清华大学深圳国际研究生院信息与通信工程流动站（合作导师Kuruoglu Ercan Engin）2026年博士后招聘

一、岗位信息

清华大学深圳国际研究生院丨招1人

合作导师：Kuruoglu Ercan Engin

流动站：信息与通信工程

所需专业：信号与信息处理

年龄要求：35岁以下

学位要求：博士

拟从事研究内容或研究计划：

Neural networks can be viewed not only as computational architectures but also as complex graphs, dynamical systems, and information-processing structures. This project aims to investigate how topological information can be exploited to understand, analyze, and improve neural network-based learning systems.

Potential research directions include, but are not limited to:

1) Topological and graph-theoretic analysis of neural networks

2) Graph signal processing and graph neural networks

3) Structural and spectral analysis of deep neural networks

4) Topology-aware neural network architecture design

5) Dynamic and time-varying topology in learning systems

6) Information-theoretic characterization of neural network representations

7) Topological approaches to uncertainty-aware and probabilistic learning

8) Topological and graph-based methods for multi-agent and distributed learning systems

9) ·Development of new theoretical foundations connecting topology, information, and learning

The precise research direction can be adapted to the candidate's background and interests.

二、任职要求：

1. Hold a doctoral degree, with excellent moral character and academic performance, in good health, under the age of 35, and generally within three years of receiving the doctorate.

2. a PhD or equivalent doctoral degree in areas including:

Information Science / Information Engineering

Artificial Intelligence / Machine Learning

Computer Science

Electrical and Electronic Engineering

Signal Processing

Applied Mathematics

Statistics

Information Theory

Graph Theory / Network Science

Physics or related quantitative disciplines

3. Candidates with expertise in one or more of the following areas are particularly encouraged to apply: Graph neural networks, graph signal processing, topological data analysis, information theory, Bayesian learning, statistical learning theory, deep learning, network science, spectral methods, or mathematical modeling.

Strong mathematical ability and programming experience, particularly with Python and modern machine-learning frameworks, are desirable.

三、申请程序：

1、申请人提交申请意向

2、合作导师向院系推荐

3、院系集中面试

4、校博后办审核

5、国家审批

6、学校通知录用

7、申请人办理进校手续