Postdoc Research Fellow on Information propagation models and algorithms in graphs

Job offer posted on 8 june 2022

DesCartes Program (Work Package 2) is looking for one Postdoc (Research Fellow) on Information propagation models and algorithms in graphs


The DesCartes programme is developing a hybrid AI, combining Learning, Knowledge and Reasoning, which has good properties (need for less resources and data, security, robustness, fairness, respect for privacy, ethics), and demonstrated on industrial applications of the smart city (digital energy, monitoring of structures, air traffic control).

The program brings together 80 permanent researchers (half from France, half from Singapore), with the support of large industrial groups (Thales SG, EDF SG, ESI group, CETIM Matcor, ARIA etc.).

The research will take place mainly in Singapore, at the premises of CNRS@CREATE, with a competitive salary and generous funding for missions.

Read more about the DesCartes program here.


WP2 is hiring a postoctoral research fellow interested in learning and optimization with graphs. 

Starting from existing information diffusion / epidemic models and algorithms in graphs (social networks, electrical grids, etc), we intend to advance the state-of-the-art by leveraging deep-learning based methods, for various problems of information diffusion in graphs. Data complexity, scale, real-world constraints (including physics-informed aspects), dynamicity, limited resources, will be among the dimensions we intend to account for in our research.

The postdoctoral fellow will be based in the CNRS@CREATE office and will be financially supported by DesCartes Program. She / he will have the opportunity to collaborate with/co-advise PhDs student in this area of research.



    Ph.D. in computer science, computer engineering, machine learning, statistics, math, data science. She / he must have a strong proficiency in programming.


    A good publication record in premiere Compute Science / Machine Learning / AI conferences  or journals.


    1. Artificial intelligence
    2. Data mining


      Salary range: 6000-7200 (Research Fellow)

      Workplace Address: CREATE Tower (NUS Campus), 1 Create Way #08-01 Singapore 138602

      Please send a short cover letter describing your suitability for the position, detailed CV with academic ranking (if any) and publication list, a concise description of research interests and future plans, and academic transcripts to:


      Prof. Xiaokui XIAO

      Prof. Bogdan CAUTIS


      We will begin reviewing applications for the positions immediately.