| 查看: 740 | 回复: 15 | |||
| 【有奖交流】积极回复本帖子，参与交流，就有机会分得作者 yanghuannn 的 10 个金币 ，回帖就立即获得 1 个金币，每人有 1 次机会 | |||
[交流]
德国马克思普朗克化学研究所，全奖博士/岗位制博士后
|
|||
|
德国马克思普朗克化学研究所，全奖博士/岗位制博士后 方向一：AI+量化做有机反应网络自动生成 方向二：机器学习力场结合增强采样研究相变，凝结成核，及表界面过程 主要针对大气气溶胶系统，也非常欢迎非大气方向，但计算分析能力强的同学申请，相关大气背景可过来后补充 PhD / Postdoc Opportunity: AI-Driven Molecular Modeling for Organic Reactions and Multiphase/Interfacial Chemistry Open PhD and Postdoc positions are available at the Max Planck Institute for Chemistry (MPIC), co-supervised by Prof. Yafang Cheng (Director at MPIC) and Dr. Huan Yang (Research Team Leader at MPIC). We develop AI-powered molecular modeling tools to uncover how molecules form atmospheric aerosols — tiny particles with huge impacts on climate, air quality, and health. Website: https://www.mpic.de/5587552/aerosol-chemistry We are seeking PhD or postdoctoral fellows to work on either of the two directions: 1. Autonomous reaction discovery: combining quantum chemistry, machine learning, and automation to chart oxidation pathways of atmospheric organic reactions. 2. AI-augmented molecular simulations: developing and applying machine-learning force fields and state-of-the-art enhanced sampling to reveal interfacial and multiphase processes responsible for aerosol nucleation, growth, and interaction at the nanoscale. Applicants without prior background in atmospheric or aerosol science are also encouraged to apply. We particularly welcome strong candidates from physics, engineering, computational science, or other areas of chemistry, as long as they demonstrate high motivation, solid theoretical or analytical skills, or strong coding ability. Your Opportunity We see aerosol chemistry as a unique and rapidly emerging frontier for computational and machine learning approaches. Historically, modeling efforts in this field were limited due to accuracy and system size, leaving many key questions unresolved. Now, with new AI-driven molecular modeling tools, there is enormous potential to make fundamental, high-impact discoveries. This creates an exceptional career pathway for young researchers who want to shape a new direction at the intersection of computational science, AI, and chemistry. The methods we develop are intended to be general and transferable. The automated multiscale modeling and AI-augmented simulation frameworks will be broadly applicable to other domains where reaction kinetics, nucleation, and nanoscale processes are central — such as combustion science, retrosynthetic pathway discovery, energy storage materials, and heterogeneous catalysis. Thus, students will gain not only deep expertise in aerosol processes, but also a versatile methodological toolkit with impact far beyond climate and health, extending into energy, chemistry, and engineering applications. What We Offer • Fully funded positions with competitive salary or stipend. • PhD program: normally 4 years. • Postdoc: initial 1-year contract, extendable up to 2–3 years upon mutual agreement. • Publishing in top scientific journals and build a strong career profile. • Excellent opportunities to validate your computational discoveries through close collaboration with strong experimental teams in the department. • Fully funded research visit opportunities to world-leading AI labs, AI for Science labs, and AI for Chemistry labs. How to Apply Please email the following materials to Dr. Huan Yang at huan.yang@mpic.de • CV • Bachelor’s transcript (PhD applicants only) • Short statement of interest (~1 page: motivation, background, and strength) • Contact information for at least two references (name, affiliation, email) Tip: Use the subject line “Application – PhD/Postdoc – [Your Name]” and, if possible, combine materials into a single PDF. Optional Materials • You may include additional materials that demonstrate your skills and capabilities, such as code repositories, project demonstrations, or published papers. • Reference letters can also be submitted directly at the time of application, though this is not required. Evaluation Procedure • Decisions will be made on a rolling basis until all positions are filled. • The first round of application review will begin between October to November 2025, and shortlisted candidates will be contacted during that month to arrange interviews. • We greatly value all applications and will make every effort to respond to serious candidates, though responses may not be possible in every case due to the high volume received. • The starting date is negotiable, but preferably no later than Autumn 2026. About the Research Team Prof. Yafang Cheng is Director at the Max Planck Institute for Chemistry and head of the Aerosol Chemistry Department. She is internationally recognized for pioneering research on atmospheric aerosols and their impacts on air quality, human health, and climate. Her department