1 Research areas and focus

Mathematical modeling is indispensable in guiding solutions for complex problems, obtaining compact representations of data, and abstracting, predicting, controlling and understanding real-world systems. Mathematical models often assume different types of mathematical objects, operators and algebras. The models describe deterministic phenomena as well as capture statistical and causal relationships, and consolidate empirical observations with specific domain knowledge under implicit, explicit, structural and other constraints. The research topics of particular interest include but are not limited to developing strategies for automated model building, devising universal data processing workflows, working with hierarchical, heterogeneous and multi-scale models, analyzing models in very high-dimensional spaces, processing stochastic signals under various constraints, devising explainable and interpretable modeling and data processing strategies, testing and validating models, designing computer experiments, and similar. The applications of fundamental theory of particular interest are wireless mobile networks, AI systems, robotics, high-performance and intelligent computing, intelligent transportation systems, as well as computational biology and bioinformatics.

2 Requirements

• The candidate should have skills and demonstrated research experience in developing and applying methods of statistical and causal inference, classical or modern machine learning, non-convex optimizations, reasoning under uncertainty, and similar; or,
• The candidate should have excellent mathematical background in stochastic processes, stochastic differential equations, stochastic geometry, neural networks, wavelets, discrete mathematics, mathematical logic, non-linear modeling, and similar; or,
• The candidate should have skills and demonstrated experience in developing and implementing computational and numerical algorithms in Python and C/C++, or other programming languages suitable for high performance scientific computing on CPU/GPU/HPC.

3 General Eligibility

• The applicant shall be under 35 years old, and be already residing in China.
• The applicant has obtained their PhD degree within the past three years from the domestic C9 universities, or from “A plus” disciplines of the fourth round of the National Discipline Assessment by the China Academic Degrees & Graduate Education Development Center, or from other top overseas university.
• The applicant should have a good track record in research through high quality publications and participation in research projects. The applicants are expected to be highly-motivated, capable of working independently as well as in collaboration with others, be of good moral character and be in a good health.

The applications will be considered until the positions are filled.

4 Application Procedure

The applicants shall submit their resume (including basic personal information, study and work experience, participation in research projects, and list of publications), 5 representative papers, contact information for three referees, and other relevant materials by email directly to Prof. Pavel Loskot for initial screening. The shortlisted candidates will be interviewed at the Institute, and then recommended to Zhejiang University for approval. The approved candidates will be then guided through the registration procedure.

5 Terms of Employment

The successful candidates will become employees of the Institute under management of Zhejiang University. They will carry out research work under the guidance and in collaboration with Prof. Pavel Loskot at the ZJU-UIUC Institute located at the International Campus of Zhejiang University in Haining, Zhejiang province, China. The candidates will be subject to performance assessment according to the regulations of Zhejiang University on managing the post-doctoral researchers. The candidates will enjoy all the benefits offered by Zhejiang University to postdoctoral researchers. The attractive salary package is commensurate with the experience and previous achievements of the candidates. An annual bonus can be awarded based upon the performance and publications.

6 Contact

For any queries, or to submit the application materials, please email Pavel Loskot at pavelloskot@intl.zju.edu.cn