
• Programming proficiency in at least one object-oriented language and one script language (e.g., Java/Matlab/Python/Perl/C/C++)
• Ability and experience of applying open source software (Apache Tomcat, MySql, Lucene, Spark etc.)
• Good skills in both spoken and written English are a requirement for the position.

Other desirable qualifications are:

• Experience of processing large data sets
• Experience of web service deployment under Windows/Linux
• Internal and international collaboration experience in academia/industry on database technology and privacy preservation or relevant disciplines
• Publication on database system, privacy preservation, data mining or relevant disciplines Important personal abilities are coordination and organization skills as well as good communication skills.

APPLY ONLINE

For full position description and to apply, go to:
https://umu.mynetworkglobal.com/en/what:job/jobID:90159/

For informal inquiry, contact LILI.JIANG@CS.UMU.SE

A Postdoctoral position in Federated Database System/Data Mining, Department of Computing Science at Umeå University is also announced

PhD Positions in Databases Data Science on Modern Hardware, TU Dortmund University

Interested in high-class research in the field of databases and modern hardware architectures?  As the Databases and Information Systems Group (DBIS Group) at TU Dortmund University, we're looking for talented, enthusiastic, and visionary

Research Assistants (PhD students)

At TU Dortmund University, we are exploring the use of modern hardware technologies, including multi-core processors, GPUs, and FPGAs, to accelerate database and Data Science tasks.  The DBIS Group is part of the Collaborative Research Center SFB 876 at TU Dortmund, a world-leading research effort in the Data Science field.

As a PhD student, you'd be part of that effort; you'd support our group in close collaborations with other groups in the department, but also with practitioners that need your help to handle vast amounts of data, e.g., from the LHC particle accelerator at CERN.

TU Dortmund University is among the largest and strongest universities in the metropolitan "Ruhr" area.  The Internet in Germany has its roots in the IT support center of our Computer Science department.

As a research assistant (PhD student), you'd be paid according to the TV-L 13 pay scale; roughly 40,000 EUR per year gross salary, plus attractive support for pension and health insurance.

For further information, please visit

http://dbis.cs.tu-dortmund.de/cms/en/home/jobs/

or contact Jens Teubner, jens.teubner@cs.tu-dortmund.de.





Download Official Call (pdf)

Applications enclosing the usual material may be sent until 03.03.2016 under reference number w18-16 to to:
Jens Teubner
DBIS Group, TU Dortmund University
Otto-Hahn-Strasse 14, 44227 Dortmund, Germany
jens.teubner@cs.tu-dortmund.de

PhD Scholarship in real-time bidding, computational advertising, and big data analytics, Florida Atlantic University

PhD Scholarship in real-time bidding, computational advertising, and big data analytics

The College of Engineering and Computer Science at Florida Atlantic University and the Bidtellect, a global leader in native advertising technologies and solutions, have recently teamed up to establish a "Bidtellect Laboratory" focusing on real-time bidding and computational advertising.

Applications are invited for two full-time PhD scholarships in real-time bidding, computational advertising, and big data analytics to start in August 2016 (or Spring 2017). The PhD positions are fully funded. Both students will work closely with the industry to design real-time bidding algorithms on commercial platforms which support billion level transactions on a daily basis.

Successful applicants should

1. Have an undergraduate (honors) or master degree (preferred) in computer science or related field (preferably with good knowledge in data mining, machine learning, mathematical modeling, and statistics).
2. Be familiar with big data analytics tools and platforms.
3. possess solid programming skills in Java, C/C++, etc.

The due date for Fall admission is February 15 2016 (International Students), and Spring admission deadline is July 15.

For general admission information, please to the following URL:
http://www.fau.edu/graduate/applyonline/international.php

For Computer Science and Computer Engineering PhD admission criteria, please refer to the following URL.

http://www.fau.edu/graduate/programs/docs/phd_computer_science.pdf
http://www.fau.edu/graduate/programs/docs/phd_computer_engineering.pdf

Interested applicants should send detailed Resume to Xinquan (Hill) Zhu (xzhu3@fau.edu).
Xingquan (Hill) Zhu
Dept. of Computer & Electrical Engineering and Computer Science
Florida Atlantic University
http://www.cse.fau.edu/~xqzhu

Two Postdoctoral research fellow positions at the University of Melbourne's Department of Computing & Information Systems

Join a world-class research group in one of two open postdoctoral research fellow positions at the University of Melbourne's Department of Computing & Information Systems, situated in one of the world's most liveable cities. Applications close end of February.

