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

Duties & Responsibilities
1.Recruit, train, assess and supervise personnel performing recruitment and interviewing to ensure quality of the participant data.
2. Manage the recruitment listings and study visit scheduling to ensure response rates and operating capacity are maximised, and project timelines are being met
3. Design, test, implement and review new workflows or surveys
4. Recontact participants to verify and rectify collected information
5. Ensure participant information in the operations database is updated and accurate and the completed consent and data forms are accounted for and securely stored
6. Record and track the submission, rework or rejection of consent forms and questionnaires and generate reports on data quality
7. Investigate participant complaints and incidents and implement appropriate actions for continual improvement of processes and service
8. Supervise and guide callers, interviewers and recruiters on professional conduct and responsiveness to ensure participant satisfaction and willingness to contribute for the long-term
9. Compute monthly payments to the recruiters
10. Manage the cash and vouchers for the reimbursement to participants of various projects

Qualifications

• A degree holder, preferably from a biomedical or life science discipline
• Minimum 3 years of working experience and 1 year of supervisory experience
• Clear and good communication skills
• Careful and meticulous with data management
• Fluent in English and at least 1 other local language (for examples Malay or Chinese) to be able to understand and communicate with research participants who are only able to speak Malay or Chinese
• Proficient in Microsoft applications

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 Prof. Mandar Chitre on the research on medium access control (MAC) under space-time coupling mesh-connected networks.

The main responsibilities of the position include:

• Conduct in-depth analysis of medium access control (MAC) in mesh-connected underwater acoustic networks (UANs), focusing on space-time coupling characteristics.
• Investigate the impact of space-time coupling on MAC performance, including access capacity and network efficiency, in mesh-connected UANs.
• Design and optimize topology-shaping techniques for mesh-connected UANs to enhance network performance.
• Simulate and test the proposed algorithms and network designs to evaluate their effectiveness in improving access capacity and reducing interference.
• Work collaboratively with interdisciplinary teams to align research findings with practical applications in underwater resource development.

Qualifications

PhD in Electrical Engineering, Computer Science, or a Related Field, with a focus on one or more of the following areas:

• Wireless Communications
• Underwater Acoustic Communications
• Network Protocols and Medium Access Control (MAC)
• Signal Processing

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 job holders are to work with PI and the research team to process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Proven as a fast learner of conducting literature search and literature summary
• Experiences of VOC speciation via chromatography and/or online real-time detection instrument (e.g., PTR-MS)
• Proficient of handling data via 2 methods among Excel, R, Matlab, Python, etc.
• Proactive in assisting and contributing to quality scientific research publications
• Keen on field studies with prior experiences
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

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 job holders are to work with PI and the research team to process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Proven as a fast learner of conducting literature search and literature summary
• Experiences of chemical characterization via chromatography (GCMS, LCMS, GCTOFMS, etc.)
• Proficient of handling data via 2 methods among Excel, R, Matlab, Python, etc.
• Proactive in assisting and contributing to quality scientific research publications
• Keen on field studies
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

Job Purpose :

• Assist the teachers in planning, developing, delivering and evaluating appropriate individualized educational services, learning programmes and instructions for special needs students in both self-contained and integrated settings.

Key Responsibilities

• Assist teachers in managing students in classrooms and in community-based activities
• Supervise and assist individual or small groups of students in activities/educational tasks set by teachers
• Assist teachers in preparation of instructional materials and/or classroom environment for lessons
• Provide support for students with MID, Autism and other developmental disabilities. Priority is to support these students to develop skills to enhance personal care and independence, and support daily lessons/activities in and beyond the classroom including student profiling.
• Work with functional committees to plan and implement school-wide educational and recreational programmes.
• Collaborate and consult with allied professionals, parents/caregivers and external agencies to ensure quality support and well-being of students.

