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 highly motivated and skilled candidate to join our research team working on a cutting-edge project focused on the structural application of 3D concrete printing. The selected candidate will contribute to advancing the field of construction through research and development in the area of 3D printed concrete structures.

Key Responsibilities:

• Conduct structural analysis of precast concrete elements using advanced numerical simulations.
• Perform experimental research on the structural properties of 3D printed concrete materials and structures in alignment with Singapore Standards.
• Develop new design guides for the structural application of 3D printed concrete.
• Collaborate with the principal investigator to mentor junior researchers and students.
• Attend meetings with the grantor to present progress updates and prepare detailed technical reports.
• Write and publish technical papers based on research findings.

Job Requirements

• Possess a PhD degree in Civil Engineering.
• Has relevant experience with advanced numerical simulations for structural analysis.
• Good knowledge of local standards for construction materials and structural design.
• Strong experimental research skills and experience in working with concrete materials.
• Good written and spoken communication skills and the ability to collaborate effectively in a team environment.
• Prior experience in mentoring or supervising junior researchers or students is preferred.
• Ability to prepare and deliver progress reports and technical publications.
• Open to fixed-term contract

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Chemical and Biomolecular Engineering, National University of Singapore, is inviting applications for 1 Research Engineer (RE) position under Associate Professor Sibudjing Kawi’s group. The candidate will work on Shell research project entitled “Integrated Catalytic Plasma and Membrane Design for Low-Temperature High-Value Olefins Production from Light Hydrocarbons”.

Qualifications

Master degree in chemistry/chemical engineering in the area of catalysts, inorganic membranes and inorganic membrane reactors for high temperature reactions.
• Proven experience (with good research track record in terms of publications and/or patents) in the field of inorganic hollow fiber membrane synthesis, catalyst synthesis/characterization/testing for hydrocarbon pyrolysis and catalytic membrane reactor design.
• Strong team player skills and the ability to work harmoniously with a diverse workforce.

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

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

• Fabrication of 2D materials based memristors using mask aligner, electron beam evaporator and shadow masks
• Characterization of 2D materials based memristors using a semi-automatic probe station, semiconductor parameter analyser.
• Characterization at the materials level using SEM, TEM, FIB, XPS, and Raman Spectroscopy.
• Other routinal paperwork related to the correct functioning of the group, including purchases, contract preparation and reimbursements.

Qualifications

• PhD in Materials Science and Engineering plus 3 years postdoc in memrsitors.
• Proficiency in using all the above mentioned machines
• Publications in top journals
• Fluent in English and Chinese language (including read/write) as the candidate is also expected to support applications for funding in collaboration with China (for example, with the NUS - Suzhou Research Institute).

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

A Research Assistant position is open in the research group of Prof. Shuzhi Sam Ge at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Assistant will work closely with the Principal Investigator (PI) on one or more research projects about Robust AI.

Job Description

This project will combine the strengths of machine learning and control theory and consider the complex dependencies among different sensor inputs to build a robust multimodal AI system that can serve safety-critical applications.

The successful candidate is required to:

• To prepare and meet the project deliveries and milestones;
• Conduct research on Robust AI for autonomous vehicles that can ensure the reliable computer vision of autonomous vehicles under adversarial attacks, or Digital Twin development (3D reconstruction, Generation, etc).
• To advance the knowledge, to publish in journals, conferences, or patents;
• To prepare and meet the project deliveries and milestones.

Qualifications

Qualifications

• At least a bachelor's degree and/or master's degree in Computer Science, Engineering, Physics etc, with specialization related to machine learning, computer vision, control science, computer engineering or related field;
• Prior experience in managing project, laboratory or research funding is advantageous;
• Responsible and able to work independently;
• Excellent written and spoken communications;
• Programming skills in one of the programming languages: Python, C/C++, Matlab, etc.
• Open to Fixed Term Contract.