The first position is in adversarial machine learning. Little is known about how well state-of-the-art inference techniques fare when data is manipulated by a malicious adversary; this project aims to evaluate the robustness of broad classes of learners using tools from optimisation, and to explore consequences of robustness to computer security. This position is funded by an Elon Musk-backed grant from FLI. Further details:

http://jobs.unimelb.edu.au/caw/en/job/887407/research-fellow-in-adversarial-machine-learning

The second position is to research machine learning and systems. Topics span probabilistic databases, adaptive importance sampling, crowd sourcing, data integration, machine learning workflows. This position is funded by an Australian Research Council grant "Democratising Big Machine Learning". Further details:

http://jobs.unimelb.edu.au/caw/en/job/887416/research-fellow-in-machine-learning-systems

Both positions offer a competitive salary of $82k AUD plus 9.5% superannuation (PhD entry level A6). Applications close at the end of February via the links above.

For queries please email the project CI, Ben Rubinstein at benjamin.rubinstein@unimelb.edu.au Or visit http://bipr.net to learn more about the research group which has strong international collaborations and connections to industry. The CI will be at AAAI'16 this month.

Close date: 1 Mar 2016

multiple PhD student positions and a Post-doc position, The Dynamic and Distributed Information Systems Group at the University of Zurich (Switzerland)

The Dynamic and Distributed Information Systems Group at the University of Zurich (Switzerland) is inviting applications for

multiple PhD student positions and a Post-doc position

with a keen interest in at least one of the following areas:

• Social Computing, Crowdsourcing
• Semantic Web, Graph Processing
• Big Data
• Heterogenous Data Processing
• Artificial Intelligence

The PhD students will be supervised by Prof. Abraham Bernstein. The focus of the research activities will be in the broad areas of distributed data processing on the Semantic Web or social computing / crowdsourcing and will be linked with a number of new and existing research projects (including ViSTA-TV, CrowdLang, Signal/Collect). Most projects in the group are funded by research foundations such as the Swiss National Science Foundation, the EC, or the HaslerStiftung.

Offer:

• a team of young and highly motivated colleagues who are passionate about research
• a work environment that is well equipped with the newest hardware and software technology
• a competitive salary (annually about 55'000-60'000CHF/~55',000€ for PhD students; 80'000-90'000CHF/~81'000€ for postdocs)
• strong support for your personal development and career planning
• an attractive work environment both within the research group and beyond: the University of Zurich is one of Switzerland's leading universities in the middle of a vibrant, cosmopolitan city that regularly ranks as one of the cities with the highest quality of life in the world
• A highly successful PhD program with graduates at top rated institutions world-wide

You have:

• a master's degree in informatics, computer science, information systems (or an equivalent university study) for the PhD student position and a PhD degree for the postdoc position.
• strong analytical/mathematical skills
• expertise in database systems, Semantic Web / Linked Data, HCI, or economics is helpful.
• good programming skills in several languages
• an interest in applying computer science research to real-world problems
• excellent command of English; German is a plus but not required

If you fit the profile, are able to work in a team, like challenging tasks, and are passionate about research then we would love to hear from you. To apply for one of the positions, please send a detailed curriculum vitae, all grade transcripts, selected publications (if available), a list of at least three references, and your BSc/MSc theses in one PDF file by email to
Prof. Abraham Bernstein, Ph.D.
Department of Informatics
University of Zurich, Switzerland
http://www.ifi.uzh.ch/ddis/people/bernstein/
Email: ddisjobs "at" lists "dot" ifi "dot" uzh "dot" ch

Additionally, applicants may arrange for three letters of recommendation to be sent to Prof. Bernstein directly, however, this is not required.

All applications received until March 1^st, 2016 will be considered for the positions. Applications received afterwards will be considered until all positions are filled.

