Two postdoctoral researcher positions are available immediately at Lero - The Irish Software Research Centre

Post Doctoral Researcher/Research Fellow (Lero, University of Limerick, Ireland)

Salary: Post Doctoral Researcher: €37,750 - €46,255 p.a.
Research Fellow: €51,716 – €56,442 p.a.

Application deadline: 12 noon (Irish Standard Time), 21st January 2016.

Two postdoctoral researcher positions (12-18 months duration) are available immediately at Lero - The Irish Software Research Centre (www.lero.ie), at the University of Limerick (www.ul.ie), to work on a European Research Council (ERC) project on Adaptive Security and Privacy (www.asap-project.eu).

The research work lies at the intersection of three areas - software engineering, security & privacy, and adaptive/ubiquitous systems - and skills or experience in at least two of them is highly desirable.

The successful applicants will have an opportunity to shape their own research agenda within the overall project's scope, working independently but also collaboratively with other colleagues at Lero.

Further information for applicants and application material is available online from: http://www.ul.ie/hrvacancies/

The closing date for receipt of applications is Thursday, 21st January 2016.

Applications must be completed online before 12 noon, Irish Standard Time on the closing date.

Please note your application must include:

1) A letter of introduction indicating how you meet the criteria outlined in the Job description, and describing your research skills and experience.

2) A completed online Application Form Please email erecruitment@ul.ie if you experience any difficulties with the online application process.

Candidates are encouraged to contact Professor Bashar Nuseibeh by email at Bashar.Nuseibeh@lero.ie to discuss the positions. Please include a CV in your email.

Two Master internship positions are available with Prof. Yanlei Diao at Ecole Polytechnique, France

Prof. Diao's research interest is in database systems and big data analytics. 

For more details, see the website:
(http://www.lix.polytechnique.fr/~yanlei.diao/)

Ecole Polytechnique is a French public institution of higher education and research, located in Palaiseau 45 minutes southwest of Paris. It is considered the most prestigious engineering school in France, with well-known educational programs in  science and engineering. Among its alumni are three Nobel prize winners, one Fields Medalist, three Presidents of France, and  many CEOs of French and international companies.

The Database Group is seeking candidates for Master internship positions with an interest to continue to pursue a PhD. The internship topics include:

Interactive Data Exploration at Scale
http://www.lix.polytechnique.fr/~yanlei.diao/docs/M2-DataExplore-2016.pdf

 
Developing a “Big Data Model
http://www.lix.polytechnique.fr/~yanlei.diao/docs/M2-BigDataModel-2016.pdf 

If you are interested in one of these positions, please contact Prof. Diao by email with a CV and additional documents (if specified in the pdf). Priority will be given to candidates who apply by January 31, 2016.  

Two Postdoctoral researcher positions are available with Prof. Yanlei Diao at Ecole Polytechnique, France

Prof. Diao's research interest is in database systems and big data analytics. 

For more details, see the website:
(http://www.lix.polytechnique.fr/~yanlei.diao/)

Ecole Polytechnique is a French public institution of higher education and research, located in Palaiseau 45 minutes southwest of Paris. It is considered the most prestigious engineering school in France, with well-known educational programs in  science and engineering. Among its alumni are three Nobel prize winners, one Fields Medalist, three Presidents of France, and  many CEOs of French and international companies.



The Database and Big Data Research Group at Ecole Polytechnique is seeking postdoctoral fellows to work on two projects in big data, described below. The appointment would be for one year, with the possibility of extension to two years.  Postdoctoral fellows will find an active and collaborative research environment with world-renowned researchers in database systems, database theory, statistics and machine learning. 

http://www.lix.polytechnique.fr/~yanlei.diao/docs/Postdoc-BigData-2016.pdf

If you are interested in one of these positions, please contact Prof. Diao by email with a CV and additional documents (if specified in the pdf). Priority will be given to candidates who apply by January 31, 2016.  

PostDoc in Large-scale Data Analytics at Imperial College

We are looking for aspiring researchers who are interested in pursuing a PostDoc in the broad area of data analytics.

Our group focuses on data analytics and high impact interdisciplinary research, i.e., developing ground breaking and novel data management techniques strongly motivated and used in other disciplines.

The background of successful candidates must overlap significantly with the following areas:

•  data management 
•  data analytics/unsupervised learning 
•  large-scale data analytics 
•  massively parallel algorithms and computation (ideally experience with MPI and supercomputing) 

Responsibilities of the position include:

•  perform research on massively parallel data analytics 
•  work with Ph.D. students, help directing their research and help in disseminating results 
•  support teaching efforts 
•  support the acquisition of new research and industrial projects 

You must have excellent communication skills and prioritise work to meet deadlines. Excellent command of English, oral and written, is mandatory. Please note that only candidates with publications in the relevant areas are considered - others need not apply.

