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/

 

 
 
 

PhD position in Networks, Simula Research Laboratory AS

Deadline:2016-03-15

About Simula

Simula Research Laboratory AS is a publicly owned research institute located outside Oslo, Norway. We are a multi-cultural organization, employing about 150 individuals from 30 countries. Simula conducts ICT research in the fields of communication technology, scientific computing and software engineering, with the main objective of generating new understanding and creating vital knowledge about fundamental scientific challenges that are of genuine value to society. This is achieved through high quality research, education of graduate students, industry collaboration, technology transfer and commercialization.

Project Description

Centre for Resilient Networks and Applications (CRNA) at Simula focuses on robustness and security of ICT infrastructures. This implies research on networks and applications with the aim of making them resilient with respect to failures and changing environment. The Networks department works on resilience in communication networks and applications from a measurement perspective, through prototyping and through theoretical studies.

We are looking for a PhD student to join our team of senior and junior researchers in the Networks department of the CRNA. The successful candidate will be part of a national project called DOMINOS that aims to investigate, monitor, and improve the resiliency and robustness of the Internet infrastructure in particular and communication networks in general. The project also intends to explore interdependencies between communication networks and other infrastructures like the power grid. We will follow an empirical measurement-driven approach that involves using existing publicly available data sets as well as designing novel measurement tools and techniques.

Responsibilities

The successful candidate is expected to:

• Investigate the resiliency of and the interdependencies in the global routing system
• Contribute to devising inference schemes to identify interdependencies between networks
• Collaborate with the project manager and external collaborators on building a framework for assessing and improving network observability
• Supervise and cooperate with master students

The duration of doctoral fellowship will be 3 years, starting as soon as possible. All PhD students at Simula will be enrolled as PhD students at the University of Oslo Mathematics and Natural Sceince Faculty.
Your Profile
Interested applicants should:

• Hold a Master degree in Computer Science, Electrical Engineering, network science or related fields
• Have a solid background in computer networks
• Basic knowledge of statistics and machine learning is a plus
• Demonstrate excellent level of spoken and written English
•  Be able to start as soon as possible and no later than May 15th
• Possess good interpersonal skills and show willingness to work as part of an international team

Simula Offers

• Excellent opportunities for doing high quality research, as part of a highly competent and motivated team of international researchers.
• Nice office facilities located close to the Oslo fjord and 10 minutes drive from the centre of Oslo, the capital of Norway.
• An informal and including working environment.
• Professional courses and workshops led by international experts on topics such as Communication of Scientific Research, Innovation and Entrepreneurship, and Writing Effective Research Proposals.
• A competitive salary.

Simula strives to achieve a good balance between male and female employees, and women are
particularly encouraged to apply.

Application Requirements

Candidates MUST send their application via the link at the bottom of this page.
Applications sent by e­mail will not be examined.
The application MUST include:

• Curriculum vitae (summarizing education, positions and academic work - scientific publications)
• Master thesis, or abstract of thesis if the thesis itself is unavailable/unfinished
• Cover letter explaining the candidate's background, qualifications and research interests
• Copies of educational certificates, and transcript of records
• Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number).

The application deadline is as soon as possible, but no later than the 15th of March 2016.
Note that all attachments MUST be submitted in PDF format, and with the exception of the CV and the Master thesis, combined into one single PDF-document in the order specified by the list above. To avoid misplacement, please make sure to include your first and last name in the filenames of all documents that you send us.

We are interested in how you first came to learn about this position ­ please let us know in your cover letter.

Applications will be reviewed on a rolling basis until the position is filled.

Contact

For more information, please contact Dr. Ahmed Elmokashfi (ahmed@simula.no, +4747452315).

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 on deep learning and constraint reasoning, France

PhD subject: Deep learning methods coupled with constraint-based reasoning for object recognition in remote sensing data Application to the detection of the Babacu palm tree in Amazonia

Supervisor
Carmen Gervet (Université de Montpellier)
Co-supervisors
Morgan Mangeas (IRD), Samira El-Yacoubi (Université de Perpignan)
Contact
Carmen Gervet carmen.gervet@umontpellier.fr

TOPIC. The most common approaches for object identification within satellite images are based on a pixel analysis, or image segmentation techniques, using expert information or GIS. Machine learning techniques have been successfully  used when the images are enriched with GIS (Huang et al., 1997).

