NII International Internship program - ON SITE research topic 3: Fuzzy Approach-based MoutFeel Discovery in Flavorlens

We are recruiting a Master student  or PhD Student as NII international internship student from universities or institutions with which NII has MOU (Memorandum of Understanding) for international exchange agreement.

Application deadline is Feb 1st, 2021 at 5 pm (Japan time).

Context:

Community extraction in graphs is a problem especially interesting with social media such as Flavorlens[AL18] because on top of providing information about the users and how they use the platform it can also be used to make recommendations and improve the user’s experience.

Objective:

the internship objective is to develop a innovative fuzzy-based approach of community detection in Flavorlens, our social network to share dish tasting experiences.

The internship student will be expected to collaborate actively with all team members and contribute to the intellectual life of the project. These responsibilities include but are not limited to:
+   Contributing substantially to research project and publications
+     Developing, evaluating and applying fuzzy computational community discovery techniques to our Social Network Flavorlens.
+     and other related tasks as they arise,
+     Communicating regularly with the project team,

This internship is part of the CRWB research initiative (Access to Cooking Recipe Without Border)

Research area: Big Data/Digital Cooking Recipe/ AI/Fuzzy Technology

Required skills: Programming skills in Java, Python, SCALA, C++.

Requirement for application: Master/PhD student

Duration: up to 6 months