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- Tasks: Use machine learning to accelerate electronic transport calculations for complex materials.
- Company: University of Warwick's HetSys Centre for Doctoral Training.
- Benefits: Fully funded PhD, tax-free stipend, and research training budget.
- Why this job: Make a real impact on global challenges through advanced modelling and simulation.
- Qualifications: Strong background in science, engineering, or mathematics.
- Other info: Collaborative environment with leading researchers and industry partners.
The predicted salary is between 21805 - 21805 £ per year.
About the project: Machine learning accelerated electronic transport calculations for complex materials. Supervisor: Prof. Neophytos Neophytou, University of Warwick.
Advancements in materials synthesis have allowed the realization of many novel materials and their alloys, which are gradually finding their ways into numerous applications including energy, sustainability, medicine, novel computation, etc. A major direction of interest is their electronic properties, which are the major driver behind many applications. However, the accurate assessment and prediction of electronic transport is a highly challenging task.
The project uses Machine Learning (ML), in combination with DFT and state-of-the-art Boltzmann transport methods, to predict, accelerate, and scale the computation of electronic properties of complex materials and their alloys. These are materials with multiple bands of different nature in their electronic structures, formed with elements across the periodic table. The richness of experimental data from literature and project partners will aid towards model validation.
About HetSys: HetSys (Centre for Doctoral Training in Modelling of Heterogeneous Systems) at the University of Warwick is an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges of our time.
- Big Questions, Real Impact – From climate modelling and sustainable energy to advanced materials and biomedical systems, HetSys projects apply cutting‑edge computational and mathematical techniques to problems with global significance.
- Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile skills that open doors to both academia and industry.
- Collaborative Environment – Work alongside leading researchers and industry partners in a supportive, vibrant community that values curiosity, creativity, and collaboration.
- Future‑Focused Careers – HetSys graduates are equipped with highly sought‑after skills in modelling, simulation, and data science, preparing them for impactful careers in research, technology, and beyond.
If you’re excited by the idea of using advanced modelling and simulation to solve complex, real‑world problems, HetSys offers the perfect environment to push boundaries and make a difference.
Awards for UK applicants cover full University fees, give a research training budget and a tax-free stipend to cover living costs (standard UKRI rate £21,805 in 26/27 - equivalent to national living wage).
PhD Studentship: Machine learning accelerated electronic transport calculations for complex mat[...] in Coventry employer: University of Warwick
Contact Detail:
University of Warwick Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PhD Studentship: Machine learning accelerated electronic transport calculations for complex mat[...] in Coventry
✨Tip Number 1
Network like a pro! Reach out to current PhD students or alumni from the HetSys programme. They can give you insider info on what the supervisors are really looking for and might even put in a good word for you.
✨Tip Number 2
Prepare for your interview by diving deep into the latest research in machine learning and electronic transport calculations. Show us that you're not just passionate but also knowledgeable about the field!
✨Tip Number 3
Don’t forget to showcase your interdisciplinary skills! Highlight any experience you have in physics, engineering, or computer science. We love candidates who can bridge gaps between different fields.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re always on the lookout for enthusiastic candidates ready to tackle real-world problems.
We think you need these skills to ace PhD Studentship: Machine learning accelerated electronic transport calculations for complex mat[...] in Coventry
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight how your skills and experiences align with the project. We want to see your passion for machine learning and electronic properties, so don’t hold back!
Showcase Relevant Experience: Include any relevant projects or research you've done that relates to machine learning or electronic transport calculations. We love seeing how you’ve applied your knowledge in real-world scenarios!
Be Clear and Concise: Keep your writing clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s necessary, and make sure your enthusiasm shines through!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure we receive all your materials and can review them properly. We’re excited to hear from you!
How to prepare for a job interview at University of Warwick
✨Know Your Machine Learning Basics
Make sure you brush up on your machine learning fundamentals, especially how they apply to electronic transport calculations. Be ready to discuss specific algorithms or techniques you've used in the past and how they relate to the project.
✨Familiarise Yourself with DFT and Boltzmann Transport Methods
Understanding Density Functional Theory (DFT) and Boltzmann transport methods is crucial for this role. Prepare to explain these concepts clearly and how they integrate with machine learning in your previous work or studies.
✨Show Your Interdisciplinary Skills
This position values a mix of physics, engineering, computer science, and applied mathematics. Highlight any projects or experiences that showcase your ability to work across these disciplines and how they can contribute to the HetSys programme.
✨Prepare Questions About the Project
Demonstrate your enthusiasm and curiosity by preparing insightful questions about the project and its goals. This shows you're not just interested in the position but also in contributing meaningfully to the research.
