Research Scientist Graduate (AI for Science - Computational Materials Science) - 2025 Start (PhD)

1 Month ago • All levels • Physics Engine • $184,300 PA - $337,250 PA

Job Summary

Job Description

ByteDance's AI for Science team seeks a highly motivated Materials Science Research Scientist (PhD) to start in 2025. The role involves applying computational methods to energy storage materials research, contributing to cutting-edge advancements in the field. Responsibilities include developing and applying computational models (DFT, molecular dynamics), analyzing data, and publishing research findings. The ideal candidate possesses a strong background in solid-state physics, computational algorithms, and experience with materials science software (Python, C++). The position offers significant growth opportunities within a dynamic, interdisciplinary environment.
Must have:
  • Ph.D. in Material Science or related field
  • Proficiency in computational modeling (DFT, MD)
  • Strong solid-state physics understanding
  • Experience with Python/C++ and materials science software
  • Publication record in peer-reviewed journals
Good to have:
  • Deep knowledge of solid-state physics and computational algorithms
  • Experience with machine learning force fields and molecular dynamics
  • Experience with multiscale modeling algorithms
  • Experience working with DFT datasets (Materials Project)
Perks:
  • Medical, dental, and vision insurance
  • 401(k) savings plan with company match
  • Paid parental leave
  • Paid time off (holidays, sick days, personal time)
  • Wellbeing benefits

Job Details

Responsibilities
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. Why Join Us Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us. The AI for Science team has been focusing on tackling challenges in natural sciences, including biology, physics, and materials, with computational tools such as Machine Learning, Computational Chemistry, High-throughput Computation. Our goal is to create breakthroughs in natural science with new methodology and help the world. We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance. Successful candidates must be able to commit to an onboarding date by end of year 2025. We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities: We are seeking a highly motivated Materials Science Research Scientist with a strong background in solid state physics and computational algorithms to join our innovative team. The ideal candidate should have extensive experience of applying computational methods in the area of energy storage materials. This role offers the opportunity to contribute to cutting-edge research that will shape the future of energy storage technologies.
Qualifications
Minimum Qualifications: - Educational Background: Ph.D. in Material Science, Applied Physics, or related fields. - Coding skills: Experience with programming languages like Python or C++, and material science software. - Domain knowledge: Strong understanding of solid state physics principles as applied to materials science. Proficiency in computational modeling techniques such as density functional theory and molecular dynamics. - Publication Record: Proven track record of publications in high-impact, peer-reviewed scientific journals. - Problem-Solving Skills: Strong analytical abilities with a talent for independent research and innovation. Ability to thrive in a fast-paced, interdisciplinary environment and manage multiple projects simultaneously. - Communication Skills: Excellent teamwork and interpersonal skills, with the ability to communicate complex ideas effectively. Preferred Qualifications (at least one of the following): - Deep knowledge of solid state physics and computational modelling algorithms. - Experience in adding new features or fixing bugs in existing solid physics software. - Experience of machine learning force fields and molecular dynamics - Experience of multiscale modelling algorithms - Experience of working with density functional theory datasets such as materials project ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. ByteDance Inc. is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2
Job Information
【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $184300 - $337250 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

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