Research Position Opening
We have a position opening for a Senior Research Fellow. An attractive
remuneration based on the experiences and qualifications and a standard benefit
package competitive with the industry will be provided for the successful applicant
(see below for details). Singapore also offers a very low tax rate (Tax Payable
is $550 on first $40,000 + 7% on next $40,000).
Virtual
Singapore is a dynamic three-dimensional (3D) city model and collaborative
data platform, including the 3D maps of Singapore. When completed, Virtual
Singapore will be the authoritative 3D digital platform intended for use by the
public, private, people and research sectors. It will enable users from
different sectors to develop sophisticated tools and applications for
test-bedding concepts and services, planning and decision-making, and research
on technologies to solve emerging and complex challenges for Singapore. NTU was
awarded funding to help develop computational models for use in the Virtual
Singapore platform.
We are looking for a Senior Research
Fellow to help develop computational techniques and models for the project. The
successful candidate will also help to coordinate research activities in an
exciting multidisciplinary project, in collaboration with Singapore General
Hospital (SGH) and Singapore Civil Defence Force
(SCDF), funded by National Research Foundation (NRF) under the Virtual
Singapore (VS) program. The candidate will have the chance to work in a variety
of areas including software development, data analytics, computational
modelling, 3D visualisation, crowd dynamics, optimisation, machine learning.
Demonstrable achievements and skills in
one or more of these areas is desirable.
Potential
candidates are required to have:
• PhD Degree in Computer
Science ore related field
• Strong scientific publication
record
• Track record in research
project management
• Strong programming skills on
C++, Java, and Python
• Ability to work independently
and with an international team
• Excellent analytical,
technical and problem solving skills
• Strong verbal and written
English communication skills
Interested
candidates please send CV to Prof Wentong Cai at 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
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).
About The Project –
Optimising Emergency Medical Systems Using 3D
Modelling and Simulation of Built Public Spaces – The EMS3D Project
The
EMS3D project aims to save lives and improve quality of life for victims of
mass casualty incidents, and acute medical events such as cardiac arrest and
heart attack, by developing a powerful set of tools that utilise Virtual Singapore (VS) assets to
optimise emergency medical responses. These will complement and build on (i) existing service planning efforts that use discrete
event modelling to determine placement of ambulance bases and guide land
transport via the road network; (ii) current planning activities for disaster
response and evacuation from the new Singapore General Hospital; and (iii) a
current initiative around upgrading and placement of Automated External
Defibrillators (AEDs) at a major housing estate in Singapore.
Figure
1 shows an overview of the EMS3D project. The tools developed in EMS3D will
address the built infrastructure, including what happens after emergency crews
arrive at the scene of a public space, where currently available 2D mapping
software (including navigation software such as Google Maps) have large gaps,
and the actual response depends critically on internal architecture and crowd
behaviour. Based on cardiac events alone, we anticipate that by reducing the
‘last mile’ emergency response time, survival rate can be improved.
Figure 1: Overview of the EMS3D Project
Using agent-based models, our objective is to develop
and test tools that optimise EMS preparation and
operations, enabling better facility and service planning, personnel training
and real-time guidance. By incorporating crowd-behaviour modelling, we will
target these three use cases: i) `last-mile’
emergency medical service (EMS) provision; ii) evacuation of emergency
department (ED); and iii) AED placement optimization (see Figure 2).
Figure 2: Use Cases of
the EMS3D Project
This is a multi-disciplinary project. Other key investigators involved in the
project are: Prof Peter
Sloot (NTU & UvA), Prof
Michael Lees (UvA, The Netherlands), Dr. Marcus Ong (SGH, Singapore), and Prof Russell Gruen
(ANU, Australia).
About Our Work on Agent-based Crowd Modelling and
Simulation
In our
previous projects, we have investigated and developed a tool for crowd
modelling and simulation. A generic framework for human behavioural modelling
in crowd simulation has been developed, aiming to model how humans make
decisions in real-life time critical situations. Particularly, the framework takes into
account how an agent’s decision making process is affected by experiences and
other people’s behaviour. This can be used to model the behaviour responses of
the civilians and casualties towards the incident and the actions of the
medical teams. More information about our work on agent-based crowd modeling and simulation can be found here.