PhD&博士后, 材料模拟和机器学习, U of South Carolina
11818
1) PhD Positions for materials design with machine learning or/and simulations
本课题组在U of South Carolina 的Biomedical departmen招收博士生2-3名
课题的研究方向是用machine learning和模拟计算设计高分子材料，生物材料或者纳米材料. 理论计算和实验相结合
学位可以在biomedical engineering和chemical engineering。
博士生提供全奖， 学费免除。 入学时间是2026年的秋季。
基本要求：
1. 理工科专业(化学，化工，物理，生工，计算机，机械，环境，生物）， 数学基础好的本科或者硕士生，都可以申请；
2. 有一定编程基础； 对c++,c, fortran或者python 有一定经验；
3. 博士生申请最低要求： GPA > 3.2 out of 4.0; GRE不要求; Tofel >= 80, or ielts >= 6.5, or pte academic >= 53, or duolingo >=115 。
4. 有材料模拟经验的(machine learning, or simulations (quantum, atomistic, coarse grained, or CFD)) .
有高分子膜，电化学实验和生物相关的实验经验的同学也欢迎申请。
欢迎感兴趣的本科或者研究生同学请发email查询： Dr Tao Wei, 1point3acres.com
初步联系的email 里请附上CV，列上GPA和以前研究方向（如果是研究生，本科生不需要)。
具体的课题方向，请查看Dr. Tao Wei在 Biomedical Engineering或者Chemical Engineering 系里的faculty 主页,
或者课题组的主页： taoweilab.weebly.com
2. Postdoc Position for Machine Leaning of Soft Matter (Polymers/Biomaterials)
Postdoctoral position(s) of machine learning or simulations of polymers and biomaterials is available in the Department of Biomedical Engineering at the University of South Carolina. This position is for the projects about polymers, biological systems (enzyme, lipids and nucleotides), and interfacial electron transfer/redox using multiscale simulations. The appointment will be 1-2 years.
Required qualifications:
1) Expertise in machine learning for material design or/and simulations
2) Expertise in the one of the following research areas: polymers, enzymatic reactions, or interfacial redox and electron transfer.
3) Good programming skills.
Knowledge/Skills/Abilities:
Knowledge in one or more of the following areas: (1) machine learning for material design; (2) Machine learning forcefield MD, QM/MM, AIMD, or large-scale simulations.; (3) metadynamics simulations or the development of coarse-grained forcefield parameters would be a plus.
Interested applicants should first send a CV via email to Dr. Tao Wei's university email (1point3acres.com). In the CV, please detail the manner in which your skills can be applied to the proposed research. The short-listed applicants will be contacted for an online interview. Applications will be accepted until the position is filled.
本课题组在U of South Carolina 的Biomedical departmen招收博士生2-3名
课题的研究方向是用machine learning和模拟计算设计高分子材料，生物材料或者纳米材料. 理论计算和实验相结合
学位可以在biomedical engineering和chemical engineering。
博士生提供全奖， 学费免除。 入学时间是2026年的秋季。
基本要求：
1. 理工科专业(化学，化工，物理，生工，计算机，机械，环境，生物）， 数学基础好的本科或者硕士生，都可以申请；
2. 有一定编程基础； 对c++,c, fortran或者python 有一定经验；
3. 博士生申请最低要求： GPA > 3.2 out of 4.0; GRE不要求; Tofel >= 80, or ielts >= 6.5, or pte academic >= 53, or duolingo >=115 。
4. 有材料模拟经验的(machine learning, or simulations (quantum, atomistic, coarse grained, or CFD)) .
有高分子膜，电化学实验和生物相关的实验经验的同学也欢迎申请。
欢迎感兴趣的本科或者研究生同学请发email查询： Dr Tao Wei, 1point3acres.com
初步联系的email 里请附上CV，列上GPA和以前研究方向（如果是研究生，本科生不需要)。
具体的课题方向，请查看Dr. Tao Wei在 Biomedical Engineering或者Chemical Engineering 系里的faculty 主页,
或者课题组的主页： taoweilab.weebly.com
2. Postdoc Position for Machine Leaning of Soft Matter (Polymers/Biomaterials)
Postdoctoral position(s) of machine learning or simulations of polymers and biomaterials is available in the Department of Biomedical Engineering at the University of South Carolina. This position is for the projects about polymers, biological systems (enzyme, lipids and nucleotides), and interfacial electron transfer/redox using multiscale simulations. The appointment will be 1-2 years.
Required qualifications:
1) Expertise in machine learning for material design or/and simulations
2) Expertise in the one of the following research areas: polymers, enzymatic reactions, or interfacial redox and electron transfer.
3) Good programming skills.
Knowledge/Skills/Abilities:
Knowledge in one or more of the following areas: (1) machine learning for material design; (2) Machine learning forcefield MD, QM/MM, AIMD, or large-scale simulations.; (3) metadynamics simulations or the development of coarse-grained forcefield parameters would be a plus.
Interested applicants should first send a CV via email to Dr. Tao Wei's university email (1point3acres.com). In the CV, please detail the manner in which your skills can be applied to the proposed research. The short-listed applicants will be contacted for an online interview. Applications will be accepted until the position is filled.
