Chemical Engineering
Developing renewable energy solutions that can be rapidly implemented in the market using eco-friendly materials and manufacturing methods is crucial. Among various renewable technologies, photovoltaics have significant potential to support climate change mitigation. Organic photovoltaics (OPVs) have recently attracted considerable attention due to a new family of semiconductors that enable highly efficient light harvesting in both indoor and outdoor environments. Additionally, OPVs offer a low carbon footprint and high recyclability potential.
However, a current limitation is the use of toxic solvents and materials in manufacturing. Most organic electronic devices require halogenated and non-halogenated aromatic solvents, which are often carcinogenic or toxic to human reproductive systems and harm the environment. For large-scale production and commercialization, this is a critical issue.
This project aims to enhance the performance of OPVs through engineering strategies, eliminate the use of toxic materials and implement methods to enhance their stability. In addition, thin films and OPVs will be evaluated with a series of optoelectronic and morphological characterisation tools.
The PhD candidate will be supervised by Dr Julianna Panidi (School of Engineering) and Dr Yue Hu (School of Chemistry).
The successful candidates will join our team, which includes researchers from the Centre for Electronics Frontiers, the Institute for Integrated Micro and Nano Systems, the School of Chemistry, and the wider College of Science and Engineering.
Before you apply: We strongly recommend that you contact the supervisor for this project before you apply.
Minimum entry qualification - an Honours degree at 2:1 or above (or International equivalent) in a relevant science or engineering discipline, possibly supported by an MSc Degree. Further information on English language requirements for EU/Overseas applicants.
Tuition fees + stipend are available for Home/EU and International students
The use of lipid nanoparticles (LNPs) as delivery systems has revolutionized biomedical applications, particularly in immunotherapy. LNPs can encapsulate and deliver therapeutic agents such as nucleic acids, proteins, and small molecules, enabling targeted treatment of diseases including cancer, autoimmune disorders, and infectious diseases. This PhD project, based at the forefront of immunotherapy research, aims to develop and optimize lipid nanoparticles to enhance their effectiveness as carriers for immunotherapeutic agents, improving immune responses and treatment outcomes.
The key objectives of this research include:
- Designing and Engineering Lipid Nanoparticles: You will develop innovative strategies to engineer lipid nanoparticles with improved stability, biocompatibility, and enhanced delivery capabilities. This includes optimizing the lipid composition, particle size, and surface properties to achieve optimal cellular uptake and targeted delivery to immune cells.
- Encapsulation of Immunotherapeutic Agents: The project will focus on formulating lipid nanoparticles for the encapsulation and controlled release of immunotherapeutic agents such as mRNA vaccines, cytokines, and immune modulators. You will explore novel methods for improving the loading efficiency and bioactivity of these agents.
- Evaluating Immune Response and Efficacy: The candidate will conduct preclinical studies to evaluate the immunomodulatory effects of the lipid nanoparticle formulations, assessing their ability to activate immune cells, stimulate desired immune responses, and enhance the therapeutic efficacy of the treatment in various disease models.
- In Vitro and In Vivo Evaluation: You will assess the safety, stability, and pharmacokinetics of the lipid nanoparticles in both in vitro cell culture systems and in vivo animal models. A focus will be placed on the nanoparticles' ability to trigger potent immune responses without causing adverse side effects.
We are seeking a highly motivated PhD candidate with a background in pharmaceutical sciences, nanotechnology, chemical engineering, or related fields. Experience in nanoparticle formulation, drug delivery systems, or immunology is highly desirable. The ideal candidate will be driven to advance immunotherapy technologies with the potential to make a significant impact on cancer treatment and beyond. Other types of nanoparticles may be considered as well if with unique advantages.
Join us at the cutting edge of immunotherapy research and contribute to the development of next-generation therapeutic systems with transformative potential.
Entry requirement: minimum entry qualification – an Honours degree at 2:1 or above (or international equivalent) in chemical engineering, chemistry, materials science, biomedical engineering, or cell biology.