Job Requirements:

• Minimum GCE “N” level, NITEC, polytechnic diploma or equivalent
• Possess good Time Management, Problem Solving and Decision Making and Effective Oral and Written Communications Skills.
• Possess prior experience educating persons with Mild Intellectual Disabilities (MID)
• Possess working knowledge of educational technology applications
• Experience in diagnosing and assessing learning disorders
• Proven effective classroom and student behaviour management skills
• Knowledge of current special education practices and methodologies

We have several available postdoctoral and research assistant positions at the Singapore University of Technology and Design (SUTD) to work in the area of Robotics. This position focus on supporting the design of algorithm for various robotics applications.

Qualification:
- Relevant Degree in Electrical Engineering, , Mechanical Engineering, Robotics, or related areas
- Strong hands on experience Preference will be given to those with prior robotics project experience such as:
1) SLAM;
2) ROS;
3) Sensor fusion;
4) Machine Learning;
5) Mobile platforms (eg: wheeled robots, legged robots); and
6) Manipulators

Applications, assembled as a single PDF file, should contain a complete resume, full list of publications, as well as the names and contact information of up to three references. Interested applicants may send his/her CV to Assoc/Prof U-Xuan Tan via email ( [email protected] ). Review of applications will continue until the position is filled. 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 successful candidate will work with Associate Professor Chua Lay Lay on Processing and characterization of polymer batteries under a project on Organic Thin-Film Energy Sources for Highly Distributed Nanopower Generation and thermal crosslinker.

The main responsibilities of the position include:
Processing and characterization of novel organic n-type and p-type storage and transport materials.

Qualifications

Qualifications / Discipline: PhD in Chemistry or Materials Science

Skills: Organic synthesis and spectroscopy techniques.

Experience: Organic semiconductor processing, FTIR, UV-VIS, XPS

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 Experimental Marine Ecology Laboratory (EMEL) within the Department of Biological Sciences at the National University of Singapore is seeking to appoint a Research Assistant to work on a major new project “Maximizing the beneficial environmental effects of tropical hybrid shorelines (MaxBETH)”. This interdisciplinary research aims to determine how hybrid coastal protection systems can be implemented at large scales in Singapore as well as assessing the challenges and benefits of up-scaling and identifying the effects of hybrid shorelines on biophysical processes.

The main responsibilities of the position include:

• Carry out geochemical surveys
• Conduct field and lab work to measure carbon flux
• Assist in administrative work to support the project
• Coordinate with sister projects
• Prepare research manuscripts, reports, and presentations

Job Requirements

Bachelor’s and/or Masters degree in Earth Sciences, Geochemistry Marine Biology, Ecology, Geography, Environmental Studies, or other similar discipline. The candidates should have a strong passion for marine environment-related research. Research skills include geochemical survey techniques and analysis, sampling designs and lab protocols to measure carbon flux, statistical analysis, writing abilities, as well as the capacity to work within a diverse group of scientists, are desirable. Candidates with previous first-authored ecological publications will be given priority.

Skills:

• Geochemical survey techniques and analysis
• Sampling designs and lab protocols to measure carbon flux
• Strong written and interpersonal communication skills
• Excellent time and resource management

Experience:

• Ability to conduct survey and analytical work in field and lab
• Familiarity with nature-based solutions/ecological engineering
• Evidence of published research would be preferred

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 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 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 Fellow will be responsible for working closely with the Principal Investigator on one or more projects.

Description

Fuzzing is a powerful technique for finding security vulnerabilities in systems and is used by corporations regularly. In this work, we will study the role of AI in cybersecurity - by aiding fuzzing techniques with large language models.

Tasks

• Conduct Research on AI-Aided Fuzzing: Lead research efforts to explore the integration of large language models (LLMs) with fuzzing techniques for identifying security vulnerabilities in systems. Design experiments and methodologies to evaluate the effectiveness of AI-aided fuzzing in comparison to traditional methods.
• Develop AI Models for Fuzzing Enhancement: Develop and implement AI models, including deep learning architectures, reinforcement learning algorithms, and natural language processing techniques, to enhance fuzzing capabilities. Train these models on relevant datasets to improve their ability to generate meaningful inputs for fuzzing.
• Collaborate with Interdisciplinary Teams: Collaborate with interdisciplinary teams comprising cybersecurity experts, AI researchers and software engineers to integrate AI-aided fuzzing techniques into existing cybersecurity frameworks. Communicate findings and insights effectively to team members and stakeholders.
• Publish Research Findings: Document research findings in academic publications, conference papers, and technical reports. Disseminate knowledge gained from the study of AI in cybersecurity, particularly in the context of fuzzing, to the broader research community through presentations and workshops.

