Research Intern - Applied AI for Science

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.

We are a team at Microsoft Research, Redmond focused on developing and applying advanced artificial intelligence (AI) models and algorithms to help solve complex scientific and engineering challenges across the atomistic, process, deployment scales. Our team is diverse, comprising of scientists with expertise across computer science, chemistry/biology, and engineering and is passionate about translating research into real-world impact. We are highly collaborative and draw expertise from teams across Microsoft Research and Azure.

Responsibilities

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.

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.

Qualifications

Required Qualifications

• 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.

Preferred Qualifications

• 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).

The base pay range for this internship is USD $6,550 - $12,880 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,480 - $13,920 per month.

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

Microsoft accepts applications and processes offers for these roles on an ongoing basis.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (~~~) .