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- Tasks: Conduct cutting-edge research in computational modelling of 2D semiconductors.
- Company: Leading UK university with a focus on innovation and sustainability.
- Benefits: Fully funded studentship, access to top resources, and mentorship from experts.
- Why this job: Join a pioneering project tackling energy demands in AI and make a real difference.
- Qualifications: Must be a UK student with a 2.1 degree in Chemistry, Physics, or related field.
- Other info: Applications are open until the right candidate is found; reach out for informal inquiries.
The predicted salary is between 36000 - 60000 £ per year.
A leading UK university invites PhD applications for a fully funded studentship in Theoretical and Computational Chemistry. The position focuses on computational modelling of innovative semiconductors to address energy demands in artificial intelligence.
Candidates must be UK students with at least a 2.1 degree in Chemistry, Physics, or a related subject. Informal inquiries should be directed to the professor overseeing the project, with applications processed continuously until a suitable candidate is found.
PhD in Computational Chemistry for 2D Semiconductors in Nottingham employer: University Of Nottingham
Contact Detail:
University Of Nottingham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PhD in Computational Chemistry for 2D Semiconductors in Nottingham
✨Tip Number 1
Network like a pro! Reach out to current PhD students or faculty members in the department. A friendly chat can give you insider info and might even lead to a recommendation.
✨Tip Number 2
Prepare for an informal chat with the professor. Brush up on your knowledge of 2D semiconductors and be ready to discuss your ideas. Show them you're passionate about the research!
✨Tip Number 3
Don’t just wait for the application process to close; apply early! The sooner you get your application in, the better your chances are of standing out before they find their ideal candidate.
✨Tip Number 4
Use our website to apply! It’s straightforward and ensures your application gets seen by the right people. Plus, we’re here to help you every step of the way!
We think you need these skills to ace PhD in Computational Chemistry for 2D Semiconductors in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in Chemistry, Physics, or related fields. We want to see how your background aligns with the exciting world of computational modelling and semiconductors!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about this PhD opportunity and how your skills can contribute to tackling energy demands in AI. Keep it engaging and personal!
Showcase Your Research Interests: In your application, don’t forget to mention any specific research interests you have that relate to 2D semiconductors or computational chemistry. We love to see candidates who are genuinely excited about the field!
Apply Through Our Website: To make things easier for us and you, please apply through our website. It streamlines the process and ensures your application gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at University Of Nottingham
✨Know Your Stuff
Make sure you brush up on your knowledge of theoretical and computational chemistry, especially as it relates to 2D semiconductors. Be prepared to discuss recent advancements in the field and how they might apply to energy demands in AI.
✨Engage with the Professor
Since informal inquiries are encouraged, don’t hesitate to reach out to the professor overseeing the project before your interview. This shows initiative and gives you a chance to ask specific questions about the research, which can help you stand out.
✨Showcase Your Skills
Be ready to talk about any relevant projects or research you've done in Chemistry or Physics. Highlight your computational modelling experience and how it can contribute to the innovative semiconductor work at the university.
✨Prepare Thoughtful Questions
Have a few insightful questions ready for the interview. This could be about the direction of the research, potential collaborations, or the impact of your work on energy solutions in AI. It shows you're genuinely interested and engaged.
