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Mathematics (scientific computing) PhD Projects, Programs & Scholarships

We have 28 Mathematics (scientific computing) PhD Projects, Programs & Scholarships

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  Machine learning-based nonlinear approximation of PDEs on complex domains
  Prof S Badia
Applications accepted all year round

Funding Type

PhD Type

Countless phenomena can be modelled by partial differential equations, including the electromechanics of the heart or option pricing in finance.
  Adaptivity and machine learning techniques for PDE problems with uncertain inputs
  Dr A Bespalov
Applications accepted all year round

Funding Type

PhD Type

PhD Studentship in Numerical Analysis and Scientific Computing. The project concerns numerical solution of partial differential equations (PDEs) with parametric uncertainty in input data.
  Doctoral Researchers: 9 Fully Funded Positions in Data Science & Health

Funding Type

PhD Type

The German Cancer Research Center is the largest biomedical research institution in Germany. With more than 3,000 employees, we operate an extensive scientific program in the field of cancer research.
  Doctoral Researchers: 9 Fully Funded Positions in Data Science & Health

Funding Type

PhD Type

The German Cancer Research Center is the largest biomedical research institution in Germany. With more than 3,000 employees, we operate an extensive scientific program in the field of cancer research.
  Doctoral Researchers: 9 Fully Funded Positions in Data Science & Health

Funding Type

PhD Type

The German Cancer Research Center is the largest biomedical research institution in Germany. With more than 3,000 employees, we operate an extensive scientific program in the field of cancer research.
  Fast and Reliable Algorithms for High-Performance Numerical Linear Algebra
  Prof N. J. Higham
Applications accepted all year round

Funding Type

PhD Type

The project focuses on developing a new generation of numerical linear algebra algorithms that exploit current and future computers.
  Adaptive numerical algorithms for PDE problems with random input data
  Dr A Bespalov
Applications accepted all year round

Funding Type

PhD Type

PhD Studentship in Numerical Analysis and Scientific Computing. The project concerns numerical solution of partial differential equations (PDEs) with uncertainty in input data.
  Adaptive undersampling for spectro-microscopy: exploring new mathematical properties and enhancing performance
  Dr S Gazzola, Dr S Dolgov
Application Deadline: 15 March 2020

Funding Type

PhD Type

This is a collaborative project between the University of Bath and Diamond Light Source, the national synchrotron science facility located at the Harwell Science and Innovation Campus near Oxford https://www.diamond.ac.uk/Home.html.
  Network modelling of spatial distributions from large data sets
  Research Group: Complex Systems and Networks
  Dr V Nicosia
Applications accepted all year round

Funding Type

PhD Type

The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing either in September 2020 for students seeking funding, or in January 2020 or April 2020 for self-funded students.
  OIST International PhD Program

Funding Type

PhD Type

The OIST Graduate University offers an individualized PhD program providing a secure foundation in the fundamentals of your field, with unparalleled opportunities for cross-disciplinary research.
  Towards a more scientific and rigorous debt management: investigation of numerical and simulation approaches
  Dr D Xie, Dr T Kouwenhoven
Applications accepted all year round

Funding Type

PhD Type

It has been well recognized that higher leverage ratio and poor debt management are fundamental factors leading to financial crisis across all economies.
  Join a new graduate school at the interface of biology and computation: IMPRS-BAC in Berlin

Funding Type

PhD Type

We are looking for outstanding graduates from all over the world - whether you have a degree in bioinformatics, computer science, mathematics, physics, molecular biology or something related, as long as you have a passion for solving biological questions through computational methods, the IMPRS-CBSC may be the PhD program for you.
  Developing high-fidelity digital twins to advance the design of next generation floating offshore wind turbines
  Dr S Campobasso, Dr A Nixon
Application Deadline: 13 March 2020

Funding Type

PhD Type

This cross-disciplinary project aims to substantially reduce Floating Offshore Wind Turbine (FOWT) development uncertainty, which limits the full exploitation of global wind energy resources.
  Design, Implementation and Evaluation of Non-Cooperative Game Theoretic Models for Cyber Security
  Dr E Pfluegel
Applications accepted all year round

Funding Type

PhD Type

Cyber security is the assessment of, responding to and monitoring of the security of the cyberspace. It is difficult to pin down to one single scientific discipline, but rather relates to a number of domains and fields such as physical security, network security, security assessment frameworks and the human element.
  20 Funded PhD Positions in the IMPRS-CellDevoSys - Integrating Biology, Physics, Chemistry & Computer Science

