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  EPSRC Funded Studentship: Efficient and scalable calculation of graph metrics for large-scale dynamic networks
University of Sussex School of Engineering and Informatics
  Dr L Berthouze, Dr G Parisis
Applications accepted all year round
A PhD position in network science is available in the groups of Drs Luc Berthouze and George Parisis in the Department of Informatics at the University of Sussex.
Details
Type/Funding
  Scalable in-memory graph databases
University of Leicester Department of Informatics
  Prof R Raman, Prof T Erlebach
Application Deadline: 21 January 2019
We live in a networked world. the relationship between entities are even more meaningful than the entities themselves. An obvious example is Facebook, where each entity represents an individual or an organisation, and two entities are related if they are “friends” on Facebook.
Details
Type/Funding
  Algorithms for Large Graphs - The Design and Analysis of Graph Algorithms in Modern Computational Models
University of Sheffield Department of Computer Science
  Dr P Peng
Applications accepted all year round
The Department of Computer Science at the University of Sheffield is offering a fully funded 3 year PhD studentship on Algorithms for Large Graphs.
Details
Type/Funding
  Systematisation of epithelial architecture using mathematical morphology and graph theory
University of Birmingham School of Dentistry
  Prof G Landini
Applications accepted all year round
Quantitative Pathology investigates problems in pathology using innovative, analytical methods to collect reliable, quantifiable and reproducible markers of disease.
Details
Type/Funding
  Optimal Impartial Selection: Seeking to Improve the Upper and Lower Bounds for Selecting Multiple Individuals
Queen Mary University of London School of Mathematical Sciences
  Research Group: Combinatorics
  Dr F Fischer
Applications accepted all year round
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing either in September 2019 for students seeking funding, or at any point in the academic year for self-funded students.
Details
Type/Funding
  Computational Imaging: Improving the Acquisition and Processing of Single-Photon Data
Heriot-Watt University School of Engineering & Physical Sciences
  Dr AH Halimi, Prof S McLaughlin
Applications accepted all year round
Recent technological innovations, eg detection and acquisition hardware, have pushed sparse-photon imaging to the fore in a variety of applications including 3D Lidar imaging and microscopy.
Details
Type/Funding
  Finite noncommutative Riemannian geometries
Queen Mary University of London School of Mathematical Sciences
  Research Group: Geometry and Analysis
  Prof S Majid
Applications accepted all year round
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing either in September 2019 for students seeking funding, or at any point in the academic year for self-funded students.
Details
Type/Funding
  Population Health Data Science: data mining within a novel platform (EpiGraphDB) being developed within the MRC IEU
University of Bristol MRC Integrative Epidemiology Unit
  Dr T Gaunt, Prof P Flach, Dr B Elsworth
Application Deadline: 16 December 2019
4-year PhD starting in October 2019. Closing date. 5pm, 17th December 2018. We are seeking an enthusiastic postgraduate researcher with a strong interest in data science applied to health.
Details
Type/Funding
  Combinatorial Design for Mobile Edge Caching/Computing in Large-scale Content Distribution Networks
University of Liverpool Department of Electrical Engineering and Electronics
  Dr X Yi, Assoc Prof CS Liao
Application Deadline: 1 April 2019
The past decades have witnessed the dramatic increase of smart mobile devices (e.g., smartphones, tablets) requesting multimedia services that generate the bulk of data traffic.
Details
Type/Funding
  From Ontology to Visual Scene Understanding
University of Manchester School of Computer Science
  Dr T Mu, Prof U Sattler
Application Deadline: 11 January 2019
Understanding visual scenes is one of the fundamental objectives of computer vision. A first step in scene understanding is the detection and recognition of objects from the input images, such as "person" or "bicycle", which is well-understood.
Details
Type/Funding
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