PhD Studentships

Postgraduate Research Studentships

PhD studentships are available for applicants who wish to undertake full-time research in the School of Mechanical and Aerospace Engineering at Queen's University Belfast. Funding arrangements differ from project to project, so guidance on eligibility and stipend should be sought from the individual project description/supervisor.

Further details for each individual project can be found by clicking on the title of the project within the table.  Should you require any additional information, you can also obtain contact details for the lead supervisor by clicking their name in the table below.

 

Queens University Belfast is a diverse and international institution which is strongly committed to equality, diversity and selection on merit. Currently women are under-represented in research positions in the School and accordingly, applications from women are particularly welcome.

 

Applications should be made electronically through the

Queen’s online application portal by clicking here.

If you are interested in multiple projects you

should make a separate application to each.

 

 

Projects For

UK

Applicants:

Lead

Supervisor: 

 

 

Projects For

International

Applicants:

Deadline: 28th March 2019. 

Lead

Supervisor: 

Multifunctional elastomer nanocomposites for self-healing stretchable conductors

Biqiong Chen  

EU Agri Food Waste Streams as Biobased Polymer Precursors: Implications for Packaging Supply Chain Managementand the Circular Economy 

Eoin Cunningham 
Design and productionisation of aerodynamic bearings using foil and hybrid air bearing technology for high speed turbo-machinery applications Stephen Spence   On the development of biomechanics numerical models for the prediction of shear stress distribution on human eyes.  Marco Geron 
Finite Element Modelling for Optimisation of Renewable Packaging Gary Menary   Innovative design capability of turbine blade using additive manufacturing  Sung in Kim 
Decision support tool for optimal sequencing of installation operations for an offshore wind farm Adrian Murphy   A multi-fidelity simulation platform for assessing the damage tolerance of composite aero structures.  Declan Nolan 
Simulation of the Advanced Manufacturing of Multi-layer Rotomoulded Structures for the Renewable Energy Sector Peter Martin    Advanced manufacturing of aircraft composite structures  Dan Sun 
Optimal integration of joint energy and power services to determine true strike price of offshore wind Aoife Foley

 

     
Sir William Wright Technology Centre - PhD positions available for 2019-2020        
Future retail electricity market structure and operations with increasing customer engagement  Aoife Foley      
Prediction and control of variation propagation in aircraft assembly Yan Jin      
Voice orchestrated design tools Amar Kumar Behera      
Battery Thermal Management and Algorithmic 3D Temperature Prediction Stephen Glover      
Novel Nanohybrid Coatings for Controlling the Degradation Rate of Bioresorbable Medical Devices Dan Sun      
Computer aided process planning for multi-tasking machines and multi-machine tasks Amar Kumar Behera      
Modelling Aircraft Fatigue Load Spectra and the Effect of Novel Aircraft Designs Adrian Murphy      
Polymer Nanocomposites for Cardiovascular stent applications Gary Menary      
Manipulating the chemistry and nanotopography of cultured diatoms for applications in tissue regeneration technologies. Fraser Buchanan      
CAE modelling for novel aircraft and engine integration Trevor Robinson      
Biohaviour: Novel geometric modelling methods for 3D printing bioinspired designs Trevor Robinson      
Multi-scale and multi-physics modelling of 3D-textile composites Zahur Ullah      
Fan Modelling for Aerodynamically Coupled Simulations Rob Watson      
Flux Reconstruction for Future High Accuracy Aerospace Design Tools Rob Watson      

          Interface formation in injection overmoulding of composite structures

Ali Aravand      
3D printed polymer nanocomposites  Dr. Oana Istrate       
Increasing Manufacturing Efficiency by Reducing Downtime through Advanced Data Analytics, Simulation, and Experimentation Dr. Danielle Soban      


 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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For more information please read our Equality and Diversity Policy.

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