Duke-NUS embodies a strategic partnership between Duke University and National University of Singapore (NUS). It works closely with the Singapore Health Services (SingHealth) cluster which is a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education. Together, Duke-NUS and SingHealth form an Academic Medical Centre that comprises a number of academic collaborations.

The Signature Research Programme in Health Services and Systems Research (HSSR) at Duke-NUS is a center of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’s focus is on public health and clinical service innovation in an increasingly complex and connected world.

The selected candidate will work with a health economics team providing qualitative research method support to various research activities. They will be required to conduct interviews, focus groups and relevant qualitative analysis, mainly with patient groups, clinicians and healthcare stakeholders. The activities will be relevant to the evaluation of healthcare interventions and care models, including but not limited to:

• Interview clinicians and patient groups
• Manage protocols development for research projects and IRB applications.
• Develop interview guides, plan and conduct all relevant qualitative data collection activities.
• Use appropriate software to collect, manage and analyse qualitative data.
• Manage transcribing activities.
• Conduct literature reviews to find information for new research ideas.
• Assist in the preparation of evaluation reports for the health economics team.
• Extract data from existing databases and published literature.
• Manage projects from start to end with guidance (i.e. develop research objectives and study design, perform data extraction and data collation, conduct data modelling, perform analysis and engage and collaborate with various stakeholders).
• Assist in drafting research abstracts and manuscripts.
• Assist in the preparation of PowerPoint presentations to various stakeholders.
• Support the secretariat and administrative functions of the health economics team.

Job Requirements

• Master’s Degree in Public Health or other related fields
• Minimum 2 years of working experience in Singapore’s healthcare/ research setting
• Experience in Singapore IRB applications
• Adept at collecting and working with qualitative data.
• Prior experience in various qualitative research methods and health services-related research will be advantageous.
• Proficiency with NVivo would also be an advantage.
• Possess excellent verbal and written communication and interpersonal skills.
• Able to work independently with limited supervision and in a team, with dynamic reporting lines and multiple stakeholders.
• Action-oriented, highly motivated, and target-focused.

We regret that only shortlisted candidates will be notified.

Job Description & Requirements

We are looking for experienced Math/ Science teacher/tutor to teach Secondary subjects

Who are we looking for?

• Someone with a Bachelor degree
• Has experienced in teaching the subject.
• At least 2 Year(s) of working experience in the related field. Someone who has experience working in a tuition centre will be an added advantage
• Enthusiastic, patient and passionate in helping students to excel
• Dedicated and a team player

The role:

• Assist to prepare some materials and curriculum
• Conduct lessons
• Evaluate and monitor students’ progress
• Assess each child’s educational and development needs

Other Information:

• Location: near Clementi MRT
• This can be a part time (3 or 4 day week) or a full time (5 day week), with 1 weekend.
• Working hours: weekday 1 pm to 9pm; weekend 8.45am to 6pm
• Salary commensurate with qualifications and experience
• Annual leave & medical

Interested applicants, please send your resume to us by detailing your qualification and experience, and expected salary.

Job Description

· Contribute to high-quality research and development work in TCOMS laboratory through physical experiments including:

o design of scaled physical test models, such as maritime vessels, offshore rigs, marine renewable platforms, and aquaculture systems for testing in TCOMS Ocean Basin.

o generation of detailed design, production, assembly, and as-built drawings of test models.

o Structural assessment of the test models as well as other support to be used in the experimental setup.

o Work with a team of engineers and technicians on model fabrication and modification, calibration, instrumentation, and experimental setup.

o enhance the measurement of models’ behaviour and response by use of appropriate sensors like load cells or custom strain gauges.

o document design processes, methodologies, and results.

o contribute to process enhancements for improved efficiency of research work.

· Perform research in the following areas:

o Offshore hydrodynamics

o Coastal Protection

o Structural response and health monitoring of Marine & Offshore platforms and floating structures

o Fluid-structure interactions

· Collaborate with internal teams, affiliated research institutes and other relevant stakeholders in proposal preparation and submission.

