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Biomedical Engineering (complex systems) PhD Projects, Programs & Scholarships

We have 33 Biomedical Engineering (complex systems) PhD Projects, Programs & Scholarships

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  Autonomous Scalable Knowledge Extraction and Decision Making for Complex Systems and Dynamic Environments
  Prof L Mihaylova
Applications accepted all year round

Funding Type

PhD Type

This PhD research is focused on multi-sensor data fusion for decision making. The project aims at dealing with large volumes of data and high dimensional systems.
  Complex network control of stem cell derived cultures
  Prof S Nasuto, Dr E Delivopoulos, Dr Y Hayashi
Applications accepted all year round

Funding Type

PhD Type

"In order to create a next generation of interfaces between prosthetic devices and the nervous system or to create next generation of intelligent robots – hybrids between artificial and biological systems, it is necessary to understand the principles that allow biological networks to achieve control of bodies.
  Computational neuroscience: Statistical signal processing for multivariate neuronal data, Neural computing with Spiking neural networks.
  Research Group: Intelligent Systems and Nanoscience
  Dr D Halliday
Applications accepted all year round

Funding Type

PhD Type

How does the human brain work? As you read this text, the pixels on your screen are converted into a series of spike trains passing along the neural pathways in your brain, allowing you to understand the content.
  Machine Learning for Computational Medical Imaging
  Dr M Golbabaee, Prof P Hall
Application Deadline: 8 December 2019

Funding Type

PhD Type

The University of Bath is inviting applications for a fully funded PhD studentship based in the Department of Computer Science and under the supervision of Dr Mohammad Golbabaee (lead supervisor) https://mgolbabaee.wordpress.com/ and Prof Peter Hall (co-supervisor) https://researchportal.bath.ac.uk/en/persons/peter-hall.
  Computational algorithms to model the interplay between brain structure and function
  Dr J Escudero Rodriguez
Application Deadline: 15 January 2020

Funding Type

PhD Type

This exciting PhD project will develop computational models and analysis techniques to explore how the main connections between brain regions shape the characteristics of brain activity, and how different kinds of pathological processes damaging the connections of the network result in changes in the brain activity.
  Modelling and understanding of biological systems, using physics as a tool
  Dr Y Hayashi
Applications accepted all year round

Funding Type

PhD Type

Living systems are complex, and are based on the basic building blocks of genes, proteins, chemical reactions, and physical forces.
  Novel ways to model complex flows
  Research Group: Multiscale Modelling
  Prof A Masters
Applications accepted all year round

Funding Type

PhD Type

While the equations governing the flow of Newtonian liquids like water or petrol are well-understood and excellent numerical methods exist to make accurate predictions of how such liquids will behave, the situation regarding complex fluids, such as blood, paint, shampoos, etc, is considerably less well understood.
  Context-Aware Data-Driven Approach to Enhance the Wellbeing of Workers in Complex Scenarios (SAM28)
  Dr Yee Mey Goh, Prof M Zecca
Application Deadline: 14 January 2020

Funding Type

PhD Type

Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field.
  Development of an Aeroelastic Multi-Disciplinary Design Optimization Framework for Large Wind Turbine Systems (SAM32)
  Dr T Kim, Dr S Theodossiades
Application Deadline: 14 January 2020

Funding Type

PhD Type

Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field.
  Predictive modelling and design optimisation of erodible drug delivery systems
  Prof R Wildman
Applications accepted all year round

Funding Type

PhD Type

3 year PhD Studentship in Enabling Next Generation Additive Manufacturing. Title. Predictive modelling and design optimisation of erodible drug delivery systems.
  EASTBIO Multiscale modelling and analysis of stochastic gene expression in mammalian cells
  Research Group: Institute of Quantitative Biology, Biochemistry and Biotechnology
  Dr R Grima, Dr D Oyarzun
Application Deadline: 5 January 2020

Funding Type

PhD Type

We are looking for a motivated doctoral student to join us on an exciting project at the interface of stochastic modelling and systems and synthetic biology.
  Forward engineering of pattern formation: Models and experiments towards predictive multicellular self-organisation
  Research Group: Institute of Stem Cell Research
  Dr G Blin
Application Deadline: 5 January 2020

Funding Type

PhD Type

Background. The aim of developmental biology is a complete understanding of how the embryo develops, how embryonic cells acquire their fate and how they arrange in time and space to create complex organisms.
  EPSRC CDT in Bioprocess Engineering Leadership: Complex Biological Products Manufacture

Funding Type

PhD Type

Biological products and their manufacture are progressing to unparalleled levels of complexity. Examples include engineered biocatalysts, antibody-drug conjugates, multivalent vaccines and cellular therapies.
  Development of ex vivo tissue culture models for developing next-generation biomaterial scaffolds for acellular regenerative medicine.
  Prof I Gibson, Prof N Vargesson
Applications accepted all year round

Funding Type

PhD Type

Bone repair and regeneration can be influenced by various guidance cues, including pharmacological cues, hypoxia environment and chemical cues released from scaffolds [1-3].
  Microbial Micro-Engineers
  Dr M Mazza
Applications accepted all year round

Funding Type

PhD Type

Microorganisms occupy every crevice within global ecosystems and impact all aspects of life. However, too little is understood about their movement within physical crannies, and how they can restructure these microspaces for their own benefit.
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