Applicants are invited to apply for the following:

  1. RESEARCH ASSISTANT, NUS COMPUTING  
  2. RESEARCH ASSISTANT - COMPUTER SECURITY & DEEP LEARNING AT NUS 
  3. RESEARCH FELLOW - COMPUTER SECURITY & DEEP LEARNING AT NUS 
  4. POSTDOC RF POSITION IN PROBABILISTIC MACHINE LEARNING AND GAUSSIAN PROCESS MODELING 
  5. RESEARCH ASSISTANT
  6. RESEARCH ASSISTANT/ASSOCIATE IN CLOUD SERVICE DEVELOPMENT
  7. POSTDOCTORAL RESEARCH FELLOW
  8. RESEARCH FELLOW
  9. POSTDOCTORAL RESEARCH FELLOW
  10. POSTDOCTORAL RESEARCH FELLOW POSITIONS 
  11. RA POSITION IN PROBABILISTIC VERIFICATION AT NUS 
  12. RESEARCH ASSISTANT IN SOFTWARE SECURITY
  13. RESEARCH POSITIONS IN CYBER SECURITY AT NUS 
  14. RESEARCH FELLOWS/RESEARCH ASSISTANTS IN NATIONAL CYBERSECURITY R&D LAB
  15. RESEARCH ASSISTANT, NUS COMPUTING/SMART
  16. RF AND RA POSITIONS IN AMBIENT COMPUTING AT NUS
  17. RESEARCH ASSISTANT IN COMPUTER SECURITY
  18. RESEARCH ENGINEER / RESEARCH ASSISTANT
  19. POSTDOC (RESEARCH FELLOW) POSITION IN SOFTWARE SECURITY
  20. RESEARCH FELLOW POSITION IN CONSTRAINTS
  21. RESEARCH FELLOW IN DATABASE
  22. RESEARCH ASSOCIATE/FELLOW IN CLOUD COMPUTING & SENSOR NETWORKS
  23. RESEARCH FELLOWS IN TSUNAMi center on SOFTWARE AND SYSTEM SECURITY
  24. RESEARCH FELLOWS AND RESEARCH ENGINEER IN THE SINGAPORE DATA SCIENCE CONSORTIUM 

 

1. RESEARCH ASSISTANT, NUS COMPUTING 

DESCRIPTION

Applications are sought for a Research Assistant to work on a Crisis Management Simulation Project. This project is in collaboration with the Thales Group.

The project will involve investigating into crisis management capabilities, like modelling crowd behaviour, tracking crowd flow and performing symbiotic simulation to simulate various 'what if' scenarios in the event of a crisis such as bomb threat, flood, breakdown of trains, etc.

Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The RA will be using a platform called SE-Star, a simulator that has been developed by Thales. SE-Star is capable of mimicking human behaviours in various environments. The RA will investigate some of these aspects:

  • What If Scenario Exploration: virtualization of an observed situation and automatic exploration of multiple alternative scenarios potentially following this situation
  • Automatic Feedback: should one or more of the potential scenarios go wrong, advanced warnings that a problem may occur and the nature of the said problem
  • Decision Support: an automatically generated list of actions to deal with the said problem and to mitigate its consequences

Running many ‘What if’ scenarios can be costly, we will also investigate parallelizing the software to speed the simulation up, using parallel techniques such as multicore or GPU techniques.

KNOWLEDGE, SKILLS AND ABILITIES

Candidates should have a degree in Computer Science or related degree and be familiar with

o Multi-agent based systems & simulation

o Multiprocessor/multicore technology

o Candidates should be proficient in Java, C++

o Parallel programming (not compulsory but would be helpful)

PERSONAL ATTRIBUTES 

o Proficient in English (speaking and writing)

o Independent and highly motivated

o Good interpersonal communications

o Able to work in a team

Interested candidates please write (with their c.v. attached) to A/P Gary Tan at gtan@comp.nus.edu.sg

 

 

2. RESEARCH ASSISTANT, COMPUTER SECURITY & DEEP LEARNING AT NUS

DESCRIPTION:

The Computer Science Department at National University of Singapore is seeking a research assistant (RA) with expertise in deep learning and security, starting immediately. The position is for a 3 year project that aims to develop new mechanisms for analyzing deep learning models, and develop new ones for binary reverse engineering.

The project aims to develop a robust platform for using deep learning, as well as traditional program analysis techniques, for the task of machine code (binary) analysis. The project aims to establish experimental benchmarks to compare existing techniques. The end deliverable may include robust binary analysis infrastructure with a mix of deep learning and classical program analysis techniques. The investigator is Asst. Prof. Prateek Saxena.

Applicants will be selected based on their research ability and prior expertise in security / deep learnig related work. Candidates are expected to have a strong technical background in deep learning or binary analysis, and preference is given to candidates in both.

The cyber-security group at NUS offers a vibrant and collaborative environment. Candidates should be prepared to collaborate with the strong research team comprising of over 20 graduate students and staff working in a wide range of topics in cyber-security. A keen interest in system-building or developing theoretical foundations is beneficial.

JOB REQUIREMENTS :

* Having completed all requirements for a bachelors in computer science (CS), math / statistics, computer engineering or allied fields, with a strong academic record from a rigorous undergraduate program. Preference will be given to holders of Masters Degree in computer science with good technical work and experience of research demonstrated.