The University of Zurich is committed to enhancing the number of women in scientific positions and, therefore, particularly invites women to apply. Women who are as qualified for the position in question as male applicants will be given priority.

Post-Doctor in Informatics with Specialization in Software Testing, Sweden

The position is offered within the area of Informatics which at the University of Skövde is defined as the study of how information is represented, processed and communicated in artificial and natural systems, as well as how IT systems are used and developed to ensure usability for individuals, organizations or society. The positon has a specialization in Software Testing, which at the University of Skövde is part of Computer Science and entails study of basic theory and methodology for testing software. The concept includes, among other aspects, test design, test coverage criteria and test analysis, as well as complexity, algorithms and programming.

Application deadline: March 8th, 2016Reference number: HS 2016/87

This position mainly concerns research. The research is conducted within the TOCSYC project, a distributed research environment with focus on testing of critical system properties. The research environment extends over several universities and a research institute.
As a Postdoc in the project you will be involved in research and development of effective and efficient methods to test non-functional properties such as performance efficiency and robustness, in embedded systems using model-based and mutation-based approaches. The area of research can partly be adapted to the expertise of the applicant.

Collaboration between the partners in TOCSYC is close, which means that flexibility and willingness to collaborate are paramount. As a Postdoc in the project you will connect two work packages within the distributed research environment, at University of Skövde and Mälardalen University, and thus contribute to the coupling between these nodes in the area of model-based testing and mutation-based testing.

TOCSYC provides a strong international research-intensive environment with focus on testing non-functional properties in embedded systems, which is a critical issue for the Swedish export industry. You can read more about TOCSYC at www.tocsyc.se.

Qualification requirements

The qualification requirements are:

• PhD in Informatics or equivalent subject or have a foreign degree deemed equivalent to a PhD, and have obtained the PhD not longer than three years prior to the application deadline. If there are special circumstances the PhD could have been obtained earlier

• ability to communicate well, orally and in writing, in English.

Bases of evaluation
In addition to the qualification requirements, the bases of evaluation for this position are:

• Degree of proficiency that is required for the employment (see the qualification requirements).

• Good collaboration ability.

• Good knowledge in software testing.

• Good knowledge in mutation analysis.

• Good knowledge in programming.

• Good knowledge in UML.

For this position, special emphasis will be placed upon good collaboration ability and good knowledge in software testing.

The University of Skövde strives towards ethnical and cultural diversity and equal gender distribution within all employment categories. As the majority of the employees in the research environment are men, the University especially invites women to apply for this position.

The position as Post-Doctor is fulltime and done accordingly to the collective agreement between the Swedish Agency for Government Employers OFR-S, SACO-S and SEKO. The position is a temporary position for two years.

Your application

Your application must be marked with the reference number and provided to the Registrar, University of Skövde, Box 408, SE-541 28 Skövde, Sweden or by e-mail to registrator@his.se no later than deadline. The application must be submitted with an attested list of qualifications, certificate of degree and other certificates, a brief written account of scientific, pedagogical and other activities, a list of (all) publications and the work referred to, no more than five scientific publications (a minimum of two published during the last three years). Information about employment at the University is provided in our Terms of Employment (Anställningsordning).

Source

PhD Student Position in Elastic Resource Allocation for Query Optimization IRIT Lab, France

PhD Student Position in Elastic Resource Allocation for Query Optimization

IRIT Lab. (https://www.irit.fr/) - Pyramid Team - Paul Sabatier University - Toulouse - France Supervisor’s Names : Abdelkader Hameurlain (hameurlain@irit.fr) and Shaoyi Yin (Shaoyi.yin@irit.fr).

Pyramid Team (Dynamic Query Optimization in Large-scale Distributed Environments ; https://www.irit.fr/-Equipe-PYRAMIDE-) is likely to get a PhD scholarship for 3 years (Doctoral School MITT, http://www.edmitt.ups-tlse.fr/).