Qualifications

• Ph.D. in Computer Science, Cybersecurity, or a related field: A terminal degree in a relevant field is essential to demonstrate the depth of knowledge and expertise required for conducting advanced research in AI and cybersecurity.
• Research Experience in Fuzzing and AI: Proven track record of conducting research in fuzzing techniques and artificial intelligence, with a focus on deep learning, natural language processing, or reinforcement learning. Experience in applying AI methods to cybersecurity problems is highly desirable.
• Publication Record: Demonstrated ability to publish research findings in reputable conferences and journals relevant to AI, cybersecurity, or software engineering. Strong publication record in top-tier venues indicates the ability to contribute novel insights to the field.
• Programming and Software Development Skills: Proficiency in programming languages such as Python, C/C++, or Java is necessary for developing and implementing AI algorithms and fuzzing tools. Experience with software development methodologies and version control systems is advantageous.
• Analytical and Problem-Solving Skills: Strong analytical skills and problem-solving abilities are essential for designing experiments, analyzing data, and deriving actionable insights from research findings. Experience with experimental design and statistical analysis techniques is beneficial.
• Communication and Collaboration Skills: Excellent written and verbal communication skills are required to convey complex ideas and technical concepts to both technical and non-technical audiences. Ability to collaborate effectively with interdisciplinary teams and communicate research findings clearly is crucial.
• Self-Motivation and Initiative: Demonstrated ability to work independently and take initiative in driving research projects forward. Proven track record of self-motivated learning and exploration of new methodologies and technologies in the field of AI and cybersecurity.
• Candidates who meet these qualifications and possess a strong passion for advancing the state-of-the-art in AI-aided cybersecurity, particularly in the domain of fuzzing, are encouraged to apply.

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 successful candidate will work with Dr Liu Boxiang on single-cell multi-omic analysis under a project on developmental trajectory of pancreatic islets.

The main responsibilities of the position include:
- Generating single-cell multi-omic data
- Single-cell multi-omic data analysis
- Manuscript writing

Qualifications

• Qualifications / Discipline: PhD in Bioinformatics

• Skills: RNA-seq and single-cell multi-omic analysis, sequencing data generation

• Experience: PhD in bioinformatics; industry research experience preferred.

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 intends to hire tenure-track faculty members whose expertise is in Statistics and Data Science. The positions can be at any level. A PhD in statistics or a related field is required.

Applicants should send an application letter, a CV, a research statement and a teaching statement and arrange for at least three reference letters to be sent directly to the NUS Career Portal.

Qualifications

• A PhD in statistics or a related field is required.

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

In 2021 the Singapore Hybrid-Integrated Next-Generation micro-Electronics (SHINE) Center was established.

One of the projects in SHINE focuses on developing the technology and demonstrating Radio Frequency (RF) and microwave applications on flexible substrates.

As part of this project, we have a position for a research engineer with proven knowledge and experience in researching, designing, and testing of microwave circuits and subsystems.

Qualifications

• Possess a Bachelor or Master degree in Electrical Engineering
• Experience in the simulation and design of microwave circuits and subsystems.
• Experience with tools such as ADS and HFSS.
• Experience with measurement of microwave circuits using VNAs.
• Able to work independently and in a team.
• Open to fixed-term contract.

1. Job Summary:

We are looking for a dynamic and innovative assistant R&D Chef to assist & lead recipe development, ensure quality control, and oversee product approval processes. Reporting to the Production Manager, the assistant R&D Chef will collaborate closely with production, sales, and cross-functional teams to create high-quality, market-ready products. The ideal candidate will take full accountability for QA/QC compliance, product sign-off, and customer satisfaction.