· Any other duties as assigned by supervisor.

Job Requirements

· Bachelor’s/ Master’s Degree in Civil Engineering, Mechanical Engineering, Marine Engineering, Offshore Engineering, or other related disciplines.

· Preferably 3 years of relevant research/industry experience with competent knowledge in some of the following areas:

- Offshore engineering, marine engineering, marine structures, hydrodynamics, naval architecture.

· Prior knowledge in the following numerical methods/software/programming languages will be an advantage:

- CAD software such as SolidWorks, Rhino, AutoCAD

- Engineering tools such as SESAM and ABAQUS

- Programming codes such as Python, MATLAB, or equivalent.

· Model experiments in wave flumes, wave tank or ocean basin.

· Good interpersonal and communications skills.

· Ability to adapt and work effectively as members of a team.

· Resourceful and self-driven with a high degree of professional integrity.

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.

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 Academy for Healthy Longevity at the Yong Loo Lin School of Medicine, NUS, seeks a Research Assistant/Associate to support an innovative project developing prognostic digital biomarkers of aging using physical activity data from wearable devices. This position will contribute to advancing personalized healthcare through data-driven approaches to risk segment populations to enable health promotion and longevity.

Position Overview

The successful candidate will support the analysis of physical activity data and health outcomes to develop digital biomarkers of aging and risk stratification models. The multidisciplinary team aims to process large-scale physical activity datasets and contribute to the development of an interactive healthcare dashboard. This is a 12-month position with the possibility of extension based on grant funding.

Main Duties and Responsibilities

1. Data Analytics & ProcessingDevelop a plan to process and analyze physical activity data from wearable devices
   Support the development of risk stratification models
   Assist in integrating health outcome records with physical activity data
   Identify a pathway to implement statistical and machine learning techniques for biomarker identification
   Develop plans for validating risk stratification models
2. Planning Technical DevelopmentSupport development plans for the creation of interactive dashboards for data visualization
   Identify data quality control and security protocols
   
3. Research SupportHelp prepare materials for future grant applications
   Assist in preparing research documentation and reports
   Support stakeholder coordination and technical strategy development
   Contribute to research team meetings and discussions
   Any other tasks deemed necessary by the research team
   

Qualifications

1. Education & ExperienceResearch Assistant: Bachelor's degree in Data Science, Bioinformatics, Computer Science, or related field and 1-2 years experience in health data analysis or related field
   Research Associate: Master's degree in Data Science, Bioinformatics, Computer Science, or related field and 1-2 years experience in health data analysis or related field
   
2. Technical SkillsProgramming proficiency in relevant software systems such as Python or R
   Experience with statistical analysis and machine learning
   Experience in data preprocessing and data harmonization
   Familiarity with healthcare data standards
   
3. Professional SkillsStrong analytical and problem-solving abilities
   Excellent attention to detail
   Good project management skills
   Ability to work in a collaborative research environment
   

Benefits

1. Competitive salary commensurate with qualifications
2. Professional development opportunities
3. Access to research computing facilities
4. Health insurance coverage

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

Job Purpose
The mission of the Cancer Science Institute (National University of Singapore) is to better understand the causes of human cancer across Asia and thereby improve its detection, treatment, and prevention. Our outstanding researchers and exceptional facilities create an energetic environment for ground-breaking science and world-class training.

A Research Assistant position is available immediately in the Yvonne Tay team which studies RNA biology in cancers. You may refer to https://csi.nus.edu.sg/researcher/yvonne-tay/ for more information.

