Research Assistant in Engineering Systems and Design

Interactions through social networks have been in constant rise for the past decades especially through Facebook, LinkedIn, Snapchat, Twitter and many such network portals. One wonders how to optimally disperse information in such networks. Understanding the structure of the network is critical to achieving this goal. The popular social networks are usually huge (in the order of a few millions, if not billions of participants) and hence there is a need to identify network or graph structures in these complex networks quickly and possibly via a reasonably small sample. In this part of the project, we will use concepts from optimal transport and dimension reduction techniques in understanding such networks.

Qualification: Bachelor's degree or equivalent in Engineering, Mathematics or related discipline

Skill: Familiarity with statistics and probability modeling. Interest in broad mathematical modeling and familiarity with measure theory, convex analysis will be an asset. For interested applicants, please send your resume to bikram@sutd.edu.sg.