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3 Research Scientists Openings at Fujitsu-SMU Urban Computing and Engineering (UNiCEN) Corp. Lab

  • 1.  3 Research Scientists Openings at Fujitsu-SMU Urban Computing and Engineering (UNiCEN) Corp. Lab

    Posted 02-28-2019 22:45

    Three Research Scientist Openings @ the Fujitsu-SMU Urban Computing and Engineering (UNiCEN) Corp. Lab

    Position 1: Large-Scale Optimization using Quantum-Annealing

    A research scientist position in the area of Optimization is available at the Fujitsu-SMU Urban Computing and Engineering (UNiCEN) Corp. Lab, Singapore Management University. The research scientist position is available immediately and offered for a 1 to 2-year term.

    The research scientist will be working with a research team to research and develop methodologies for solving large-scale optimization problems. In particular, there is a recent interest in quantum-inspired annealing methods that seem to out-perform the standard simulated annealing. We are interested to examine whether Quantum Annealing (QA) be exponentially faster than Classical Simulated Annealing without compromising solution quality on combinatorial optimization problems. And we like to compare with traditional heuristic optimization techniques such as parallel multi-start simulated annealing, genetic algorithms running on clusters.

    Qualifications

    Applicants should have a Ph.D. in AI, Operations Research, Computer Science, or related fields at the time of application. The candidate should be proficient in Python programming and knowledgeable in tools such as CPLEX or Gurobi. 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 (UNiCEN) Corp. Lab, Singapore Management University. The research scientist position is available immediately and offered for a 1 to 2-year 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 project, 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, AI, or related fields at the time of application. The candidate should be proficient in Java programming and have a research background in logistics/transportation. The candidate should also demonstrate strong written and oral communication skills.

     

    Position 3: 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 (UNiCEN) Corp. Lab, Singapore Management University. The research scientist position is available immediately and offered for a 1 to 2-year 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 testbedding this technology in Singapore port, which is among the busiest port in the world.

    Qualifications

    Applicants should have a Ph.D. in AI, Computer Science, or related fields at the time of application with a background in Multi-agent systems. The candidate should be proficient in Python programming and comfortable with tools such as CPLEX and constraint programming solvers. The candidate should also demonstrate strong written and oral communication skills.

     

    Application

    Interested applicants please contact Professor Lau Hoong Chuin at hclau@smu.edu.sg directly. Applicants are expected to submit:

    • 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 UNiCEN

    The Fujitsu-SMU Urban Computing and Engineering (UNiCEN) Corp. Lab is jointly funded by the Fujitsu Limited and the National Research Foundation of Singapore under the Corp Lab @ University Scheme. UNiCEN 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, and 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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