Research Position Openings
The Complexity Institute at Nanyang Technological University, Singapore, has openings for several research positions for up to a 2-year term (with a possibility of extension). 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.
The successful candidates will be part of a research team working on 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 project is focused on using agent-based modelling and simulation technologies to optimize the preparation and operation of emergency medical services (EMS). The following three specific problems will be addressed in the project: i) EMS provision for incidences at crowded places; ii) evacuation of Emergency Department (ED); and ii) placement of Automated External Defibrillators (AEDs) in housing estates.
1) Research Fellow
· Ph.D. in Computer Science / Computational Science or related discipline from reputable universities
· Strong research experience in modelling and simulation, optimization, or data analytics
· Excellent publication track record in one of the above mentioned areas
· Strong project management experience with excellent planning skills
2) Research Associate
· At least Master’s Degree in Computer Science / Computational Science or related discipline from reputable universities
· Experience in modelling and simulation, optimization, or data analytics
· Strong research skills
3) Project Officer / Software Engineer
· At least Bachelor’s Degree in Computer Science / Computer Engineering or related discipline from reputable universities
· Demonstrated knowledge in 3D modelling and visualization, or data analytics
· Experience with large-scale software development and integration
Potential candidates are required to have:
· Strong programming skills on C++, Java, and Python
· Ability to work independently and with a team
· Excellent analytical, technical and problem solving skills
· Strong verbal and written communication skills
For more information about this project, interested candidates can contact Prof Wentong Cai at .
Interested applicants please send your full CV, a letter of application, with the names and contacts (including email addresses) of 3 character referees, and all relevant academic certificates to Ms Ng Bee Wee via email at email@example.com.
We regret that only shortlisted candidates will be notified.
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 (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 .