Funding Type

PhD Type

A 4-year PhD Program involving 3 renowned international institutes. the Max Planck Institute of Molecular Cell Biology and Genetics, the Center for Systems Biology Dresden, and the Max Planck Institute for the Physics of Complex Systems.
  20 Funded PhD Positions in the IMPRS-CellDevoSys - Integrating Biology, Physics, Chemistry & Computer Science

Funding Type

PhD Type

A 4-year PhD Program involving 3 renowned international institutes. the Max Planck Institute of Molecular Cell Biology and Genetics, the Center for Systems Biology Dresden, and the Max Planck Institute for the Physics of Complex Systems.
  Design human-like machine learning
  Dr C Grosan
Applications accepted all year round

Funding Type

PhD Type

A study of the publications available via PubMed alone (a database of 26 million references to biomedical publications), shows that only four machine learning models (linear regression, Bayesian reasoning, Random Forests and Neural Networks) are frequently employed in most of the experiments.
  EPSRC DTP studentship in Sparsity and structures in large-scale machine learning problems
  Dr B Gauthier, Dr K Strokorb
Application Deadline: 16 March 2020

Funding Type

PhD Type

This project aims at investigating, both from a theoretical and computational point of view, the design of novel model-based and data-driven feature extraction and sparsification strategies for the approximation of complex Machine Learning problems.
  Sparsity and structures in large-scale machine learning problems.
  Dr B Gauthier, Prof A Balinsky
Applications accepted all year round

Funding Type

PhD Type

The terminology “big data” is generally used to refer to datasets that are too large or complex for traditional data-processing technics to adequately deal with them.
  Aerospace Engineering: Fully Funded Reaction Engines Ltd PhD Scholarship: Development of transonic and supersonic CFD modelling and design optimisation techniques for spaceplanes
  Dr B Evans
Application Deadline: 31 March 2020

Funding Type

PhD Type

This scholarship is funded by Reaction Engines Ltd (REL). Start date. October 2020. Subject areas. Computational Fluid Dynamics, transonic flow, aerodynamic design and optimisation.
  The outcomes of innovative radiotherapy regimes for the treatment of cancer under the RadNet programme
  Prof G Royle, Dr C Allemani, Prof M Coleman
Application Deadline: 16 March 2020

Funding Type

PhD Type

Radiotherapy is a key treatment modality for at least half of all cancers. Delivering a curative radiation dose to the cancer can be complicated by imprecise targeting of the tumour, radiation resistance, clonal heterogeneity or other reasons.
  UKRI Centre for Doctoral Training in Artificial Intelligence for Medical Diagnosis and Care

Funding Type

PhD Type

Building on the Leeds distinctive strength, depth and international excellence in multi-modal AI, and medical diagnosis and care, we will train cohorts of researchers equipped with the necessary skills to unlock the immense potential of AI within the health domain.
  Reinforcement Learning based Recommender systems in the Era of Big Data
  Dr H Liang
Applications accepted all year round

Funding Type

PhD Type

The general aim of this project is to develop novel algorithms to discover new knowledge about users’ individual interests, preferences, sentiment and emotional status, and information needs from large scale data, for the purpose of facilitating recommender systems to provide better personalized services for users.
  PhD Studentship: PDE problems in cell biology
  Dr C Venkataraman
Application Deadline: 31 August 2020

Funding Type

PhD Type

Along with experimental studies, mathematical modelling has become an indispensable tool in. understanding phenomena in cell biology.
  Neuronal Dynamics from a complex network perspective
  Prof A Politi, Dr E Ullner
Applications accepted all year round

Funding Type

PhD Type

The human brain is possibly the most intriguing complex system we know. The combination of experimental work and theoretical approaches has gained many insides in the last century but we are still far away from a real understanding.
  Mathematics: Fully Funded PhD Scholarship in Topological Data Analysis for Biomedical Data
  Prof J Giansiracusa
Application Deadline: 28 February 2020

Funding Type

PhD Type

Start date. October 2020. Project Supervisors. - Supervisor 1. Jeffrey Giansiracusa. - Supervisor 2. Yue Ren. Project description.
  KESS2 Scholarship: Techno-economic Analysis of Solar Heat Farms: Hydrogen, Water or Electricity? (MbyRes)
  Dr S Carr
Application Deadline: 1 March 2020

Funding Type

PhD Type

Here is an exciting opportunity to study the application of solar heat farms (based on arrays of solar thermal collectors and/or solar photovoltaic modules), which could lead to entirely new approaches to providing low carbon heat at scale.
  PhD Studentship Opportunity in Real time complex scene segmentation and prediction in urban environments
  Prof R Bowden
Applications accepted all year round

Funding Type

PhD Type

Semantic image segmentation describes the process of associating each pixel of an image with a class label (such as flower, person, road, sky etc).
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