2. Key Responsibilities:

a. Recipe Development and Product Innovation:

• Create and test innovative recipes tailored to market trends and customer demands.

• Ensure recipes are scalable for production efficiency while maintaining exceptional quality.

b. Quality Assurance and Control (QA/QC):

• Establish and implement robust QA/QC protocols.

• Conduct product trials to ensure consistency, compliance, and safety standards.

• Resolve quality issues during development and production.

c. Product Approval and Accountability:

• Oversee product approval, ensuring all items meet company standards for taste, presentation, and compliance.

• Sign off on finalized recipes and processes, assuming full accountability for product quality.

d. Collaboration with the Sales Team:

• Partner with the sales team to understand customer feedback and market needs.

• Assist in presenting products to clients, including demonstrations and tastings.

• Support customization for specific customer requests.

e. Production Alignment and Management:

• Collaborate with the Production Manager to align recipes with operational capabilities.

• Train production staff on new recipes and processes.

f. Market and Trend Analysis:

• Research food trends, customer preferences, and competitor products to inform recipe development.

• Innovate and propose new product concepts for market differentiation.

g. Documentation and Reporting:

• Maintain thorough records of recipes, ingredient specifications, and QA/QC protocols.

• Provide updates to the Production Manager and sales team on project progress and approvals.

3. Qualifications:

• Minimum of 2 years of culinary experience, focusing on R&D, QA/QC, or product development.

• Expertise in scaling recipes for production.

• Knowledge of food safety regulations and quality standards.

• Strong collaboration skills with production and sales teams.

• Excellent problem-solving and organizational skills.

4. Education:

• Degree/Diploma in Culinary Arts, Food Science, or a related field.

• Certifications in quality management or culinary innovation are a plus.

5. Key Competencies:

• Accountability in managing product quality, approvals, and customer satisfaction.

• Creative and innovative thinking with a strong focus on operational alignment.

• Ability to manage multiple projects within tight deadlines.

6. Benefits:

• Competitive salary and performance incentives.

• Opportunities for career growth and skill development.

• Collaborative and innovative work environment.

7. Work Schedule:

• 5-day work week on an alternative-day schedule.

• 10-hour shifts, including a 1-hour break.

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

Principal Investigator: Associate Professor Catherine ONG, Department of Medicine

The Infectious Diseases Research Laboratory at the Department of Medicine, Yong Loo Lin School of Medicine is looking for highly motivated and well-qualified candidates for the post of Research Fellow to work on Murine models of Tuberculosis. The lab works on translational research i.e. spanning cellular, murine and human TB research. This position provides an excellent opportunity for persons looking to further experience in translational research including robust interactions with clinicians.

https://medicine.nus.edu.sg/medi/catonglab/index.html

https://discovery.nus.edu.sg/5460-catherine-w-m-ong

Main Duties and Responsibilities

The Research Fellow will design and execute experiments in M. tuberculosis infection of mice, processing of samples, and associated readouts including flow cytometry, immunohistochemistry, molecular biology including immunofluorescence. State-of-the art techniques include spatial transcriptomics and bioinformatics can be learnt and applied. Spatial transcriptomic work is also expected from human tissues. The person will lead in the day-to day running of experiments in the Biosafety Level 2 (BSL2) and BSL3 setting, and is expected to work independently, in coordination with other junior and senior team members in the laboratory and clinicians. Supervision of junior lab members such as undergraduates and postgraduate PhD students is expected. Work with live M. tuberculosis is expected in a BSL3 setting. BSL3 experience would be advantageous but not a requirement.

Qualifications

Applicants should have:

• A PhD degree in life science and skilled in handling murine models
• A minimum of 2 years of BSL2 experience with skills in molecular biology and immunohistochemistry/immunofluorescence
• Ability to help mentor and train junior staff members and students
• A proven track record of outstanding written, oral presentation and communication skills
• Excellent skills in project management
• Ability to work on grant proposals including writing, meeting with collaborators, and reviewing proposal opportunities

All interested applicants should send their job application interest, full CV with the cover letter and the reference letters of three referees with the referees’ contact details to the NUS Career Portal.