How to apply: please send the application to t.heinis@imperial.ac.uk

Applications must include the following:

•  a full CV 
•  publication list 
•  a research statement 
•  contact information for at least 2 references who have agreed to speak about you, your work, and your potential 

Starting date: Ideally April 2016 but later dates are also possible.

Salary range: £33,410 to £42,380 per annum (depending on experience)

About Imperial: Imperial College is a first class address to pursue excellent, high impact research. Imperial College consistently ranks among the top 5 schools in the world (Times Higher Education & QS rankings). The Department of Computing is also a leading department of Computer Science among UK Universities. It has consistently been awarded the highest research rating (5*) in Research Assessment Exercises (RAE), coming 2nd in the 2008 RAE, and was rated as Excellent in the previous national assessment on teaching quality

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

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

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

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

Scientific Context

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

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

Requirements:

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

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

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

Applications in digital form (pdf) should be sent to: hameurlain@irit.fr Application Deadline: February 8th, 2016 Start Date: September 1st, 2016.

Remuneration: the PhD Scholarship is approximatively 1684 Euros (Gross).

Once the candidate is selected by Pyramid team, he/she will be auditioned by a committee.

PhD Scholarship Available in Sensor Cloud, Cloud and Services Computing, SCSLab

The scholarship is valued at up to $25,000 per annum for three years. 

International candidates may be eligible for a tuition waiver.

Number of scholarships available: There is one scholarship available.

Eligibility 

To be eligible for these scholarships you must: have an undergraduate or a masters degree in the area of Computer Science or related discipline, with outstanding grades meet RMIT’s PhD entry requirements show evidence of research ability — e.g. an honours degree, a minor thesis, some publication, or a well-developed preliminary research proposal, developed under the guidance of the supervisor have an interest in cross-disciplinary research and ability to work in a team.

How to apply
Find out how to submit your application.

With approval from the project supervisor, you will need to submit your PhD application to RMIT University.

Close date Applications close Sunday 31 January 2016.

Supervisor Professor Athman Bouguettaya

In addition to RMIT’s PhD entry requirements, candidates should have background in a Computer Science or a related discipline. Apart from the PhD scholarship, a top-up scholarship may be considered for a strong candidate.

Contact For further information about these scholarships and projects, email Dr. Hai Dong, hai.dong@rmit.edu.au.

PhD position TU Berlin, Open Distributed Systems, Prof. Manfred Hauswirth

PhD position TU Berlin, Open Distributed Systems, Prof. Manfred Hauswirth 

Salary grade: E13 TV-L Berliner Hochschulen Max. 4 years, part-time employment may be possible

Working field:

The extension of the Internet into the physical world (Internet of Things) requires a combination of many research areas like Web technologies, distributed systems, database systems, networking, sensor networks, Semantic Web, Linked Data, etc. This synergy facilitates the interconnectivity and interoperability of the Things on the Web. The goal is to enable simple access to data irrespective of their source (sensors, embedded systems, Web, Semantic Web, Linked Data, social media, e.g., Twitter, etc.), scalable management of this data using a single access abstraction, and a single data model. This will enable simple standardized ways to derive useful insights from the dynamic linked data. However, the sheer size, dynamics, and heterogeneity of the data in the IoT realm poses novel and unique challenges, which we investigate in Open Distributed Systems group at TU Berlin. Currently we are looking for a PhD researcher. A successful candidate will conduct her/his independent research in one of these areas and will play an active role in teaching and supervising of students.

Requirements:

As a successful candidate you should hold a university degree (Master, Diplom or equivalent) in computer science, applied mathematics, statistics or similar, with outstanding results.
Knowledge in several of the following areas:

- advanced distributed database systems,
- stream data management,
- machine learning,
- decision support systems,
- modeling and analysis of Big Data.
- Semantic Web,
- Linked Data and data integration.
- very good programming skills (C/C++, Java, Python).

Interest in challenging scientific problems and the motivation for independent and goal-oriented research and a good level of written and spoken English are required. German is an asset.

How to apply:

Please send your application with appropriate documents (cover letter, an academic curriculum vitae, and the names of two references) preferably by E-Mail to heike.fischer@tu-berlin.de quoting the reference number and "PhD Position Application" in the subject of the mail, or in writing to Technische Universität Berlin - Der Präsident - Fakultät IV, Institut für Telekommunikationssysteme, Open Distributed Systems, Prof. Dr. Hauswirth, Sekr. TEL 4-1, Ernst-Reuter-Platz 7, 10587 Berlin.

To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. International applicants are welcome. Please send copies only. Original documents will not be returned.