* Expertise in deep learning or binary analysis is strongly preferred. If the candidate has past systembuilding, security or applied cryptography research work to demonstrate, this will be considered favorable.

* Strong research aptitude relevant for the project is a must, and will be determined via interviews. Prior industry experience is not relevant. Capability to write research / academic articles is preferred.

* Committed to full-time employment at NUS, Singapore.

PROCEDURE :

If interested, please send your resume to Prateek Saxena (prateeks@comp.nus.edu.sg) and Cheryl Lee (clee@comp.nus.edu.sg) including a cover letter, CV and a brief statement of your work undertaken in previous work. The initial term of appointment will be 1 year extensible to 2 years, upon review of satisfactory performance. The selected candidates will be offered competitive salaries and benefits.

NUS is a reputed world-class university that provides an outstanding and supportive research environment. Its School of Computing is highly ranked (within the top 15) among the computing departments of the world.

Singapore is a vibrant, well-connected city with low taxes and research hub in Asia.

 

3. POSTDOC (RESEARCH FELLOW), COMPUTER SECURITY & DEEP LEARNING AT NUS

DESCRIPTION:

The Computer Science Department at National University of Singapore is seeking a research fellow  (RF) or senior research fellow (SRF) with expertise in deep learning and security, starting immediately. The position is for a 3 year project that aims to develop new mechanisms for analyzing deep learning models, and develop new ones for binary reverse engineering.

The project aims to develop a robust platform for using deep learning, as well as traditional program analysis techniques, for the task of machine code (binary) analysis. The project aims to establish experimental benchmarks to compare existing techniques. The end deliverable may include robust binary analysis infrastructure with a mix of deep learning and classical program analysis techniques. The investigator is Asst. Prof. Prateek Saxena.

Applicants will be selected based on their research ability and prior expertise in security / deep learnig related work. Candidates are expected to have a strong technical background in deep learning or binary analysis, and preference is given to candidates in both.

The cyber-security group at NUS offers a vibrant and collaborative environment. Candidates should be prepared to collaborate with the strong research team comprising of over 20 graduate students and staff working in a wide range of topics in cyber-security. A keen interest in system-building or developing theoretical foundations is beneficial.

JOB REQUIREMENTS :

* Having completed all requirements for a PhD degree. The candidates track record in publication, and strengths as an independent researcher are valued.

* Expertise in deep learning or binary analysis is strongly preferred. If the candidate has past systembuilding, security or applied cryptography research work to demonstrate, this will be considered favorable.

* Committed to full-time employment at NUS, Singapore.

* Preference to candidates with strong research background relevant for the project, determined via interviews.

 PROCEDURE :

If interested, please send your resume to Prateek Saxena (prateeks@comp.nus.edu.sg) and Cheryl Lee (clee@comp.nus.edu.sg) including a cover letter, CV and a brief statement of your work undertaken in previous work. The initial term of appointment will be 1 year extensible to 2 years, upon review of satisfactory performance. The selected candidates will be offered competitive salaries and benefits.

NUS is a reputed world-class university that provides an outstanding and supportive research environment. Its School of Computing is highly ranked (within the top 15) among the computing departments of the world.

Singapore is a vibrant, well-connected city with low taxes and research hub in Asia.

 

 

4. POSTDOC RF POSITION IN PROBABILISTIC MACHINE LEARNING AND GAUSSIAN MODELING AT NATIONAL UNIVERSITY OF SINGAPORE 

DESCRIPTION:

The postdoc fellow will be based in the School of Computing of the National University of Singapore (NUS) and have the opportunity to co-advise and collaborate with PhD and undergraduate students in our research group (for more information on our research grou and interests, visit http://www.comp.nus.edu.sg/~lowkh/research.html.

This postdoctoral fellow position is financially supported by the Singapore's MInistry of Education Academic Research Fund Tier 2 competitive grant under the project theme: "Scaling up Gaussian Process Predictive Model for Big Data" for the duration of July 2017 to July 2020. Salary is competitive, with possible support to travel to conferences for dissemination of research results.

The successful candidate should have a Ph.D. in machine learning, computer science, statistics or other related disciplines. A good publication record in the premier machine learning and AI conferences and/or journals is preferred. He/she must have a strong proficiency in programming.

If you are interested to apply, please send a short cover letter describing your suitability for the position, detailed CV with publication list (higlighting 3 selected research papers and attaching copies of them to your application), a concise description of research interests and future research plans, and academic transcripts to:

Dr Bryan Low                                                                                                                                                                        

E-mail: lowkh@comp.nus.edu.sg

Website: http://www.comp.nus.edu.sg/~lowkh/research.html

 

We will begin reviewing applications for the position immediately. For those of you who are attending the ICML 2017 conference, I will be attending as well; we can arrange a time to meet up for a discussion about this postdoc position or an interview.

   

   

5. RESEARCH ASSISTANT

DESCRIPTION:

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members one or more research projects. He/she will work on the modelling and analysis of network protocols and applications, as well as implementing tools.

BENEFITS:

In this project, the Research Assistant will

  • learn how to formally analyse a system and how to perform security analysis of system implementation,
  • learn up-to-date network attacks and their influences on network and network based systems,

  • gain experience on real-world network (SingTel) analysis, and

  • gain experience in using model checker PAT.

