Explore The University of Warwick, a leading public research university in Coventry, England, known for its prestigious schools, extensive campus, and vibrant arts center. Established in 1965, it offers a diverse range of programs across its faculties of Arts, Science, Engineering, Medicine, and Social Sciences.
About The University of Warwick, England
The University of Warwick is a public research university located on the outskirts of Coventry, straddling the West Midlands and Warwickshire in England. Established in 1965 as part of a governmental initiative to expand higher education, the university has grown to become a prominent institution in the UK.
Key Developments and Facilities:
- Warwick Business School: Founded in 1967
- Warwick Law School: Established in 1968
- Warwick Manufacturing Group (WMG): Created in 1980
- Warwick Medical School: Opened in 2000
- Incorporated Coventry College of Education: 1979
- Horticulture Research International: Joined in 2004
Campus and Facilities:
- Main Campus: Spans 290 hectares (720 acres) on the outskirts of Coventry
- Satellite Campus: Located in Wellesbourne
- London Base: Situated at The Shard
Academic Organization:
- Faculties: Arts, Science Engineering and Medicine, and Social Sciences
- Departments: 32 within the three faculties
Student and Staff Statistics (as of 2019):
- Full-Time Students: Approximately 26,531
- Academic and Research Staff: 2,492
Financials (2017/18):
- Consolidated Income: £688.6 million
- Research Grants and Contracts: £126.5 million
Warwick Arts Centre:
- Largest Multi-Venue Arts Complex: Located on the main campus, it is the largest of its kind in the UK outside London.
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PhD Degree – Fully Funded
PhD Position Summary/Title: PhD in Modelling and Optimisation of Battery Electrode Slurry Preparation Process by Extrusion
The need for energy storage and electric transportation like cars, planes, and bikes is growing. This makes battery production very important. Battery makers need better ways to ensure their products are high quality and efficient.
Mixing is the first step in making batteries. How we mix the materials can affect the final product. Extrusion mixing uses less solvent than traditional methods, making it better for the environment and allowing for continuous mixing and quality control.
The challenge is that the extrusion process in battery production is new and complex. This PhD research aims to understand how different factors in the extrusion process (like feed rate, temperature, and pressure) and equipment design (like screw configuration and size) impact the final battery characteristics.
Deadline: Open until filled
(02) PhD Position Summary/Title:
Thermal Route Optimization of Predictive Controls to Improve BEV Efficiency Using AI & ML
Route information has significantly improved hybrid vehicle efficiency by choosing the best power source for different parts of a journey. It is also used for eco-coaching to enhance fuel efficiency. However, the potential of using route data to optimize energy consumption in Battery Electric Vehicles (BEVs) has not been fully explored. This project will use route-specific data, including vehicle speed, traffic, and weather, to enhance BEV thermal management.
The project will address the following challenges:
- Utilizing Route Information & e-Horizon Integration: Exploring ways to optimize thermal management systems for better range, efficiency, and passenger comfort.
- Applying AI & ML: Investigating how AI and ML techniques can adapt thermal management settings based on varying route conditions.
- Implementing Hierarchical Control: Developing strategies for multi-level thermal management systems to regulate temperature and energy use effectively.
Deadline: Open until filled
(03) PhD Position Summary/Title:
PhD in 3D-Printed Proprioceptive Materials with Integrated Active Feedback Systems for Real-Time Shape Optimization
This PhD research aims to design, create, and test proprioceptive materials with active feedback systems for real-time shape optimization in defense applications. The project will use 3D printing to develop a device with shape memory alloys and electroactive polymers as proprioceptive materials. These materials will include sensors to form a strong, integrated system.
Shape optimization will be achieved through a closed-loop feedback system that uses advanced algorithms to interpret sensor data and adjust the material’s shape. This approach will offer precise control over the material’s properties, enabling the creation of complex and multifunctional structures.
