Ph.D. Positions

We are looking for aspiring researchers that want to pursue a Ph.D. (in 3 to 3.5 years) in the broad area of scientific data management. The group focuses on scientific data management and high impact interdisciplinary research, i.e., developing ground breaking and novel data management techniques strongly motivated and used in other disciplines (see examples of past research here and demos here. Also see the example video of an iPad demo we implemented below). The research interests of a successful applicant have to overlap considerably with the group’s interests:

  • Big Data, Distributed Indexing & Processing
  • Scientific Data Management
  • Spatial Data, Spatial Indexing
  • Spatio-Temporal Indexing
  • High-dimensional Indexing/Clustering
  • In-Memory Indexing
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To apply you will need to have a strong background in computer science (M.Sc. or B.Sc. in Computer Science or very closely related) and ideally solid experience with data management. Given the interdisciplinary nature of our group’s research, the ideal candidate also has a background in a different discipline.

You must have excellent communication skills and prioritise work to meet deadlines. All applicants must be fluent in spoken and written English. Preference will be given to applicants with publications in the relevant areas.

How to apply: please send a message to t.heinis@imperial.ac.uk

Applications must include the following:

  1. A full CV
  2. Scan of your transcripts of your studies
  3. Contact information for 2 references who have agreed to speak about you, your work, and your potential

Starting date: as soon as possible (October at the earliest)

Closing date: open

About Imperial College and London

Imperial College is 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 of teaching quality.

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