Context

In parallel and distributed large-scale environments (Cluster, Grid, Cloud), the Pyramid team addresses the main problems of query processing and optimization, targeting large volumes of data distributed in large scale. To manage a huge amount of data there are two approaches : parallel database systems and cloud systems (e.g. Hadoop, MapReduce, Spark, HDFS). The parallel database systems have been an important success, both in research in the early 90s and now in industry. They have enabled many applications handling large data volumes to meet their requirements in terms of performance (e.g. Response Time) and resource availability. It is recognized that parallel database systems are very expensive and require having high level skills within the company to administer the systems and databases. As for cloud systems, they allow a company to reduce these costs in term of infrastructure either by purchasing a server comprised of low-cost commodity machines or by renting a service in pay-per-use. Public Clouds provide on demand resources and services with advantages of scalability and elasticity. However, elasticity paradigm raises a new challenge regarding the design of efficient and profitable resource allocation models.

PhD Subject : Elastic Resource Allocation for Query Optimization

The objective is to design and develop an elastic resource allocation model for query optimization. In fact, the allocated resources (on the provider side) should increase or decrease in accordance with the demand of services (on the tenants side), in order to maintain a QoS and to meet the SLAs (Service Level Agreement). The main criteria of QoS taken into account are the performance (e.g. query response time) and the availability of services (e.g. data availability). As for the SLA, a kind of provider-consumer contract, it specifies a set of constraints to meet and objectives to reach, in terms of performance or service availability. The main challenge is to find the best trade-off between the tenants’ satisfaction in terms of QoS and the providers gain in terms of profitable resource management.

Requirements :

Distributed and Parallel Systems, Database Systems, Query Processing and Optimization, Cost Models, Cloud Systems, Hadoop, MapReduce, Spark, Programming Languages (C, C++, Java, Python, ...).

The application should include following documents (PDF format, see : http://www.edmitt.ups-tlse.fr/).

1- CV mentioning all your degrees
2- Motivation letter from the applicant explaining his/her choice of the proposed thesis subject
3- Recommendation letters
4- Details of your grades since you started higher education with ranking.

Applications in digital form (pdf) should be sent to : hameurlain@irit.fr

Application Deadline : February 8th, 2016

Start Date : September 1st, 2016.

Remuneration : the PhD Scholarship is approximatively 1684 Euros (Gross).
Once the candidate is selected by Pyramid team, he/she will be auditioned by a committee.

Source Annoucement

Postdoc position in Databases at La Trobe University Melbourne Australia

La Trobe University Melbourne Australia is seeking a Postdoctoral Fellow with a strong background in the broad areas of Databases, Data Integration, Data Warehousing, Data Analytics, Data Semantics, and Ontology. This position is within the Databases research group at the Department of Computer Science and Information Technology in the School of Engineering and Mathematical Sciences, on the Melbourne campus. Melbourne has been named “the most liveable city in the world” five times in a row over the last 5 years.

The Department has a strong research culture and is ranked eighth in Australia on the basis of research publication impact and citations (CWTS Leiden Ranking, Mathematics and Computer Science). The Databases group within the department leads multi-disciplinary research and industry collaborations nationally and internationally.

The Postdoc Fellow is expected to produce high calibre publications, and be able to engage and collaborate in multi-disciplinary research with industry and external partners.   International applicants are encouraged to apply.

Key Selection Criteria

•  A PhD in Computer Science or another relevant discipline.
•  Strong record of research publication, with evidence of quality and impact, relative to opportunity.
•  Experience in the preparation of research proposals submitted to external funding bodies.
•  Demonstrated ability to work collaboratively and productively with research students, and external stakeholders from multi-disciplinary domains.
•  Ability to liaise effectively with a range of collaborators nationally and/or internationally and with industry partners.
•  Demonstrated high level of self-motivation and personal management skills.

Position Supervisor: Prof. Wenny Rahayu
Salary Package: $80,864 p.a. plus 17% superannuation (total $94,611)
Duration: 3 years

Deadline of application: 21 February 2016

To apply, please send a complete CV together with the names and contact information of three referees by e-mail to: W.Rahayu@latrobe.edu.au
Please write subject title: Postdoctoral Fellow in Databases


Professor Wenny Rahayu
Head, School of Engineering and Mathematical Sciences
La Trobe University | Victoria 3086, Australia
T: +61 3 9479 1282 | F: +61 3 9479 3060

PhD Position: A Privacy-by-design Middleware for Urban-scale Mobile Crowdsensing, INRIA, France

PhD Position: A Privacy-by-design Middleware for Urban-scale Mobile Crowdsensing

Location : Inria, Versailles, France
Research domain : Data management, Middleware, Data privacy.
Research teams : INRIA-SMIS and INRIA-MIMOVE teams.

