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Openings for Research Scientists at Singapore Management University

  • 1.  Openings for Research Scientists at Singapore Management University

    Posted 08-01-2018 09:22

    Openings for Research Scientists at Singapore Management University

    Position 1: Maritime Traffic Safety Optimization

    A research scientist position in the area of Maritime Traffic Safety Optimization is available at the Fujitsu-SMU Urban Computing and Engineering (<g class="gr_ gr_73 gr-alert gr_spell gr_inline_cards gr_run_anim ContextualSpelling ins-del multiReplace" id="73" data-gr-id="73">UNiCEN</g>) Corp. Lab, Singapore Management University. The research scientist position is available immediately and offered for a 1 to <g class="gr_ gr_87 gr-alert gr_gramm gr_inline_cards gr_run_anim Grammar only-ins doubleReplace replaceWithoutSep" id="87" data-gr-id="87">2-year</g> term.

    The research scientist will be working with a research team to further develop and improve the navigational safety of ships by applying multi-agent route optimization. The researcher will have the opportunity to interact with Maritime and Port stakeholders such as the Port Authority, Shipping Agents and Service Providers. We will be <g class="gr_ gr_72 gr-alert gr_spell gr_inline_cards gr_run_anim ContextualSpelling" id="72" data-gr-id="72">testbedding</g> this technology in Singapore port, which is among the busiest port in the world.

    Qualifications

    Applicants should have a Ph.D. in Operations Research, Computer Science, or related fields at the time of application. The candidate should be proficient in Java programming and comfortable with at least one statistical programming environment (e.g., R or Python). The candidate should also demonstrate strong written and oral communication skills.

    Position 2: Urban Logistics

    A research scientist position in the area of Urban Logistics is available at the Fujitsu-SMU Urban Computing and Engineering (<g class="gr_ gr_71 gr-alert gr_spell gr_inline_cards gr_run_anim ContextualSpelling ins-del multiReplace" id="71" data-gr-id="71">UNiCEN</g>) Corp. Lab, Singapore Management University. The research scientist position is available immediately and offered for a 1 to <g class="gr_ gr_83 gr-alert gr_gramm gr_inline_cards gr_run_anim Grammar only-ins doubleReplace replaceWithoutSep" id="83" data-gr-id="83">2-year</g> term.

    The research scientist will be working with a research team to advance the state of the art in urban logistics, focusing on building both the optimization model and a prototype that will be ready for field trials. The candidate is expected to play an important role in co-leading the <g class="gr_ gr_80 gr-alert gr_gramm gr_inline_cards gr_run_anim Punctuation only-del replaceWithoutSep" id="80" data-gr-id="80">project,</g> and interact with multiple stakeholders, including logistics providers and government authorities.

    Our urban logistics platform is designed to provide coordinated last-mile deliveries among service providers under a myriad of complex constraints. 

    Qualifications

    Applicants should have a Ph.D. in Operations Research, Computer Science, or related fields at the time of application. The candidate should be proficient in Java programming and comfortable with at least one optimization framework (e.g., CPLEX or Gurobi). The candidate should also demonstrate strong written and oral communication skills.

    Application

    For both positions, interested applicants should submit the following materials in application to Professor Lau Hoong Chuin at hclau@smu.edu.sg:

    • Full CV with education and employment history.
    • Name and contact information for at least two references.
    • A written statement on research and/or project experience and interests.
    • Publication list and two sample publications (if any).

    To learn more about the PI of the project, visit www.mysmu.edu/faculty/hclau. To learn more about the Fujitsu-SMU Urban Computing and Engineering Corp. Lab, visit https://unicen.smu.edu.sg/

    About <g class="gr_ gr_75 gr-alert gr_spell gr_inline_cards gr_run_anim ContextualSpelling ins-del multiReplace" id="75" data-gr-id="75">UNiCEN</g>

    The Fujitsu-SMU Urban Computing and Engineering (<g class="gr_ gr_76 gr-alert gr_spell gr_inline_cards gr_run_anim ContextualSpelling ins-del multiReplace" id="76" data-gr-id="76">UNiCEN</g>) Corp. <g class="gr_ gr_89 gr-alert gr_gramm gr_inline_cards gr_run_anim Grammar only-ins doubleReplace replaceWithoutSep" id="89" data-gr-id="89">Lab</g> is jointly funded by the Fujitsu Limited and the National Research Foundation of Singapore under the Corp Lab @ University Scheme. <g class="gr_ gr_77 gr-alert gr_spell gr_inline_cards gr_run_anim ContextualSpelling ins-del multiReplace" id="77" data-gr-id="77">UNiCEN</g> is a synergistic industry-university partnership aimed at conducting industry-relevant R&D on combining AI and management science approaches to create intelligent systems to address local urban challenges and conduct test-bedding in Singapore. Our focus areas are in logistics, transportation, security <g class="gr_ gr_90 gr-alert gr_gramm gr_inline_cards gr_run_anim Punctuation only-ins replaceWithoutSep" id="90" data-gr-id="90">and</g> safety.

    Our goal is to make substantial contributions in concepts, methods and enabling computational intelligence tools to address urban flow and resource management, demand and supply management and mass and personal flow control, in highly integrated and computationally practical and applicable ways.

     

    About Singapore Management University (SMU)

    A premier university in Asia, the Singapore Management University (SMU) is internationally recognized for its world-class research and distinguished teaching. Established in 2000, SMU's mission is to generate leading-edge research with global impact and produce broad-based, creative and entrepreneurial leaders for the knowledge-based economy. SMU education is known for its highly interactive, collaborative and project-based approach to learning, and for its technologically enabled pedagogy of seminar-style teaching in small class sizes.

    The School of Information Systems (SIS) offers an exceptionally supportive and inspirational environment for academic scholarship and research, applied R&D projects, and innovative education initiatives. We currently have over 30 tenure-track faculty members working across research areas in computer science & engineering, and information systems management. They are complemented by around 20 practice & education faculty members who focus on teaching, translation and pedagogical research.

    Real-world industry sectors provide SIS with a testbed and laboratory for experimentation, as well as a fertile breeding ground for new ideas. Our faculty and students apply their research results to solve real problems in a variety of industry settings and to create IT applications and systems. At the same time, our faculty actively publish in top-quality Computer Science and Management Science conferences and journals.

    We are committed to supporting the development of our faculty. Besides start-up support and career mentoring for junior faculty, their Ph.D. students are funded by the school rather than paid from their research grants. SIS faculty members are encouraged to collaborate on innovative research projects and also on integrative and interdisciplinary projects. SMU as well as Singapore government agencies, such as the National Research Foundation, provide generous support for high-quality research proposals.



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    Shih-Fen Cheng
    Associate Professor
    Singapore Management University
    Singapore
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