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- Tasks: Use AI to design innovative Graphene Nanoribbons for sustainable energy solutions.
- Company: Join the University of Warwick's HetSys, a leader in interdisciplinary research.
- Benefits: Fully funded PhD with competitive stipend and research training budget.
- Why this job: Make a real impact on green energy while developing cutting-edge skills.
- Qualifications: Passion for science, engineering, or mathematics; experience in modelling is a plus.
- 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 Inverse Design of Graphene Nanoribbons for Green Energy.
Supervisor: Dr Sara Sangtarash, University of Warwick.
Thermoelectric materials convert heat into electrical energy, crucial for sustainable power and waste heat recovery. Their efficiency is measured by the figure of merit, ZT. Achieving high ZT requires a delicate balance: high electrical conductance (G) and Seebeck coefficient (S) with low thermal conductance (k). Graphene Nanoribbons (GNRs) are promising but currently, designing high-ZT GNRs is a slow, trial-and-error process, as the inverse problem is computationally intractable. This project uses an AI-guided inverse design loop. A goal-directed AI proposes novel GNR architectures, which a fast machine learning model rapidly evaluates, accelerating the discovery of next-generation thermoelectrics.
About HetSys: Harnessing Data, Modelling and Simulation for Real‑World Impact.
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 Inverse Design of Graphene Nanoribbons for Green [...] 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 Inverse Design of Graphene Nanoribbons for Green [...] in Coventry
✨Tip Number 1
Network like a pro! Reach out to current PhD students or faculty members at the University of Warwick. A friendly chat can give us insider info about the programme and might even lead to a recommendation.
✨Tip Number 2
Show off your passion for machine learning and thermoelectric materials in interviews. We want to see that spark! Prepare examples of your previous work or projects that relate to the research focus.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors. This will help us refine our answers and boost our confidence when discussing complex topics like GNRs and AI-guided design.
✨Tip Number 4
Apply through our website! It’s the easiest way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace PhD Studentship: Machine learning accelerated Inverse Design of Graphene Nanoribbons for Green [...] in Coventry
Some tips for your application 🫡
Show Your Passion: Let us see your enthusiasm for the project! Talk about why you're excited about machine learning and graphene nanoribbons. A genuine interest can really make your application stand out.
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the PhD project. We want to see how your background fits into the world of thermoelectric materials and AI-driven design.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell your story. Explain why you’re the perfect fit for this studentship and how you can contribute to HetSys. Keep it engaging and personal!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the easiest way for us to receive your materials and ensures you don’t miss any important details in the process.
How to prepare for a job interview at University of Warwick
✨Know Your Stuff
Make sure you’re well-versed in the fundamentals of thermoelectric materials and machine learning. Brush up on key concepts like electrical conductance, Seebeck coefficient, and thermal conductance. Being able to discuss these topics confidently will show your passion and understanding of the project.
✨Show Your Interdisciplinary Skills
This role is all about blending science, engineering, and mathematics. Be ready to share examples of how you've applied knowledge from different fields in your past work or studies. Highlighting your versatility will impress the interviewers and demonstrate that you fit right into their collaborative environment.
✨Ask Insightful Questions
Prepare some thoughtful questions about the project and the HetSys programme. Inquire about the specific challenges they face in designing GNRs or how AI is integrated into their research. This shows your genuine interest and helps you gauge if the role aligns with your career goals.
✨Be Yourself
While it’s important to be professional, don’t forget to let your personality shine through. The interviewers are looking for someone who fits into their vibrant community. Share your enthusiasm for the project and your vision for how you can contribute to their mission of real-world impact.