 JOB REQUIREMENTS:

  •  A Bachelor’s degree with Honours in a relevant area;
  •  Background or strong interests in formal analysis, security and networks;
  • Sophisticated programming skills.

 CONTACT:

 

 

 

6. RESEARCH ASSISTANT/ASSOCIATE IN CLOUD SERVICE DEVELOPMENT 

DESCRIPTION:

The Computer Science Department at the National University of Singapore (NUS) seeks one Research Assistant to work in the project on scientific Cloud services. The position is available immediately. The term of appointment will be until 31 March 2018. The selected candidates will be offered strongly competitive salaries and benefits, support to travel for the dissemination of research results, and substantial freedom to build a strong research profile of their own.

JOB REQUIREMENTS:

The successful candidate will have a least a Bachelor's degree in a relevant area of Computer Science. She/He should have relevant software development experience with Web and database applications and a strong interest in building software tools. Specific expertise and experience in Ruby (Sinatra, Sinatra template and Haml) and be comfortable with Linux and Postgres. Additional competence or interest in technologies such as Ceth, OpenNebula and MapReduce is a plus.

TO APPLY:

Send your application including a cover letter, CV and a brief statement of interests. Please e-mail your materials to Stéphane Bressan (steph@nus.edu.sg). Only shortlisted candidates will be contacted.

 

 

7. POSTDOCTORAL RESEARCH FELLOW  

The Department of Computer Science at the National University of Singapore (NUS) invites a highly talented and motivated Post-Doctoral Research Fellow to work on a project to develop user-centric data analytics and visualizations to understand urban big data. The post-doctoral research fellow will investigate and develop Machine Learning algorithms and Visualization interfaces for urban planners and residents.

QUALIFICATIONS & REQUIREMENTS:

  • PhD in Computer Science, Electrical Engineering or related disciplines
  • Expertise in ubiquitous computing, human-computer interaction, machine learning and data visualization is highly desirable
  • Experience in developing algorithms for data mining and visualizations
  • Interest and experience in working with Big Data and Urban Computing
  • Competency in developing and implement algorithms, and programming
  • Excellent writing and presentation skills
  • Ability to work independently (50%) and team projects (50%) 

APPLICATION PROCESS:

To apply, please send your research statement, CV and names of 3 referees (Name, institution, email) to Dr Brian Lim (brianlim@comp.nus.edu.sg). Only shortlisted candidates will be contacted.

 

 

8. RESEARCH FELLOW 

The National University of Singapore (NUS) invites applications for the position of  Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will be part of the NUS-Singtel Cyber Security Research Laboratory, working on a project related to providing privacy as a service. The project will involve designing and analyzing algorithms for privatizing data, as well as evaluating the privacy leakage from published datasets. An ideal candidate will have experience with anonymization algorithms, including standard concepts of privacy, such as k-anonymity and differential privacy.

JOB REQUIREMENTS:

  • a PhD degree, preferably on a topic related to privacy and algorithm design;
  • good publication record at top tier conferences; and
  • experience in privacy research.

We will also also consider candidates with strong mathematical or theoretical computer science backgrounds and an interest in privacy (but without specific experience in privacy).

(Note: to be considered for this job, the PhD thesis must already have been submitted to the department, even if the degree has not yet been conferred.)

APPLICATION PROCESS:

To apply for this position, e-mail a cover letter  and CV to: privacy.as.a.service.NUS@gmail.com

 

 

9. POSTDOCTORAL RESEARCH FELLOW 

The Department of Computer Science at the National University of Singapore (NUS) seeks a Post-Doctoral Research Fellow to work on the project "Autovision: 3D Computer Vision for Autonomous Vehicles". The post-doctoral research fellow will investigate and develop Computer Vision and Machine Learning algorithms for autonomous vehicles.

The successful candidate should have a Ph.D. or equivalent degree (Computer Science, ECE or other related disciplines), and should have a strong background on 3D Computer Vision and Machine Learning. He/she must have a strong proficiency in programming. Strong publication records in internationally recognized conferences or journals are preferred.

This position is available immediately and it is funded for 2 years with the possibility for renewal. Salary is competitive. Please send a short cover letter describing the candidates's suitability for the position, detailed CV with publication list, a concise description of research interests and future plans, and academic transcripts to:

Dr Gim Hee Lee

Department of Computer Science

13 Computing Drive, Singapore 117417

E-mail: gimhee.lee@nus.edu.sg

We will begin reviewing applications for the position immediately.

 

 

10. POSTDOCTORAL RESEARCH FELLOW POSITIONS 

The School of Computing at the National University of Singapore  is looking to fill 1-2 postdoctoral research fellow positions, working on a project titled "Data-Driven Strategic Collaboration", starting in March-April 2017 (the start date is flexible).

Successful applications will work on two major research thrusts. The first is exploring algorithmic and economic challenges in fiar division, social choice, markets, and coalition formation; the seond is transparency, discrimination and accountability in Big Data algorithms. More details can be found in http://www.comp.nus.edu.sg/~zick/research.html.

We are seeking outstanding candidates holding (or soon to be holding) a PhD in algorithmic game theory, machine learning, computational economics and other related disciplines; however, due to the broad scope of the project, applicants will a background in security, privacy, or human-computer interaction will be considered as well.

