Open Positions

Responsibilities

We are recruiting several postdoctoral fellows to:

• Lead and conduct independent research projects as core team members in the following aspects:
  • • MD simulations for biomolecules
  • • Deep learning model design for biological structures
  • • Distributed simulation system design, development and acceleration
• Assist in supervising students and technical staff
• Actively participate in team activities

Qualifications

• PhD degree required. Candidates with backgrounds in Computational Chemistry, Computational Biology, Biomolecular Dynamics Simulation, Quantum Simulation, Computer Science, Software Engineering, or related interdisciplinary fields are preferred.
• Publication record as a first author in high-impact journals or top-tier computer science conferences; strong English reading, writing, and communication skills.
• Ability to conduct independent research; proficiency in programming (e.g., C++ or Python) and deep learning model development (e.g., PyTorch).
• Priority consideration for candidates familiar with:
  • • Biomolecular dynamics simulation (e.g., Amber, Gromacs)
  • • Quantum simulation (e.g., ORCA, Gaussian, etc.)
  • • Density Functional Theory (DFT)
  • • Extensive experience in deep learning research
• Strong belief in the impact of AI on biological research; rigorous work ethic, strong self-motivation, collaborative spirit, and academic integrity.

Compensation & Benefits

• Standard postdoctoral benefits of Tsinghua University and the State. Support for applying to various funding programs based on academic background, including the CLS Postdoctoral Fund, the "Excellent Scholar" program of the Beijing Advanced Innovation Center for Structural Biology, and the Tsinghua University "Shuimu Scholar" program. The group supports applications for the China Postdoctoral Science Foundation and the National Natural Science Foundation of China. Competitive living allowances and performance bonuses will be provided based on work performance.
• Access to Tsinghua University's high-quality educational resources for children and postdoctoral housing. Postdocs enjoy policies regarding household registration migration for themselves and their families upon completing the program.
• Access to world-class computing platforms and a deeply interdisciplinary research environment at Tsinghua University.

Responsibilities

We are recruiting several research assistants to:

• Participate in research projects involving deep learning model design/training, engineering optimization/acceleration, and molecular dynamics simulations
• Assist in lab computing resource management, maintenance, purchasing, and website design
• Actively participate in team work
• Undertake independent research topics depending on performance

Qualifications

• Bachelor's degree or higher. Backgrounds in Computer Science, Software Engineering, Electronics, Computational Chemistry, or Biomolecular Dynamics Simulation are preferred.
• Proficient in English reading, writing, and communication; skilled in programming (C++, Python) and deep learning model development (PyTorch).
• Priority consideration for candidates familiar with MD simulation (Amber, Gromacs), Quantum simulation (ORCA, Gaussian), DFT, or having strong deep learning research experience.
• Experience in ACM competitions, software development, or system optimization is a plus.
• Strong belief in AI for biology; rigorous work ethic, self-motivated, collaborative, and honest.

Compensation & Benefits

• Employment under Tsinghua University's contract system (non-faculty academic staff), including social insurance and housing fund ("Five Insurances and One Fund"). Living allowances and performance bonuses provided based on work performance.
• Access to world-class computing platforms and an interdisciplinary environment; opportunities to attend academic conferences and participate in international collaborations.

Responsibilities

• Participate in research involving deep learning model design/training, engineering optimization, and molecular dynamics simulations
• Participate in team activities (Priority given to candidates intending to pursue a PhD in the group)

Qualifications

• Current undergraduate or graduate student; all majors welcome; must guarantee fixed working hours
• Basic ability to read English literature; passed CET-6; basic programming and deep learning research skills; aptitude for learning new knowledge
• Rigorous work ethic, self-motivated, collaborative, and honest

Compensation & Benefits

• Access to world-class computing platforms, an interdisciplinary environment, and research guidance
• Guidance on paper writing and performance-based bonuses