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 AIDF

The Asian Institute of Digital Finance (AIDF) is a university-level institute at 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 at the forefront of research-driven Fintech innovation in Singapore by acting as an experimental site for developing digital financial technologies, as well as nurturing current and future Fintech researchers and practitioners in Asia.

The Credit Research Initiative (CRI), one of the flagship research initiatives under AIDF, is a non-profit undertaking founded in 2009. Pioneering the "public good" credit risk measure, the initiative is committed to advancing big data analytics and providing directly useful credit intelligence to academic and professional communities. Our clients include international regulatory authorities (such as the IMF and MAS) and multinational financial institutions around the world.

Position Overview

An exciting opportunity exists to join NUS-AIDF as a Research Assistant under different teams involved with big-data analytics. You will participate in the production of our data products and contribute to the ongoing research and development of the flagship NUS-CRI Probability of Default model. This opportunity will challenge successful applicants and is a great learning and development opportunity for those interested in finance and risk management.

Career Benefits:

• Gain a detailed understanding of a cutting-edge quantitative credit risk model.
• Further your knowledge in quantitative modeling and financial analysis.
• Involve yourself in emerging technologies (e.g. cloud/grid computing, GPU computing, FPGA) in the Fintech field.
• Benefit from a world-class research environment at the forefront of credit risk, with a motivated research team and a well-established network spanning across a multitude of industries.
• Opportunities to interact with and learn from financial and tech professionals, industry experts, and thought leaders.

Qualifications

• Fundamental quantitative skills, preferably those obtained during a bachelor’s degree in mathematics, computer science, economics, finance etc.
• Good programming skills (Julia, Python, Matlab, SQL, etc.) or financial fundamentals are ideal
• Good team player with strong sense of responsibility and strong communication skills
• Highly self-motivated
• Willing to learn new technical 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 job holders are to work with PI and the research team to conduct research characterizing airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Experience in applying data analytics, machine learning and handling big data
• Experience in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels
• Fast learner - capable of conducting independent research and proficient literature search, review & summary with strong background in Chemical Engineering / Chemistry / Physics
• Experience in operating instruments measuring physical and/or chemical properties of airborne pollutants
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

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 Research Assistant (MACC) – SINGER Study Operation in the Department of Pharmacology, Yong Loo Lin School of Medicine.

Our academic and research staff have outstanding research publication and grant funding track records in research areas such as cancer pharmacology, neuropharmacology, immunopharmacology, pharmacokinetics, and drug discovery and development. Pharmacology is the anchoring department for the Drug Discovery and Optimisation Platform (DDOP), Memory Aging Cognitive Centre (MACC) at NUHS, and the NUS Neuroscience Phenotyping Core (NPC). The Department also has a strong presence in University-level research institutes including the Cancer Science Institute (CSI), and the Life Sciences Institute (LSI) Neuroscience and Immunology Programs.

More information on the department is available at www.macc.sg

Appointments will be made on a 1 year- contract basis with option to renew.

Purpose of the post

To assist investigators in conducting a large-scale lifestyle intervention study according to study protocol, Singapore Guideline for Good Clinical Practice (SGGCP) and other applicable regulatory and ethical requirements as well as institutional policies.

