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Fuels, chemicals and materials, collectively known as commodity products, are the building blocks of modern industry and economy thanks to their extensive use in manufacturing myriad consumer products. Since almost all these commodities are currently being produced from petroleum or petroleum-derived feedstocks, they are mainly known as petrochemicals. Production of these commodity products from petroleum is not only unsustainable (due to continuous depletion of petroleum resources) but also damaging to the environment (due to the resulting emission of direct and indirect harmful greenhouse gases (GHGs), including CO2, CO, and CH4. Thus, biological conversion of harmful GHGs into high-value bio-commodities by using them as feedstocks can simultaneously address the challenges of both carbon neutral/ NetZero commodity manufacture and harmful GHG emissions to counteract global warming and climate change. However, biological production of commodities from GHGs is significantly challenging due to the requirement of bespoke designer cell factories to convert gases into commodities of interest. This interdisciplinary project, aims to address this challenge by developing designer cell factories through engineering bespoke biochemical pathways into gas-fermenting bacteria. The pathways will be developed through the application of AI-assisted, state-of-the-art machine learning and cheminformatics algorithms, followed by their experimental implementation and optimisation in designer cell factories. These objectives will be achieved through the implementation of both computational and experimental approaches in computational biology, systems biology, synthetic biology and metabolic engineering. This project provides an excellent opportunity to work with multidisciplinary research groups within the Chemical Engineering Department at Loughborough University. You will be joining a vibrant and multidisciplinary research community, focusing on tackling some of the most pressing and demanding societal challenges related to sustainability, environment and human health through harnessing the power of machine learning, systems biology, synthetic biology, and metabolic engineering.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Fuels, chemicals and materials, collectively known as commodity products, are the building blocks of modern industry and economy thanks to their extensive use in manufacturing myriad consumer products. Since almost all these commodities are currently being produced from petroleum or petroleum-derived feedstocks, they are mainly known as petrochemicals. Production of these commodity products from petroleum is not only unsustainable (due to continuous depletion of petroleum resources) but also damaging to the environment (due to the resulting emission of direct and indirect harmful greenhouse gases (GHGs), including CO2, CO, and CH4. Thus, biological conversion of harmful GHGs into high-value bio-commodities by using them as feedstocks can simultaneously address the challenges of both carbon neutral/ NetZero commodity manufacture and harmful GHG emissions to counteract global warming and climate change. However, biological production of commodities from GHGs is significantly challenging due to the requirement of bespoke designer cell factories to convert gases into commodities of interest. This interdisciplinary project, aims to address this challenge by developing designer cell factories through engineering bespoke biochemical pathways into gas-fermenting bacteria. The pathways will be developed through the application of AI-assisted, state-of-the-art machine learning and cheminformatics algorithms, followed by their experimental implementation and optimisation in designer cell factories. These objectives will be achieved through the implementation of both computational and experimental approaches in computational biology, systems biology, synthetic biology and metabolic engineering. This project provides an excellent opportunity to work with multidisciplinary research groups within the Chemical Engineering Department at Loughborough University. You will be joining a vibrant and multidisciplinary research community, focusing on tackling some of the most pressing and demanding societal challenges related to sustainability, environment and human health through harnessing the power of machine learning, systems biology, synthetic biology, and metabolic engineering.
Admission Requirements
3.2+
6.5+
92+
Applicants will normally need to hold, or expect to gain, at least a 2:1 undergraduate degree (or UK equivalent) in Chemical Engineering, Bioengineering, Biotechnology, Bioinformatics, Computational Biology, Microbiology, Systems Biology, Synthetic Biology, or an appropriate Master’s degree.
10 Feb 2025
3 Years
Oct
International
28,600
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
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Artificial Intelligence-Assisted Modular Metabolic Engineering for Netzero Commodity Manufacture PhD
Loughborough University, Loughborough, United Kingdom
36 monthsProgramme duration
28,600 Tuition Fee/year
10 Feb, 2025Application Deadline
Data Science and Artificial IntelligenceMain Subject Area
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Thus, biological conversion of harmful GHGs into high-value bio-commodities by using them as feedstocks can simultaneously address the challenges of both carbon neutral/ NetZero commodity manufacture and harmful GHG emissions to counteract global warming and climate change. However, biological production of commodities from GHGs is significantly challenging due to the requirement of bespoke designer cell factories to convert gases into commodities of interest. This interdisciplinary project, aims to address this challenge by developing designer cell factories through engineering bespoke biochemical pathways into gas-fermenting bacteria.
The pathways will be developed through the application of AI-assisted, state-of-the-art machine learning and cheminformatics algorithms, followed by their experimental implementation and optimisation in designer cell factories. These objectives will be achieved through the implementation of both computational and experimental approaches in computational biology, systems biology, synthetic biology and metabolic engineering.
This project provides an excellent opportunity to work with multidisciplinary research groups within the Chemical Engineering Department at Loughborough University. You will be joining a vibrant and multidisciplinary research community, focusing on tackling some of the most pressing and demanding societal challenges related to sustainability, environment and human health through harnessing the power of machine learning, systems biology, synthetic biology, and metabolic engineering.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Thus, biological conversion of harmful GHGs into high-value bio-commodities by using them as feedstocks can simultaneously address the challenges of both carbon neutral/ NetZero commodity manufacture and harmful GHG emissions to counteract global warming and climate change. However, biological production of commodities from GHGs is significantly challenging due to the requirement of bespoke designer cell factories to convert gases into commodities of interest. This interdisciplinary project, aims to address this challenge by developing designer cell factories through engineering bespoke biochemical pathways into gas-fermenting bacteria.
