Microsoft Research Intern - Applied AI Science 

United States, Washington 

613242604

• Currently enrolled in a PhD program in Computer Science, Chemistry, or a related STEM field.

Other Requirements

• Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.
• In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

• Experience with using HPC or cloud computing systems and executing quantum chemical calculations at scale with Python or similar systems.
• Experience with applying ML to scientific problems.
• Experience with sampling techniques, design of experiments, or similar.
• Proficiency in Gaussian-type basis quantum chemistry software (such as NWChem, PySCF, ORCA).
• Proficiency in classical molecular dynamics simulation software (such as GROMACS, LAMMPS, ASE).

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Research Interns will participate in AI projects for materials design, organize and explore scientific data, design and implement advanced models and algorithms, and collaborate with researchers across geographies (if applicable). Specific responsibilities include:

• Research and collect literature on experimental and computational data.
• Set up computational workflows for small molecule and polymer property calculations/data generation.
• Explore sampling techniques (Bayesian methods, generative modeling) for molecular designs.