Deadline: Open until filled
(04) PhD Position Summary/Title:
Thermal Route Optimization of Predictive Controls to Improve BEV Efficiency Using AI & ML
Route information has improved hybrid vehicle propulsion by determining the most efficient power source for different journey segments. It’s commonly used for eco-coaching to enhance fuel efficiency. However, the use of route data to optimize energy consumption in Battery Electric Vehicles (BEVs) is less explored. This project aims to enhance BEV thermal management using route-specific data, including factors like vehicle speed, V2X, traffic, and weather.
The project will tackle the following challenges:
- Utilizing Route Information & e-Horizon Integration: Exploring methods to improve thermal management systems for better range, efficiency, and passenger comfort.
- Applying AI & ML: Investigating how AI and ML can learn and adapt thermal management settings based on route conditions.
- Implementing Hierarchical Control: Developing hierarchical control strategies for multi-level thermal management systems to manage temperature and energy use effectively.
Deadline: Open until filled
(05) PhD Position Summary/Title:
PhD in Advanced Battery Design for Future Electric Vehicles
While much progress has been made in understanding lithium-ion batteries, less focus has been on the broader engineering challenges of battery design and manufacturing. This PhD aims to address new battery design needs for future electric vehicles (EVs) and aircraft.
The project’s goals include:
- Creating a Vision for Future EV Requirements: Developing new battery concepts that address sustainability, performance, safety, and cost.
- Improving Understanding of Battery Mechanics: Finding new methods to understand battery expansion, heat dissipation, and mechanical loading.
- Enhancing Product Safety: Designing methods to improve safety at both the battery and vehicle level.
Deadline: Open until filled
(06) PhD Position Summary/Title:
PhD in Advanced Characterisation of Large Format Lithium-Ion Battery Failures
WMG and Jaguar Land Rover have been researching battery safety for over a decade, focusing on new methods for battery failure testing using lasers and sensors. This PhD will explore new ways to measure and understand battery failures in larger battery formats suitable for future electric vehicles.
The project’s aims include:
- Measuring Internal Battery States: Evaluating methods to measure temperature, gas pressure, and gas composition in larger battery concepts.
- Exploring Failure Initiation Methods: Using novel techniques like lasers to induce different battery failure modes beyond conventional methods.
Deadline: Open until filled
(07) PhD Position Summary/Title:
PhD in Advanced Battery Design for Future Electric Vehicles
Significant progress has been made in understanding lithium-ion batteries, but the broader engineering challenges in battery design and manufacturability have not been fully addressed. This PhD aims to tackle these challenges and develop new battery systems for future electric vehicles (EVs) and aircraft. WMG and Jaguar Land Rover see substantial opportunities for innovation in battery concepts to enhance performance and sustainability.
The project aims to:
- Create a Vision for Future EV Requirements: Develop new battery concepts that meet future needs for sustainability, performance, safety, and cost.
- Improve Understanding of Battery Mechanics: Devise new methods to understand battery expansion, heat dissipation, and mechanical loading.
- Enhance Product Safety: Design methods to increase safety at both the battery and vehicle level.
Deadline: Open until filled
(08) PhD Position Summary/Title:
PhD in Advanced Characterisation of Large Format Lithium-Ion Battery Failures
WMG and Jaguar Land Rover have been researching battery safety for over 10 years, focusing on novel methods for failure testing using lasers and sensors. This PhD project will explore new ways to measure and understand battery failures in larger battery formats suitable for future electric vehicles.
The project will:
- Evaluate Internal Battery Measurements: Assess the feasibility of measuring temperature, gas pressure, and gas composition in large battery concepts.
- Explore Novel Failure Methods: Use advanced techniques, such as lasers, to induce and study various battery failure modes beyond conventional methods.
