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Internship Opportunities: AI4 Science Materials Intern

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Data
    Research & Development
  • Cambridge

Requirements

  • Must be currently enrolled in a PhD program in a STEM field.
  • Interns are expected to be physically located in their manager's Microsoft worksite location (Cambridge, UK; or Berlin, Germany) for the duration of their internship.
  • A subset of the following:
  • Understanding and hands-on research experience in machine learning or computational materials science demonstrated for example through research in a PhD program.
  • Publications in relevant conferences (e.g. NeurIPS, ICML, ICLR), or high-profile scientific journals.
  • Ability to code in Python, as well as familiarity with Git and code reviews.
  • Interest in applying machine learning to scientific research.
  • Ability to work in an interdisciplinary collaborative environment with people from different technical backgrounds.

Responsibilities

  • You will be embedded in a collaborative ambitious project using deep learning to push the frontiers of generative models for materials design.

FAQs

What is the focus of the internship opportunity?

The internship focuses on using deep learning to advance generative models for materials design within the intersection of machine learning and materials science.

What are the required qualifications for the internship?

Candidates must be currently enrolled in a PhD program in a STEM field.

Where must interns be physically located during the internship?

Interns are expected to be physically located at their manager's Microsoft worksite location, either in Cambridge, UK, or Berlin, Germany, for the duration of their internship.

What is the length of the internship?

The internship lasts for 12 weeks.

What are some preferred qualifications for applicants?

Preferred qualifications include research experience in machine learning or computational materials science, publications in relevant conferences or high-profile scientific journals, proficiency in Python, familiarity with Git, interest in applying machine learning to scientific research, and the ability to work in an interdisciplinary collaborative environment.

Is there an opportunity for interdisciplinary collaboration during the internship?

Yes, interns will have the opportunity to work in an interdisciplinary collaborative environment with people from different technical backgrounds.

Are there any preferences regarding coding skills?

Yes, a proficiency in coding with Python is preferred, along with familiarity with Git and code reviews.

Is Microsoft an equal opportunity employer?

Yes, Microsoft is an equal opportunity employer and provides consideration for employment without regard to various protected characteristics.

Will publications in relevant conferences be considered an advantage?

Yes, having publications in relevant conferences such as NeurIPS, ICML, or ICLR, or in high-profile scientific journals is considered an advantage.

Is there any support for individuals with disabilities during the application process?

Yes, individuals requiring assistance or reasonable accommodations due to a disability during the application process can find information on how to request accommodations.

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Employees
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