Applications will be accepted until the position is filled.

APPLICATION PROCESS:

Interested applicants should send to (zick@comp.nus.edu.sg)

1. A short cover letter describing the candidate's suitability for the position.

2. An academic CV (including list of publications)

3. A research statement (at most two pages)

4. 3 academic references (to be sent directly to zick@comp.nus.edu.sg)

Informal enquiries can be made to Yair at zick@comp.nus.edu.sg.

 

 

11. RA POSITIONS IN PROBABILISTIC VERIFICATION AT NUS

The Department of Computer Science at the National University of Singapore (NUS) seeks a Research Assistant in Probabilistic Verification starting January 2017.

The RA will be working as part of the MOE-funded project "Mobeling and Analysis of Stochastic Systems with Perturbed Parameters". 

PROJECT OVERVIEW:

Probabilistic model checking is a verification technology that has been studied actively for more than a decade and is being applied in domains as diverse as network protocol design and systems biology. The models and case studies to which the technology has been applied typically employ well understood theoretical probability distributions (such as the use of a fair coin toss) to simplify the specification of stochastic model elements (thereby allowing probabilities and other key quantitative parameters to be specified with simple constant values). However, this technology has limited ability to deal with more complex stochastic characteristics of real-world problems and systems, which are governed by probabilities and other quantitative parameters whose value must be empirically estimated and/or vary over time.

In this project, we are developing techniques for modeling and analyzing how perturbations to quantitative parameters in stochastic system models affect system verification via probabilistic model checking. We have published extensive research results to date in leading venues in formal methods and software engineering. Our research demonstrates that small perturbations to probability parameters can produce quantitatively and even qualitatively significant variation in computed verification results, and that the results obtained using existing approaches and tools can be misleading or even invalid.

The project has three main goals. First, we are developing a novel theoretical framework, including methods and algorithms of asymptotic perturbation analysis, to characterize and analyze the worst possible effect on the verification results of probabilistic model checking of stochastic system models (including DTMCs, MDPs and CTMCs), where the verification effect is due to perturbations to some quantitative system parameters. Second, we are constructing a toolkit that implements the novel algorithms in order to apply and experiment with our theoretical framework. Third, we are using the toolkit to conduct case studies on various real-world problems for a thorough evaluation of our framework and demonstration of its applicability and significance.

REQUESTED BACKGROUND:

Applicants should have a demonstrated successful track-record of prior research work in program verification and probabilistic modelling, and have a keen interest and ability to participate in high-impact research.

APPLICATION PROCESS:

If interested, please send your application including a cover letter, CV and a brief statement of prior research experience. The initial term of appointment will be one year, extensible to more years upon satisfactory performance and availability of funding. The selected candidates will be offered competitive salaries and benefits, with support to travel to conferences for dissemination of research results. Singapore is a vibrant, well-connected city with low taxes and is a global research hub centre in Asia. NUS is a world-class university that provides an outstanding, supportive research environment.

TO APPLY:

E-mail your materials or enquiries about the position to Prof David S. Rosenblum, Lead PI (david@comp.nus.edu.sg).

 

 

12. RESEARCH ASSISTANT IN SOFTWARE SECURITY   

DESCRIPTION:

The Computer Science Department at the National University of Singapore (NUS) seeks one Research Assistant to work in the project entitled "Symbolic Exploration for Finding Memory Errors". The position is available immediately. The initial term of appointment will be 1 year extensible to 2 years, upon review of satisfactory performance. The selected candidates will be offered strongly competitive salaries and benefits, support to travel for dissemination of research results, and substantial freedom to build a strong research profile of their own.

JOB REQUIREMENTS:

The successful candidate will have a least a Bachelor's degree in a relevant area of Computer Science. She/He should have relevant mathematical background and strong interest in programming languages and software engineering in general, and strong interest in building prototype software tools which implement new ideas. Specific expertise in one of the following areas is useful: software testing, program analysis, binary analysis, compilers, software model-checking, and program verification.

TO APPLY:

Send your application including a cover letter, CV and a brief statement of research interests. Please e-mail your materials to Joxan Jaffar, PI (joxan@comp.nus.edu.sg). Only shortlisted candidates will be contacted.

 

 

13. RESEARCH POSITIONS IN CYBER SECURITY AT NUS

The National University of Singapore (NUS) seeks Research Fellows and Research Assistants in cyber security starting in September 2016.

The researchers will be working as part of the new NUS-SIngtel Cyber Security Research Laboratory that was established at the end of June 2016 with funding from the Singapore National Research Foundation (NRF), NUS and SIngtel.

PROJECT OVERVIEW:

Singtel and the National University of Singapore (NUS) are partnering in a corporate research lab hosted at NUS and focusing broadly on cyber security.

Singtel is the leading provider of infocomm products and services in Singapore and the Southeast Asia region, and cyber security problems pervade every aspect of its business, including its acquisition and use of customer and partner data, the design of its hardware and software platforms, and its development of innovative consumer and business products and services. Singtel's recent acquisition of Trustwave makes it one of the major providers of cyber security solutions in the world.

The National University of Singapore is a leading global university generally recognized as the top university in Asia. It has existing peaks of strength in several areas relevant to cyber security within its School of Computing (SoC), Faculty of Engineering (FOE) and Centre for Quantum Technologies (CQT) and it has identified cyber security as a strategic growth area for research impact, technology translation, and interaction with industry.