Interested applicants should include the following documents in the job application
1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. 3 referees including their name, contact information (email) and relationship to applicant

Duties & Responsibilities
Research:

• Carry out assigned experiments under initial guidance and then independently
• Organize, preserve, and present the results of the experiments in a logical manner
• Record all assigned experiments and results properly and systematically
• Analyse data and design subsequent experimental workflow
• Assist in supervising, training and guiding attachment/undergraduate students as required

Administrative duties:

• Assist with lab housekeeping and administrative duties as needed
• Ensure that standard operating procedures and safety regulations are followed

Qualifications

• Bachelor’s or Master’s degree in molecular biology, cancer biology, bioinformatics, computational biology, computer science, or related field
• Interest in pursuing a research career in studying RNA biology in cancer
• To be a team player with the ability to work collaboratively with other members of the lab.
• Experience in running projects independently is preferred.
• Experience in laboratory management is preferred but not essential.
• Ability to communicate fluently in written and spoken English
• Knowledge in cell culture and basic molecular biology techniques (western blotting/ RT-PCR etc)
• Proficiency/ expertise in data analysis (R or equivalent)

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Research Fellow (postdoc) positions in the Department of Chemical and Biomolecular Engineering at National University of Singapore (NUS).

The primary objectives of these two positions are to foster a profound design principle towards novel, cost-effective electrocatalysts and reactors for the efficient conversion of CO2/CO into liquid fuels. Furthermore, these roles will involve exploring the potential for synergizing biochemistry and electrochemistry, with the overarching goal of enhancing selectivity and efficiency in the conversion of CO2 into multi-carbon products. Extensive state-of-the-art infrastructures for materials synthesis and physical characterizations are established at the Department.

The research fellows are required to help in guiding young students, visiting scholars, and assisting the establishment of larger research applications and facilitating initiatives with respect to sharing and developing infrastructure for electrocatalysis research within NUS.

Job Requirements

The applicants must hold a PhD (or other equivalent degrees) in chemical engineering, chemistry, materials science or other relevant related field. Experience with electrocatalysis, or similar chemistries, is considered advantageous. Experience with material characterization techniques like SEM/EDS, TEM, STEM, XRD, XAS, XPS, FTIR, and Raman will also be highly considered. Since cross disciplinary work is essential for the success of this project, it is considered positive if the candidate can demonstrate experience in similar work environments.

We are seeking a highly motivated and skilled Research Officer to join our team. The successful candidate will be responsible for implementing and optimizing algorithms for the generation of synthetic RNAs. This role involves a strong emphasis on computational biology, algorithm development, and the application of machine learning techniques to simulate RNA sequences and structures.

Key Responsibilities:

• Develop, implement, and optimize algorithms for generating synthetic RNA sequences with specific properties.
• Collaborate with cross-functional teams to integrate these algorithms into our synthetic biology platform.
• Analyze large datasets to validate the accuracy and efficiency of generated synthetic RNAs.
• Work closely with experimental biologists to design in silico RNA sequences that can be tested in the lab.
• Contribute to the development of software tools that assist in the design and simulation of synthetic RNAs.
• Stay updated with the latest research and technological advancements in the field of RNA biology and synthetic biology.
• Document research findings and present them at internal meetings and external conferences.

Requirements:

• A Master or Bachelor degree in Computational Biology, Bioinformatics, Synthetic Biology, Computer Science, Statistics, or a related field.
• Strong programming skills in languages such as Python, R, or C++.
• Experience with RNA sequence analysis, algorithm development, or machine learning is preferred.
• Familiarity with RNA secondary structure prediction and synthetic biology principles is a plus.
• Ability to work independently as well as collaboratively in a multidisciplinary research environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, both written and verbal.

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.

Postdoctoral Scientist position

A postdoctoral scientist position is available immediately in the laboratory of Dr. Leslie Beh at IMCB.

The Beh lab seeks to develop cutting-edge CRISPR-Cas technologies to uncover the biological functions of RNA modifications. Dysregulation of these modifications has been linked to cancer, neurological disorders, and metabolic disease. We will determine the mechanisms by which RNA modifications and CRISPR-Cas systems operate by drawing upon diverse techniques, including protein engineering, biochemical reconstitution, genomics, and cell-based experiments. Successful applicants can expect close mentorship in a collaborative environment, with an emphasis on developing scientific knowledge and individual career goals. More information about can be found at (https://www.behlab.org/).