Further information on English language requirements for EU/Overseas applicants.
Applications are welcomed from self-funded students, or students who are applying for scholarships from the University of Edinburgh or elsewhere
Microfluidic devices are transforming the landscape of disease diagnosis by offering high sensitivity and rapid results. These devices hold immense potential for a wide range of applications, including the swift identification of bacterial infections in patients' biological samples. The ability to quickly detect pathogens allows doctors to prescribe the appropriate antibiotics at the right time, improving treatment outcomes and helping combat the growing problem of antibiotic overuse. Another exciting area of microfluidics is the use of organ-on-a-chip designs, which can revolutionize cancer diagnosis by enabling more precise and personalized medical assessments.
This groundbreaking project, led by the Institute for Bioengineering at the University of Edinburgh, aims to develop innovative microfluidic platforms that enable efficient, rapid, and accurate diagnostics. The research will also explore the integration of Artificial Intelligence (AI) to optimize the design of microfluidic devices, enhancing their performance and streamlining the diagnostic process. By combining cutting-edge technology with advanced materials science, the project will push the boundaries of medical diagnostics and help shape the future of healthcare.
We are now seeking a highly motivated and talented candidate to undertake this exciting research as part of a dynamic team. The ideal PhD candidate will have a strong background in chemical engineering, materials science, biology, or related fields, with hands-on experience in one or more of these areas. A passion for interdisciplinary research, problem-solving, and innovation is essential, as this project offers the opportunity to make a significant impact on the future of disease diagnostics and healthcare.
If you are driven by curiosity and eager to contribute to pioneering research, we invite you to apply for this PhD opportunity. Join us in advancing the field of microfluidic diagnostics and help us tackle some of the most pressing challenges in modern medicine.
Entry requirement: minimum entry qualification – an Honours degree at 2:1 or above (or international equivalent) in chemical engineering, chemistry, materials science, biomedical engineering, or cell biology.
Further information on English language requirements for EU/Overseas applicants.
Applications are welcomed from self-funded students, or students who are applying for scholarships from the University of Edinburgh or elsewhere
This PhD project aims to design heat integration strategies within multi-vector energy systems to enhance overall system flexibility and efficiency.
The route to net zero faces two main challenges: first, the increasing integration of non-dispatchable and variable renewable energy resources, such as wind and solar power, creates significant challenges for energy systems, notably in terms of maintaining reliability and balancing supply with demand; and, second, there is almost no progress and not even a credible roadmap for heat decarbonisation (low temperature space heating as well as high temperature industrial heat). By focusing on the thermal aspects of energy systems, and particularly on strategies for efficient heat integration, this research aims to provide novel solutions that enhance system stability and provide affordable and sustainable heat.
The project will investigate heat integration techniques across various levels of the energy system, including industrial processes, district heating networks, and residential heating solutions. Key areas of focus will include the integration of advanced thermal storage technologies, the utilisation of waste heat recovery, and the implementation of innovative heat pump technologies. This multi-scale approach ensures that the project addresses both high-grade industrial heat and low-grade residential heat requirements.
A significant component of the research will involve the development of mathematical models and simulation tools to evaluate potential heat integration scenarios. The models and tools will be built on existing open-source tools in the Institute for Energy Systems, commercials tools such as TRNSYS and open-source tools such as PyPSA. These tools will help in identifying optimal ways to deploy thermal energy storage and recovery, thus enabling better management of renewable generation variability. The methodologies developed will consider not only energy efficiency but also economic and environmental impacts, ensuring that the solutions are sustainable both technically and financially.
The candidate will develop a wide range of skills in simulation, optimisation, and data analysis which are widely applicable to future career development. Additionally, there are opportunities for engaging with an open and inclusive community of open-source energy system developers both within IES and globally.
Overall, this PhD project offers a comprehensive approach to enhancing system flexibility through heat integration, addressing critical challenges in the transition to a more sustainable and reliable energy future.
