TalentAQ

TalentAQ

Postdoctoral Fellow

ResearchFull TimeBeijing2 Lacs - 5 Lacs

Required Skills
5 skills

AI
ML
Python
MD
DFT

Job Description

<h3>Job Overview</h3><p>We are seeking a highly motivated Postdoctoral Fellow to join Prof. Xiaonan Wang’s Smart Chemical Engineering Center at Tsinghua University. The successful candidate will contribute to cutting-edge research at the intersection of AI, carbon neutrality, and materials & systems engineering. This role offers the opportunity to work on innovative projects and translate AI-driven labs to real industrial impact.</p><h3>Key Responsibilities</h3><ul><li>Develop and implement AI/ML algorithms for chemical & materials discovery.</li><li>Contribute to the development of domain-specific databases and "Chem/Materials GPT".</li><li>Work on intelligent low-carbon systems and lifecycle optimization.</li><li>Collaborate with a multidisciplinary team to translate research into practical applications.</li></ul><h3>Required Skills</h3><ul><li>Solid fundamentals in Chemical Engineering, Materials Science, Energy, Environmental Science, Computer Science, or Data Science.</li><li>Proficiency in Python and machine learning skills (or strong motivation to learn).</li><li>Experience in molecular dynamics (MD) and/or density functional theory (DFT) is a plus.</li></ul>

Job Overview

We are seeking a highly motivated Postdoctoral Fellow to join Prof. Xiaonan Wang’s Smart Chemical Engineering Center at Tsinghua University. The successful candidate will contribute to cutting-edge research at the intersection of AI, carbon neutrality, and materials & systems engineering. This role offers the opportunity to work on innovative projects and translate AI-driven labs to real industrial impact.

Key Responsibilities

  • Develop and implement AI/ML algorithms for chemical & materials discovery.
  • Contribute to the development of domain-specific databases and "Chem/Materials GPT".
  • Work on intelligent low-carbon systems and lifecycle optimization.
  • Collaborate with a multidisciplinary team to translate research into practical applications.

Required Skills

  • Solid fundamentals in Chemical Engineering, Materials Science, Energy, Environmental Science, Computer Science, or Data Science.
  • Proficiency in Python and machine learning skills (or strong motivation to learn).
  • Experience in molecular dynamics (MD) and/or density functional theory (DFT) is a plus.

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