Research Degree Scholarships in Computer Science

School of Computing and Engineering Scholarships

School of Computing and Engineering Scholarships are awarded for 25%, 50%, 75% or 100% of tuition fees for the standard registration period only.

Candidates must have a:

* First-class honours degree (or equivalent);
* Taught Master’s with distinction; or
* Master’s by Research with a recommendation from their supervisor from that time

If you are due to graduate in the current academic year, any offer will be conditional on your final degree outcome.

If your first language is not English, you will need to meet the minimum requirements of an English Language qualification. For a School of Computing and Engineering Scholarship, the minimum for IELTS is 6.5 overall (with no element lower than 5.5) or equivalent will be considered acceptable. Read more about the University’s entry requirements for students outside of the UK on our Where are you from information pages.

Reapplications for a scholarship within the School of Computing and Engineering following a previous unsuccessful application will not be considered.

ATLAS at CERN: Middleware as a Service (MWaaS) for High Energy Physics Experiments

Project Description: CERN is a European research organization whose primary function is to provide the particle accelerators and other infrastructure needed for high-energy physics research. ATLAS is the largest, general-purpose particle detector experiment at the LHC designed to observe phenomena that involve highly massive particles and to search for evidence of theories of particle physics beyond the Standard Model. The continuing programme of upgrades and consolidations to the LHC and the experiments at CERN has resulted in massively increased ICT demands in both storage and computational capacity as well as added complexity.

Middleware is a way to manage this complexity as it provides common services and capabilities to applications outside of the operating system including data management, application services, messaging, authentication, and API management. The success of integration PaaS (iPaaS) has led to the emergence of Middleware as a Service (MWaaS), which is a cohesive suite of integration services aimed at hybrid integration use cases, including service integration, API-led integration and API management, front-end and back-end integration, and application and data integration.

The Department of Computer Science at the University of Huddersfield is a Technical Associate Institute of the ATLAS project at CERN. We are offering a fully funded studentship in the Centre for Sustainable Software Engineering to investigate "Middleware as a Service (MWaaS) for High Energy Physics Experiments". The project will involve close collaboration with, and visits to, our ATLAS partners located at prestigious, globally distributed universities and research facilities, and there will be opportunities to spend time at CERN in Geneva.

Funding

This is a fully funded project with the cost of tuition fees and an annual bursary (£16,062) funded through the Department of Computer Science, University of Huddersfield.

Supervisors:

Dr Colin Venters (Main supervisor)

Dr Minsi Chen (Co-supervisor 1)

Prof Richard Hill (Co-supervisor 2)

Apply 

Project no. 2769

Apply Now: How to apply - University of Huddersfield

Start date: January 2023

Closing date: 21 October 2022

Compute Acceleration for Track Reconstruction and Event Filtering in ATLAS HLT

Computer Science at the University of Huddersfield are a Technical Associate Institute of the ATLAS project at CERN.  ATLAS is the largest experiment at CERN and is most well-known for the role it played in the discovery of the Higgs Boson.  As a part of the High Luminosity upgrade of the Large Hadron Collider (LHC) the ATLAS detector is also being upgraded which will require the processing of very high raw data rates (>5 TB/s) in order to identify events that could contain interesting physics that will then be stored for offline detailed analysis. 

We are offering a funded PhD studentship to work in this area of compute acceleration for the event filtering and track reconstruction of the ATLAS TDAQ (Trigger & Data AcQuisition) system. Track reconstruction consists of a chain of data and compute intensive stages including clusterisation and track fitting. This project aims to develop novel compute architecture using heterogeneous processors to increase the throughput of the tracking chain. Additionally, there are also opportunities to address the challenges from a combination of algorithms and hardware acceleration models.

This project will involve close collaboration with, and visits to, our ATLAS partners located at prestigious, globally distributed universities and research facilities, and there will be opportunities to spend time at CERN in Geneva.

Funding: This is a fully funded project with the cost of tuition fees and an annual bursary £16,062 funded through the Department of Computer Science, University of Huddersfield.

Supervisors:

Dr Minsi Chen (Main supervisor)

Dr Colin Venters (Co-supervisor 1)

Prof Richard Hill (Co-supervisor 2)

Apply 

Project no. 2784

Apply Now: How to apply - University of Huddersfield

Start date: January 2023

Closing date: 21 October 2022

Vice Chancellor’s Scholarships

A Vice Chancellor’s Scholarship covers 100% of the tuition fees for the standard registration period only.

Candidates must have graduated from the University of Huddersfield in the last three years with a:

• First-class honours degree;
• Taught Master’s with distinction; or
• Master’s by Research with a recommendation from their supervisor from that time

If you are due to graduate in the current academic year, any offer will be conditional on your final degree outcome.

Reapplications for a scholarship within the School of Computing and Engineering following a previous unsuccessful application will not be considered.

Smart House Scholarships

The Huddersfield Smart House Research Facility is looking to award four Smart House Scholarships to exceptional applicants.

Each Smart House Scholarship will provide a full tuition-fee waiver to the successful candidate.

The deadline for applications is Friday 11 June 2021 and interviews will take place on Thursday 1 and Friday 2 July 2021 

Applications for the following projects are eligible for consideration for a Smart House Scholarship:

• 3D sound field analysis and fault prediction in and out of the smart home environment
• A collaborative visual analytics platform for building improved quality smart buildings
• Adaptive music generation for the home
• Development of a Digital twin for online estimation of the biological environmental health indicators within confined inhabited spaces
• Development of energy efficient building regression models with sensing platform to predict the thermal comfort and indoor environment quality
• Hybrid rule-based and data-driven approaches to activity recognition in a smart home environment
• Improving quality of life in smart house using the internet of acoustic things
• In-bed smart sensor with deep learning for elderly home-care
• Integration of augmented reality and computational fluid dynamics tools for moisture-humidity identification and visualisation in indoor environments
• Multi-inhabitant activity recognition and indoor localisation in a smart home environment
• Numerical analysis of a desiccant-based dehumidification system employing membrane contactors
• Optimised energy management of near-zero-energy houses with high share of on-site renewable energy
• Optimising the processing of smart-house data across edge and central devices

If your first language is not English, you will need to meet the minimum requirements of an English Language qualification. The minimum for IELTS is 6.0 overall with no element lower than 5.5, or equivalent will be considered acceptable. Read more about the University’s entry requirements for students outside of the UK on our Where are you from information pages.