Dear all,
I have two postdoctoral research or senior researcher positions in machine
learning at Great Bay University.
Current topics of interest in my group include diffusion generative models,
Schroedinger bridge based methods for generative learning, neural differential
equations, optimal transport for machine learning, causal inference for event
sequences, spatial and temporal point processes, Bayesian modelling and
Bayesian deep learning.
Application deadline: 31 August 2024
Start date: 01 October 2024 or later
Requirements
We are looking for candidates who have finished, or are about to complete, an
excellent PhD degree in computer science, mathematics, statistics, or a related
discipline. You should have demonstrated your research expertise through
high-quality publications.
You must be proficient in English (spoken and written).
About the group
The establishment of the Great Bay University (GBU)
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is a major strategic initiative under the Outline Development Plan for the
Guangdong-Hong Kong-Macao Greater Bay Area. GBU aims to serve the whole of
China and extend its influence globally. We focus primarily on science and
engineering subjects, striving to become a new type of research university that
meets international standards, embraces openness and inclusiveness, and
features distinctive regional characteristics. GBU is dedicated to leading
future developments in science and technology, industrial upgrades, and social
progress. Robust academic foundation, broad horizon, unity of knowing and
doing, and integration of disciplines are the goals that GBU pursues. With a
focus on six directions, i.e. physical sciences, advanced engineering, life
sciences, information science technology, sciences, and finance management, GBU
is committed to nurturing high-level innovative talents with creative thinking,
a global view, patriotism, and the abilities to learn for life, tackle complex
problems and innovate in practice.
Dr. Sikun Yang is an Assistant Professor at Computer Science, Great Bay
University. His research develops probabilistic machine learning models and
algorithms to solve problems arising in computational social science and
natural sciences. Dr. Yang recently moved from The Chinese University of Hong
Kong, Shenzhen where he was a research scientist, working with Prof. Hongyuan
Zha, Prof. Chris H.Q. Ding, and Prof. Mingyuan Zhou (UT Austin) on generative
models with continuous-time processes and optimal transport. Dr. Yang received
his PhD in ETIT from TU Darmstadt in 2019 under the guidance of Prof. Heinz
Koeppl.
The research group led by Dr. Sikun Yang currently has one doctor students,
three master students, and several visiting students and research assistants
from top universities in China.
How to apply
Please submit your application by email to sikuny...@gbu.edu.cn
<mailto:sikuny...@gbu.edu.cn> and include a single PDF file with the following
information:
a statement of research interests that motivates why you are applying for
this position and outlines your research agenda;
a full CV including your list of publications;
scans of transcripts and academic degree certificates;
the names, affiliations, and e-mail addresses of two people who can provide
letters of reference for you.
I look forward to hearing from you!
Best,
Sikun Yang.
--
Assistant Professor at Computer Science,
Great Bay University
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