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

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/

 

 
 
 

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!

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 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).

Postdoctoral position : developing compiler, run-time, and language support for emerging heterogeneous multicore architectures

Position One

A postdoctoral position is available in the Popcorn Linux project that involves developing compiler, run-time, and language support for emerging heterogeneous multicore architectures, in particular those with heterogeneous instruction sets (e.g., Xeon/Xeon-Phi, ARM/x86), from node-scale to rack-scale. The project aims to develop systems software for such platforms and scales, including OS, compiler, run-time, and language support, with high performance, energy efficiency, and programmability (e.g., hardware-agnostic programming). The position involves developing techniques and mechanisms, and contributing to open-source (e.g., LLVM, GCC) and experimental projects (e.g., Popcorn Linux).

Recent computer science or computer engineering PhD graduates with background in compilers, run-times, programming languages, and virtualization are sought. Strong system building skills are necessary. The position is for two-year minimum, with strong possibilities for additional years, and have no teaching obligations. Contact Prof. Binoy Ravindran with a CV or for any questions.

Position Two

A postdoctoral position is available in the in the Popcorn Linux project that involves developing innovative operating system architectures for emerging multicore platforms, in particular those with heterogeneous instruction sets, from node-scale (e.g., Xeon/Xeon-Phi, ARM/x86, CPU/GPU) to rack-scale (e.g., Scale-out processors, Firebox, The Machine). The project aims to develop scalable, energy-efficient, fault-tolerant, and secure OS architectures for such platforms and scales, concomitant OS components (e.g., pager, scheduler, VFS, network stack), and contributing to open-source (e.g., Linux) and experimental projects (e.g., Popcorn Linux).

Recent computer science or computer engineering PhD graduates with background in operating systems, virtualization, dependability, and distributed systems are sought. Proven programming expertise with the Linux kernel is required. The position is for two-year minimum, with strong possibilities for additional years, and have no teaching obligations. Contact Prof. Binoy Ravindran with a CV or for any questions. 

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

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

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

Post-Doctoral Researcher Positions Division of Health Informatics Department of Healthcare Policy & Research Weill Cornell Medicine, Cornell University, New York

Post-Doctoral Researcher Positions

Division of Health Informatics

Department of Healthcare Policy & Research

Weill Cornell Medicine, Cornell University

New York City, New York

http://hpr.weill.cornell.edu/about_us/job_openings.html

The Division of Health Informatics in the Department of Healthcare Policy & Research at Weill Cornell Medical College is inviting applications for 3-4 post-doctoral researcher positions. Specific areas of research and development interests for the positions include, but not limited to:

1. Phenotyping from electronic health records
2. Data mining from electronic health records
3. Biomedical ontologies and terminology standards

The successful applicant will have a Ph.D., M.D./Ph.D., or equivalent in biomedical informatics, computer science, health information technology, or a related field. Applicant will have a record of significant research accomplishments as evidenced by work experience and publications in top-tier journals and conferences in informatics and computer sciences. Strong working experience with electronic health records, and programming with Java, Python, R, and/or SAS is required. Additionally, working knowledge of big data technologies and tools (e.g., Apache Hadoop, Apache Spark) is highly desirable. Strong curriculum and experience with electronic health records, biomedical ontologies, text mining, and biomedical data mining/machine learning will be an added advantage. The successful candidate will also have a track record of interdisciplinary work, and excellent oral and written communication skills.

Weill Cornell Medicine and the Department of Healthcare Policy & Research are committed to the principles of Equal Employment Opportunity and Affirmative Action. We ensure all employment activities are conducted in a fair and equal fashion, without regard to race, creed, religion, color, national origin, sex, age, sexual orientation, predisposing genetic characteristics, marital status, status as a domestic violence victim, individual with a disability, citizenship, protected veteran, or other characteristic as protected by law.

