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