[Opt-Net] 10 PhD places in new Centre for Doctoral Training in Data Science (Edinburgh, United Kingdom)
peter.richtarik at ed.ac.uk
Thu Dec 19 01:12:57 CET 2013
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)
The Edinburgh Centre for Doctoral Training (CDT) in Data Science is
now inviting applications for 10 fully-funded PhD studentships, to
start in September 2014. 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
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. The CDT is
funded by EPSRC and the University of Edinburgh.
Edinburgh has a large, world-class research community in data science
to support the work of the CDT student cohort. The city of Edinburgh
has often been voted the 'best place to live in Britain', and has many
exciting cultural and student activities.
Because of constraints from funding agencies, there are different
rules for funding depending on your fee status:
* UK and EU students: Full funding (fees and stipend) is available.
* Non-EU students: Funding is significantly more competitive; see
See http://datascience.inf.ed.ac.uk/apply/ for further information and
application forms. Enquiries via datascience at inf.ed.ac.uk .
There are two deadlines for applications:
* First round deadline for full consideration. Apply by 27 January
2014. (Any non-EU candidates must apply by this date, as well as
following the specific instructions for non-EU residents.)
* Second round: Any remaining scholarships will be awarded in a
second round of applications. The deadline for the second round is
31 March 2014.
Assistant Professor of Optimization
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