Time-Varying Data Science Group @Tsinghua

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PI: Ercan Engin Kuruoglu
Professor, Ph.D. Supervisor
Time-Varying Data Science (TVDS) Group
Tsinghua-Berkeley Shenzhen Institute, Tsinghua University

TVDS Group aims at studying time evolution in data science. Our research interests include Statistical Signal Processing, Bayesian Learning, Computational Biology and Geosciences, Remote Sensing, etc. We are looking for the people with the same interest!


  • Post-Doctoral Positions in Statistical Learning for Data Science
    Post-Doctoral Position (2 Years) in the Time-varying Data Science Group of Prof. Ercan E Kuruoglu, Institute of Information and Data Science and Tsinghua-Berkeley Shenzhen Institute of Tsinghua University Shenzhen International Graduate School, Shenzhen, China. This will start from 1 September 2023 and applications are considered until the positions are filled.

  • Postdoc 1: Topological Data Analysis for Statistical Learning
    Keywords: Topological data analysis, graph machine learning, time-varying graph analysis, rare event modelling
    The objective is to develop ground-breaking topological signal processing and statistical learning methods for high-dimensional data. The focus lies on conducting fundamental research to derive scalable methods with robustness and statistical guarantees that form a bridge between existing topological data analysis methods and statistical learning methods with an eye on applications with time-varying data. Various applications including climate data, financial data, genomic data will be considered though the main emphasis will be in methodology development.

  • Postdoc 2: Stochastic deep learning
    Keywords: Bayesian machine learning, non-stationary data analysis
    This project aims to develop a deep learning methodology which is dynamic and statistical at the same time, that is non-deterministic and non-stationary. We will explore various methods from signal processing extending them to nonlinear systems and hence applying to neural networks.

    Applicants should have, e.g., a PhD in electrical or electronics or information engineering with a specialization in signal processing or statistical learning, or a PhD in mathematics (topology, statistics, functional analysis). You should have a track record in your research field, as evidenced by publications in top quality journals. To apply for this position, please send your CV, a one-page personal statement, full contact details of two referees, transcripts and publications to kuruoglu@sz.tsinghua.edu.cn


Secretary: Shengnan Li, lishengnan@sz.tsinghua.edu.cn
Address: Information Building, Room 1106, Tsinghua Shenzhen International Graduate School, Shenzhen, Guangdong, China (518055).