Your role and responsibilities
During the internship you will work in a small group to develop, explore, and characterize the properties of a given computational model. Job responsibilities may include developing and scaling up an existing application, exploring model configurations, reading relevant literature, and communicating findings through patent applications and publications in top-tier conferences.
Required education
Master's Degree
Preferred education
Master's Degree
Required technical and professional expertise
- Candidates must be enrolled in a PhD program in the physical, mathematical, or natural sciences.
- Fluency in developing and running HPC-scale models in the candidate’s own discipline.
- Demonstrated experience in solving analytical problems using rigorous and quantitative approaches.
Preferred technical and professional experience
- All application domains are of interest, but a background in environmental or theoretical physics will be preferred.
- Experience with model-reduction and model-emulation approaches, including Physics-Informed Machine Learning.
- Familiarity with non-linear optimization techniques.
- Being able to clearly and effectively communicate research ideas as demonstrated by publications and presentations in the top-tier journals and conferences.
