Wednesday 13 January 2016

PostDoc in Large-scale Data Analytics at Imperial College

We are looking for aspiring researchers who are interested in pursuing a PostDoc in the broad area of data analytics.

Our group focuses on data analytics and high impact interdisciplinary research, i.e., developing ground breaking and novel data management techniques strongly motivated and used in other disciplines.

The background of successful candidates must overlap significantly with the following areas:

  •  data management 
  •  data analytics/unsupervised learning 
  •  large-scale data analytics 
  •  massively parallel algorithms and computation (ideally experience with MPI and supercomputing) 

Responsibilities of the position include:

  •  perform research on massively parallel data analytics 
  •  work with Ph.D. students, help directing their research and help in disseminating results 
  •  support teaching efforts 
  •  support the acquisition of new research and industrial projects 

You must have excellent communication skills and prioritise work to meet deadlines. Excellent command of English, oral and written, is mandatory. Please note that only candidates with publications in the relevant areas are considered - others need not apply.

How to apply: please send the application to t.heinis@imperial.ac.uk

Applications must include the following:

  •  a full CV 
  •  publication list 
  •  a research statement 
  •  contact information for at least 2 references who have agreed to speak about you, your work, and your potential 

Starting date: Ideally April 2016 but later dates are also possible.

Salary range: £33,410 to £42,380 per annum (depending on experience)

About Imperial: Imperial College is a first class address to pursue excellent, high impact research. Imperial College consistently ranks among the top 5 schools in the world (Times Higher Education & QS rankings). The Department of Computing is also a leading department of Computer Science among UK Universities. It has consistently been awarded the highest research rating (5*) in Research Assessment Exercises (RAE), coming 2nd in the 2008 RAE, and was rated as Excellent in the previous national assessment on teaching quality


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