The lab is bringing together these two leading organizations in Singapore with complimentary capabilities in cyber security to address a broad array of the most critifical challenges in cyber security for SIngaore industry and society. The lab will be directed by Prof David S. Rosenblum from NUS along with Mr Ho Pun from Singtel. The research activities of the lab will be supervised by two dozen PIs from SoC, FOE and CQT, in collaboration with engineers and researchers from SIngtel. The result will be the creation and commercialization of a significant and diverse body of new technologies in cyber security, along with the training of significant numbers of new PhDs, researchers and engineers in cyber secuirty.

PROJECT DETAILS:

The lab will conduct research in four broad areas of cyber security having strategic relevance to Singtel's business: (1) Predictive Security Analytics; (2) Network, Data and Cloud Security; Internet-of-Things and Industrial Control Systems; and (4) Future-Ready Cyber Security Systems. In addition, the lab will opportunistically expand its research to cover other emerging important problem areas and Singtel business objectives as appropriate.

REQUESTED BACKGROUND:

Applicants should have a demonstrated successful track-record of prior research work, and have a keen interest in participating in high-impact research within a large, multi-disciplinary corporate lab, and expertise in at least one of the research areas of the lab mentioned above. A keen interest in experimentation and system-building is beneficial, as is specific expertise in security and privacy, mobile computing, cloud computing technologies, networked and distributed systems, the Internet of Things, industrial control systems, and/or quantum technology. Research Fellows (RFs) must hold a PhD in a relevant area, and Research Assistants (RAs) should have completed their first degree or ideally a Masters degree in a relevant area.

APPLICATION PROCESS:

If interested, please send your application including a cover letter, CV and a brief statement of prior research. The initial term of appointment will be one year, extensible to more years upon satisfactory performance and availability of funding. Selected candidates will be offered competitive salaries and benefits, with support to travel to conferences for dissemination of research results. Singapore is a vibrant, well-connected city with low taxes and is a global research hub centre in Asia. NUS is a world-class university that provides an outstanding, supportive research environment.

TO APPLY:

E-mail your materials to nus-singtel@comp.nus.edu.sg. Informal inquiries about the position may be directed to that address.

 

 

14. RESEARCH FELLOWS/RESEARCH ASSISTANTS IN NATIONAL CYBERSECURITY R&D LAB

DESCRIPTION:

The School of Computing at the National University of Singapore invites applications for the position of Research Fellow/Research Assistant in the recently established National Cybersecurity R&D Laboratory (NCL). NCL is a national shared infrastructure that provides computing resources, repeatable and controllable experimentation environments, as well as applications services for the cybersecurity R&D community (see http://ncl.sg/). The infrastructure includes a cluster of 300 nodes that provides a wide range of provisioning mechanisms, security data as well as security environments/scenarios. The in-house R&D team conducts research in cybersecurity experimentation technology involving topics in:

  • Malware analysis & Virtualization techniques
  • Multi-agents systems and human behaviour analysis
  • Software Defined Network and Network Security
  • Automated traffic generation & cyber-range

REQUIREMENTS:

For Research Fellow Position:

  • A PhD degree in a relevant area;
  • Good publication record; and
  • Experience in research.

For Research Assistant Position:

  • A Bachelor's degree with Honours in a relevant area;
  • Experience/keen interest in research .

TO APPLY:

Please e-mail your application material to A/Prof Chang Ee-Chien (changec@comp.nus.edu.sg) and cc to Miss Cassie Pang (dcspkx@nus.edu.sg). Informal enquiry about the positions can be directed to either A/Prof Chang Ee-Chien or A/Prof Liang Zhenkai (liangzk@comp.nus.edu.sg). 

 

 

15. RESEARCH ASSISTANT, NUS COMPUTING/SMART

Applications are sought for a Research Assistant to work on the SimMobility project.

SimMobility is a simulation platform developed by the Future Urban Mobility Group in SMART (Singapore MIT Alliance For Research and Technology). It is an integrated model of human and commerical activities, land use, transportation, environmental impacts, and energy use. It is also an integrated agent based micro-simulaion model with three levels: Long Term, macroscopic simulator of land use and real estate market; Medium Term, mesoscopic simulator of activity based travel demand and Short Term, microscopic simulator of transportation network performance.

The simulator is in development stage and owing to the enormity of the project, it requires constant effort /attention to improve the performance of SimMobility in all three levels.

The project will involve applying parallel/distributed techniques to speed up the simulation. Novel techniques like use of GPU may also be investigated.

KNOWLEDGE, SKILLS AND ABILITIES:

Candidates should have a degree in Computer Science or related degree and be familiar with:

  • Transportation systems
  • Multi-agent based systems & simulation
  • Multiprocessor/mulitcore technology

Candidates should be proficient in:

  • C++
  • Parallel programming

PERSONAL ATTRIBUTES :

  • Proficient in English (Speaking and writing)
  • Independent and highly motivated
  • Good interpersonal communications
  • Able to work in a team

TO APPLY:

Interested candidates, please write (with their c.v. attached) to A/P Gary Tan at gtan@comp.nus.edu.sg.

