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 Construction Performance Analytics & Innovation Research Unit (cPAIRu) at the Department of the Built Environment, National University of Singapore, concentrates on three primary research areas:
1) Project/Organization Performance Analytics and Innovations;
2) Project/Organization Management Strategies for Green Building & Infrastructure; and
3) Project/Organization Digitalization and Innovations.

As a leading international center for research and consultancy in the built environment industry, cPAIRu drives project and organizational innovations and fosters collaborations with both local and international academic and industry partners, while contributing to national development goals through partnerships among students and staff.

The cPAIRu is seeking a Research Assistant experienced in leading and executing research projects independently. The role demands a solid knowledge of project management and an in-depth understanding of digital transformation in the built environment industry. This includes knowledge of technological competencies, organizational readiness, regulatory and strategic developments, applications of smart technology, change management, and performance assessment. The Research Assistant's responsibilities will extend to administrative and management tasks associated with research projects, as well as pursuing a PhD degree under the guidance of the PI.

Ideal candidates should possess substantial research experience in relevant fields, robust data analysis skills, and, preferably, proficiency in programming for GenAI.

The successful applicant will perform academic development work as well as field practical work together with the other research staff/students under the guidance of the PI.

Job Requirements

• BEng/BSc in a relevant field, such as Project Management, Facilities Management, Infrastructure Management, Civil Engineering, Building Science, or related fields
• Solid knowledge and familiarity with project management, technological competencies, organizational readiness, regulatory and strategic developments, applications of smart technology, change management, and performance assessment
• Strong communication, team management, and independent problem-solving abilities
• Fluency in oral and written English

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

About Us
The National University of Singapore invites applications for Research Assistant (Engineer) in the Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine. The Alice Lee Centre for Nursing studies consist of a team of passionate and committed faculty, who takes pride in conducting multi-disciplinary and innovative research in different aspects of healthcare. Our commitment enables the translation of research into impactful healthcare outcomes and improve lives. More information on the department is available at https://medicine.nus.edu.sg/nursing/

The Role
In this position, you will be working on software engineering for implementing source code to develop a stand-alone mobile app-based platform for the collection, analysis of
data related to managing heart conditions. You will work closely with software engineers, data analysts, project managers and industry partners to produce software design and architectures for prototyping and validating platforms towards managingwellness for end users.

Responsibilities

What Will The Role Include
• Collaborate with the design team, other software engineers and product managers to design, build, enhance, and test new features
• Write clean and maintainable code that is properly tested and reviewed
• Understand the product thoroughly; Analyse, design and develop functionalities based on product requirements
• Work with researchers to implement and develop parallel and distributed systems
• Identify and fix problems to improve stability and user experience
• Explore and evaluate the practicality of new technologies to improve existing processes and/or products
• Participate in regular development meetings and client engagement events

Qualifications

• Bachelor's or Master’s degree in Computer Science, and Computer Engineering
• 2-3 years of front-end software engineering experience; candidate should prepare their software engineer portfolio repository for review
• Experience with iOS mobile app development is a must
• Knowledge of at least one of the server-side languages (Java, .NET, Python, Docker, Flask)
• Proficiency with fundamental front-end languages such as HTML, CSS, React Native, Flutter and JavaScript
• Understanding of JavaScript frameworks such as Angular JS, React
• Experience with prototyping software (Figma Developer Mode) is a must
• Candidate should be organized, meticulous, independent and has good communications skills
• Candidate should be able to work independently as well as be a player in multidisciplinary teams

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Preference will be given to those with previous experience in project management and relevant research. Informal enquiries are welcome and should be made to Dr Abhinit Kumar Ambastha, E-mail: [email protected]
Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to the NUS Career Portal.

Job Position:

Mechanical Engineer

Job Description:
We would like to recruit a Mechanical Engineer to aid our team in the development of a custom 3D printer. The machine would require a complex tool swapping system for custom built extruders. Furthermore, it will require automation mechanisms to increase production volume and efficiency
• Design and develop a 3D printer, including the kinematics, electronics, and thermal components. Generating a BOM of all parts required based on knowledge of 3D printing systems.
• Generate a detailed CAD model that shows the assembly process of the machine, to be provided to suppliers for the purchasing of parts.
• Generate custom G-Code to accommodate for the tool changing
• Generate custom G-Code for the automation mechanisms
• Include safety precautions for the multiple extruders and build plate
• Optimise the design as the project progresses through troubleshooting design flaws during testing, allowing for a more reliable printer.

Required/Preferred Skills:

• CAD Profiency
• Product Design and Design for Manufacturing & Assembly
• Electrical wiring and Electronics
• Problem-Solving
• Testing and Validation
• Project Management
• Familiarity and experience assembling and upgrading FDM systems
• Enthusiasm in building and problem solving

Required/Preferred Qualifications:

Bachelor’s or master’s degree in mechanical engineering, Mechatronics, or a related field.

Experiences:

3+ years of experience in mechanical design, preferably with building customised 3d printer experience and related AM 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

We are seeking Postdoctoral Fellows to join our research team to work with PI and co-PIs in the Department of Civil and Environmental Engineering and the Department of Architecture. The primary focus of this position is on developing destination choice models for future land use and transport systems using data-driven approaches.

Key responsibilities include:
• Collecting and analyzing relevant data.
• Designing tour-based destination choice models.
• Facilitating developed models into existing tour-based transport framework.
• Leading funded research projects, supervising research students, and preparing research proposals and reports.

This Postdoctoral researcher position is funded in the areas of urban and transport planning. Candidates should demonstrate strong expertise in discrete choice modeling, statistical modeling, and machine learning methods.

Job Requirements

• Possess a PHD degree in related discipline such as transportation engineering, operations research, computer engineering/science, or related disciplines.
• Strong knowledge and expertise in discrete choice modelling, statistical modeling, traffic simulation, machine learning, and optimization techniques.
• Proficiency in transport planning software such as EMME or PTV Visum.
• Programming expertise in at least one language, e.g., Python, Java, or C++.
• Strong written and oral communication skills.
• 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

We are seeking Postdoctoral Fellows to join our research team to work with PI and co-PIs in the Department of Civil and Environmental Engineering and the Department of Architecture. The primary focus of this position is on developing destination choice models for future land use and transport systems using data-driven approaches.

Key responsibilities include:
• Collecting and analyzing relevant data.
• Designing tour-based destination choice models.
• Facilitating developed models into existing tour-based transport framework.
• Leading funded research projects, supervising research students, and preparing research proposals and reports.

This Postdoctoral researcher position is funded in the areas of urban and transport planning. Candidates should demonstrate strong expertise in discrete choice modeling, statistical modeling, and machine learning methods.

Job Requirements

• Possess a PHD degree in related discipline such as transportation engineering, operations research, computer engineering/science, or related disciplines.
• Strong knowledge and expertise in discrete choice modelling, statistical modeling, traffic simulation, machine learning, and optimization techniques.
• Proficiency in transport planning software such as EMME or PTV Visum.
• Programming expertise in at least one language, e.g., Python, Java, or C++.
• Strong written and oral communication skills.
• 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

IC Designer, designing high frequency circuits targeting for transceiver applications, employing CMOS technology. The candidate needs to come up with novel architecture with speed, power, and area advantage compared to existing architecture.

The job also includes circuit design, pre and post-layout simulation, mask layout and PCB testing.

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.

Who We Are

As Singapore's first institute for lifelong learning, the Singapore University of Social Sciences (SUSS) champions inclusivity to bring education to all and ensure that they are given equal opportunities to develop to their fullest potential in our diverse learning environment.

We advocate for the same for our people. We believe everyone should have equal opportunities and develop to their fullest potential in their careers.

Embark on an exciting lifelong journey with us in making a positive difference in your career and serving our society.

For more information on Singapore University of Social Sciences, please visit www.suss.edu.sg

What You Will Be Doing

Job Responsibilities

• Work closely with CESG leadership and project leads to drive CESG's evidence-based projects from development and implementation to reporting and communication phases.
• Manage CESG's research and evidence-based projects, including project administration, research design, literature review, data collection and analysis, documentation, reporting, and post-project engagement
• Develop, support and/or co-lead new projects relating to CESG's strategic priorities
• Plan and coordinate community outreach and advocacy activities
• Provide cross-functional support in CESG and SUSS activities

Job Requirements

• At least 3-5 years' work experience
• Graduate degree with strong people, administrative and logistics skills
• Prior experience in social science research and/or evidence-informed community-based projects
• Good research and analytical skills, with field experience and familiarity with methodological approaches and data analysis
• Able to effectively manage multiple projects, tasks and deadlines - prior experience in project and resource management
• Able to work collaboratively in a team to achieve desired programme results
• Excellent written and spoken communication skills suited to different audiences
• Takes initiative and good at problem-solving
• Meticulous and responsible, especially in producing high-quality work
• Prior experience in event planning and communications is an advantage

Apply now

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 seeking a motivated and capable researcher to join our research group. The successful candidate will contribute to development of cultured meat and sustainability, focusing on developing innovative media and sustainable processes. This position enables the researcher to work on issues in food and sustainability.

Key Responsibilities:

• Conduct research on media development and cultured meat
• Collaborate with cell biologists, biotechnologists, team members and other stakeholders
• Scientific writing

Qualifications

Job Requirements:

• Ph.D degree in a relevant field such as cell culture, fermentation, food bioscience and food science
• Ability to work independently to plan, design and conduct experiments, analyse and interpret data
• Proficiency in English, with good scientific writing and oral communication skills
• A good understanding of media formulation, cell physiology, nutrients, growth and metabolism
• Analytical skills, especially analysis of chemical components

The Bio-inspired Robotics and Design Laboratory at SUTD (https://brd.sutd.edu.sg) is seeking to hire a Research Assistant and a Senior Research Assistant to support projects in soft grasping.

The Roles:

The Research Assistant and Senior Research Assistant will contribute to both fundamental and applied research in dexterous manipulation and grasping. They will be involved in developing advanced control systems for novel soft and hybrid mechanisms, aimed at next-generation applications in diverse environments, from harsh to delicate.

We are looking for innovative and passionate researchers eager to work within a multi-disciplinary team.

Responsibilities:

• Integrate sensors.
• Develop high-level robot control systems.
• Implement advanced low-level control and soft sensor feedback mechanisms.
• Support the design and prototyping of mechanisms for various grasping applications.
• Design and conduct manipulation and grasping experiments in both laboratory and real-world settings.
• Assist with publications and grant writing.

Key Requirements:

• Bachelor's or Master's degree in Electronics Engineering, Computer Science, Mechanical Engineering, Robotics, or related fields.
• Experience with ROS (Robot Operating System).
• Proficiency in SolidWorks.
• Experience in sensor integration and embedded system design.
• Familiarity with soft robotics and additive manufacturing processes is a plus, but not required.
• Familiarity with the use of LLMs for intuitive robot control is a plus, but not a required.

Join us in advancing the field of soft robotics and contributing to innovative solutions for complex grasping challenges!

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

About the Centre for Research in Health Systems Performance (CRiHSP)

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based in independent evaluation with the Global Burden of Disease data. The new Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yong Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia with the following core functions:

1. Research: empirical and methodological research and evidence synthesis on health systems performance with a particular focus on Value Based Healthcare.
2. Health policy intelligence: health policy impact analysis aimed at policy makers, service providers, researchers, and the wider public.
3. Capacity building: formal postgraduate programme (from certificates to PhD), fellowships, mentoring, on-the- job and ad hoc training
4. Contributing to improving NUHS performance: expert advice on the development, implementation, and evaluation of flagship initiatives (including Healthier SG) aimed at making step changes in NUHS performance, and programme evaluation

The multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators working in CRiHSP will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research. The team will further benefit from a significant expansion in related fields and collaborations with the Department of family Medicine at the National University Health System (NUHS), the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw Swee Hock School of Public Health.

Job Responsibilities

The Research Associate will have the following duties:

• Contribution to the management of research activities including grant and IRB/DSRB applications, budgeting, planning and monitoring project timelines and generally support project management and coordination and liaising with internal and external stakeholders
• Conduct literature reviews, including collation and synthesis of the literature
• Support the design, data collection, analysis and interpretation of qualitative interviews and focus groups
• Contribute to and lead (where appropriate) protocol, manuscript and report timely writing, editing and submission.
• Present work for feedback and dissemination at workshops or conferences locally and/or internationally

The post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and may have access to travel support to disseminate research outcomes at international academic conferences.

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives. Start date is flexible, with the position expected to commence in the first half of 2024.

Qualifications

About you

Applicants will be evaluated based on the following selection criteria:

Qualifications

• Masters in Life Sciences, Health & Social Sciences

Experience

• Experience in planning, managing and implementing healthcare-related research projects, from conception to completion, in a University setting (essential) - Demonstrated experience in using a range qualitative research methods (essential)
  - Track record of publishing in international peer-reviewed journals (desirable)
  - Researchers with existing research activities related to Value Based Health Care, patient reported outcomes or patient reported experiences of care are particularly encouraged to apply
  

Skills

Skills and Personal Attributes:

• Strong communication skills in English, both written and spoken (essential)
• Ability to work independently and as part of a multidisciplinary team (essential)
• Highly developed problem-solving skills and adept at managing complex problems (essential)
• Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
• Ability to work with culturally diverse populations (essential)

Interested candidates should submit a detailed CV (personal particulars, academic and employment history, full list of publications, contacts details of three (3) referees) and cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above to this job portal. Only shortlisted candidates will be notified. Applications will be considered on a rolling basis until a suitable candidate is found.

The application should include a CV and a cover letter that describes the applicant’s specific interest in joining the team. Only shortlisted candidates will be contacted.

Informal enquiries can be made to Prof Jose M Valderas at [email protected].

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 Electrical and Computer Engineering (ECE) Department at the National University of Singapore (NUS) is seeking qualified applicants for the position of Research Engineer to join our team and contribute to our ongoing research projects related to IC design.

Responsibilities:

• Explore heterogeneous systems with silicon chips being integrated on unconventional substrates such as flexible and stretchable, for ultra-low power always-on and intelligent silicon platforms.
• Work on innovative circuit techniques with very wide power-performance scaling to minimize the system energy while providing targeted levels of performance on demand. Such techniques will be investigated for digital sub-systems in advanced technologies.
• Be responsible to conduct research at the circuit level, defining and validating design options and defining new integrated circuit techniques.

We offer a competitive salary commensurate with qualifications and experience, along with a stimulating research environment and access to state-of-the-art facilities. This is a full-time position with an initial contract duration of 12 months, with potential for renewal based on performance and funding availability.

Qualifications

The candidate must possess:

• Possess a Bachelor/Master’s degree in either Electrical Engineering or strictly related (e.g., Computer, Communication, or Information Engineering).
• Activity performed in multiple research environments and industrial experience are highly valued.
• Expertise on the project scope, ultra-low power always-on and intelligent silicon platforms.
• Knowledge on circuit and system-level chip design is valued.
• Analytical and problem-solving skills.
• Open to fixed term contract.

Our client is looking for a Research Scientists who has a deep understanding of wireless technology to drive the state-of-the-art for AR/VR products. You’ll be joining a Global IT Company that develop and ship groundbreaking products at the intersection of hardware, software, and content. In this role you’ll be working with the US Team to create the state-of-the-art for AR/VR products.

Responsibilities

• In this role, you will be working with the Wireless New Technology Introduction and cross functional teams to help drive product design decisions
• You will be responsible for researching, developing and prototyping of new wireless technology in AR/VR devices
• Support the design of hardware prototypes and data collection studies
• Apply signal processing and machine learning tools to analyze datasets
• Develop demonstrations to cross-functional teams
• Communicate results to a wide range of audiences

Minimum Qualifications

• Currently has, or is in the process of obtaining a PhD in Electrical Engineering with focus on wireless technology
• Prior experience in topics related to:
  o antenna technology (antenna/metamaterial design, simulation tools, VNAs)
  o radio-frequency techniques (SDRs, radar architectures)
  o signal processing and machine learning (radar processing, perception algorithms)
• Proficient in electromagnetic simulation tools such as CST, HFSS, or equivalent
• Experience with software development in Matlab, Python, or equivalent
• Interpersonal experience: cross-group and cross-culture collaboration
• 4+ years of experience in Research

Preferred Qualifications

• Ability to communicate complex research in a clear, concise and actionable manner
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications
• Familiarity with VR, MR, AR platforms

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.

Team Introduction

Our mission in the experimentation and evaluation team is to build the next-gen A/B testing platform, that empowers the company to make data-driven decisions for the products. The supported scenarios include recommendations, push, ads, search, mobile app, UI interaction and service upgrades etc.

Our platform's capabilities cover the entire experiment life cycle, from experiment design, experiment creation, metrics calculation, and statistical analysis to final evaluation and launch. In the process of rapid iteration, we provide reliable services for businesses to make bold hypotheses and cautious verification.

Responsibilities

• Analytics: Work independently to define, design, prototype, and implement complex exploratory analysis, w.r.t both theoretical and business perspectives.
• Methodology development: Leverage deep statistical expertise to improve and/or create methodologies
• Teamwork: Participate actively and thoughtfully in multidisciplinary teams to implement algorithms in production
• Communication: Effectively communicate insights and recommendations to support decisions on future research directions
• Mentorship: Oversee the analyses of junior statisticians and data scientists, and support their professional development

Minimum Qualification

• M.S. or Ph.D. in Statistics, Econometrics, Operations Research, Mathematics, Computer Science, or other quantitative fields
• Passion for solving unstructured and non-standard mathematical problems
• Expertise in experimental design and/or Bayesian inference & optimization
• Fluency with SQL or similar
• Proficiency with Python, or other interpreted programming language like R or Matlab

Preferred Qualification

• 2 years experience with Bayesian experiment/optimization system design
• Experience with quasi-experimental causal inference (Rubin causal model/ structural causal model/ instrumental variables etc.)
• In-depth understanding and hands-on experience in wielding tools like graphs.
• 2 years experience with applying modern machine learning techniques and/or collaborating with ML scientists
• Excellent written and oral communication skills, including an ability to translate statistical methods and findings for a non-technical audience
• Comfortable with massive paper searching, reading and composing.

Aequitas Research is a leading independent equity research firm with a focus on initial public offerings and follow-on offerings/placements across Asia Pacific. We only cater to institutional clients, including some of the largest hedge funds and long-only funds in Asia Pacific. We combine fundamental bottom-up views with our proprietary quantitative framework to provide a holistic analysis.

The candidate will report directly to the Head of Research and will work closely with other analysts. We are a small and tight-knit team with a mission to add value to investors.

Responsibilities

• Conduct financial analysis and modelling, including industry studies and company valuation, using information from company filings and other public sources
• Work with the team to analyse and form an investment view on upcoming listings in the Asia Pacific region
• Effectively communicate key points to clients via research reports and client calls
• Track upcoming IPO and placement news
• Provide ongoing support to the team, as and when required with ad hoc tasks

Required Skills/Qualifications

• Experience: 0-2 years of Equity/Investment Research experience
• Degree holder ideally in Finance/Accounting/Business or Economics
• High degree of proficiency with understanding and analysing financial statements
• High degree of proficiency in written and spoken English
• Proficient with Microsoft Excel
• Strong analytical skills with ability to form an independent opinion
• Keen interest in financial markets, in particular Equity markets
• Ability to work independently under tight deadlines
• High level of attention to detail
• Resourceful, determined, and entrepreneurial
• Basic understanding of Bloomberg would be an added benefit but is not a must

Contact

• Interested candidates should send a copy of their CV to [email protected] along with a brief example of prior research work
• Only successful candidates will be contacted

Job Details:

• Contract: 1 year
• Location: Science Park
• 5 Working Days per week : Mon to Sat (off on Fri & Sun)
• Working Hours: 8-5pm
• Salary: UP $3,000
• Start Immediate

Main Duties & Responsibilities, Job Scope but not limited to:

• WB / invoice preparation
• Activities involved in inbound and outbound shipments (e.g. receive inbound shipments, paste label on outbound shipments etc.)
• Attending to emails
• Any other activities to support customer with shipments
• Need to carry boxes with dry ice up to 10KG-30KG
• Ad hoc duties

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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 Role

We are looking for a Research Fellow who will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on natural language processing for information extraction and knowledge discovery that lead to publications in top-tier international conferences and journals, as well as real-world implementations.