This thesis considers a novel approach based on convolutional neural networks, enriched with structuring methods such as ontologies and constraints generation. Convolutional neural networks have brought a spark in the learning power of neural networks in the past five years, as a deep learning method for efficient classification using a substantial volume of data (1 million of images for thousand classes) (Krizhevsky et al., 2012). Their usage for remote sensing data seems obvious, even though novel to this date. In a context of remote sensing, the images are complex because they are produced by more and more refined spatial and spectral resolutions, and obtained using many complementary sensors.


This thesis has two main objectives:

•    To generate a set-based constraint model that will allow to reduce the search space to be explored (Gervet et Van Hentenryck, 2006). The resulting model will be used to adapt the core architecture of convolutional networks in order to take into account the specific constraints relative to satellite imaging: (i) multiple resolutions (spatial, spectral and temporal), (ii) multiple types of sensors (radar, lidar, optical), (iii) radiometric noises, (iv) high heterogeneity of the observed environment, (v) handling of shadows, clouds, reliefs. A particular attention will be given to the pre-processing that can improve the recognition and the concepts of sensitivity to noise within image used and the robustness of the convergence corresponding to the learning process.

•    To better understand the results by analyzing the mathematical and statistical properties of the parameters found. To do so, ontological models using set constraints will be developed to structure and try to explain the learning process. The idea is to enter the black box of the convolutional network, by seeking to extract its structure and the connections reached, once the learning process completed.
This work will benefit from numerous data, from different projects within the research centre ESPACE- DEV (Maison de la télédétection in Montpellier), applied to different fields such as evolution of land usage and monitoring of land degradation, or the detection of the palm trees in Brazil. A result of digitalization made by human experts can be used as learning basis. Finally, the developed algorithms will be implemented in an automatic processing chain (based on OTB and Python) in order to make available cartography from environmental areas through

Postdoctoral Fellow in Computer Networking and Internet Technologies, Simula Research Laboratory

Call for Postdoctoral Fellow in Computer Networking and Internet Technologies

Apply Before:

08 March 2016

About Simula

Simula Research Laboratory AS is a publicly owned research institute located outside Oslo, Norway. We are a multi-cultural organization, employing about 150 individuals from 30 countries. Simula conducts ICT research in the fields of communication technology, scientific computing and software engineering, with the main objective of generating new understanding and creating vital knowledge about fundamental scientific challenges that are of genuine value to society. This is achieved through high quality research, education of graduate students, industry collaboration, technology transfer and commercialization. Simula actively supports, and creates the conditions necessary for the instituting of businesses based on the research it conducts.

Project Description

The Media Department of the Centre for Resilient Networks and Applications (CRNA) at Simula Research Laboratory has an opening for one full-time Postdoctoral Research Fellow, in the field of Computer Networking and Internet Technologies. The position is available for two years, starting from April 1st, 2016.

The Postdoctoral Research Fellow will closely interact with the CRNA teams working on low-latency networking for Internet applications, and on mobile broadband networks. The official working language in the Centre, and at Simula, is English.

This position is connected to the EU-funded research project NEAT (A New, Evolutive API and Transport Layer for the Internet), which started in March 1st, 2015. The NEAT project, coordinated by Simula, is carried out by a consortium of top industry players (Celerway, Cisco, EMC, Mozilla) and academic centres (Fachhochschule Münster, Karlstad University, University of Aberdeen, University of Oslo).

Research in the NEAT project tackles the problem of the ossification of the Internet protocol stack. The long-term goal of NEAT is to bring an architectural change to the Internet, by redesigning the way in which Internet applications interact with the network. This will be achieved by allowing network services offered to applications  such as reliability, low-delay communication or security  to be dynamically tailored on a best-effort basis, considering application demands, current network conditions, hardware capabilities or local policies; also, by supporting the integration of new network functionality in an evolutionary fashion, without applications having to be rewritten.

Responsibilities

The Postdoctoral Research Fellow will be part of a project team that works on designing, developing and testing novel transport-layer systems and mechanisms, as well as service-oriented APIs for Internet applications.The project also contributes to standardisation efforts such as the TAPS working group of the IETF. Research activities will be done in close collaboration with project partners, and will require a practical, hands-on approach to build real-world prototypes.
As a Post-doctoral fellow, the candidate is expected to collaborate with PhD students, and to supervise and collaborate with Master students. We provide the opportunity, as well as support, to apply for research funding or commercialisation funding, which could help establish follow-up projects. There are no requirements for teaching duties.