Deadline: Open until filled
(09) PhD Position Summary/Title:
PhD in Behaviours of Nitrogen in the Future Green Steelmaking Routes
This PhD opportunity is part of the Warwick Industrial Fellowship funded project sponsored by Tata Steel in the Netherlands. Tata Steel aims to cut CO2 emissions by 35-40% by 2030 and achieve CO2 neutrality by 2045 using hydrogen and renewable electricity for green steelmaking. This project seeks to understand nitrogen behavior in future steelmaking processes to support the steel industry’s decarbonization efforts.
The project will focus on:
- Understanding Nitrogen Behaviour: Study how nitrogen behaves in new steelmaking routes compared to traditional methods.
- Addressing Technical Challenges: Explore how alternative materials and processes impact nitrogen content and steel quality.
Deadline: Open until filled
(10) PhD Position Summary/Title:
PhD in Behaviours of Nitrogen in the Future Green Steelmaking Routes
An enthusiastic individual is invited to join the Warwick Industrial Fellowship funded project sponsored by Tata Steel in the Netherlands. The project focuses on the adoption of hydrogen and renewable electricity in green steelmaking to reduce CO2 emissions. It aims to develop fundamental knowledge about nitrogen behavior in future steelmaking scenarios to support decarbonization.
The project will address:
- Nitrogen Behaviour in Steelmaking: Investigate the impact of new steelmaking routes on nitrogen levels and steel quality.
- Overcoming Technical Barriers: Examine how alternative metallic charges affect the thermodynamics and kinetics of nitrogen in green steelmaking.
Deadline: Open until filled
(11) PhD Position Summary/Title:
PhD in Verification and Validation of Safe Generative AI in Automotive
As autonomous vehicles (AVs) advance from laboratories and test tracks to public roads, ensuring their safety is crucial. The Cruise AV incident in October 2023 highlights the need for robust safety measures. This project explores the use of Generative AI (GAI) to generate synthetic data for training and testing AV perception systems. Ensuring the responsible use of GAI in these safety-critical systems is a key focus.
The project will address:
- Effectiveness of GAI Models: Evaluate how well GAI models generate data for AV training and testing, focusing on properties like robustness, explainability, fairness, privacy, and security.
- Defining and Measuring Properties: Develop clear definitions and metrics for these properties to assess GAI model performance.
- Benchmark Creation and Case Studies: Establish benchmarks and conduct case studies to validate and refine GAI models for ethical and effective use in AV technologies.
Deadline: Open until filled
(12) PhD Position Summary/Title:
PhD in Tomography-Based Structural Simulation for Hybrid Architecture Carbon Fibre Composites
Carbon fibre-reinforced composites are known for their excellent strength-to-weight ratio, making them suitable for various structural applications. This project aims to develop an image analysis tool for quantifying fibre orientation and content in hybrid architecture carbon fibre composites using X-ray computed tomography (XCT). The goal is to link the material’s meso-structure to its mechanical properties and create structural simulation models.
The project will focus on:
- Image Analysis Tool Development: Create tools to analyze fibre orientation and content distributions from XCT data.
- Structural Simulation Models: Develop models that connect the material’s structure to its mechanical properties.
Deadline: Open until filled
(13) PhD Position Summary/Title:
PhD in Verification and Validation of Safe Generative AI in Automotive
This project continues to explore the safe use of Generative AI (GAI) in autonomous vehicles, focusing on generating synthetic data for AV perception systems. The goal is to ensure GAI models meet high standards of robustness, explainability, fairness, privacy, and security.
The project will include:
- Evaluating GAI Effectiveness: Assess how GAI models perform in generating training data for AVs.
- Defining Metrics: Establish clear metrics for assessing key properties of GAI models.
- Benchmarking and Case Studies: Develop benchmarks and conduct case studies to validate GAI models for safe and responsible use in AVs.
Deadline: Open until filled
(14) PhD Position Summary/Title:
PhD in Plastics Analysis, Sorting & Recycling Technologies Through Intelligent Classification
The challenge of sustainable plastic disposal continues, with accurate sorting and high-quality recyclate production being key goals. This project will develop AI and machine learning solutions for sorting plastics, focusing on using multiple data sources to enhance performance.
