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complex systems PhD Projects, Programs & Scholarships

We have 322 complex systems PhD Projects, Programs & Scholarships

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  Cyber threats prediction using experience sharing model and ensemble learning algorithms
  Dr A Mohasseb, Dr B Aziz
Application Deadline: 23 February 2020

Funding Type

PhD Type

Applications are invited for a three year PhD to commence in October 2020. The PhD will be based in the Faculty of Technology, and will be supervised by Dr Alaa Mohasseb and Dr Benjamin Aziz.
  PhD Position in Cryo Electron Microscopy of Rhodopsin Cyclases
  Prof P Wendler
Applications accepted all year round

Funding Type

PhD Type

Eukaryotic rhodopsin guanylyl cyclases (RhGC) and rhodopsin phosphodiesterases (RhPDE) combine a rhodopsin photoreceptor module with an enzymatic unit that catalyzes the conversion of cyclic nucleotides to the corresponding 5’-phosphate nucleotide or vice versa.
  Functional Selectivity and the Regulation of Receptor-Activated Signaling Pathways
  Dr G Cottrell, Dr D Widera, Dr S Amadesi, Dr A McNeish
Applications accepted all year round

Funding Type

PhD Type

The molecular mechanisms that regulate receptors and receptor-activated signaling pathways in the cardiovascular and nervous systems are complex.
  Characterisation of the role of the adhesion protein tensin 3 in breast cancer progression
  Dr E Rainero
Application Deadline: 29 January 2020

Funding Type

PhD Type

Breast cancer arises from the transformation of mammary epithelial cells. In the healthy tissue, these grow as a single monolayer of cells delimiting an internal hollow lumen 2.
  Investigating the role of the protease ADAMTS5 in ovarian cancer
  Dr E Rainero
Application Deadline: 29 January 2020

Funding Type

PhD Type

Ovarian cancer is the most lethal gynaecological malignancy. Mostly because of late stage diagnosis, the 5-year survival rate is.
  Protein ghost recognition using deep learning
  Research Group: Sustainable Electronic Technologies
  Prof A Brown
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Prof Andrew Brown. Project description. POETS (Partially Ordered Event Triggered Systems) technology is based on the idea of an extremely large number (millions) of small processing cores, embedded in a fast, bespoke, hardware, parallel communications infrastructure – the core mesh.
  Simulation of large-amplitude gust interaction with rigid wings
  Research Group: Aerodynamics and Flight Mechanics
  Dr A Da Ronch
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Andrea Da Ronch. Project description. This is a unique opportunity for an enthusiastic and self-driven student to join a vibrant team with a well-proved expertise in nonlinear computational aeroelasticity and aerodynamics.
  Fully funded PhD studentship in Computational Chemistry
  Dr D Palmer
Applications accepted all year round

Funding Type

PhD Type

A fully funded, three year PhD Studentship is available in the Department of Pure and Applied Chemistry at the University of Strathclyde under the supervision of Dr David Palmer (Strathclyde).
  Entrepreneurial Ecosystems, Innovation and Regional Economic Development

Funding Type

PhD Type

 . Entrepreneurial ecosystems are becoming a widely-used approach by policy makers to stimulate regional economic development.
  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.
  PhD in Chemical Biology -- Neuropeptide Research -- University of Vienna
  Prof M Muttenthaler
Applications accepted all year round

Funding Type

PhD Type

Neuropeptides are key mediators in many biological functions and understanding their interaction with target proteins is fundamental to unravel the underlying mechanism of diseases.
  Computational Modelling of Leidenfrost Fractals
  Dr J Sprittles
Applications accepted all year round

Funding Type

PhD Type

The Leidenfrost effect levitates small liquid drops above hot surfaces via a strong evaporative flux and is seen when water droplets skate across a hot pan.
  Investigating the impact of equation of state uncertainties on direct-drive inertial fusion energy simulations
  Dr T Goffrey, Prof T D Arber
Applications accepted all year round

Funding Type

PhD Type

Direct-drive inertial fusion energy1 (IFE) requires high-energy lasers to be focussed on a spherical target. The outer material of the target (usually plastic) ablates, driving an implosion of the core deuterium-tritium (DT) fuel.
  It’s all in the Structure: Transforming drug design by bringing together molecular simulations and machine learning
  Dr G.C. Sosso
Applications accepted all year round

Funding Type

PhD Type

The solubility of pharmaceutical drugs determines to what extent they can be absorbed. Machine learning algorithms can predict the solubility of novel drugs without the need of actually synthetizing them - thus saving substantial time and money.
  Predicting long-term materials ageing using reaction discovery and machine learning
  Dr S Habershon
Applications accepted all year round

Funding Type

PhD Type

Predicting the long-term (decades or more) stability of organic polymeric materials under ambient environmental photothermal conditions is a unique challenge because experimental testing on such time-scales is often impossible or too expensive.
  Step into the unknown: modelling titanium alloys at extreme conditions
  Dr A Bartok-Partay
Applications accepted all year round

Funding Type

PhD Type

Titanium alloys are very popular in industrial and medical applications due to their excellent mechanical and chemical properties.
  Tiny objects causing giant strength: Precipitate formation in superalloys
  Dr P Brommer
Applications accepted all year round

Funding Type

PhD Type

The extraordinary strength of superalloys (used e.g. in aeroplane engines) is caused by nanoscale precipitates formed in an ageing process.
  X-ray studies of dynamic fluctuations in Nano-scaled artificial Spin-Ices
  Dr T PA Hase
Applications accepted all year round

Funding Type

PhD Type

Geometric frustration, in which pair-wise interactions are incompatible with the underlying lattice can be found in many fields. Exploring the effect in bulk crystals is limited by the inability to modify the interactions in a systematic manner.
  Ecological and evolutionary interactions in insect symbiont communities
  Dr J Ferrari
Application Deadline: 30 June 2020

Funding Type

PhD Type

Most organisms host bacterial symbionts, which can substantially affect the biology of their hosts. For example, they can alter the host’s nutrition, reproduction, immunity and protect the host from environmental stresses.
  Deep-learning computer vision for tracking animals with UAVs/drones
  Dr DW Franks
Applications accepted all year round

Funding Type

PhD Type

Research areas. Deep learning; Machine learning; Computer vision. Modern UAV / drone technology offers a non-invasive approach to recording animals in the wild.
  Autonomous cooperation of bio-inspired adaptable lightweight mobile robots
  Research Group: Intelligent Systems and Nanoscience
  Dr M A Post, Prof A M Tyrrell
Applications accepted all year round

Funding Type

PhD Type

In challenging planetary environments such as Mars, a diverse range of terrains must be traversed to deliver sensing instruments and achieve scientific goals.
  Metabolic control of T cell function
  Dr S Dimeloe
Applications accepted all year round

Funding Type

PhD Type

Current research interests in Sarah Dimeloe’s lab focus on the metabolism and interlinked immune function of T lymphocytes in health and disease.
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