 

 

16. RF AND RA POSITIONS IN AMBIENT COMPUTING AT NUS

The Department of Computer Science at the National University of Singapore (NUS) seeks a Research Fellow and Assistant in Ambient Computing starting August 2017.

The RF and RA will be working as part of the A*STAR-funded project "Ambient Web: Towards Write Once, Run Everywhere Mobile IoT Applications". The approach is based on the Ambient Dynamix project, which is described at http://ambientdynamix.org.

PROJECT OVERVIEW:

As networked sensors, actuators and other devices are increasingly connected to the Internet, the state of the real world is becoming accessible and controllable online in real-time. This evolution of the Internet, known as the Internet of Things (IoT), is already underway, with the current 10 billion connected devices forecast to grow to between 26 and 100 billion units by the year 2020. The aim of the Ambient Web project is to create an end-to-end "write once, run everywhere" application framework that enables mobile IoT applications to uniformly interact with underlying IoT subsystems, regardless of vendor, access technology or application-layer protocol. In contrast to existing solutions, the key concept in our approach is to transform the user's mobile device into a personal IoT gateway that can continuously sense the user's physical environment, and intelligently adapt applications' runtime behaviour and capabilities accordingly - establishing a "smart space" that moves with the user. Our overall goal is to provide a lightweight platform that both lowers development complexity and costs - supporting the development of innovative "smart apps" that leverage Singapore's unique IoT foundation to realize the Smart Nation objectives of improving health and safety, enhancing mobility, assisting with aging-in-place, and optimizing resource usage.

PROJECT DETAILS:

We envisage Ambient Web as a hybrid distributed architecture consisting of lightweight mobile device middleware that operates in concert with a scalable Web-based infrastructure that provides smart space configuration, coordination and adaption services to mobile clients. The project will define novel plug-and-play adaptation techniques that assist mobile applications to dynamically discover and compose incompatible (or unknown) IoT services at runtime, without requiring application recompilation or redeployment. Towards this end, Ambient Web will establish new crowd-sensing techniques for modelling diverse and chaotic IoT environments, and define novel context-aware search algorithms that efficiently discover and recommend relevant IoT services along with protocol translation plug-ins that can be deployed over-the-air to clients at runtime. Related, the project will explore the creation of innovative application development techniques that leverages Ambient Web's capabilities to uncover dynamic interaction possibilities between mobile applications and encountered IoT services across proximal IoT service boundaries.

REQUESTED BACKGROUND:

Applicants should have a demonstrated successful track-record of prior research work, and have a keen interest in participating in high-impact research within a small team. The RF candidate must hold a PhD or equivalent in a relevant discipline, and the RA candidate must hold a Bachelor's degree or equivalent in a relevant discipline. The Ambient Computing group at NUS offers a vibrant and collaborative environment. A keen interest in system-building is beneficial, as is specific expertise in the following areas that are relevant to the project: mobile computing (e.g., Android app development), cloud computing technologies (e.g., Apache Cassandra, Apache Kafka, Apache Spark), distributed systems, ubiquitous computing, Internet of Things, machine learning, and virtualization.

APPLICATION PROCESS:

If interested, please send your application including a cover letter, CV and a brief statement of prior research. The initial term of appointment will be one year, extensible to more years upon satisfactory performance and availability of funding. Selected candidates will be offered competitive salaries and benefits, with support to travel to conferences for dissemination of research results. Singapore is a vibrant, well-connected city with low taxes and is a global research hub centre in Asia. NUS is a world-class university that provides an outstanding, supportive research environment.

TO APPLY:

E-mail your materials to Prof David S. Rosenblum,  the Lead PI for the project (david@comp.nus.edu.sg). 

 

 

17. RESEARCH ASSISTANT IN COMPUTER SECURITY   

DESCRIPTION:

The Computer Science Department at the National University of Singapore (NUS) seeks one Research Assistant to work in the project entitled "Aduction and Interpolation for Bit-Vectors", funded by the National Research Foundation (NRF). The position is available immediately. The initial term of appointment will be 1 year extensible to 2 years, upon review of satisfactory performance. The selected candidates will be offered strongly competitive salaries and benefits, support to travel for dissemination of research results, and substantial freedom to build a strong research profile of their own.

JOB REQUIREMENTS:

A Bachelor's degree in a relevant area of Computer Science is required. The candidate should have strong interest in programming languages and software engineering in general, and strong interest in building prototype software tools which implement new ideas. Specific expertise in one of the following areas is useful: software testing, program analysis, binary analysis, compilers, software model-checking, and program verification.

ABOUT NUS:

NUS is a reputed world-class university that provides an outstanding, supportive research environment. Its School of Computing was recently ranked by QS as #1 in Asia and #9 in the world. Singapore is a vibrant, well-connected city with low taxes and a research hub centred in Asia.

TO APPLY:

If interested, please send your application including a cover letter, CV and a brief statement of research interests. Please e-mail your materials to Joxan Jaffar, PI (joxan@comp.nus.edu.sg). Only shortlisted candidates will be contacted.

 

 

18. RESEARCH ENGINEER / RESEARCH ASSISTANT  

PROJECT TITLE:

Cloud-based Multi-user Interactive Virtual Environments

JOB DESCRIPTION:

We are look for a research engineer to implement, experiment and evaluat adaptive progressive content streaming and related functions into an open source game engine (eg. unreal engine).