combines field campaigns, instrument development, multiscale modeling, and machine learning to study the life cycle of particles, from their molecular origins to global-scale consequences. Supported by world-class infrastructure — including the HALO research aircraft, high-end laboratories, and powerful computing resources — the department provides an exceptionally stimulating environment for innovative and interdisciplinary research. Prof. Yafang Cheng is a globally recognized leader in atmospheric and environmental sciences, with over 180 peer-reviewed publications (including multiple articles in Science, Nature, PNAS, Science Advances, and Nature Communications). She is a Member of the Academia Europaea, Fellow of the American Geophysical Union (AGU), and Fellow of the American Association for the Advancement of Science (AAAS). As a supervisor, she is known for her inspiring mentorship, international perspective, and proven record of guiding students and postdocs toward impactful careers. Dr. Huan Yang leads the Nanoscale Theory and Modeling team at the Max Planck Institute for Chemistry, focusing on molecular-level mechanisms of nanoparticle processes. His group develops computational frameworks that integrate quantum chemistry, molecular dynamics, mesoscopic transport theory, and AI-driven modeling to uncover how gaseous precursors evolve into aerosol particles. Dr. Yang received his PhD from the University of Minnesota under the supervision of Prof. Chris Hogan, pursued postdoctoral research at the University of Helsinki with Prof. Hanan Vehkamäki and Acad. Prof. Markku Kulmala, and was an affiliated researcher at the Italian Institute of Technology with Acad. Prof. Michele Parrinello. He was also selected as a Young Scientist for the Lindau Nobel Laureate Meeting 2025. His research, published in Nature Communications, Atmospheric Chemistry and Physics, The Journal of Chemical Physics, and Physical Review E, bridges fundamental theoretical advances with pressing environmental challenges. The Aerosol Chemistry Department and the Nanoscale Theory and Modeling team aims to provide a collaborative, interdisciplinary, and international environment. We especially welcome motivated PhD and postdoc candidates with strong modeling, computational, or data-science skills, and those eager to connect theory with experiment. Joining our team means working on cutting-edge, globally relevant questions, contributing to high-impact publications, and developing versatile skills for a successful and influential scientific career. Max Planck Institute for Chemistry The Max Planck Society has a world-leading reputation as a science and technology research organization, with 39 Nobel Prizes awarded to its scientists, and is widely recognized as one of the foremost institutions for basic research. In 2020, the Nature Index ranked the Max Planck Institutes 3rd worldwide for publications in Nature journals. The Max Planck Institute for Chemistry is one of the oldest institutes of the Society, founded in 1912 as the Kaiser Wilhelm Institute for Chemistry in Berlin and relocated to Mainz in 1949. Its scientists, including Nobel Laureates Richard Willstätter, Otto Hahn, and Paul Crutzen, have made landmark contributions that shaped modern chemistry and atmospheric |
回复此楼» 猜你喜欢
职称评审没过，求安慰
已经有56人回复
-
最近几年招的学生写论文不引自己组发的文章
已经有5人回复
-
26申博自荐
已经有3人回复
-
A期刊撤稿
已经有4人回复
» 抢金币啦！回帖就可以得到:
-
祝福---好运连连---连连---
+4/240
-
双一流南京医科大学招计算机、AI、统计、生物信息等方向26年9月入学博士
+1/183
-
好用的黑科技重组蛋白和生长因子
+1/98
-
Analytical Science Advances（Wiley出版社）长期征稿中...
+1/86
-
江西师范大学化学与材料学院2026年博士研究生招生
+1/30
-
博士后招聘
+1/27
-
湖南师范大学杨亚辉/江浩团队招收电催化方向2026年博士生1名
+1/27
-
复旦大学彭慧胜院士团队 | 招聘有机合成方向博士后、博士生及科研助理
+1/22
-
求硫醇的合成资源
+1/19
-
上海大学昝鹏教授、军事医学研究院伯晓晨研究员/倪铭副研究员 课题组招聘博士生
+2/16
-
天津大学化学系吴立朋课题组申请考核制博士招生/博后招聘
+1/12
-
海南师范大学招收化学博士（光电功能材料课题组招收博士研究生）
+1/8
-
中南大学化学化工学院高性能聚合物团队2026年诚聘博士后或青年教师
+1/8
-
天津大学化学系吴立朋课题组申请考核制博士招生/博后招聘
+1/8
-
中科院精密测量院（原武汉物数所）诚招磁共振成像方向申请考核制博士（2026.1.9截止）
+1/5
-
长春工业大学 机电工程学院 韩玲 招收申请审核制2026年秋季入学博士生
+1/5
-
诚邀博士后合作研究人员
+1/4
-
山东大学集成电路学院博士招生1名
+1/4
-
北京师范大学与企业联合招聘博士后、全职、兼职人员
+1/3
-
诚招“先进材料与柔性电子（柔性储能或柔性天线）”方向联培博士生
+1/2
简单回复
tfang2楼
2025-09-30 07:57
回复
yanghuannn(金币+1): 谢谢参与
2025-09-30 08:20
回复
yanghuannn(金币+1): 谢谢参与
2025-09-30 08:21
回复
jiaoxg5楼
2025-09-30 08:28
回复
yanghuannn(金币+1): 谢谢参与
kingluck6楼
2025-09-30 08:31
回复
yanghuannn(金币+1): 谢谢参与
XG-WUST7楼
2025-09-30 08:42
回复
yanghuannn(金币+1): 谢谢参与
up 发自小木虫IOS客户端
nono20098楼
2025-09-30 08:46
回复
yanghuannn(金币+1): 谢谢参与
·
2025-09-30 08:52
回复
yanghuannn(金币+1): 谢谢参与
s9659z10楼
2025-09-30 10:43
回复
yanghuannn(金币+1): 谢谢参与
庚辰辛丑11楼
2025-09-30 11:33
回复
yanghuannn(金币+1): 谢谢参与
psylhh12楼
2025-09-30 23:36
回复
yanghuannn(金币+1): 谢谢参与
sincosx13楼
2025-10-01 07:20
回复
yanghuannn(金币+1): 谢谢参与
lymjjh14楼
2025-10-01 20:03
回复
yanghuannn(金币+1): 谢谢参与
YongYu_USTC15楼
2025-10-01 21:47
回复
laozhu557216楼
2025-10-03 10:28
回复
yanghuannn(金币+1): 谢谢参与