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10 fully-funded PhD places, Data Science, Edinburgh, UK (informacija)

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PostPostano: 23:18 pon, 6. 1. 2014    Naslov: 10 fully-funded PhD places, Data Science, Edinburgh, UK Citirajte i odgovorite

10 PhD places in new Centre for Doctoral Training in Data Science
Web site: [url]http://datascience.inf.ed.ac.uk/[/url]
Application deadline: 27 January 2014 (first round)

Students with a strong background in computer science, mathematics, physics, or engineering are particularly encouraged to apply.

The CDT focuses on the computational principles, methods, and systems for extracting knowledge from data. Large data sets are now generated by almost every activity in science, society, and commerce - ranging from molecular biology to social media, from sustainable energy to health care. Data science asks: How can we efficiently find patterns in these vast streams of data?

Many research areas have tackled parts of this problem: machine learning focuses on finding patterns and making predictions from data; databases are needed for efficiently accessing data and ensuring its quality; ideas from algorithms are required to build systems that scale to big data streams; and separate research areas have grown around different types of unstructured data such as text, images, sensor data, video, and speech. Recently, these distinct disciplines have begun to converge into a single field called data science.

The CDT is a 4-year programme: the first year provides Masters level training in the core areas of data science, along with a significant project. In years 2-4 students will carry out PhD research in Data Science, guided by PhD supervisors from within the centre.
10 PhD places in new Centre for Doctoral Training in Data Science
Web site: http://datascience.inf.ed.ac.uk/
Application deadline: 27 January 2014 (first round)

Students with a strong background in computer science, mathematics, physics, or engineering are particularly encouraged to apply.

The CDT focuses on the computational principles, methods, and systems for extracting knowledge from data. Large data sets are now generated by almost every activity in science, society, and commerce - ranging from molecular biology to social media, from sustainable energy to health care. Data science asks: How can we efficiently find patterns in these vast streams of data?

Many research areas have tackled parts of this problem: machine learning focuses on finding patterns and making predictions from data; databases are needed for efficiently accessing data and ensuring its quality; ideas from algorithms are required to build systems that scale to big data streams; and separate research areas have grown around different types of unstructured data such as text, images, sensor data, video, and speech. Recently, these distinct disciplines have begun to converge into a single field called data science.

The CDT is a 4-year programme: the first year provides Masters level training in the core areas of data science, along with a significant project. In years 2-4 students will carry out PhD research in Data Science, guided by PhD supervisors from within the centre.



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