Interested applicants should submit a letter of interest highlighting their research interests and career goals in health informatics, and a curriculum vita to:

Jyotishman Pathak, Ph.D.
Chief, Division of Health Informatics
Department of Healthcare Policy & Research
Weill Cornell Medicine, Cornell University
425 East 61st Street, Suite 300
New York, NY 10065
pathak@med.cornell.edu

Postdoctoral Position on Infant Brain Segmentation, Registration and Atlas Construction, IDEA Lab USA

Several postdoctoral positions are available in IDEA lab (http://bric.unc.edu/ideagroup), UNC-Chapel Hill, NC.

Segmentation: The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on image feature learning and segmentation. Experience on medical image segmentation using deformable surface, level sets, and graph cut is highly desirable. People with machine learning background on image features and shape statistics are particularly encouraged to apply. Strong knowledge on programming (good command of LINUX, C and C++, scripting, and Matlab) is desirable. The research topic will be the development and validation of segmentation methods for infant brain segmentation and surface reconstruction.

Registration: The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on feature learning and correspondence detection. Experience on medical image registration is highly desirable. People with experience on pairwise, group-wise and/or 4D registration are particularly encouraged to apply. Knowledge on brain development and also strong background on programming (good command of LINUX, C and C++, scripting, and Matlab) are desirable. The research topic will be the development and validation of 3D, 4D, and group-wise image registration methods for early brain development study.

Atlas Construction: Candidates with experience on patch-based sparse representation are encouraged to apply. The research topic will be the development of atlas construction methods for infant brain images.

The successful candidates will be part of a diverse group including radiologists, psychologists, physicists, biostatistician, and computer scientists, and will build upon the group's previous work on medical image analysis. If interested, please email resume to Dr. Dinggang Shen (dgshen@med.unc.edu).

Postdoctoral Position on Medical Image Indexing, IDEA Lab, USA

One postdoctoral position is available in IDEA lab (http://bric.unc.edu/ideagroup), UNC-Chapel Hill, NC.

Image Indexing: The successful candidate should have a strong background on Biomedical Engineering, Electronic Engineering, Computer Science, or relatedly majors, preferably with emphasis on image processing and analysis. Experience on image indexing and retrieval is highly desirable. People with machine learning background on image features and image similarity measurement are particularly encouraged to apply. Strong knowledge on programming (good command of LINUX, C/C++, Python, Matlab, etc.) is desirable. The research topic will be the development and validation of image indexing methods for medical applications.


The successful candidates will be part of a diverse group including radiologists, psychologists, physicists, biostatistician, and computer scientists, and will build upon the group’s previous work on medical image analysis. If interested, please email resume to Dr. Dinggang Shen (dgshen@med.unc.edu).

Postdoctoral Position on Imaging Genomics, IDEA lab

One postdoctoral position is available in IDEA lab (https://www.med.unc.edu/bric/ideagroup), UNC-Chapel Hill, NC.

Imaging Genomics: The successful candidate should have a strong background on Biomedical Engineering, Electronic Engineering, Computer Science, or relatedly majors, preferably with emphasis on neuroimaging analysis and genomics. Experience on brain disease diagnosis is highly desirable. People with machine learning background on feature representation and regression are particularly encouraged to apply. Strong knowledge on programming (good command of LINUX, C/C++, Python, Matlab, etc.) is desirable. The research topic will be the development and validation of innovative methods for imaging genomics.

The successful candidates will be part of a diverse group including radiologists, psychologists, physicists, biostatistician, and computer scientists, and will build upon the group’s previous work on medical image analysis. If interested, please email resume to Dr. Dinggang Shen (dgshen@med.unc.edu). 

Deadline : 31-Dec-2016

Postdoctoral position : Camera Localization with large scale semantic object signatures, French Mapping Agency (IGN), France

MATIS laboratory  French Mapping Agency (IGN), France

Camera Localization with large scale semantic object signatures

CBIR, computer vision, feature extraction, visual landmarks, image based localization, scalability.

Context

This Postdoctoral position takes place within the scope of a large-scale European Project: Things2Do (call KET-ENIAC 2013-2). This project aims at building a design and development ecosystem to support the deployment of a new semiconductor technology: FDSOI. This technology allows to build computer chips with smaller transistor size and lower power consumption, enabling more powerful yet energy efficient wearable smart devices.

