Position Title: Solid-State Computing Scientist
Job Responsibilities
1. Responsible for the development and optimization of computational methods for drug solid-state research, and conduct in-depth research on the relationship between crystal structure and properties by combining physical/chemical models.
2. Based on existing algorithms and tools, carry out crystal structure prediction and material property prediction work to provide reliable theoretical support for projects.
3. Explore the application of AI methods in drug solid-state calculations to improve the intelligence level and research efficiency of projects.
4. Collaborate closely with team members, participate in project discussions and decision-making, and jointly promote the smooth progress of projects.
Job Requirements
1. Doctoral degree, with relevant professional backgrounds in physical chemistry, computational chemistry, quantum chemistry, condensed matter physics, computational physics, etc.
2. Familiar with periodic system modeling and the use of computational software.
3. Familiar with the Linux operating system and have the ability to analyze and process data under Linux.
4. Have good programming skills and master at least one programming language (Python, C, C++, Fortran, Java, etc.).
5. Familiar with quantum chemistry calculation tools such as VASP, Gaussian, or molecular dynamics simulation software such as GROMAS, LAMMPS.
6. Have strong business understanding and learning abilities.
7. Proactive, responsible, and equipped with good planning, communication, coordination, and risk management capabilities.
8. Those who have published SCI papers in relevant fields as the first author will be given priority.
Priority will be given to candidates with the following qualifications:
1. Having English proficiency test certificates (TOEFL, IELTS, BEC, etc.), overseas study experience, or work experience in foreign enterprises.
2. Familiar with molecular dynamics simulation, basic theories related to crystallography, accurate handling of intermolecular interactions, basic theories of quantum chemistry, and drug production and formulation processes.
3. Having practical experience in AI models for crystal structure prediction and material property prediction, and being able to independently complete relevant experiments and data analysis.