The pathways will be developed through the application of AI-assisted, state-of-the-art machine learning and cheminformatics algorithms, followed by their experimental implementation and optimisation in designer cell factories. These objectives will be achieved through the implementation of both computational and experimental approaches in computational biology, systems biology, synthetic biology and metabolic engineering.
This project provides an excellent opportunity to work with multidisciplinary research groups within the Chemical Engineering Department at Loughborough University. You will be joining a vibrant and multidisciplinary research community, focusing on tackling some of the most pressing and demanding societal challenges related to sustainability, environment and human health through harnessing the power of machine learning, systems biology, synthetic biology, and metabolic engineering.
Admission Requirements
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
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Building Community Climate Resilience with Large Language Models and Remote Sensing PhD
CSC PhD Studentship in Exploring Advanced Materials for Wearable Sensors PhD
Catalytic And Adsorption Properties Of Polymeric Silver And Zinc Oxide Stabilized Nanocomposites Decorated On Reduced Graphene Oxide PhD
Cell Mechanics and Tumour Growth PhD
Cellular Automaton to Model Rapid Crystal Growth and Recrystallisation PhD
Cognitive Monitoring of Human Operators using Multi-modal Artificial Intelligence PhD
Continuous Manufacturing Of Nano-Assemblies For Mrna Based Therapies And Vaccines: From Batch To Industry Scale PhD
Countering Cyberattacks in Autonomous Vehicles PhD
Cryptographic Primitives for Symmetric Cryptography PhD
Crystallisation with 3D Printing Template and Hydrogel Templates PhD
Data and AI Powered Turbulence Modelling for Fusion Energy Cooling Flows PhD
Design and fabrication Custom Foot Orthotics PhD
Design of Programmable Mechanical Metamaterials PhD
Developing Diffusion Models for Electric Vehicle: Spatial-temporal analysis and Policy Evaluation PhD
Developing Natural Surfactants from Biomass for Industrial Applications PhD
Development of New Digital Technologies and Generative Artificial Intelligence Tools For The Next Generation Green-By-Design and Sustainable Pharmaceuticals PhD
Development of Robust Wall Modelling for Practical Aerodynamic High Fidelity Prediction Phd
Dynamic Deformation, Damage and Fracture Of Composites PhD
Energy Efficiency Optimisation of Electric Vehicles In Dynamic Driving Scenarios PhD
Engineering New Materials for Solid-State Cooling Phd
Enhancing Human-Robot Interaction: Leveraging Artificial Intelligence for Emotional Intelligence in Robotics PhD
Unveiling Molecular Mechanisms of the Beneficial Impact of Exercise on Cancer Metabolism PhD
Using the Metabolome to Study Aging and Geroprotectors in 3D Cell Models PhD
Visual Data Mining on Proteins and Biomedicine Crystallisation PhD
Waste-derived Bioplastics for a Circular and Sustainable Food Packaging Economy PhD
Life Sciences and Medicine (6)
Adaptive and Predictive Computational Modelling of Biomaterials: A Digital Twin Framework for Next-Generation Personalised Healthcare PhD
Adaptive and Predictive Computational Modelling of Biomaterials: A Digital Twin Framework for Next-Generation Personalised Healthcare PhD
Biomarkers of Aging PhD
Biomarkers of Aging PhD
Developing Prescription Guidelines for Passive Heat Therapy PhD
Developing Prescription Guidelines for Passive Heat Therapy PhD
Does Socialised Real-Life Body Exposure Promote Body Image Positivity PhD
Does Socialised Real-Life Body Exposure Promote Body Image Positivity PhD
Energy Dissipation In Human Soft Tissue During Impacts PhD
Energy Dissipation In Human Soft Tissue During Impacts PhD
Natural Sciences (6)
Accelerated Screening and Synthesis of New Chemotherapeutic Agents for Pancreatic Cancer PhD
Accelerated Screening and Synthesis of New Chemotherapeutic Agents for Pancreatic Cancer PhD
Bespoke Organometallic Compounds for Anticancer Studies PhD
Bespoke Organometallic Compounds for Anticancer Studies PhD
Bio-based Sustainable Materials for Autonomous Thermal Management in Wearables PhD
Bio-based Sustainable Materials for Autonomous Thermal Management in Wearables PhD
Biomimmetic Catalytic Asymmetric Synthesis of the Bisorbicillinoids and Related Products PhD
Biomimmetic Catalytic Asymmetric Synthesis of the Bisorbicillinoids and Related Products PhD
Climate and Ecological Transitions Hub Studentship PhD
Climate and Ecological Transitions Hub Studentship PhD
Coherent State Methods in Spectral Asymptotics PhD
Coherent State Methods in Spectral Asymptotics PhD
Computational Modelling of Sustainable Alloys PhD
Designing Classroom Tasks To Improve Students’ Learning Of Mathematics PhD
Developing Novel Antibiofilm Coatings for Sustainable Biofilm-Free Surfaces PhD
Development of Hybrid Microcomb Sources with Topologically Protected Dark Resonances for Simultaneous Classical and Quantum PhD
Development of Novel Bicyclopentanes (BCP) Bioisosteres From Bench Stable [1.1.1]-Propellane Precursors PhD
Digital Twins for Biofilm Management PhD
Dispersionless Integrable Systems In 2+1 Dimensions PhD
Social Sciences and Management (6)
An Evaluation of Erasmus+ Sport Projects and Their Impact on EU Sport Policy Development PhD
An Evaluation of Erasmus+ Sport Projects and Their Impact on EU Sport Policy Development PhD
Climate Change, Work Design and Worker Wellbeing Phd
Climate Change, Work Design and Worker Wellbeing Phd
Communication and Social Change (CSC) Hub Studentship PhD
Communication and Social Change (CSC) Hub Studentship PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD