Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Assistant Professor, Shengxiao (Alex) Li (Department of Architecture) is looking for a full-time research assistant/engineer to join in January 2025 and work on projects related to migration of older people and sustainable governance. Potential projects include using LinkedIn data to examine employment networks of sustainability-related employees and their impacts on governance outcomes, and migration networks of older Americans and potential drivers. The research assistant/engineer will meet with Alex regularly and report directly to Alex. Tasks of the research assistant/engineer include but not limited to reviewing literature; collecting, cleaning, and analyzing data sets; preparing research reports and funding applications; and fitting models using network analysis or big data analytics. They will also have the opportunity to work with a group of scholars from various disciplines, including but not limited to economics, sociology and engineering, and co-author on academic papers (depending on the contributions of the person hired for this position)

The position is a one-year appointment and might be renewable based on the performance and career plan of the hired person.

To apply for this position, please include:

• A cover letter briefing your interests in this position and how your past experience fit with this position;
• Your current CV detailing your educational background, skills (language and research methods), and relevant working experience;
• A writing sample.

Alex will review the materials from early November and will conduct interviews and make a decision by the middle of November.

Qualifications

Requirements:

• A bachelor’s or master’s degree in civil engineering, data science, computational social science, or other relevant disciplines by January of 2025.
• Good time management and multi-tasking skills;
• Passion/interest in one or more topics above;
• Excellent spoken and written English;
• Highly motived and with independent working ability;
• Statistical knowledge and command at least one of the following programming languages: R/Stata/Python.
• Experience of working on literature review and data analysis.
• Experience of using network analysis methods;
• Experience of using large-scale data sets, like smartphone data, smart card data, or large-scale administrative data;

Preferred skills:

• Excellent communication and experience in interviewing in English;
• Experience in interdisciplinary collaborations and research.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Research Area: Design for an aging population.

The research associate is expected to have solid understanding of the physical and mental capabilities of elderly citizens. The task will be to determine the most important areas of physical and mental degradation that affect the quality of lives of elderly citizens as well as the remedies that have been designed to address these areas of degradation.

Qualifications

The researcher needs to have a Masters' degree with at least 2 years' relevant experience, in physiotherapy, public health, bio-medical sciences (including bio-mechanical engineering).

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

About the Asian Institute of Digital Finance (AIDF)

The Asian Institute of Digital Finance (AIDF) is a university-level institute in the National University of Singapore (NUS), jointly founded by The Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be a thought leader, a FinTech knowledge hub, and an experimental site for developing digital financial technologies as well as for nurturing current and future FinTech researchers and practitioners in Asia.

Duties and Responsibilities

• Work with the research team to build and enhance the existing IT infrastructure, related to Big Data and AI-powered digital finance research
• Build out the data pipeline that will feed into the research project
• Strong business analytics background
• Strong Mathematics background
• Strong programming skills in Python, Java and C++
• Full stack developing experience

Qualifications

• PhD in an IT or Computer Science related field
• At least 7 years of relevant experience designing and managing Big Data and Data Science infrastructure
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• Excellent communication skills, including the ability to write reports and deliver presentations to a variety of stakeholders.
• Ability to work collaboratively in a team environment and manage multiple projects simultaneously

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Most of the world now live in cities. Liveable, sustainable and resilient cities are needed to face the looming challenges of climate change, the next pandemics, ageing populations and technological, social and economic disruptions such as what we are currently experiencing. Research is taking a systems approach tackling some of our biggest urban challenges, and in the process, gradually developing a Science of Cities.

NUS Cities is taking the lead to establish an Urban Observatory (UO) for Singapore. The UO will contribute to the build-up of Urban Science research by creating the foundational data and platform to enable knowledge production, and collaboration between the research community, public sector and private entities. The UO will a) foster cross-disciplinary collaboration into urban science research building on strong foundation in NUS faculty, b) create reliable and innovative computer models, foundational data and statistics for scientist, educators and practitioners, as well as to c) inform urban governance, policy and planning with insights and recommendations.

The successful candidate will :

• Contribute towards building a cloud-based Data & Services for the UO, and UO-related scoping and proposal preparation.
• Conceptualise and prototype a minimal viable product for the UO.

This includes:

1. Assessment and recommendation of features based on product-demand fit.
2. Key specifications & use cases for point a above.
3. Meaningful stakeholder engagement models to promote collaboration and data sharing.
4. Viable business model to sustain operations and maintenance of the UO.
5. System architecture and roadmap to implement the UO.

The role is based in Singapore.

The adjunct appointment for this Senior Research Fellow position is for a contract period of 3 months with the possibility of renewal.

Qualifications

• Master’s degree
• At least 8 years’ postgraduate experience with evidence of making progress in his/her field of work
• Candidates interested in Cities and keen to delve into Urban Observatory are strongly encouraged to apply.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a full-time research fellow to work on an urban landscape optimization project. Design technology is not a novel concept; it has been widely used to address various design challenges, such as visualization and performance assessment. Although it greatly helps designers gain a more profound insight into design, it should not be just a visualization or assessment tool but an essential component of design thinking processes. This project aims to use design technology to automate the design process and potentially complement experts' designs, in order to improve the rationale and efficiency of our design.

The research fellow is expected to join at the end of 2024 or early 2025. The position is a one-year appointment and might be renewed up to 3 years based on the performance and career plan of the hired person.

Responsibility

• Develop and implement generative AI models for urban landscape planning and design
• Interpret and analyse data
• Collaborate with other team members to conduct interdisciplinary research
• Publish research findings in peer-reviewed journals and present at conferences
• Collaborate with the PI to develop research proposals and grant applications

Qualifications

• A PhD degree in environmental science, GIS, computer science or other relevant disciplines
• Good background knowledge and overall interest in design technology
• Proficient in statistical and programming skills, like Python, MATLAB and R
• Experience in spatial analysis
• Experience in using large-scale data sets
• Have strong publication records
• Excellent scientific writing and communication skills

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

This position involves working on a project related to climbing robots and their application in port operations. The objective of this role includes designing a basket for the climbing robot and developing the robot’s limbs, considering their functions. The role offers the opportunity to collaborate with the research team at the National University of Singapore, led by members from the Department of Mechanical Engineering, and specialists from a high-technology company. The successful candidate will be self-motivated with an outstanding track record in robotics, mechanical design, or related disciplines. The main research tasks for the project include, but are not limited to:

• Designing and developing the payload of an articulated vertical climbing robot.
• Designing the climbing robot’s limbs and conducting tests in real-world outdoor environments

Qualifications

• Excellent modelling skills
• Experience with mechanical design
• Experience with manufacturing
• Literature review/summarizing skills
• Good writing/spoken communication skills

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

This position involves working on a project related to climbing robots and their application for port operations. The objective of this position includes developing a climbing robot control system and designing the corresponding hardware, to control a climbing robot can climb on the containers and function as a lashing bar. The role involves the opportunity to work with the research team within National University of Singapore in which the team leaders are from the Department of Mechanical Engineering, alongside Specialists from a high technology company. The successful candidate will be self-motivated with an outstanding track record in robotics, control, computer science, or related disciplines. The main research tasks for the project include but will not be limited to:

• Designing and developing electronics hardware for an articulated vertical climbing robot.

• Implementing the control system on hardware and conducting tests in real-world outdoor environments

Qualifications

• Good coding skills in C/C++

• Experience with hardware and electronics/circuit design

• Experience with embedded system (Arduino, STM32, etc.)

• Literature review/summarizing skills

• Good writing/spoken communication skills

Responsibilities:

Graphic Design

• Design and produce high-quality graphics for various mediums, including print and digital media.
• Collaborate with other departments to develop visually appealing and cohesive marketing and publicity materials.
• Create engaging visuals for the website and assist in updating website content.
• Manage and update content on Plasma TV displays.
• Maintain and uphold brand guidelines across all design projects.

Food Photography

• Plan, style, and execute food photography sessions to create appealing images for marketing materials, social media, and the company website.
• Edit and retouch photos to ensure high-quality, professional results.

Communications and Digital Content Creation

• Assist in writing notices, eBlasts, letters, and speeches.
• Assist to produce engaging multimedia content.

Requirements:

• Minimum Diploma in Graphic Design / Multimedia or equivalent with minimum 2 years of relevant experience in graphic design, communications, and food photography, preferably in a corporate or agency setting.
• Proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign, AfterEffect) and other design software.
• Proficient in WordPress for website maintenance.
• Expertise in food photography, including styling, lighting, and editing.
• Knowledge of digital marketing strategies and tools, including social media platforms and content management systems.
• Basic writing and editing skills, with a keen eye for detail and meticulous attention to accuracy.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a full-time Research Associate to work in the Urban Climate Resilience module of the Future Resilient Systems programme, with a focus on Digital Twin-Enabled District Energy System Resilience. The appointment is for at most 12 months. The appointment is expected to start early 2024.

This collaborative research concerns the development of a digital twin for urban climate resilience, especially with respect to building operational GHG emissions, and interactive decision support. As a first pilot study, a digital twin of district energy systems was created for the NUS campus to investigate how past events and possible future scenarios can affect the resilience of these systems. This digital twin comprises a data visualization platform and building energy demand models for scenario assessment. Electricity and cooling meter data were collected for several buildings on campus, as well as WiFi connection logs providing an estimate for the number of occupants in each building. Analyzing the data showed that buildings’ cooling systems are operated in a relatively centralized way, meaning that buildings consume energy for cooling whether they are occupied or not. To explore future scenarios for the case study area, these meter data were used to calibrate building energy demand models for a baseline year. Standards were used for other buildings to make appropriate assumptions for the needs for different building typologies. The platform allows to display these simulation results in a variety of ways, such as by typology, by energy use intensity, or by energy use per capita. Different forecast scenarios have been considered to investigate how different building system operation modes can support the transition to flexible work arrangements post-COVID. The scenarios show there is a significant potential for energy savings by operating buildings in a more occupant-driven way, where only occupied workspaces are actively conditioned.

To expand the platform, additional use cases have been considered, such as modelling the campus’ thermal networks to investigate the effects of different scenarios on the existing cooling infrastructure, or investigating how electric vehicle charging could be used for load management to increase demand flexibility and thus build resilience into the electrical grid. While the actual digital twin platform is being developed as a PhD research, you would contribute to the larger research through one or more building operational energy-related case studies.

Qualifications

• Candidate must have a Master’s degree with at least 2 years’ relevant work experience, and good knowledge, skills and expertise in relevant field or PhD candidates who have at least 2 years’ experience as a fulltime PhD student and expected to complete a PhD degree within six months of starting the appointment may also be considered
• Good time management and planning;
• Excellent command of both spoken and written English;
• Highly motivated individual with capacity to work independently;
• Scripting/computer programming knowledge is required;
• Knowledge of data analytics and/or data visualization is desired;
• Expertise in building simulation and/or the application of deep learning is a plus.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

Flexible electronics lab at NUS MSE is looking for a Research Assistant to work on a soft robotics project. This position requires following responsibilities;
- Design, fabrication and characterization of soft robotic devices.
- Working on experimental setup of actuator preparation, fabrication and characterization.
- Working closely with PI and lab members.

Qualifications

• Bachelor’s degree
• Experience on Control
• Experience on Robotics
• Experience on Design
• Individual and team work ability
• Good writing and communications skills
• Risk management and problem-solving ability

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

• The candidate is responsible for the design of highspeed wireline transmitter >100Gbps.
• The candidate needs to work on the system architecture, schematic design, and mask layout.
• He/she also needs to perform pre and post-layout simulation to ensure the functionality and performance.

Qualifications

• Bachelor or Master degree in Electrical Engineering.
• Experience in EDA tools usage, including Cadence, Spectre, EMX, Synopsys, as well as Matlab.
• Some knowledge on communication system, such as BER, eye diagram, modulation/demodulation, pre-emphasis and etc.
• Open to Fixed Term Contract.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

• The candidate is responsible for the design of highspeed wireline receiver >100Gbps.
• The candidate needs to work on the system architecture, schematic design, and mask layout.
• He/she also needs to perform pre and post-layout simulation to ensure the functionality and performance.

Qualifications

• Bachelor or Master degree in Electrical Engineering.
• Experience in EDA tools usage, including Cadence, Spectre, EMX, Synopsys, as well as Matlab.
• Some knowledge on communication system, such as BER, eye diagram, modulation/demodulation, pre-emphasis and etc.
• Open to Fixed Term Contract.

Period of work: March - May 2024

Responsibilities:

1. Create communication materials such as flyers, posters, menus, brochures advertisements for various events, activities and promotions
2. Work closely with other departments to conceptualise, develop and produce suitable marketing and publicity material
3. Provide photography assistance for F&B promotions and other purposes
4. Liaise with vendors for production of print materials
5. Manage and update the website and Plasma TV as needed
6. Provide logistical support for the Annual General Meeting

Any other duties as assigned from time to time.

Requirements:

1. Min Diploma in Graphic Design/ Multimedia or equivalent
2. Proficient in various graphics, multimedia and digital design tools eg. Photoshop, Freehand, PageMaker, FrontPage, Illustrator, Flash etc
3. A teamplayer with excellent artistic and creative design skills
4. Able to work independently with initiative and a good eye for details, highly meticulous and observe all deadlines.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

This job aims to address some critical issues about realizing on-chip structured light field manipulation through inverse design. The main targets are threefold:

1. Understand in depth the inverse design in integrated photonics, and on-chip structured light. Explore new effects, novel phenomena, unique features, and high-performance devices based on inverse design structures. Research directions include high-performance topological photonics coupling and routing devices, all-optical logic and computing devices, etc.

2. Enhance the robustness of inverse design methods to accommodate lithography process errors and facilitate high-throughput manufacturing. Combining inverse design and new material platforms, the research results should be able to effectively provide useful guidance for the design of optical devices based on chalcogenide glass materials (such as GeSbSe) and phase change materials (such as SbSe), and develop new near-infrared, mid-infrared high-performance optical devices.

3. Find practical solutions, establish a unified paradigm for on-chip complex high-dimensional light field manipulation based on inverse design, and expand the application scope of inverse design. Explore the application of inverse design in topological photonics, structured light, and other fields. Finally, one or two prototypical designs should be experimentally demonstrated.

Considering the above research targets, the candidate should possess in-depth physical insights and interdisciplinary knowledge of inverse design, integrated photonics, chalcogenide photonics, structured light, topological photonics, mid-infrared photonics, SOI, etc.

Applicants with practical experience in the design, manufacturing and characterization of mid-infrared and near-infrared photonic systems are preferred.

Qualifications

1. PhD Degree in Physics, Photonics, Electrical Engineering or relevant area with a strong background in integrated photonics and inverse design.
2. Working experience in the field of inverse design, mid-infrared photonics, chalcogenide photonics, structured light, and optical logic gates.
3. Mathematics and specific knowledge required in electromagnetics, inverse design, chalcogenide photonics, phase change materials, mid-infrared photonics, and topological electromagnetics.
4. Technical proficiency:
a) theoretical and numerical modeling of inverse design structures and other physical systems with appropriate software;
b) cleanroom experience, such as lithography, film deposition, SEM, ICP, etc.;
c) optical measurements involving the transmission spectra, electric field and phase distribution, polarization manipulation and detection in various inverse design structures.
5. Candidate should have strong publication records in reputed International Journals in the field of inverse design and chalcogenide photonics.
6. Open to Fixed Term Contract

Interested applicants are invited to apply directly at the NUS CareerPortal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

This job aims to address some critical issues in the development of a multi-dimensional photodetector capable of simultaneously capturing optical information such as polarization, wavelength, and optical angular momentum. The main targets are threefold:

1. Understand in depth about the fundamental properties of light including helicity, chirality, polarization, and optical angular momentum. Investigate how these light properties interact with materials and/or structures with different symmetry properties. Research directions include chiral / nonreciprocal / nonlinear optical processes, integrated photonic devices, etc.

2. Study the symmetry properties of 2D materials as well as metasurfaces and nanostructures. The targeted design of a multi-dimensional photodetector should utilize these symmetry properties to enhance the effectiveness, robustness, and responsivity of photodetection of the various optical information, including but not limited to polarization and optical angular momentum.

3. Find the practical schemes to implement a multidimensional photodetector by integrating 2D materials / Tellurides with nanostructures that can allow effective, robust, and simultaneous photodetection of polarization, optical angular momentum, etc. The practical devices should also possess ultrathin nature, the ability to convert multidimensional light information to electrical signals, and the ability to operate at room temperature. At last, one or two prototypical designs should be experimentally demonstrated.

Considering the above research targets, the candidate should possess in-depth physical insights and interdisciplinary knowledge of 2D materials, symmetry analysis, metasurfaces etc. Practical experience in the design, fabrication, optical characterization and measurement of optical devices is preferred.

Qualifications

1. PhD degree in Electrical Engineering, Photonics, Physics or relevant area with a strong background in the design, fabrication and optical measurement of 2D materials and/or nanostructure.

2. Working experience in the design and fabrication of 2D material-based optical devices, optical characterization and measurement of optical devices.

3. Mathematics and physics knowledge in band theory, symmetry analysis, optics, and electromagnetics.

4. Technical proficiency:
• Experience in preparation/exfoliation of layered materials for making optical devices;
• Optical path setup and optical measurement under room and low temperature involving the photoluminescence and photodetection of optical information such as polarization and wavelength.

Candidate should have strong publication records in reputed international journals in the field of photonics or optics, specifically focusing on the investigation and manipulation of optical properties of 2D materials and/or nanostructures.