| 4 Visite |
0 Candidati |
Descrizione del lavoro:
About the Team: Our team at Seed-AI for Science 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 outstanding researchers to join our team and conduct cutting-edge research in AI for Chemistry. We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date). Responsibilities: - Carry out interdisciplinary research in quantum computational 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
Requisiti del candidato:
Minimum Qualifications: - Currently pursuing a PhD in Physics, Chemistry, Mathematics, Machine Learning and related fields. - Research experience in quantum chemistry, machine learning or related fields. - Strong mathematical background and solid programming skills. Preferred Qualifications: - Machine Learning background. - Strong publication records in top conferences or journals. 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
| Provenienza: | Web dell'azienda |
| Pubblicato il: | 04 Ago 2026 |
| Tipo di impiego: | Stage |
| Settore: | Internet / New Media |
| Lingue: | Inglese |