Responsibilities:

• Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for natural language processing with a focus on knowledge-graph approaches to address the data integrity issues, information extraction from user conversation data and dialog tree generation;
• Be up-to-date on state-of-the-art methodologies in related technical fields and application domains;
• Develop ideas for application of research outcomes;
• Contribute to knowledge exchange activities with external partners and collaborators

Requirements

• A PhD in Computer Science, with specialization related to natural language processing, machine learning, data mining, artificial intelligence or databases;
• Proven ability to conduct independent research with a strong and relevant publication record;
• Prior experience in knowledge graphs, information extraction, dialog tree generation and knowledge discovery using state-of-the-art NLP approaches.
• Experience with deep learning-based information retrieval, and/or deep generative natural language approaches for conversation AI would be a plus;
• Excellent interpersonal communication and presentation 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

The successful candidate will work with Assoc Prof Cai Zhenning on Numerical Simulation of Open Quantum Systems under a project on "Long-time Simulation of Open Quantum Systems for Spin Chains and Non-Relativistic Particles".

The main responsibilities of the position include:

1. Develop algorithms and write scientific papers for the research project.
2. Attend regular group meetings and present his research work.
3. Collaborate with other colleagues and students in the research group.

Qualifications / Discipline:

• PhD degree in Applied/Computational Mathematics

Skills:

• C/C++ and MATLAB programming languages, knowledge in partial differential equations and quantum mechanics.

Experience:

• At least two years of research experience in scientific computing

Sequential has developed the world’s first at-home skin test, that deeply analyses your skin genetics and skin microbiome. Giving you a complete picture of what you’re born with (genetics) and the environment you are in (the microbiome). https://www.sequentialskin.com/.

We have a great opportunity for a laboratory technician role to join Sequential team.The core functions of this role are to assist in the daily operation of our Molecular Biology team. These functions include performing accurate molecular-based testing, develop and validate molecualr assays.

Key duties include:

• Assist in conducting laboratory experiments related to skin microbiome analysis, including sample collection, DNA extraction, and microbial culture.
• Support senior researchers in performing molecular techniques such as qPCR, DNA sequencing, and microbiome analysis.
• Help in managing and maintaining laboratory equipment and inventory.
• Contribute to data collection, organization, and initial analysis.
• Maintain accurate and detailed laboratory records.
• Provide support in preparing reports, documentation, and presentations.
• Stay updated on basic microbiome and molecular biology techniques.

Qualifications:

• Diploma or Bachelor’s degree in Microbiology, Biotechnology, Molecular Biology, or a related field.
• Familiarity with basic laboratory techniques such as pipetting, sample handling, and microbiology protocols.
• Strong organizational skills and attention to detail.
• Eagerness to learn and work in a team-oriented environment.
• Basic computer skills for data entry and record-keeping.

Experience

• Hands-on experience on performing DNA-based test, e.g. DNA extraction, PCR and qPCR.
• Practical knowledge of basic microbiological handling techniques is highly preferred.

Attributes

• Aseptic techniques to avoid the potential for contamination are a must.
• Good time management skills are a must, in order to keep up with the pace of a busy production environment.
• Proven ability to work efficiently without close supervision.
• Act with integrity at all times and maintain a high standard of work.
• Willing to learn and have a “can-do attitude”.
• Able to take initiative, and work in a fair and responsible way.
• Can communicate clearly and effectively across multiple teams.

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 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 in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, 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 on one or more research projects. In particular, the research assistant is expected to have solid HCI skills including user study, interviews, usability testing, prototyping, workshop. It is a plus if the RA has hands-on research experience with virtual reality & augmented reality and machine learning system, and/or a strong publication record in top venues.

Qualifications

• A BSc or MSc degree in Computer Science or related field
• Experience in research and strong publication record
• Strong systems development skills
• Prior experience with virtual reality (VR), augmented reality (AR) and machine learning (ML) systems

Only shortlisted candidates will be notified.

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 National University of Singapore invites applications for the position of Research Associate 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 Associate will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Programming Languages & Software Engineering

Qualifications

• A Master’s degree in a relevant area;
• Experience in research.