Requirements:

• Ph.D. in Life Sciences / Biomedical Sciences
• Experience in biochemistry and/or structural biology, particularly in protein-RNA or protein-DNA interactions.
• in vitro reconstitution of enzymatic activity using cell extracts or purified proteins
• Recombinant protein purification from bacterial and insect cells
• Genuine interest in pursuing a research-based career.
• Strong work ethic, with excellent organizational and communication skills

Preferred experience:

• Mammalian cell culture
• NGS library generation and data analysis
• Prior roles in lab management

Postdoctoral Scientist position

A postdoctoral scientist position is available immediately in the laboratory of Dr. Leslie Beh at IMCB.

The Beh lab seeks to develop cutting-edge CRISPR-Cas technologies to uncover the biological functions of RNA modifications. Dysregulation of these modifications has been linked to cancer, neurological disorders, and metabolic disease. We will determine the mechanisms by which RNA modifications and CRISPR-Cas systems operate by drawing upon diverse techniques, including protein engineering, biochemical reconstitution, genomics, and cell-based experiments. Successful applicants can expect close mentorship in a collaborative environment, with an emphasis on developing scientific knowledge and individual career goals. More information about can be found at (https://www.behlab.org/).

Requirements:

• Ph.D. in Life Sciences / Biomedical Sciences
• Experience in biochemistry and/or structural biology, particularly in protein-RNA or protein-DNA interactions.
• in vitro reconstitution of enzymatic activity using cell extracts or purified proteins
• Recombinant protein purification from bacterial and insect cells
• Genuine interest in pursuing a research-based career.
• Strong work ethic, with excellent organizational and communication skills

Preferred experience:

• Mammalian cell culture
• NGS library generation and data analysis
• Prior roles in lab management

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The Candidate will be working on dynamic modelling and simulation of the powertrain of a full electric tug vessel, mainly using MATLAB/Simulink. The simulation models will be used to investigate the steady state and transient behaviour of the ship’s electric propulsion system.

Key Responsibilities

• Development of dynamic models of the ship’s electrical propulsion system including energy storage systems.
• Investigate steady-state and transient behaviours of an all-electric ship’s electrical system in various operational scenarios.
• Carry out mission-specific electrical power consumption analysis
• Electrical propulsion and ESS design optimization.
• Any other duties as assigned by the supervisor.

Job Requirements

• Bachelor's Degree or above in the areas of Electrical Engineering, Mechanical Engineering or Marine Engineering
• Other relevant disciplines are welcome to apply
• Background in programming languages and related research project experience is ideal

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

Qualifications

• Master's degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

A Research Officer position is available in Dr. Anand Andiappan Lab at the Singapore Immunology Network (SIgN). The RO position is to support the research work of the team that focuses on studying the role of immune system in eczema and allergies. The candidate will work on primary cells from cohorts and cell culture systems towards understanding immune pathophysiology of disease. Additional work involves cellular and stimulation assays with flow cytometry and FACS analysis along with imaging by confocal microscopy, and associated data analysis with statistical tested.

Job Duties:

• Managing safety in the lab
• Creating SOPs and lab risk assessments
• Maintaining lab inventories
• Perform other lab administrative duties and operations such as ordering and tracking lab budget
• Experience with human and mouse blood/tissue sample handling and processing (e.g. isolation of specific immune cell population) and knowledge of immune cell biology is encouraged
• Experience with flow cytometry analysis for different immune cell population and functional immune assays will be an advantage

Job Requirements:

• Degree in Immunology, Life sciences, Biomedical sciences, Molecular Biology, Biotechnology or equivalent
• Preferably with experience in molecular biology techniques, immunology, cancer cell biology, cell culture and flow cytometry
• Precise, detailed-oriented and able to follow complex protocols
• Willing to learn new experimental procedures and troubleshoot assays
• Good team player with good interpersonal skills
• Good spoken and written communication skills
• Candidates are expected to be highly motivated to work in research and able to perform tasks independently.