Minimum entry qualification - an Honours degree at 2:1 or above (or International equivalent) in a relevant science or engineering discipline, possibly supported by an MSc Degree. Further information on English language requirements for EU/Overseas applicants.
Essential background:
- 2.1 or above (or equivalent) in Engineering, Mathematics, Physics, Energy Engineering/Economics, Informatics, or similar
- Programming in Python, Julia or other high-level language
Desirable background:
- Energy system modelling and optimisation
- Data analysis, optimisation and/or machine learning
- Experience in thermal energy system modelling
Applications are welcomed from self-funded students, or students who are applying for scholarships from the University of Edinburgh or elsewhere
This PhD project delves into the dynamics of residential energy consumption, system flexibility, and employs the systems transition engineering processes (STEPs) to tackle energy poverty with novel utility network-to-end-use flexibility opportunities. The research is framed around the critical need to create resilient urban energy systems that not only adapt to fast-paced technological and environmental changes but also promote energy equity and efficiency.
In urban environments, residential areas are key consumers of energy and greatly influence the overall dynamics of urban energy flow. The primary aim of this research is to innovate, model and optimise the intake and distribution of energy in residential sectors and examine how these modifications can alleviate energy poverty, characterised by lack of access to reliable and affordable energy services. This involves understanding the specific energy needs of underserved populations and integrating solutions that ensure equitable energy distribution.
Transition engineering principles guide the project's approach, integrating systems thinking, predictive modelling, and simulation techniques to explore novel and practical engineering adjustments for improving system flexibility and reliability amid increasing green energy integration and fluctuating demand. Expertise will be gained in grid and network technology and commercial operations, and energy end uses—from heating and lighting to appliances and electronic devices. The project will assess initiatives like participatory demand-response technologies, energy-efficient retrofitting, integrated storage, and community energy systems.
Moving beyond technical analysis, the study will incorporate socioeconomic data to paint a more accurate picture of energy consumption patterns and barriers to energy access in various residential demographics. Simulation tools will evaluate how different interventions might impact energy affordability and reliability at the household level and their wider effects on the energy system's flexibility and sustainability.
Policy implications will also be a significant focus of this research. By identifying regulatory and institutional barriers to equitable energy distribution and system flexibility, the project aims to suggest robust policy measures that can support broad adoption of efficient and equitable energy solutions.
The expected contribution of this PhD project is pioneering energy transition shifts for adaptable, forward-thinking strategies that enhance energy system infrastructure in urban areas, ensuring that they are not only sustainable and flexible but also fair and responsive to the needs of all community members. The PhD candidate will have a Mechanical or Electric Power Engineering qualification, utility industry or energy systems engineering experience, aptitude for modelling, and passion for energy systems transition engineering. Candidates who are systems thinkers are preferred.
This PhD project is advertised as a part of the Edinburgh Research Partnership in Engineering, a joint partnership between the University of Edinburgh and Heriot-Watt University. The successful candidate will be supervised by a team consisting of academics from the University of Edinburgh and Heriot-Watt University.
Minimum entry qualification - an Honours degree at 2:1 or above (or International equivalent) in a relevant science or engineering discipline, possibly supported by an MSc Degree. Further information on English language requirements for EU/Overseas applicants.
Essential background:
- 2.1 or above (or equivalent) in Engineering, Mathematics, Physics, Energy Engineering/Economics, Informatics, or similar
- Programming in Python, Julia or other high-level language
Desirable background:
- Energy system modelling and optimisation
- Experience in energy systems transition engineering
- Data analysis, optimisation and/or machine learning
- Experience in energy system modelling
Applications are welcomed from self-funded students, or students who are applying for scholarships from the University of Edinburgh or elsewhere
Asphalt recycling gained prominence since the 1970s, partly initiated by the oil crisis influencing the availability of bitumen as binder material. Since then, recycled and reclaimed asphalt continued to be part of the mix used in road and pavements providing a cost effective and environmentally friendly option with a potential to decarbonising the industry. Recent examples of roads using recycled asphalt include: 50% recycled asphalt was used in paving a section of M25 between junctions 25 and 26 and a section of A388 Bournemouth Spur Road, Dorset was paved using all the old road materials.