JOB REQUIREMENTS:

The candidate should have a degree in computer science/engineering with the following skills:

- Strong C++ programming skills and understanding of software engineering practice.

- Strong knowledge in computer graphics, rendering, computer networks and game engines.

- Knowledge in Virtualisation and Cloud Gaming

- Prior experience in developing/designing game engines will be an added advantage. Knowledge in Virtualisation and Cloud Gaming

The initial contract will be for 1 year and it is renewable. Candidates who are interested in pursuing a research degree (PhD) in the near future around the area of distributed systems, networking, multimedia, and interactive systems are strongly encouraged to apply.

For more details about the position and role, please contact banand@comp.nus.edu.sg / ooiwt@comp.nus.edu.sg

TO APPLY:

If you are interested, send your detailed CV, Degree Transcripts and Statement of Purpose to banand@comp.nus.edu.sg / ooiwt@comp.nus.edu.sg

 

 

19. POSTDOC (RESEARCH FELLOW) POSITION IN SOFTWARE SECURITY   

DESCRIPTION:

The Computer Science Department at National University of Singapore seeks Post-doctoral Research Fellow in the area of software security, starting April/May 2016 or later (the starting date is flexible).

The person will be working as part of the TSUNAMi project, see http://www.comp.nus.edu.sg/~tsunami/

This 5 year multi-investigator project aims to develop new mechanisms to detect, withstand and offer strong data protection against attacks on commodity systems composed from COTS components with rich interfaces to the cloud.

Our goal is to take a multi-pronged approach to detecting and defeating attacks on the commodity COTS systems. One sub-goal is to investigate new techniques for binary analysis for scalable vulnerability detection and auto-patching software.

Hardening existing COTS components and their verifiable composition in real systems is another sub-goal. Several global research labs, commercial firms and Singapore-based government agencies have pledged support for translating research outcomes from the project to practice.

Applicants should have demonstrated a successful track record in prior research work, and have keen interest in leading high-impact research with a team. The cyber-security group at NUS offers a vibrant and collaborative environment. Candidates should be prepared to collaborate with the strong research team compromising of over 30 graduate students and staff working in a wide range of topics in software-security. A keen interest in system-building or developing theoretical foundations is beneficial.

Specific expertise in one of the following areas is most relevant: software testing, binary analysis, compilers, software model-checking, verification, and trusted computing.

DOCUMENTS NEEDED FOR APPLICATION:

If interested, please send your application including a cover letter, CV and a brief statement of research, specifically your PhD research.

The initial term of appointment will be 1-2 years extensible to more years, upon review of satisfactory performance. The selected candidates will be offered strongly competitive salaries and benefits, with ample support to travel for dissemination of research results. Singapore is a vibrant, well-connected city with low taxes and a research hub centered in Asia.

NUS is a world-class university that provides an outstanding, supportive research environment.

TO APPLY: 

Email your materials to Ms. Jesslyn Lim (jesslyn@nus.edu.sg) with CC to Prof. Abhik Roychoudhury, Lead PI (abhik@comp.nus.edu.sg).

Informal enquiries for this particular may be directed to Prof. Abhik Roychoudhury.

Senior candidates can be considered for a Senior Research Fellow position with higher salary.

 

 

20. RESEARCH FELLOW POSITION IN CONSTRAINTS

DESCRIPTION:

A post-doctoral research fellow (RF) position in the area of constraints is available at the School of Computing (http://www.comp.nus.edu.sg), National University of Singapore, Singapore.

The position involves conducting research in a new project focusing on higher order consistencies in CP to complement and also as a replacement of generalised arc consistency. We will investigate various approaches such as transformational, novel algorithms, fundamental theory, etc. We are also interested in exploiting structured representations such as Multivalued Decision Diagrams (MDDs) together with global constraints. The position will be for 1-2 years starting from January 2016 or later.

JOB REQUIREMENTS:

  • A PhD in Computer Science, focusing on Constraints.
  • Research experience in implementing solvers, modelling problems and applying CP techniques.
  • Good programming skills, e.g. C/C++/Java.

HOW TO APPLY :

Interested candidates should send their resume and statement about their research to Roland Yap (ryap@comp.nus.edu.sg). Please also include a plan of research. While there can be some flexibility in research direction, the research should also connect to higher consistencies.

 

 

21. RESEARCH FELLOW IN DATABASE

DESCRIPTION:

The Computer Science Department at the National University of Singapore (NUS) seeks one Post-doctoral research fellow with expertise and interest in all or some of the areas of optimization, stochastic optimization, dynamic programming as well as computational topology and  topological data analysis,  and generally strong background and skills in mathematics and applied mathematics for a project in information technology infrastructural support for energy and environmental sustainability solutions for megacities, funded by the National Research Foundation (NRF), starting immediately and ending in July 2017.

JOB REQUIREMENTS:

  • A PhD degree in a relevant area of Mathematics (PhDs in pure mathematics are welcome. PhDs in related areas such computational science, theoretical computer science or engineering may be considered).
  • Experience and interest in optimization, stochastic optimization, dynamic programming as well as computational topology and topological data analysis and their applications to scientific data management and data analytics.

ABOUT NUS:

NUS is a reputed world-class university that provides an outstanding, supportive research environment. Its School of Computing was recently ranked by QS as #1 in Asia and #9 in the world. Singapore is a vibrant, well-connected city with low taxes and a research hub centred in Asia.