Only shortlisted candidates will be notified.

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 NUS Centre for International Law (CIL) is inviting applications for a one-year Research Fellow position to contribute to the development and research of the International Dispute Resolution (IDR) programme. Candidates with experience in public international law, including in international tribunals such as the International Court of Justice, are encouraged to apply. The focus topic of the IDR programme is disputes involving States and includes issues related to alternative dispute resolution, international courts and tribunals and peace and security.

The duties of the incumbent will include:

• Conducting research and writing on current issues related to the resolution of disputes involving States;
• Contributing to the development of the IDR programme's research agenda;
• Publications in top tier peer-reviewed journals;
• Development and implementation of conferences, seminars, workshops, and trainings related to international dispute resolution.

The IDR Research Fellow can look forward to working in a small team with a short reporting line and interactions with practitioners in the field. The successful candidate will also have the opportunity to collaborate with other CIL research teams and experts, and to attend conferences and workshops.

Qualifications

• A PhD in relevant area of international law or equivalent experience;
• At least 2 years working experience;
• Proven records in conducting independent research;
• Strong analytical and writing skills - experience with publication of journal articles is desirable;
• Ability to produce academic writing as well as background papers/reports;
• Demonstrable interest in public international law and dispute resolution;
• Strong organisational and communications skills;
• Fluent language skills in English are required;
• Pro-active personality, with the ability to make suggestions and be a hands-on contributor; and
• Tech-savvy.

Application Procedures

Interested applicants are invited to apply directly via the NUS Career Portal with the following supporting documents:

• A covering letter (no more than 1 page) detailing motivations, relevant experience and why the candidate should be considered for the position;
• A detailed CV (no more than 3 pages);
• 1 sample of written work; and
• Names and contact details of 4 referees, including PhD supervisor

Please note that only shortlisted candidates will be notified and invited for an online Zoom interview.

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 successful candidate will work with Dr Gloryn Chia on developing cancer immunotherapies.

We are seeking a highly motivated Research Fellow with expertise in immunology or oncology to join our team. The successful candidate will work closely with clinicians and scientists to develop innovative platforms for identifying and validating novel immunotherapies, with a focus on studying the intricate interactions between T cells and cancer cells. This role will involve assessing and advancing therapeutic strategies, including vaccines targeting neoantigens and other novel antigens, to treat cancer and other human diseases.

The ideal candidate will independently design and execute experiments, troubleshoot technical challenges, interpret complex data, and deliver progress updates. This position offers an opportunity to contribute to cutting-edge research aimed at understanding fundamental immune mechanisms and translating these insights into cancer treatment. Passionate and driven individuals committed to advancing the field of immunotherapy are strongly encouraged to apply.

The main responsibilities of the position include:
Performing and designing experiments

Qualifications

• Qualifications / Discipline: PhD in Immunology, Cell Biology, or a related field, with a demonstrated track record of high-quality publications in peer-reviewed journals.

• Skills: Cell culture, molecular cloning, and animal studies (including mouse handling and experimentation), among other relevant laboratory techniques.

• Experience: In vivo and in vitro research experience

Job Description

We are looking for a highly-motivated research scientist to work on exciting projects in Cybersecurity (AI for Cybersecurity). Need Strong programming skills and familiarity with Cybersecurity and Artificial Intelligence.

Successful candidates will have the opportunity to work with a world-class interdisciplinary team comprising malware, networking, cybersecurity, machine learning, and deep learning experts. Research scientist will also work closely with industry partners and interact with them to understand their real-world needs. The successful candidate will also engage in project scoping with industry companies to develop a solution to address cybersecurity enterprise application needs.