Rolled asphalt pavement comprises of different courses primarily the wearing, binder, base, subbase and capping layer. The degree of compaction determines the stiffness and strength of material along with its resistance to deformation and durability of the mixture. Compaction of the asphalt along with the binder results from the operation of the paving/construction equipment to impart systematic static, shearing and vibrational loads to achieve the required properties of each of the aforementioned course. The pavement is expected to withstand the design traffic load.
In the drive towards net zero carbon emission, there is an urgent need to significantly increase the use of the 100% recyclable Recycled Asphalt Pavement (RAP) in pavement construction. This poses significant challenges in the design and optimisation of the production and construction processes for which this current project seeks to address. For instance, is it possible to better characterise the RAP in terms of material properties to provide a more accurate initial assessment of its recycling readiness? Is it possible to match to assess, based on the RAP's material characteristics and the prevailing loading regimes, whether it would meet the required highway standards?
The aim of the project is to develop a deeper understanding of the RAP pavement construction and establish an experimentally calibrated numerical model to predict the compaction mechanics of recycled asphalt pavements during construction as well as operational period. The model will integrate the mechanics at different length scales. Experimental programme will include time-resolved (4D) X-ray tomography to capture the micromechanics of the granular assembly.
This PhD project is advertised as a part of the Edinburgh Research Partnership in Engineering, a joint partnership between the University of Edinburgh and Heriot-Watt University. The successful candidate will be supervised by a team consisting of academics from the University of Edinburgh and Heriot Watt University (HWU). The Heriot-Watt University supervisor for this project will be Dr Elma Charalampidou. Some of the experiments involving micro x-ray CT system will be undertaken at HWU.
The selection process is in two phases:
Stage 1: Interested candidates should contact Dr Amer Syed at Amer.Syed@ed.ac.uk by 7 February 2025 with their CV and a covering email. Potential candidates will be invited to an interview. Selected candidate will progress to Stage 2.
Stage 2: Selected candidate will complete a formal application to the University of Edinburgh by 12 February 2025. This application will be assessed by a panel for funding. Please note that this studentship attracts enhanced stipend, while the exact details yet to be finalised, for 2024, it was £21,400 per annum.
Home and overseas students are encouraged to apply.
The University of Edinburgh is committed to equality of opportunity for all its staff and students, and promotes a culture of inclusivity. Please see details here: https://www.ed.ac.uk/equality-diversity
Minimum entry qualification - an Honours degree at 2:1 or above (or International equivalent) in a relevant science or engineering discipline, possibly supported by an MSc Degree. Further information on English language requirements for EU/Overseas applicants.
Tuition fees + stipend are available for Home/EU and International students.
From sandcastles to powder metallurgy, granular materials are ubiquitous in engineering and natural environment. Understanding their behaviour under a range of loading conditions is essential in ensuring the structural integrity of the granular system e.g., landslides, chemical/pharmaceutical applications such as compacted tablets, food processing etc.
The mechanical response of a granular assembly depends on the interaction of the individual grains. In most of the natural and engineering systems, this interaction is further complicated by the presence of fluids and temperature gradient resulting in convective mass transport. The thermomechanical behaviour of the granular assembly depends on the temperature/concentration gradient, viscosity of the fluid, variation in fluid saturation, compressibility of the fluid etc. The presence of fluid would also influence the relative motion of the particles, especially in case of particles with varying size and shapes, and directly contribute to the nature of compaction and flow of the granular assembly.
The aim of the project is to develop a deeper understanding of the mechanics of granular assemblies subjected to convective mass transport and to formulate a multiscale multiphysics model to predict the thermomechanical behaviour of granular assemblies. The model will be developed and calibrated using high quality experimental data acquired at multiple length scales. Custom designed experiments will be conducted in an x-ray CT environment to study the micromechanics of the underlying processes using time resolved x-ray tomography (in 4D).