The French Mapping Agency (IGN) contributes to this project through two of its five research laboratory (MATIS and LOEMI labs) by developing a wearable demonstrator running on FDSOI, designed for image-based localization.

Wearable localization system like smartphones usually make use of GPS or radio signal to find a position that may not be very accurate in urban environment because of noise or signal masking. This project aims at providing an accurate positioning solution exploiting the image stream from a wearable device camera (smart glasses) matched against a precisely geolocalized large scale image database, acquired using a mobile mapping vehicle called Stereopolis and developed in the MATIS laboratory [3].

The images acquired by the wearable system can be registered by first matching visual relevant features between both data sets using a CBIR approach, and second by integrating these matches into a bundle adjustment process. The MATIS already has some experience and tools on the matching of visual landmarks (e.g. road markings and road signs) and on bundle adjustment for robust registration and reconstruction of 3D visual landmarks from multiple view imagery with sub-decimeter absolute accuracy [1] [2].



This postdoc position will focus on the CBIR part of the process. He (she) will follow previous research works aiming to create a geo localization system based on semantic analysis of an image and comparison with a geolocalized object dataset.
Starting from a preliminary approach based on the indexing of the signatures of already detected semantic objects (visual landmarks or others) within a large scale geolocalized object dataset, this postdoc will focus on:

• the study and improvement of the descriptors which produce visual object signatures dedicated to image localization,
• the study and structuring of the signatures to perform fast retrieval in a large dataset through the distributed computing infrastructure available in the project,
• the management of several experiments to evaluate the proposal in realistic conditions, e.g. evaluating the impact of signature degradation (partial signature, false detections…), evaluating the relative importance of landmark categories used for pose estimation, assessment of the impact of landmark density per square kilometer in the dataset, etc.

The system will be used on a mobile and wearable image based localization system associated with a distributed computing infrastructure (“cloud”), but may also be used directly on the mobile device with a smaller dataset. With the support of a team of researchers involved in the project, this postdoc will be assisted by an engineer whose missions concern the development of visual landmark detection tools and the interaction with the distributed computing infrastructure.

About MATIS Laboratory

The MATIS laboratory of the IGN (French national mapping agency - Ministry of Ecology, Sustainable Development and Energy), is one of the leading laboratories in photogrammetric computer vision, image analysis and remote sensing applied to geospatial imagery and ground-based imagery (e.g., provided by mobile mapping systems). It is composed of 30 researchers, including 19 permanent researchers. The MATIS laboratory has been involved in 3D data collection for 3D city modeling for twenty years, and makes use of several distinct methods that have been developed during this period. For more information about the MATIS please visit our website.

Required Profile

The candidate should have a PhD degree in CBIR, computer vision or photogrammetry, with experiences and interest in image management at large scale.

• Good knowledge of programming language (C++) is mandatory.
• Prior knowledge and experience in the fields of pose estimation will be a plus.
• Good spoken and written English. Knowledge of French would be useful.

Location: MATIS laboratory of the IGN, Saint­-Mandé, Paris, France (metro Saint-Mande, line 1).
Salary: around 2200 € per month (net income), according to experience. The position is a salaried employment with the right to social benefits and paid vacations.
Duration: 21 months, to start at the end of March 2016.

Application procedure

Send by email in a single pdf file to the contacts:

• a cover letter describing how your research experience is relevant to the position and how you could contribute to the suject,
• recommendation letters or names of 2 referees,
• a resume (including a summary of the thesis and a full list of publications).

Contacts

­David Vandergucht
ValÃrie Gouet ­Brunet
Bahman Soheilian

Phone: 00 33 1 43 98 80 00 + 7566 Email: david.vandergucht(at)ign.fr
Phone: 00 33 1 43 98 62 10 E­mail: valerie.gouet(at)ign.fr
Phone: 00 33 1 43 98 84 29 Email: bahman.soheilian(at)ign.fr

Deadline: February 19th, 2016