Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Research and develop innovative AI solutions for climate and weather simulation.
- Company: Join NVIDIA, a leader in AI technology and climate science.
- Benefits: Gain hands-on experience with cutting-edge tech and publish your research.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
- Why this job: Make a real impact on climate prediction while working with top experts.
- Qualifications: PhD student in relevant fields with strong research and software skills.
The predicted salary is between 20000 - 30000 £ per year.
NVIDIA is looking for research interns with a strong background relevant to applying modern AI methods to re-imagine technology across the Earth System Simulation and Analytics stack. Skills should be relevant to research on applied topics such as generative data assimilation, hybrid climate simulation, full model emulation of climate model components, regional-to-global high-resolution AI autoregressive weather prediction, and dynamical downscaling. We are hunting for highly creative, independent and self-starting research interns to help us invent that future. Strong computer scientists with sufficient knowledge of physical domain sciences are welcome. Alternately, very strong domain scientists with sufficient technical skills are, too. Come join a diverse research group that collaboratively works on hard and meaningful interdisciplinary problems with passion, drive and curiosity; that consistently publishes at top venues in climate science and artificial intelligence; and that values real impact on NVIDIA products and the world of academic and government climate prediction at large.
What you’ll be doing:
- Propose, research, prototype and test innovative research ideas.
- Publish groundbreaking work at top conferences and journals.
- Collaborate with other research team members, fellow interns, internal product teams, external researchers and be mentored.
- Contribute to technology transfer with engineers around NVIDIA as ideas graduate from research to product.
- Make good use of top-of-the-line NVIDIA GPUs at scale for cutting edge research at the intersection of AI and climate science.
What we need to see:
- Currently enrolled in at least the 2nd year of a Ph.D. in the geophysical sciences, computer science, applied math/statistics, or related fields.
- Strong research portfolio including one first-author publication that makes good use of AI.
- Proficiency or demonstrable ability to quickly absorb distributed deep learning training frameworks, e.g., PyTorch.
- Strong software engineering skills are necessary.
- Experience in scaling algorithms for high computational loads is a plus.
- Experience developing in a changing software environment and ability to drive research projects end-to-end -- including the messy parts – are a plus.
- Expertise in climate domain science, nonlinear physics, or deep familiarity with associated synthetic and/or observational datasets and/or physical simulation systems are a plus.
- Excellent communication skills.
PhD Research Intern, AI for Climate and Weather Simulation 2026 employer: NVIDIA Corporation
Contact Detail:
NVIDIA Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PhD Research Intern, AI for Climate and Weather Simulation 2026
✨Tip Number 1
Network like a pro! Reach out to current or former interns at NVIDIA through LinkedIn or academic circles. Ask them about their experiences and any insider tips they might have. This can give you a leg up when it comes to understanding the company culture and what they really value.
✨Tip Number 2
Show off your skills! Prepare a portfolio that highlights your research projects, especially those involving AI and climate science. Make sure to include any publications or presentations you've done. This will help you stand out during interviews and show that you're serious about making an impact.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors who are familiar with the field. Focus on articulating your research ideas clearly and confidently. This will help you feel more comfortable when discussing your work and how it relates to the role.
✨Tip Number 4
Apply through our website! We want to see your application directly. Tailor your CV and cover letter to highlight your relevant experience and passion for AI in climate science. Don’t forget to mention any collaborative projects you've worked on, as teamwork is key in our research group!
We think you need these skills to ace PhD Research Intern, AI for Climate and Weather Simulation 2026
Some tips for your application 🫡
Show Off Your Research Skills: Make sure to highlight your research portfolio, especially any first-author publications. We want to see how you've applied AI in your work, so don't hold back on showcasing your innovative ideas and findings!
Tailor Your Application: When applying, tailor your CV and cover letter to reflect the skills and experiences mentioned in the job description. We love seeing candidates who understand what we’re looking for and can connect their background to our needs.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured documents that are easy to read. Use bullet points where necessary to make your achievements stand out!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter.
How to prepare for a job interview at NVIDIA Corporation
✨Know Your Stuff
Make sure you brush up on the latest AI methods and their applications in climate science. Be ready to discuss your research portfolio, especially that first-author publication. It’s your chance to showcase how your work aligns with the role!
✨Show Your Passion
NVIDIA is looking for creative and independent thinkers. During the interview, share your enthusiasm for AI and climate research. Talk about what drives you and how you envision contributing to meaningful projects in this field.
✨Prepare for Technical Questions
Expect questions on distributed deep learning frameworks like PyTorch and your experience with high computational loads. Brush up on your software engineering skills and be ready to discuss any challenges you've faced in your research projects.
✨Communicate Clearly
Excellent communication skills are a must! Practice explaining complex concepts in simple terms. This will not only help you during the interview but also show that you can collaborate effectively with diverse teams.