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Information Science (selection) PhD Projects, Programs & Scholarships

We have 13 Information Science (selection) PhD Projects, Programs & Scholarships

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  Robust Deep Time Series Model Selection for Effective Decision Support
  Prof X Hong
Applications accepted all year round

Funding Type

PhD Type

Time series data consists of sampled data points taken over time. Time series modeling and prediction are one of the most fundamental problems and have been subject to intensive researches.
  PhD Studentship in Machine Learning and IoT
  Dr M Jaber
Application Deadline: 14 February 2020

Funding Type

PhD Type

Applications are invited for a full PhD Scholarship starting April 2020 (or as soon as possible thereafter) to undertake research in the area of Machine learning and IoT in the context of Smart Cities.
  Joint PhD with CNRS: Modeling of multivariate data with complex dependence structures using copulas
  Dr P Krupskiy, Prof I Kojadinovic
Application Deadline: 20 November 2019

Funding Type

PhD Type

Copula modeling has been applied in a wide variety of areas such as quantitative risk management, econometric modeling, environmental modeling, to name a few.
  Reproductive interference across continental scales: combining citizen science and behavioural experiments to test reproductive character displacement hypotheses
  Dr J Drury
Application Deadline: 10 January 2020

Funding Type

PhD Type

Social interactions between species impact numerous ecological and evolutionary processes. For instance, wasteful reproductive interactions between species (reproductive interference) may prevent two species from coexisting in the same location unless natural selection drives divergence in traits used as mating signals.
  Statistical and machine learning methods for risk prediction of cardiovascular diseases from complex longitudinal data
  Dr G Czanner, Dr I Olier, Prof P Lisboa, Prof G Lip
Applications accepted all year round

Funding Type

PhD Type

Project description. Risk prediction models are used in clinical decision making and are used to help patients make an informed choice about their treatment.
  Deep Learning algorithms, reasoning and interpretation
  Dr G Cosma
Application Deadline: 1 September 2020

Funding Type

PhD Type

Deep learning is a subset of machine learning in artificial intelligence (AI) that is capable of learning from data.
  Reconstructing microbial genomes from environmental samples and their impact ongreenhouse gases (HILDEBRANDQ20DTP1)
  Dr F Hildebrand
Application Deadline: 25 November 2019

Funding Type

PhD Type

We are looking for a highly motivated student, interested in Bioinformatics (metagenomics), global warming, and metabolism-centric interpretation of ecosystems.
  Deep Learning for Temporal Information Processing
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Temporal information process covers a broad class of learning problems where knowledge can be acquired from data of a sequential order, e.g.
  Ensemble Strategies for Semi-Supervised, Unsupervised and Transfer Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Traditionally there are two main paradigms in machine learning, supervised vs. unsupervised learning.
  Machine Learning and Cognitive Modelling Applied to Video Games
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Video games have been viewed as an ideal test bed for the study of AI. However, most of the academic work in this area focused on traditional board and card games where limited AI techniques have been tested.
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