埃默里大学计算机系Dr. Liang Zhao课题组2023夏季招聘研究助理

埃默里大学计算机系Dr. Liang Zhao课题组2023夏季招聘研究助理
导师介绍：Liang Zhao is an Assistant Professor in the Department of Computer Science at Emory University since Fall 2020. Before that, he was an assistant professor in the Department of Information Science and Technology as well as the Department of Computer Science at George Mason University. He graduated as PhD from Virginia Tech in Fall 2016. His research direction includes data mining, machine learning, and optimization. He won AWS Machine Learning Research Award 2021, CIFellow Mentor in 2021, NSF CAREER Award in 2020, Jeffress Trust Award in 2019, Outstanding Doctoral Student of CS Department at Virginia Tech in 2017. He was recognized as one of “Top 20 Rising Stars in Data Mining” in 2016 by Microsoft. He won the Best Paper Award in ICDM 2019 and Best Paper Award Final List 2021. He is currently an IEEE senior member. For more details of Dr. Zhao, please refer to his homepage: http://cs.emory.edu/~lzhao41/

实验室和项目简介：Dr. Liang Zhao 领导的实验室现有1名博后、13名博士、及多位研究生和本科生。实验室目前由多个基础科学研究项目资助，资金充足。致力于数据挖掘，机器学习，以及非凸优化领域的基础研究，比如图网络深度学习和生成，时空数据挖掘，可解释以及分布式深度学习，生物启发式人工智能。并运用他们解决前沿实际问题，比如事件预测，医疗，蛋白质结构预测，脑结构建模，集成电路设计等。学术成果集中发表于数据挖掘，人工智能，机器学习顶级会议期刊如：NeurIPS, ICLR, ICML, KDD, TKDE, ICDM, Proceedings of the IEEE, TKDD, IJCAI, AAAI, WWW, 和ACM Computing Surveys。所招职位均为基础研究并同时解决前沿实际问题。

可以根据学生兴趣从以下方向选择一个课题参与：
●        Causal inference in deep learning.
●        Deep network analysis with generative models and graph neural networks, including information diffusion prediction, diffusion source detection, and influence maximization.
●        Design effective and efficient learning strategies for graph neural networks.
●        Graph data mining problems (e.g., anomaly detection and community detection) by deep learning.
●        Partial differential equations for graph inverse problems.
●        Spatio-temporal environmental sustainability research (e.g., air pollution estimation and downscaling) with deep learning.
●        Deep learning in neuroscience: brain networks modeling, prediction for mental disease analysis.
●        Design effective and efficient learning strategies, including multi-task learning, continual learning and meta-learning, with possibly neuro-inspiration and bi-level optimization.
●        Distributed optimization for deep learning.
●        Spatial networks and temporal graph representation learning.
●        Data generation by generative deep learning with property controllability.
●        Molecule design and property prediction with deep learning and graph neural networks.
●        Deep graph learning for material science.
●        Interpretable machine learning that supports human-AI interaction.

学校院系介绍：
- 美国综合排名常年Top 20 (by US.NEWS)。
- 世界排名常年 Top 70左右 (by US.NEWS, Times, etc.)。
- 位于全美第9大城市亚特兰大市，是全美亚洲人比例最高城市之一，安全方便。
- 计算机排名 Top 30 (by TFE), 82 (by US.NEWS). 计算机系于2018年单独成系，近些年在快速扩建。

申请要求：
- 本科和硕士为计算机及相关专业，很强的编程能力。 本科为（应用）数学和物理专业也可申请。
- 有已发表论文或较强数学基础优先。
- 对科学研究和高水平学术成果有很强热情。


所需材料：
感兴趣的同学请发送简历，本科(及硕士)成绩单，到Dr. Liang Zhao: liang.zhao@emory.edu

说atlanta安全方便这点有点扯了吧……
虽然emory周边应该还不错
gatech旁边那简直就是hell。我一个在la住了十年的都被吓到了。

Emory的本科生！帮顶！在Emory度过了美好的四年。现在学校也看得出在大力发展CS。

请问下老师，这个职位是paid还是unpaid呢？

请问是on site的吗 可以问下工资吗

老师好，给老师发了个邮件，chi****@gwu.edu，非常感谢分享，希望有机会得到回复

更新一下大家关注的funding问题，跟系里和导师咨询过后绿卡和公民会有4000美元/10周的stipend哈，其他本科生（或研究生）只能以志愿者身份参与。

zzyyy 发表于 2023-5-27 19:59
请问是on site的吗 可以问下工资吗

你好，跟系里和导师咨询过后绿卡和公民会有4000美元/10周的stipend哈，其他本科生（或研究生）只能以志愿者身份参与，抱歉啦。

zws1818918 发表于 2023-5-27 17:11
请问下老师，这个职位是paid还是unpaid呢？

你好，跟系里和导师咨询过后绿卡和公民会有4000美元/10周的stipend哈，其他本科生（或研究生）只能以志愿者身份参与，抱歉啦。