We are looking for candidates with the following key soft attributes:

• Ability to learn
• Willingness to learn
• Strong interest in cybersecurity domain

Job Requirement

• PhD degree in Computer Science, Computer Engineering, Information Technology or related fields, Knowledge or experience in cyber security, network security, system security using Artificial Intelligence
• Knowledge or experience in cybersecurity, network security, or system security using AI
• 2-3 years of working experience in related research areas is a plus
• Publications in top-tier security venues (IEEE S&P, NDSS, USENIX Security, ACM CCS) are expected
• Proficient with DL programing frameworks in Python
• Strong interest in AI for Cybersecurity
• Ability to work independently, as well as in teams - highly desired
• Ability and willingness to learn and adapt - highly desired
• Good team player with both research and engineering ethics
• Good interpersonal skills and communication skills for proposals, reports, and publications

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Responsibilities

• Prepare comprehensive reports and presentations on current and prospective investments, including valuation assessments and performance analysis.
• Oversee the preparation of Management Accounts and Financial Statements, ensuring compliance with statutory requirements both locally and globally.
• Provide support for investment activities, focusing on financial products such as public equities and real estate investments.
• Act as the main liaison with tax service providers to ensure compliance with jurisdiction-specific tax regulations, primarily in Singapore and the United States.
• Facilitate trade executions and maintain relationships with private and retail bankers for investment activities in key markets.
• Stay informed about financial markets and trends, with a strong understanding of private and public market dynamics.
• Undertake ad-hoc project management responsibilities to support the team’s operational and strategic goals.
• Collaborate with cross-functional teams to enhance analytical insights, improve reporting capabilities, and support decision-making processes.

Requirements:

• A minimum of 2 years of professional experience within the finance or investment industry, preferably in asset and wealth management.
• Hands-on experience with the U.S. stock and property markets, demonstrating strong market understanding.
• Advanced proficiency in Microsoft Office, particularly Excel and Word, for analytical and reporting purposes.
• Strong analytical acumen with excellent organizational, teamwork, and communication skills, alongside full fluency in English.

Please submit your updated resume in Word format by using the Apply Now Button.
We regret that only shortlisted candidates will be notified.

Email resume to [email protected]

People Profilers Pte Ltd, 20 Cecil Street, #08-09, PLUS Building, Singapore 049705.
Tel: 6950 9724

http://www.peopleprofilers.com
EA License Number: 02C4944
Registration Number: R1872398

Posting Personnel: Ng Jwee Ken

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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 seeking a motivated and innovative Postdoctoral Research Fellow to join our team. The successful candidate will contribute to the development of advanced exhaust treatment catalyst materials and devices for ammonia (NH₃) combustion engines. This role involves cutting-edge research at the intersection of catalysis, materials science, and environmental engineering, aimed at enhancing the efficiency and sustainability of NH₃-based combustion technologies.
Key Responsibilities:

1. Design and synthesize novel catalyst materials for exhaust treatment in NH₃ combustion engines.
2. Evaluate the catalytic performance under realistic exhaust conditions, focusing on activity, selectivity, and durability.
3. Develop integrated catalyst-device systems for optimal emission control and reduction of harmful byproducts.
4. Collaborate with interdisciplinary teams, including materials scientists, chemical engineers, and environmental researchers.
5. Utilize advanced characterization techniques (e.g., electron microscopy, spectroscopy) to analyze catalyst structures and performance.
6. Optimize catalyst formulations and device configurations to meet regulatory and performance standards.
7. Prepare high-impact research publications, patents, and technical reports.
8. Present findings at scientific conferences and contribute to grant proposals for continued research.

Qualifications

Educational Qualification:

• A Ph.D. in Heterogeneous Catalysis, Materials Science, Chemical Engineering, or a closely related field.

Technical Expertise:

• Highly skilled in catalyst design, synthesis, and characterization.
• Extensive experience with high-end electron microscopy techniques, including but not limited to aberration-corrected TEM/STEM, EELS, and in situ/operando methods.

Professional Experience:

• Proven track record of extensive hands-on experience in heterogeneous catalysis research.
• Demonstrated ability to tackle complex scientific challenges and deliver innovative solutions.

Personal Attributes:

• Strong team spirit, with the ability to collaborate effectively across interdisciplinary teams.
• Optimistic and forward-thinking, with a solution-driven approach to problem-solving.
• Self-motivated and able to work independently while managing multiple tasks and deadlines.

Communication and Collaboration:

• Excellent verbal and written communication skills.
• Strong ability to present research findings in academic and industry settings.

Research Excellence:

• A record of publishing high-quality research articles in peer-reviewed journals.
• Experience with preparing technical reports, patents, or grant proposals is an advantage.