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The Living Analytics Research Centre (LARC) is a research centre set up in Singapore Management University (SMU) with Carnegie Mellon University (CMU) as our strategic partner that focuses on behavioural and social network analytics in the fields of Urban and Community Liveability, Personalised Urban Mobility, Jobs and Skills Intelligence, as well as Smart Consumption and Healthy Lifestyle. Candidates who join us can also expect to gain a deeper knowledge in the following areas such as Big Data Analytics, Data Mining, Machine Learning, Deep Learning, Human Computer Interaction, Urban Computing and other relevant disciplines.


(1) Research Engineer

Job Description

The candidate will be working on key initiatives and projects with external partners in the following aspects:
  • Develop new data analytics and crawling capabilities
  • Develop and maintain real-time data analytics services and systems
  • Create prototype/application to showcase centre’s analytics capabilities
  • Showcase LARC’s applications at conferences
  • Assist other researchers to collect and extract relevant data

Requirements

  • Bachelor/Master Degree in Computer Science/Engineering or relevant disciplines
  • Good knowledge of Databases, Data Mining, Distributed Computing, Operating Systems
  • Proficient in at least one or more of these programming languages: Java, Python, C#, C++, C
  • Experience in the following technologies is an advantage:
    • Elasticsearch
    • Apache Storm
    • RabbitMQ
    • Redis
    • MySQL, Postgresql
    • Tomcat, NodeJS, Apache, Nginx and Xampp
    • Linux Environment (CentOS 6.x, Ubuntu 14.x), Bash Scripting
    • Virtualization (VMWare, KVM, Vagrant, Docker)
    • GPU Computing and Deep Learning
  • Self-motivated and able to carry out tasks independently
  • Excellent team player and possess strong inter-personal skills
(2) Research Scientists / Post-Doctoral Research Fellows

Job Description

The Research Fellow/Scientist will work with faculty researchers on one or more of the following research topics in the urban/social computing, smart cities and consumer business domains.

  • Data and Text Mining
  • Deep Learning
  • Recommender Systems
  • Big Data Infrastructure
  • Machine Learning
  • Crowdsourcing
  • Social-Urban Sensing

The candidate will also be responsible for one or more of the following aspects:

  • Design research methodologies
  • Develop algorithms and models
  • Conduct data science studies
  • Design and conduct experiments
  • Design and implement applications, tools and systems
  • Develop analytics capabilities in big data infrastructure

Requirements

  • PhD in Computer Science or related disciplines
  • Good knowledge in relevant research topics and possess related research skills
  • Proficient in at least one or more of these programming languages: Java, Python, C#, C++ and C
  • Self-motivated and able to carry out tasks independently
  • Excellent team player and possess strong inter-personal skills
  • Analytical and meticulous with attention to details
The salary for these positions will be based on the candidate’s relevant experience and qualifications.

To apply, send your application materials to larc@smu.edu.sg

 

Last updated on 13 Feb 2018 .