The project aims to:
- Develop AI Solutions: Create practical solutions for plastic sorting using deep learning and other AI methods.
- Improve Sorting Performance: Utilize various data sources like IR, Raman, and LIBS to improve sorting efficiency.
Deadline: Open until filled
(15) PhD Position Summary/Title:
PhD in Tomography-Based Structural Simulation for Hybrid Architecture Carbon Fibre Composites
This project aims to advance the use of carbon fibre composites in structural applications by developing tools for analyzing and simulating these materials. It focuses on quantifying fibre orientation and content using X-ray computed tomography (XCT) and linking these factors to mechanical properties.
The project will include:
- Developing Analysis Tools: Create tools for quantifying fibre orientation and content from XCT data.
- Creating Structural Models: Develop simulation models that connect the material’s meso-structure to its mechanical properties.
Deadline: Open until filled
(16) PhD Position Summary/Title:
PhD in Digital Solutions for Optimizing the Hydrogen Supply Chain
This research project focuses on overcoming challenges within the hydrogen supply chain by developing digital solutions and digital twins. The project will explore hydrogen production, storage, transportation, distribution, and consumption across various applications, including industrial use, transportation, residential heating, and power generation. Key goals include:
- Identifying Challenges and Opportunities: Analyze critical supply chain components to enhance efficiency and reduce costs.
- Developing Digital Solutions: Create digital twins for comprehensive modeling and simulation.
- Improving Efficiency and Sustainability: Use digital solutions to improve the hydrogen supply chain’s reliability and sustainability.
Deadline: Open until filled
(17) PhD Position Summary/Title:
PhD in Plastics Analysis, Sorting & Recycling Technologies Through Intelligent Classification
This project addresses the challenge of sustainable plastic disposal by developing AI and machine learning solutions for accurate sorting and high-quality recyclate production. The research will focus on:
- Developing AI Solutions: Implement deep learning methods for plastic sorting.
- Improving Sorting Performance: Utilize multiple data sources like IR, Raman, and LIBS to enhance sorting efficiency.
Deadline: Open until filled
(18) PhD Position Summary/Title:
PhD in Strategies for Achieving Net Zero Supply Chain Emissions
The project seeks to address the challenge of reducing Scope 3 supply chain emissions, which often make up a significant portion of a company’s carbon footprint. The research aims to:
- Develop Data-Driven Strategies: Create strategies for mitigating supply chain emissions.
- Foster Collaboration and Transparency: Enhance collaboration among supply chain partners to support net-zero targets.
- Enable Evidence-Based Decision-Making: Develop strategies to help companies make informed decisions towards reducing supply chain emissions.
Deadline: Open until filled
(19) PhD Position Summary/Title:
PhD in Digital Solutions for Optimizing the Hydrogen Supply Chain
This project focuses on developing digital solutions and digital twins for the hydrogen supply chain. It will address hydrogen production, storage, transportation, distribution, and consumption, aiming to:
- Understand Supply Chain Needs: Analyze requirements and identify challenges.
- Develop Digital Twins: Create digital twins for modeling and scenario analysis.
- Enhance Efficiency and Sustainability: Improve the hydrogen supply chain’s efficiency and sustainability.
Deadline: Open until filled
(20) PhD Position Summary/Title:
PhD in Novel Electrical Steel Development for High Performing E-Machines
The project focuses on developing a new grade of electrical steel with superior properties for use in e-machines. The goals are to:
- Develop Improved Electrical Steels: Enhance electrical steel properties to improve e-machine efficiency.
- Optimize Composition and Processing: Understand composition-processing-property performance and explore manufacturing using commercial routes.
- Facilitate Motor Efficiency Improvements: Enhance battery range and motor efficiency with the new steel grade.
Deadline: Open until filled
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