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PhD Candidate for SmartHome project-Efficient Mining of Data Streams, Luxembourg

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The University of Luxembourg seeks to hire outstanding student at its Interdisciplinary Centre for Security, Reliability and Trust (SnT), in the SERVAL team ( http://wwwfr.uni.lu/snt/research/serval ) under Prof. Yves Le Traon. SnT is a recently formed centre carrying out interdisciplinary research in secure, reliable and trustworthy ICT (Information and Communication Technologies) systems and services, often in collaboration with industrial, governmental or international partners. SnT is active in several international research projects funded by the EU H2020 and the European Space Agency. For further information you may check: www.securityandtrust.lu .

  • PhD Candidate for SmartHome project – Efficient Mining of Data Streams (M/F)
  • Ref: I2R-DIR-PIC-09SECO
  • Fixed Term Employment 3 years (CDD), full-time (40 hrs/week) extendable up to 4 years
  • Number of positions: 1

Your Role

Project Motivations
In today's modern computing era, all services and user activities produce data that is collected and stored away in corporate servers. The analysis of the overall huge amounts of data available to infer relevant information is known as the big data problem. Generally, data are about user habits over time or user behavior at a given period time, and can be leveraged to improve existing services or to target new products. In the context of the smart home challenges, we plan to analyze data that is about the user but also data about the smart home itself.

We further plan to extract and externalize some data from a home to aggregate with data of other homes in order to perform some analysis at a higher and larger scale. For example, energy data can be external to draw general patterns of energy consumption in a neighborhood. This will lead to the convergence between smart home and smart grid, allowing the grid operator to leverage the patterns for anticipating consumption and make load-balancing plans.

Partners
The SmartHome project is developed in collaboration with POST Luxembourg (http://www.pt.lu/portal/lang/en/Entreprise). Several steps of the project will benefit from the participation of POSTs so-called “friendly users” for real trials. This will allow validation of chosen solutions and fine-tuning of data mining collections. In addition, by the end of the project, people (end-users, customers) will be able to build their own personalized solution, by subscribing to and installing only the services they need.

Your Role
The PhD student position is offered within the SmartHome project. The PhD candidate will contribute to new algorithms, techniques and models for overcoming ubiquitous computing challenges and effectively leveraging ambient intelligence. In priority, the candidate will contribute to the following aspects of the project:

  • Exploitation of, and extraction from, heterogeneous information sources, including learning of user profiles and activity data
  • Data mining to identify event patterns, environments, and/or user behaviors
  • Data integration for enforcing the security, privacy and anonymity of data wherever and whenever that is necessary
  • Implementation of semantic interoperability

 
Steps will be taken to safeguard user privacy. Thus, only specific and anonymized data should be externalized outside the smart home. A user may also configure his systems to waive privacy objections to his data through a configuration.

For inquiries please contact: Prof. Yves Le Traon Yves.LeTraon@uni.lu , Dr. François Fouquet francois.fouquet@uni.lu

Your Profile

The realization of the objectives of the project will imply overcoming major scientific research and engineering challenges of an interdisciplinary nature. The position currently available is related to DATA MINING aspects for the smart homes.

The ideal candidate has

  • Master in Computer Sciences, and competences in data mining, data management and knowledge representation.
  • Basic knowledge in home automation technologies, networks, protocols and electronic will be considered as an advantage
  • Fluent written and verbal communication skills in English are mandatory and so commitment, team working and critical mind.

We offer

The university offers a three years employment with highly competitive salaries. The university is also an equal opportunity employer. You will work in an exciting international environment and will have the opportunity to participate in the development of a newly created research centre.

Further Information

Applications, written in English should be submitted online and should include:

  • Curriculum Vitae (including your contact address, work experience, publications)
  • Cover letter indicating the research area of interest and your motivation
  • A research statement which addresses specifically the topic of the position (300 words)
  • Transcript of all courses and results from the university-level courses taken
  • A short description of your Master thesis (max 1 page)
  • Contact information for 3 referees


Deadline for applications: August 30, 2015
Applications will be considered on receipt therefore applying before the deadline is encouraged.

Further Information

Application Deadline : 30 August 2015

PhD Candidate for SmartHome project-Efficient Mining of Data Streams : PDF

Contact Email:

Posted on 2015-08-09 04:26:42


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