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.

A Research Officer position is available in Dr. Anand Andiappan Lab at the Singapore Immunology Network (SIgN). The RO position is to support the research work of the team that focuses on studying the role of immune system in eczema and allergies. The candidate will work on primary cells from cohorts and cell culture systems towards understanding immune pathophysiology of disease. Additional work involves cellular and stimulation assays with flow cytometry and FACS analysis along with imaging by confocal microscopy, and associated data analysis with statistical tested.

Job Duties:

• Managing safety in the lab
• Creating SOPs and lab risk assessments
• Maintaining lab inventories
• Perform other lab administrative duties and operations such as ordering and tracking lab budget
• Experience with human and mouse blood/tissue sample handling and processing (e.g. isolation of specific immune cell population) and knowledge of immune cell biology is encouraged
• Experience with flow cytometry analysis for different immune cell population and functional immune assays will be an advantage

Job Requirements:

• Degree in Immunology, Life sciences, Biomedical sciences, Molecular Biology, Biotechnology or equivalent
• Preferably with at least 5 years experience in molecular biology techniques, immunology, cancer cell biology, cell culture and flow cytometry
• Precise, detailed-oriented and able to follow complex protocols
• Willing to learn new experimental procedures and troubleshoot assays
• Good team player with good interpersonal skills
• Good spoken and written communication skills
• Candidates are expected to be highly motivated to work in research and able to perform tasks independently.

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.

The Signature Research Programme in Health Services & Systems Research (“HSSR”) in Duke-NUS Medical School is a centre of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’s focus is on public health and clinical service innovation in an increasingly complex and connected world. The major research focus of HSSR is the organisation and delivery of health and social services in the context of an ageing population. The research methods include decision science and simulation modelling, survey research, qualitative research, health economics, and implementation science and evaluation. We are also developing a range of education activities for health care professionals including short courses, graduate certificates, Masters course and PhD programmes.

A Research Fellow position is currently available, and the successful candidate will be expected to perform a variety of research activities within HSSR and Prehospital Emergency Research Centre (PERC), a centre part of HSSR. These include but will not be limited to the following: -

• Lead the design and implementation of projects aimed at understanding health services research, with a focus in prehospital and emergency studies.
• Conduct independent and collaborative research, including designing, implementing, and analysing data for high-impact studies.
• Develop predictive models and machine-learning tools for enhancing emergency medical systems and triage processes.
• Contribute to research writing and management of grant proposals.
• Support research activities relevant to the scope of HSSR and PERC.
• Draft research abstracts and manuscripts for scientific sharing and publication.
• Present research outcomes at international and local conferences.
• Mentor graduate students and junior researchers.
• Perform other related duties incidental to the work described herein or as assigned by the supervisor.

Job Requirements:

• PhD in Public Health, Health Services Research or other related disciplines.
• Prior experience in healthcare would be advantageous.
• Proven track record of academic publications, including writing/drafting first-author papers
• Possess strong writing and critical thinking skills.
• Have excellent communication (verbal & written) and interpersonal skills.
• Self-motivated individual, enthusiastic to take initiative, and able to work independently and collaboratively in a diverse team.

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

• Daily operational tasks such as subject recruitment, data collection, sample collection, processing and storage.
• Follow up with research subjects for research visits
• Assist PI with research meeting and collaboration
• Assist PI with databases creation and data entry
• Assist PI with ethics application
• To perform other related duties, incidental to the work described herein.