Main Duties and Responsibilities

Research patient/Subjects Management

1. Gate keeping of the recruitment progress. Assist investigators in the screening and recruitment of potential patients/healthy volunteers as according to trial protocol.
2. Assist investigators in obtaining informed consent
3. Maintain and update screening log & enrolment logs
4. Schedule appointments for patients/subjects
5. Perform delegated procedures as required according to trial/study protocol
6. Ensure patients’/subjects’ compliance to trial medication / intervention
7. Label and dispatch specimens to the relevant laboratory as per condition specified in the trial protocol

Research Patient/Subjects Management

1. Label and store specimens in the condition as specified in the trial protocol
2. Trace laboratory and diagnostic reports (if any)
3. Assist the investigator(s) in adverse events / serious adverse events reporting
4. Perform high quality data collection through data collection forms or tools; Handle data entry and validation of study data
5. Maintain confidentiality on subjects and study data

Clinical Trial Administration

1. Plan, organise and co-ordinate routine trial study activities workflow (i.e setting up recruitment strategies and material & etc)
2. Provide effective updates to the stakeholder on the work done
3. Liaise with the relevant departments for logistic and finances related matters
4. Document and tabulate financial payments received and / or made to support the study
5. Up keeping study materials including procurement and inventory tracking.
6. Maintain Investigator Site File, tracking logs and ensure that all study documents are complete and up to date
7. Attend trial-related initiation, close-up and other trial related meetings

Secondary Responsibilities and Duties (20%)

1. Perform administrative duties and ad-hoc project as assigned by the Director/Manager

Qualifications

Degree in life sciences, nursing, or equivalent; candidate with medicine background will be of advantage.

1. Able to work independently and meticulously
2. Good written and communication skills. Besides English, well-verse in Mandarin is a must as our study subjects are elderlies and a big portion of them can only speak Mandarin. Other common Chinese dialects will be an added advantage.
3. Possess strong interpersonal skills
4. Flexibility to work on weekends (if needed. i.e for outreach event)
5. Team player

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Yap Kwong Hsia at [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 3 referees.

We regret that 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

Applications are invited for a Research Associate in the NUS Centre for International Law (CIL). This is a one-year contractual position offered in connection to CIL's expansion of its programme on international economic law and policy. The objective of the position is to develop the research capabilities and knowledge of junior scholars by immersing them in a dynamic and supportive research environment where they can enhance their understanding of different areas of international economic law and policy.

The duties of the incumbent will involve:

• Assisting the Head of the International Economic Law and Policy programme in research in connection with the programme’s ongoing projects in international economic law, including CIL’s position as an official observer in UNCITRAL Working Group III, CIL’s ongoing work on international economic law and climate change, and its work on the evolution of the international architecture for economic regulation.
• Assisting with the development and organization of seminars and workshops organized by CIL, including the Singapore International Arbitration Academy.
• Conducting research and completing at least one publication for possible publication in a recognized journal at the termination of the position.

All research staff in CIL will have access to professional development opportunities (e.g., events, seminars, and training programmes) within NUS. They will also have opportunities to attend regional and international conferences, workshops and symposiums as well as other scholarly opportunities.

Qualifications

• An LLM or JD degree or equivalent experience;
• A solid foundation in international economic law, e.g., trade, investment and other areas of international economic law broadly understood;
• Excellent analytical, research and writing skills;
• A high degree of self-motivation and strong organisational and computer skills.

Application Procedures

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

• A covering letter indicating experience, motivation for applying to work at CIL, and research interests
• A detailed curriculum vitae (no more than three pages) setting out educational and work history
• University transcripts
• One sample of written work
• The names and details of two referees

Please note only shortlisted candidates will be notified. For enquiries, please contact Ms Huong Tam at [email protected]

More Information about CIL

CIL was established in 2009 as a university-level research institute at the National University of Singapore (NUS). It is located on the Bukit Timah Campus of NUS, together with the Faculty of Law and the Lee Kwan Yew School of Public Policy. As a university-level research institute, CIL engages in both legal and multi-disciplinary research on wide variety of international law issues. Its mission is to enable Singapore and the Asia-Pacific region to play a more significant role in the promotion and development of international law. More about CIL can be found here: https://cil.nus.edu.sg

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

To conduct research in area of functional polymers and hydrogels

Qualifications

1. A Ph.D. degree in areas of chemistry, Polymer Science, or Physical Chemistry of materials.
2. Equipped with skills in polymer design and synthesis
3. Good at materials characterization using TEM, SEM, SAXS/WAXS.
4. Self-motivated and demonstrated a good track record in quality publication.
5. 1-2 years postdoc experience is an advantage while Ph.D. graduates with no prior experience are also welcome to apply.