Your Profile

We are looking for outstanding candidates with:

• A PhD degree (or very near completion of their PhD) on Computer Science or a related discipline.
• A strong track record of scientific publications.
• Extensive knowledge of data communication technologies. In particular, in-depth knowledge of Internet transport protocols and standards is mandatory.
• Strong programming skills and proven experience with network programming. Kernel programming skills will be highly regarded. The main platform of development will be Linux, but knowledge of other operating systems, e.g., FreeBSD, is also beneficial.
• The ability to both collaborate closely with others, and work independently on challenging problems.
• Excellent communication skills in English, both written and verbal, due to the international and distributed nature of the project.

Simula Offers

• Excellent opportunities for doing high-quality research, as part of a highly competent and motivated team of international researchers.
• Competitive salaries.
• Generous support for travels and equipment.
• Good office facilities located close to the Oslo fjord and a 10-minute drive from the   centre of Oslo.
• Professional courses and workshops led by international experts on topics such as  Communication of Scientific Research, Innovation and Entrepreneurship, and Writing Effective Research Proposals.

Simula strives to achieve a good balance between male and female employees, and women are particularly encouraged to apply. Also, Simula maintains an open, international and diverse work environment, and seeks applications from outstanding scientists regardless of their national origin or citizenship.

Application Requirements

Candidates MUST send their application via: https://www.simula.no/jobs

Applications sent by e-mail will not be examined.

The application MUST include: 

• A Curriculum vitae, with full contact information, education, positions and academic work (including a full list of scientific publications).
• An application letter explaining the candidate's background (including a summary of the PhD thesis), qualifications and research interests.
• A list of relevant publications and academic work that the applicant wishes to be considered by the evaluation committee.
• Copies of relevant diplomas / degree certificates, transcripts of records and letters of recommendation.
•  Contact information of 2-3 reference persons (name, current position, relation to the candidate, phone and e-mail).
• For non-native English speakers, a proof of proficiency in English is optional but recommended (e.g. results from standard tests; having completed a university degree in an English-speaking country counts as proof of proficiency).

Note that ALL documents MUST be submitted in PDF format, and with the exception of the CV, combined into one single PDF-document in the same order specified by the list above. To avoid misplacement, please make sure to include your first and last name in the filenames of all documents that you send us.

We are interested in how you first came to learn about this position - please let us know in your cover letter.

Applications should be submitted as soon as possible, and no later than March 8, 2016. Applications will be reviewed on a rolling basis until the position is filled.

Contact

For more information, please contact David Ros by e-mail: dros@simula.no

Apply Online

Two PhD Fellowships in Magmatic-Hydrothermal Ore formation, ETH Zürich

Research and studies at ETH’s Department of Earth Sciences works towards a deeper understanding of all domains of our home planet, from the inner Earth to the continents, oceans, biosphere and atmosphere. The Fluids and Ore Deposits Group led by Prof. Christoph Heinrich studies the processes determining the origin and distribution of resources in the earth's crust. Join this group as soon as possible with

Two PhD Fellowships in Magmatic-Hydrothermal Ore formation

ETH Zurich’s Fluids and Mineral Deposits Group is expecting support from the Swiss National Science Foundation for two 3-year PhD positions. One of the projects will re-assess the vein and alteration sequence in several porphyry copper deposits, combined with microanalytical studies of fluid inclusions, stable isotope compositions of minerals, and quantitative numerical modeling of fluid processes and mineral precipitation in cooperation with a recently appointed postdoctoral researcher. The second project will investigate the hydrothermal history of linked porphyry-type and high-sulfidation epithermal copper ores of Bor in Serbia, to clarify the current debate about magmatic vapor transport in subvolcanic ore systems, in collaboration with local geoscientists and ETH’s volcanology group.

Essential requirement for selection is a top-quality MSc or equivalent 4-5 year degree in geological sciences and a good university background in quantitative science (maths, physics, chemistry). For both projects, a keen interest in geological field observation and careful petrographic study is essential. We expect that you want to learn combining observation with advanced analytical methods in the lab and/or acquire rigorous skills in quantitative computer modeling as part of your research project.

For further information about the positions, please contact Prof. Dr. Christoph A. Heinrich by e-mail: heinrich@erdw.ethz.ch, with c/c to the co-leaders thomas.driesner@erdw.ethz.ch and albrecht.vonquadt@erdw.ethz.ch (no applications). Visit our website http://www.orefluids.ethz.ch for background information about past publications and our current research.

Applications with a full CV including transcripts, and a personal motivation letter describing your expectations should be sent online (press button below) to: ETH Zurich, Ms. Maja Bügler, Human Resources, 8092 Zurich. Evaluation will start 25. February and continue until the positions are filled.

Apply now

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).