There are four application areas for this project and the successful candidate would be able to select one of these areas.
Geological/geophysical application: Geothermal systems, particularly Enhanced Geothermal Systems where the energy from underground hot rock/fractured rock is used to generate electricity.
Steel production: Porous coke in the granular assembly of the blast furnace charge provides energy, heat and gas required to reduce the iron ore. Improved design of the granular assembly has potential to minimise the CO2 emission in the steel making process.
Recycled Asphalt Pavements: Reclaimed and recycled asphalt are used in road pavements providing a cost effective and environmentally friendly option with a potential in decarbonising the industry.
Powder bed fusion, a metal additive manufacturing technique: The nature of granular assembly of metal powder bed informs the quality of the finished product.
This PhD project is advertised as a part of the Edinburgh Research Partnership in Engineering, a joint partnership between the University of Edinburgh and Heriot-Watt University. The successful candidate will be supervised by a team consisting of academics from the University of Edinburgh and Heriot Watt University (HWU). The Heriot-Watt University supervisor for this project will be Dr Elma Charalampidou. Some of the experiments involving micro x-ray CT system will be undertaken at HWU.
The selection process is in two phases:
Stage 1: Interested candidates should contact Dr Amer Syed at Amer.Syed@ed.ac.uk by 7 February 2025 with their CV and a covering email. Potential candidates will be invited to an interview. Selected candidate will progress to Stage 2.
Stage 2: Selected candidate will complete a formal application to the University of Edinburgh by 12 February 2025. This application will be assessed by a panel for funding. Please note that this studentship attracts enhanced stipend, while the exact details are yet to be finalised, for 2024, it was £21,400 per annum.
Home and overseas students are encouraged to apply.
The University of Edinburgh is committed to equality of opportunity for all its staff and students, and promotes a culture of inclusivity. Please see details here: https://www.ed.ac.uk/equality-diversity
Minimum entry qualification - an Honours degree at 2:1 or above (or International equivalent) in a relevant science or engineering discipline, possibly supported by an MSc Degree. Further information on English language requirements for EU/Overseas applicants.
Tuition fees + stipend are available for Home/EU and International students.
The importance of clustering, or microphase separation, is increasingly recognized, with applications in many technologies including nanomaterials and pharmaceutical crystallization. It is also important in nature; for example the membraneless organelles within biological cells. However, the mechanisms leading to such clusters are not completely understood.
This project aims to improve understanding of microphase separation in complex coacervates. These particular clusters, or microphases, are formed by, for example, mixtures of oppositely charged polyelectrolytes and might also describe some membraneless organelles.
To this end, the successful candidate will develop thermodynamic models of equilibrium clustering in binary mixtures with competing short-range and long-range interactions. The aim is to model and understand the link between particle interactions and microphase separation in complex coacervates.
It is expected that the applicant will have a good degree in Engineering, Physics, Chemistry, Mathematics, or any other related subject. We are particularly keen to hear from applicants who want to develop expertise in molecular theories of fluids. Prior experience in this area is useful but not a requirement.
The successful student, depending on eligibility, will have opportunities for teaching and further training with in the university, as well as participation in the intellectual community provided by the School of Engineering’s Institute for Materials and Processes, in which they will be based.
The University of Edinburgh is committed to equality of opportunity for all its staff and students, and promotes a culture of inclusivity: https://www.ed.ac.uk/equality-diversity
Minimum entry qualification - an Honours degree at 2:1 or above (or International equivalent) in Engineering, Physics, Chemistry, Mathematics, or any other related subject possibly supported by an MSc Degree. Prior experience in molecular theories of fluids is useful but not a requirement.
Further information on English language requirements for EU/Overseas applicants.
Applications are welcomed from self-funded students, or students who are applying for scholarships from the University of Edinburgh or elsewhere.