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Intelligent Systems Lab and Center for Applied Intelligent Systems Research is currently looking for two PhD candidates in the field of Data Mining to work within our research projects together with our industrial partners: Volvo Group Trucks Advanced Technology & Research in Göteborg and the local electricity distribution company, Halmstads Energi och Miljö (HEM) AB.

Please help us find good candidates by posting the flyer on your institution information board(s) and/or forwarding this information to people who could be interested.

Both positions are fully funded for the 4 or 5 years. As a doctoral student, you will enjoy the full employment benefits, and an initial salary of 24000 SEK. Your duties will include individual studies, research, and teaching (up to 20 %) within the subject field.

The deadline for applications is 31st of December 2013.

PhD Position in Data Mining with focus on machine learning and data analysis for combining on-board and off-board vehicle data

In the project we will be working on methods for analysing data coming from multiple sources, with the specific goal of accurately estimating the state of health and remaining useful life of a number of components in heavy duty trucks, buses and construction equipment. This will entail developing novel algorithms and methods for combining different types of information, discovering interesting relations in the available data, evaluating their usefulness, and finally exploiting resulting models and predictions to increase vehicle uptime and lower maintenance costs. Work will focus on solutions that take into account specific constraints associated with the automotive domain, such as distributed and mobile nature of transport fleets and the ever-present considerations of traffic safety, as well as limited computational power and communication capabilities.

We are looking for a candidate who has recently received, or is expecting to finalise within a few months, a Master's degree in a relevant field such as Computer Science, or similar. Particular strength or experience in machine learning, data mining, computer programming or applied mathematics is highly appreciated.

This research is partially funded by, and will be performed in close collaboration with, our industrial partner Volvo Group Trucks Advanced Technology & Research in Göteborg within the Embedded and Intelligent Systems Industrial Graduate School (EISIGS) at Halmstad University.

The official announcement of the position, including details about how to apply, is available on the Halmstad University page.

For more information about the position please contact Slawomir Nowaczyk or Thorsteinn Rögnvaldsson

PhD Position in Data Mining with focus on analysing energy usage patterns for improving sustainability

We are currently looking for a PhD candidate to work in a new project we will undertake with the local electricity distribution company, Halmstads Energi och Miljö (HEM) AB.

In the project we will be working on methods for analysing electrical energy consumption data, collected from smart meters and other intelligent sensors distributed on the grid. The overall goal of the research is to investigate both data-driven and knowledge-driven methods for predicting critical failures (blackouts) and understanding the needs for routine maintenance, as well as detecting deviations in usage and operations in order to support high quality, sustainable services for the future. This will entail developing novel algorithms and methods for combining different types of information, discovering interesting relations in the available data, evaluating their usefulness, and finally exploiting resulting models and predictions. The project will focus on solutions that take into account specific constraints associated with the energy domain, such as the complex and distributed nature of the network, high reliability requirements and privacy concerns.

We are looking for a candidate who has recently received, or is soon expecting to receive, a Master's degree or equivalent in a relevant field such as Electrical Engineering or Computer Science. Particular strength or experience in machine learning, data mining, energy, smart grids, computer programming and/or applied mathematics is highly appreciated.

This research is partially funded by, and will be performed in close collaboration with, our partner HEM AB within the Embedded and Intelligent Systems Industrial Graduate School (EISIGS) at Halmstad University.

The official announcement of the position, including details about how to apply, is available on the Halmstad University page.

For more information about the position please contact Anita Sant'Anna or Slawomir Nowaczyk