Research Position Opening
Research Scientist/Research Associate (RA): City-Scale
Digital Twin of Road Traffic to Increase Sustainability
A Research Associate (RA) position is
available at the Parallel and Distributed Computing Lab (PDCL), College of
Computing and Data Sciences (CCDS), Nanyang Technological University (NTU),
Singapore. This joint project with Alibaba focuses on large-scale road traffic
simulation in order to reduce emissions while
increasing traffic efficiency. Achieving this goal requires accurate and
up-to-date models of current real-world traffic conditions as well as methods
for fast simulation to support real-time decision making and what-if analyses. Hence,
methods will be developed for fast data-driven creation and calibration of
traffic models, with an emphasis on approaches for data assimilation from
real-time sources. Intelligent scheduling mechanisms to execute simulation runs
in the cloud will ensure timely results, together with new approaches to
support the parallelization of individual simulations by model analysis,
variable model fidelity, and the use of hardware accelerators such as graphics
processing units (GPUs).
Research Scientist
Research Engineer/Research Scientist
Research Associate (RA): AI-Driven Combinatorial
Optimization via Simulation
A Research Associate (RA) position is
available at the Parallel and Distributed Computing Lab (PDCL), College of
Computing and Data Sciences (CCDS), Nanyang Technological University (NTU),
Singapore. The project focuses on neural solvers for complex combinatorial
optimization problems to support the decision-making in areas such as
healthcare scheduling and supply chain delivery planning. As the candidate
solutions must be evaluated using computationally intensive simulations,
methods for reducing the cost of individual simulations and the number of
candidate solutions to be evaluated will be developed to best serve the needs
of the AI training process while minimizing computational cost. Approaches for
fast and accurate data-driven calibration will ensure practical applicability
of the identified solutions by reducing the sim-to-real gap. The project offers
the opportunity to work at the cutting edge of the intersection between
simulation, combinatorial optimization, and artificial intelligence.
Candidates should hold a degree in
computer science, artificial intelligence, or adjacent fields. Previous
experience with modelling and simulation, artificial intelligence, or parallel
and distributed computing will be advantageous. Please email your CV including
transcripts and relevant experience to Professor Wentong Cai (aswtcai@ntu.edu.sg).
About Modelling and
Simulation Group at NTU
The Modelling and Simulation (M&S)
group led by Prof Wentong Cai has been conducting impactful research in M&S
over two decades. The group has
published extensively in top venues in the area such as ACM TOMACS, SMPT
(Elsevier), IEEE TPDS, FGCS (Elsevier), JPDC (Elsevier), and ACM SIGSIM PADS
and has won 12 Best Paper Awards in international conferences. Recent ones include WSC’22, SIGSIM PADS’21,
WSC’20, IEEE/ACM DS-RT’18, ACM SIGSIM PADS’18, and ACM SIGSIM PADS’17. Many alumni of the group now work as Professors
in leading universities in Europe and China or Research Engineers in leading IT
companies world-wide such as Microsoft, Alibaba, Tencent, and Huawei.
The research of the group mainly focuses
on the intersection between Computer Science and M&S. The current research interests include: performance and scalability of discrete event
simulation, large-scale distributed virtual environment and cloud gaming,
dynamic data-driven agent-based modelling and simulation, and agent-based
simulation applications (e.g., crowd and traffic simulation).