DOCUMENTS NEEDED FOR APPLICATION :

If interested, please send your application including a cover letter, CV and a brief statement of research, specifically your PhD research. The initial term of appointment will be 1 year extensible to 2 years, upon review of satisfactory performance. The selected candidates will be offered strongly competitive salaries and benefits, ample support to travel for dissemination of research results, and substantial freedom to build a strong research profile of their own by leading sub-teams within the research team of the centre.

TO APPLY:

Please e-mail your materials to A/P Stéphane Bressan, Lead PI (steph@nus.edu.sg). We will only reply to short-listed candidates strictly meeting the criteria above.

 

 

22. RESEARCH ASSOCIATE/FELLOW IN CLOUD COMPUTING & SENSOR NETWORKS

DESCRIPTION:

The National University of Singapore invites applications for the position of Research Associate/Fellow in the Department of Computer Science, School of Computing (SoC). Research Fellow to

  • Design, develop and analyse wireless sensor network, distributed systems (including cloud computing), information processing algorithms and optimization schemes
  • Design, develop and analyse distributed complex signal and/or event processing algorithms and schemes, e.g. signal processing, pattern recognition, machine learning

JOB REQUIREMENTS:

  • A PhD degree in Electrical Engineering, Computer Engineering, Computer Science or related fields from a good university
  • Substantial expertise in several of the following areas:
    • Wireless networks, wireless sensor networks, information fusion, optimization, data mining/analytics
    • Signal/event processing, event detection, spatio-temporal correlation and/or stream processing
    • Algorithm design, simulation and performance evaluation of sensor networks or distributed systems, including cloud computing
  • Excellent analytical, technical and problem solving skills.
  • Good publication record and excellent technical writing and presentation skills in English.
  • Strong programming skills in C/C++, Java, Matlab and/or R.
  • Hands-on experience in the development and deployment of sensor networks and/or distributed systems will be an added advantage.
  • Highly motivated, able to work independently, and a good team player.

TO APPLY:

If interested, please sened your application including a cover letter, CV and a brief statement of research, specifically your PhD research to A/P Stéphane Bressan, Lead PI (steph@nus.edu.sg). Please note that only shortlisted candidates will be notified.

 

 

23. RESEARCH FELLOWS IN TSUNAMi center on SOFTWARE AND SYSTEM SECURITY

DESCRIPTION

The Computer Science Department at the National University of Singapore (NUS) seeks 6 Post-doctoral research fellows with differing expertise for a project in software and system security, funded by the National Research Foundation (NRF), starting January 2015. These research fellows will be part of a new center on software security - TSUNAMi see http://www.comp.nus.edu.sg/~tsunami/

Several global research labs (NEC), commercial firms (Symantec, ST) and SIngapore-based government agencies (DSTA) have pledged support for translating research outcomes from the newly formed centrer to practice. The investigator team consists of Abhik Roychoudhury (Lead PI), Zhenkai Liang, Jin Song Dong, Prateek Saxena, Roland Yap and Ee-chien Chang.

This 5 year multi-investigator research center aims to develop new mechanisms to detect, withstand and offer strong data protection against attacks on commodity systems composed from COTS components with rich interfaces to the cloud. Our goal is to take a multi-pronged approach to detecting and defeating attacks on the commodity COTS systems. The specific post-doc positions will cover the following topics and thier intersection.

- Binary analysis: to investigate new techniques for binary analysis for scalable vulnerability detection and auto-patching software. This will involve analysis of program binaries.

- Binary hardening: Hardening existing COTS components to reduce unnecessary functionality through automatic transformations is an important goal of our center.

- Formal verification: Verification of component composition and protocols for communicating across components, is a focus of the center.

- Data protection: The centre also aims to protect data outsourced to external cloud services against data theft, by developing new cryptographic techniques and trusting computing support in hardware.

 JOB REQUIREMENTS

  • A PhD degree in a relevant area of Computer Science ( Security, Software Engineering, Programming Languages);
  • Good publication record;
  • Experience/ interest in building prototype software tools; and
  • Specific expertise in one of the following areas is useful:
  • software tesing, program analysis, binary analysis, compliers, software model-checking, verification, trusted computing, applied cryptography and virtualization.

ABOUT NUS and the CENTER

NUS is a reputed world-class university that provides an outstanding, supportive research environment. Its School of Computing was recently ranked by QS as #1 in Asia and #9 in the world. Singapore is a vibrant, well-connected city with low taxes and a research hub centred in Asia.

For more details about the research center, please see http://www.comp.nus.edu.sg/~tsunami/

DOCUMENTS NEEDED FOR APPLICATION

If interested, please sened your application including a cover letter, CV and a brief statement of research, specifically your PhD research. The initial term of appointment will be 1-2 years extensible to 5 years, upon review of satisfactory performance. The selected candidates will be offered strongly competitive salaries and benefits, ample support to travel for dissemination of research results, and substantial freedom to build a strong research profile of their own by leading sub-teams within the research team of the center

TO APPLY:

Please e-mail your materials to Ms. Jesslyn Lim (jesslyn@nus.edu.sg) with CC to Prof. Abhik Roychoudhury, Lead PI (abhik@comp.nus.edu.sg).