Fraunhofer: two open PhDs positions in Smart Internet of Things

Fraunhofer: two open PhDs positions in Smart Internet of Things

The proliferation of intelligent connected devices has created a market for entirely new solutions based on Internet of Things (IoT) technology. These devices continuously generate an ever-increasing amount of data which is still underexploited with respect to its potential benefit. The first key to gaining more value is effective data generation and data collection using appropriate energy efficient devices and networks. The second key is the effective data processing using expressive data models and efficient data processing tools. Many of these technologies exist already and are used in various application scenarios for transportation, energy management, health monitoring, agriculture, all being representatives of sectors hoping for increased effectiveness and efficiency by adding ICT supported sensing and actuating capabilities to their environment. However, deploying IoT in large scale still encounters various issues both on technical and non-technical dimensions.

Both PhDs proposals are concerned with data processing issues of Smart applications combining rich sets of heterogeneous information sources including any kind of environmental sensor device data, but also user submitted physical world observations and measurements [Sheth,Barnaghi], social media data as well as linked open data [Berners-Lee]. The general objective of this thesis is to obtain a better understanding of “Smart IoT”-related data and knowledge processing tasks and to propose new solutions for building these applications. The goal is to identify and answer a certain number of issues in building a generic open IoT data warehouse for combining, integrating, controlling and valorizing raw dynamic sensor data with rich contextual information about the sensors (position, time), users (social) and application domain (ontologies, open data). This work will also be driven by a currently ongoing study of different real-world Smart IoT application scenarios and the main expected result will be a set of basic requirements and features for smart IoT application. Depending on the candidate proficiency and application scenarios, possible research topics are:

  • Models and algorithms for data privacy and access control to personal data
  • Data provenance and data quality
  • Large-scale semantic (RDF) data processing and query optimization
  • Efficient integration and mining of (un)structured data from heterogeneous sources

The PhD student will contribute to the EBITA research project funded from the Bundesministerium für Bildung und Forschung (BMBF) in Germany and the Paris Sorbonne University in France. The starting point of this project is an open IoT platform (OpenIoT) developed by Fraunhofer IOSB already combining sensor networks with semantic web technologies.  The candidate will collaborate with researchers and engineers from Fraunhofer IOSB in Karlsruhe and the LIP6 laboratory.

What we expect from you:
→ Master in Computer Science or equivalent (engineer)
→ Strong analytical and programming skills
→ Excellent written and oral communications skills (English is a must, French/German a plus)
→ Capacity to understand new concepts and to work independently

Application procedure: Candidates should send
→ their resume
→ their university/grade transcripts of the last two years
→ their BSc/MSc diploma
→ a motivation letter including a short research plan [max 2 pages] targeting topics of interest to this call
→ letters of recommendation (optional)
to all contacts below.

Application Deadline: 15th of June 2015

Bernd Amann
Christophe Marsala
Volker Tippmann

Fraunhofer is Europe’s largest application-oriented research organization. Our research efforts are geared entirely to people’s needs: health, security, communication, energy and the environment. As a result, the work undertaken by our researchers and developers has a significant impact on people’s lives. We are creative. We shape technology. We design products. We improve methods and techniques. We open up new vistas.

Research Institutions:
The LIP6 Laboratory of Computer Sciences, Paris// with a staff of 470 people including 170 permanent researchers, 250 PhD students, Postdocs, engineers and administrative employees is today one of the most important centers of Computer Science in France. LIP6 is part of the Université Pierre et Marie Curie and as a department of CNRS (UMR 7606), it is also linked to the INS2I (Institut des sciences de l'information et de leurs interactions). The LIP6 laboratory is composed of 20 research teams structured into 7 departments which cover a wide spectrum of computer science domains: scientific computing, decision making, optimization problems in artificial intelligence and operational research, databases and machine learning, networks and systems, systems on chips, complex systems.

The Fraunhofer-Institute for Optronics, System Technologies and Image Exploitation, Karlsruhe (IOSB, ) has 440 permanent employees, of which 282 are scientists or engineers. IOSB is situated in Karlsruhe, Germany and develops innovative concepts and application solutions in information technology in various business units such as automation, energy, water and environment, defense, security and automated visual inspection. Fourteen departments and one research group, which acts as a link to the Chair of Interactive Real-Time Systems of the Institute for Anthropomatics at the Faculty for Information Technology at the Karlsruhe Technical University, represent the variety of competences at the IOSB.