We are offering a 3 years PhD position at INRIA starting in March 2016. The research work will focus on the design of a Privacy-by-design Middleware with data management support. Potential applications and use cases are in urban-scale social sensing and quantified-self contexts. The PhD student will work in the Inria SMIS & MIMOVE team and be part of the CityLab@Inria initiative, which studies ICT solutions toward smart cities that promote both social and environmental sustainability.

More information on the PhD topic on:
https://citylab.inria.fr/phd-position-a-privacy-by-design-middleware-for-urban-scale-mobile-crowdsensing/

Applicants should have a strong background in computer science, good programming skills, and be particularly interested in distributed data management, middleware and data privacy aspects.

The salary amounts is around 2000 Euros gross income per month.

Please send your application including CV, cover letter and recommendations to
Nicolas Anciaux (Nicolas.Anciaux@inria.fr) & Valerie Issarny (Valerie.Issarny@inria.fr).

About INRIA

Inria, the French National Institute for computer science and applied
mathematics, promotes “scientific excellence for technology transfer and
society”. Graduates from the world’s top universities, Inria's 2,700
employees rise to the challenges of digital sciences. 
See: https://www.inria.fr/en

About INRIA-MIMOVE & INRIA-SMIS teams

MIMOVE : MiMove's research has a strong focus on mobile distributed systems and
supporting middleware, with special interest in the aspects of emergence and
evolution, very-large-scale mobile sensing, and mobile social crowd-sensing.
Our research results can have an impact on various application domains; we focus
in particular on the application area of smart cities, due to its growing
social, economic and technological interest.
See http://mimove.inria.fr/

SMIS : SMIS is a core database team which aims to design and validate Secured
and Mobile Information Systems. The research contributions of SMIS focus on data
management techniques for constrained smart objects, access and usage control
models to help individuals to better control the sharing of their data, and
decentralized data management techniques towards privacy-preserving management
of sensitive/personal data.

See http://www-smis.inria.fr/

About INRIA@CityLab

CityLab@Inria studies ICT solutions toward smart cities that promote both social
and environmental sustainability. Toward that goal, the  Lab undertakes a
multi-disciplinary research program through the integration of relevant
scientific and technology studies, from sensing up to analytics and advanced
applications, so as to actually enact the foreseen smart city Systems of Systems
while fostering citizen participation.
For more information see: https://citylab.inria.fr/

PhD Positions with Full Scholarships in Computational Social Science / Big Data, Dalian Univ of Tech, China

Deadline for application: 19 Feb 2016.

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

We are opening 2 PhD student positions in social computing (including e.g. computational social science, data analytics, big scholarly data, social network analysis, etc). All positions will be coupled to full Chinese Government Scholarships. Basic living allowance will be 3,500 RMB/month, plus Comprehensive Medical Insurance and Benefit. The scholarships are exempt from registration fee, tuition, and fee for basic learning materials. Accommodation on campus will be provided for free. The University will offer excellent working conditions.

Supervisor: Professor Feng XIA
Working location: Dalian University of Technology  Dalian, China
Starting date: September 2016
PhD duration: 4 years

Qualifications

1.  Applicants shall have a master's degree in related discipline.
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

Before submitting the full application (to the University), each potential applicant should first send an initial application via email to Dr. Feng Xia (f.xia@ieee.org). The application should include a detailed CV (including email addresses of two referees, detailed contact information, etc), and at least two best scientific documents/publications written by yourself (in English). The deadline for applications is 19 Feb 2016. Only a few candidates will be shortlisted for full application. Interested applicants are highly encouraged to submit their applications as soon as possible. We will not accept applications once the positions are fulfilled.

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

Feng XIA , PhD, Professor, SMIEEE, SMACM
Director, Mobile and Social Computing Laboratory (http://msclab.org)
Head, Department of Network Engineering
Assistant Dean, 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