## PhDs in: Sensor networks and IoT datamining, Analysis of Networks, Algorithms and geometry

Admissions are open for starting in 2018. See below for various topics and PhD positions.

### Data mining for Self driving cars, sensor networks, IoT

Large volumes of data are produced by these new systems. They must be processed rapidly for real time data mining tasks, using ideas from algorithms, computational geometry and other areas. We are interested, for example, in:

- Spatial data mining, mobile trajectory analysis
- Privacy preserving data mining and publication
- Streaming data algorithms
- Computational geometry and topology

### Network analysis

Many types of data are associated with networks or graphs -- like social networks, biological networks, road networks etc. We want to develop machine learning and data mining algorithms for these datasets. For example:

- Analysis of network structure, e.g. for social networks
- Machine learning -- classification, clustering etc -- for data associated with nodes in a network.
- Analysis of flow of information, traffic etc

### Data summarization

Large quantities of data -- or "Big data" -- are hard to handle in analytics. We want to extract compact summaries or small versions of the dataset that give the same results for analysis and machine learning. For example:

- Summarization for machine learning tasks
- Summarization of streaming data
- Summarization of complex networks.

### Application process

See here for instructions.