Project Overview

SMART M3S is undertaking a project that includes three key work streams:

1) Content: Developing an ontology encompassing various activities, actors, and processes arranged systematically. This involves:

• Extracting content from databases like the Department of Labor's O*Net.
• Human Curation and editing.
• Utilizing Large Language Models(LLMs) for content generation.
• Applying machine learning and statistical techniques to identify clusters of similar activities.

2) Software Tools: Creating a suite of software tools to :

• Browse, edit, and search the online knowledge base.
• Extract content from diverse sources.
• Facilitate human review.
• Integrate LLMs for content generation.
• Support applications demonstrating the ontology's usefulness.

3) Applications: Developing proof-of-concept applications by the end of the one-year project to showcase the ontology's utility. Potential areas include:

• Rapid identification of use cases for generative AI tools.
• Automated generation of detailed workflows and task assignments.
• Stimulating human creativity to address business and societal challenges like climate change and democratic processes.

Responsibilities

The Full Stack Developer will perform the following:

• Design, develop and maintain software tools essential for creating and managing the ontology and its applications.
• Work closely with a multidisciplinary team of researchers, developers, and content specialists.
• Integrate Large Language Models into software applications to enhance functionality.
• Optimize existing codebases for performance and scalability.
• Conduct code reviews, write unit tests, and ensure software reliability.

Requirements

• Bachelor's Degree with proven experience and a strong portfolio
• Deep knowledge and hands-on experience with the following technologies:

1) Frontend:

• Next.js
• TypeScript
• MUI (Material-UI)
• D3.js

2) Backend:

• Node.js
• Firebase and Firebase Cloud Firestore

3) Testing:

• Jest
• Cypress
• Proficiency in LLM Prompt Engineering.
• Excellent analytical and problem-solving skills.
• Ability to work independently and collaboratively in a team environment.
• Strong verbal and written communication skills.

_________________________________________________________________

Applicants are required to complete the following as part of the screening process:

1) Clone and Optimize

-Clone this code sandbox (https://codesandbox.io/p/sandbox/react-usestate-update-nested-in-another-usestate-functional-update-r4lwq0?file=%2Fsrc%2FApp.js)

-Optimize the code for performance and readability.

2) Submit Solution:

-Provide the URL to your optimized solution.

-Include a detailed description of the optimizations made and the reasoning behind them.

GitHub Respository: Link to your GitHub profile showcasing relevant projects.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified

Company Overview:

Wilmar International Limited is Asia’s leading agribusiness group. Wilmar International business activities include oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing and merchandising, specialty fats, oleochemicals, and biodiesel manufacturing, and grains processing and merchandising. It has over 1,000 manufacturing plants and an extensive distribution network covering China, India, Indonesia and some 50 other countries. The Group is backed by a multinational workforce of about 100,000 people.

Job Summary

We are currently recruiting a position for an assistant research officer to join Wilmar’s corporate lab (WIL@NUS). The potential candidate will be primarily involved in data analytics and machine learning. The project objectives are to model analytical data collected from Wilmar's factories or R&D centres to predict quality parameters related to the product.

Main responsibilities of the incumbent (not limited to):

• Manage and pre-process data
• Ability to code and script based on specified tasks
• Statistical analysis and machine learning experience in the following area
• Forecasting using time series data
• Neural networks, in particular recurrent and long short term memory networks
• Versatile in applying computational techniques to solve open problems
• Participate in seminars and research-in-progress meetings within the team and collaborators

Job requirements:

• Team player and ability to communicate technical concepts to lay people
• Ability to code in a few languages - R, python, java, bash
• Machine learning and statistical background
• Positive learning attitude towards new ideas

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 Global Asia Institute (GAI) seeks a full-time Research Assistant/Associate to support faculty and researchers in carrying out projects related to business resilience, economic adaptation, and corporate history. The role focuses on the study of firms navigating adverse environments, as outlined in our forthcoming research project on business resilience across diverse industries and geographies.