Qualifications

• Bachelor’s Degree in Nursing or relevant
• Excellent writing and communication skills in English
• Highly organized and able to work effectively under pressure, use independent judgement, and produce a quality work product within tight time constraints
• Ability to work in a multidisciplinary team

1. Cover letter highlighting relevant experience and career goals
2. Curriculum Vitae, containing details of three named referees
3. A complete NUS Personal Data Consent for Job Applicants (the form is available at NUS Personal Data Consent for Job Applicants)

Please note that only shortlisted candidates will be contacted.

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.

Overview

The Department of Computer Science at the National University of Singapore is seeking a Postdoctoral Research Fellow (RF) or Senior Research Fellow (SRF) specializing in the areas of multimedia forensics and digital trust enhancement. This project focuses on the development of advanced solutions for detecting forged images, ensuring audio-video consistency, and enhancing multimodal identity verification.

The project combines expertise in deep learning, multimedia analysis, and security to create systems capable of operating in real-world environments while addressing the challenges of digital impersonation and media manipulations. Candidates will be selected based on their research ability and previous experience in fields relevant to digital security and multimedia forensics. Applicants are expected to have a robust technical background acquired during their PhD studies.

The multimedia security group at NUS offers a dynamic and supportive research environment, ideal for individuals keen on contributing both theoretically and practically to the field of digital security.

Job Description

• Contribute to research initiatives by developing and validating algorithms for audio-video synchronization and identity verification.
• Supervise the integration of these technologies into a cohesive system to enhance multimedia content security.
• Publish findings in high-impact journals and present at international conferences

Qualifications

• Completed all requirements for a PhD degree.
• The candidate’s track record in publication, and strengths as an independent researcher are valued.
• Expertise in advanced signal processing techniques, computer vision algorithms, or AI-based synthetic media detection is strongly preferred. If the candidate has demonstrated experience in multimedia forensics, especially in detecting deepfakes or manipulated audio/video content, this will be considered favorable.
• Committed to full-time employment at NUS, Singapore.
• Preference to candidates with strong research background relevant for the project, determined via interviews.

How To Apply
If interested, please send your resume including a cover letter, CV, and a brief statement of your work undertaken in previous positions. The initial term of appointment will be 1 year, extensible to 1 more year upon review of satisfactory performance. Selected candidates will be offered competitive salaries and benefits.

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

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

The Research Assistant (RA) will assist Professor Ivan Png in applied microeconomic research. Duties include compiling data from primary and secondary sources, analysis and programming, algebraic analysis, reviewing research, and writing. Current projects include the productivity of foreign workers and taxi drivers (https://bizfaculty.nus.edu.sg/productivity/)

Qualifications and Skills

• Honours degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

The Research Assistant (RA) will assist Professor Ivan Png in applied microeconomic research. Duties include compiling data from primary and secondary sources, analysis and programming, algebraic analysis, reviewing research, and writing. Current projects include the productivity of foreign workers and taxi drivers (https://bizfaculty.nus.edu.sg/productivity/)

Qualifications and Skills

• Honours degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, resourceful, meticulous and professional individual.
• Lead in plan, sourcing and initiate - raise purchase requests accordingly to day-to-day materials / spare parts requirements to ensure stock adequacies, required to ensure smooth Fab operations.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time (include coordination of shipments etc. with forwarders when required etc.)
• Provide good supports on logistics and inventory movements required to enable smooth FAB cleanroom operations.
• Excellent interpersonal skills and communication skills so to work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.
• Self-starter with strong ability to work with own initiative under minimal supervision.
• Process strong sense of customer service mind-set and teamwork.
• Strong flexibility and ability to handle multiple requests from across teams.
• Good communication, analytical, problem-solving skills.
• Put-up good initiatives to move forward towards systematic inventory digitalization.
• Ability to work in a multi-task environment and perform other duties assigned by Department Managers.

Experience:

• Education: Diploma in engineering discipline. Preferably in procurement, supply chain logistic/ warehouse operation.
• At least 3 years of related semiconductor engineering experiences; with good wide contacts with semiconductor material suppliers, equipment vendors.
• Relevant experience in analytics or strategic reporting will be an advantage.