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Research Scientist Graduate (Seed Quantum Chemistry and Machine Learning) - 2027 Start (PhD)

ByteDance
  • ๐Ÿ‡บ๐Ÿ‡ธ United States
  • On-site
  • Entry level
  • 2 months ago
  • Machine Learning

Not enough detail in this posting to match

About the Team

Our team at ByteDance Seed has been focusing on developing quantum computational chemistry and machine learning tools to help us better understand some fundamental science problems, such as the mechanism of catalyst. We are looking for candidates to join our team and conduct cutting-edge research in the area of quantum chemistry using advanced machine learning and large-scale computational infrastructure.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

Responsibilities

  • Carry out interdisciplinary research in quantum chemistry and machine learning
  • Perform theoretical analysis on machine-learning-based quantum chemical models
  • Conduct large-scale quantum chemical simulations and verify the correctness and practicability of proposed models

Minimum Qualifications

  • Individuals who are completing or have recently completed a PhD degree in physics, chemistry, mathematics, machine learning or a related discipline.
  • Research experience in quantum chemistry, machine learning or related fields
  • Strong background in mathematical background and solid programming skills
  • Good knowledge of machine learning or deep learning
  • Ability to work independently and as part of a team

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy

Research Scientist Graduate (Seed Quantum Chemistry and Machine Learning) - 2027 Start (PhD) ยท ByteDance

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