We are looking for someone with exceptional writing and research skills, an innovative mindset, and the ability to work independently. The candidate will collaborate closely with world-class faculty and post-doc researchers, contributing to the development of case studies and actionable frameworks. This position offers hands-on experience in academic research, project management, and business writing, providing valuable exposure to historical and contemporary corporate strategies.

Salary benefits will be commensurate with skillset, experience and qualifications.

Qualifications

• At least a Bachelor’s degree from a reputable institution.
• Academic background in the social sciences or business-related fields.
• Strong interest in business writing and case writing.
• Highly organized, meticulous and detail oriented.
• Ability to multi-task and handle multiple projects concurrently.
• Proficient in Microsoft Office.
• Fluency in programming languages (such as R and Stata) will be an advantage.

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 Department of Civil and Environmental Engineering at the National University of Singapore is recruiting a Research Engineer. The successful candidate will work on experiments and numerical modelling of 3D breaking waves and wave-current interaction. The candidate should have strong knowledge background in terms of waves, currents, turbulence, etc. Experience with experiments and CFD model will be advantageous. Only shortlisted applicants will be notified.

Job Requirements

• Possess at least a Masters degree in Civil Engineering with related research experience.
• Candidates with background in fluid mechanics, coastal and ocean engineering, experimental methods are encouraged to apply.
• Strong written and spoken communications.
• Good in quantitative analysis.
• Strong written and spoken communications.
• Good knowledge of CFD analysis and programming skill is an advantage.
• Open to fixed-term contract.

Please apply here: https://talent.sage.hr/jobs/9ace774d-e61b-4f47-836f-9fe098d9a2b1

Applicants will need to include a Cover Letter and CV with publication list.

Applications will be reviewed on a rolling basis, with final submission 20 January 2025.

We are particularly looking for Cybersecurity Research Fellows with the following backgrounds:

- Cybersecurity Research & Engineering

- Cybersecurity threat modelling

- Network Intrusion Detection

- Cryptography

- Anomaly Detection

- AI Security

As Cybersecurity Research Fellow, the successful candidate will contribute to the programme by conducting fundamental research aligned with the programme and translating research outputs to achieve impact within the Singapore healthcare environment.

Imperial College London and Nanyang Technological University (NTU) are seeking Research Engineers and Research Fellows to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices and systems.

The successful candidates will join the research programme which represents a collaboration between the United Kingdom and Singapore and will be based at the newly established Imperial Global Singapore (IGS) housed within the unique CREATE campus.

Positions will be initially for 2 years fixed term (subject to 6-month probation) with potential for extension.

Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Dr Viktor Schlegel, Deputy Programme Director [email protected], together with an indication of the specific position you would like to apply for. Questions about the recruitment process, should go to Paige Noyce, Associate Director [email protected].

Positions are based in Singapore at Imperial Global Singapore at the National Research Foundations Campus for Research Excellence and Technological Enterprise (CREATE) located on the campus of the National University of Singapore.

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 Assistant Professor Andrea Phua’s lab on a range of projects, primarily “Investigating the cognitive functions of neuronal cilia in dorsomedial striatum- mediated goal-directed learning”.

The main responsibilities of the position include:

• Conducting mouse behavior experiments
• Conducting mouse brain stereotaxic surgeries
• Managing mouse breeding colonies
• Performing molecular biology experiments e.g. virus vector production

Qualifications

The candidate should hold a Bachelor’s Degree in Biological Science, Biomedical Science, Biotechnology or Veterinary Technology. Polytechnic diploma holders with relevant skills and experience are also encouraged to apply.

Skills:

• Strong interest in neuroscience research
• Excellent time and resource management skills
• Excellent written and interpersonal communication skills
• Ability to work well with interdisciplinary colleagues

Experience:

• Experience in small animal care, surgery and husbandry
• Understands small rodent behavior
• Good knowledge of molecular biology e.g. genotyping, molecular cloning, virus vector production, mammalian cell culture