The Rapid-Rich Object SEarch (ROSE) Lab is a joint research initiative between the Nanyang Technological University (NTU) and Peking University (PKU). It aims to create a platform for fast mobile searches on object databases. The three key thrusts of the ROSE Lab are: (i) large-scale object database collection and analytics, (ii) scalable mobile object search with contextual mobility, and (iii) media cloud platform. Resources at the ROSE Lab consist of NTU & PKU Faculty, Researchers, PhD Students, and Visiting Scholars & Students from other institutions from around the world.
The successful applicant will be responsible for the development of consumer behaviour modelling algorithms, APIs, and applications.
(i) Developing probabilistic model and data mining algorithms for consumer behaviourmodelling.
(ii) Building APIs (Application Programming Interfaces) based on the developed model and algorithms, and testing them for functionality and performance.
(iii) Working with industry partners of the ROSE Lab to test and adapt these APIs to their needs.
• Master’s degree in Computer Science & Engineering.
• Excellent background in data mining algorithms, machine learning, and probabilistic models, such as topic models.
• All these requirements are a must.
• Good interpersonal skills, with the ability to work with people from varied backgrounds
Learn more about ROSE Lab at http://rose.ntu.edu.sg/
Interested applicants please attach your full CV, with the names and contacts (including email addresses) of 3 character referees, and all relevant academic certificates to WangQ@ntu.edu.sg
We regret that only shortlisted candidates will be notified.
Aplication closes when the position is filled.