Job Description:

Be part of an exciting team working on cutting-edge advanced packaging process technologies. Participate in process development and integration solution to enable advanced packaging process technologies in the world of mobile, IoT, consumer and high-performance computing area. Partner and work with various teams from inside and outside of IME to help develop leading-edge packaging solutions for our customers, taking the solutions from concept to mass production. Responsibilities will include assisting in operations support in clean room to make sure projects are completed successfully and delivered on time.

This position is based in Singapore.

Responsibilities:

• Operate semiconductor equipment to perform processes, measurement, and inspection of wafers. (Include equipment setup, loading and unloading of wafers)
• Monitor basic equipment/process errors and perform recovery.
• Work with internal and external parties to align for tool time, execute process sequence and collect data to feedback to integration owner.
• Logistically transport wafer lots between equipment within cleanroom and between worksites.
• Identify and address potential areas for improvements such as cycle time, utilization, and cost.
• Perform chemical change/ top-up for equipment under supervision.
• Understand and follow all Environmental, Health and Safety (EHS) procedures and requirements.
• The candidate may be required to perform shift work (Mon-Fri).

Experience:

• NITEC/ Diploma in Electrical/Mechanical/Chemical Engineering
• Basic understanding on semiconductor process is preferred
• 1-3 years of experience in semiconductor processes (Litho, Etch, CVD, PVD, Plating, Metrology etc.) will be added advantages

Job Description

Dr Chen Jinmiao is looking for a motivated Research Associate to join the Centre for Computational Biology (CCB) who will participate in AI-powered analysis of single-cell and spatial omics for precision medicine. Dr Chen’s research team develop AI algorithms for spatial and single-cell omics, integrates publicly available data into a centralised hub, and utilises this platform to build AI models for discovering biomarker and drug targets.

The selected candidate will perform a variety of research activities under the supervision of the Principal Investigator, including but not limited to the following:

• Develop new computational tools through the application of AI / deep learning / machine learning / statistics on spatial and single-cell omics (transcriptomics, proteomics, epigenomics, metabolomics, meta-transcriptomics, etc.) data.
• Independently carry out computational and bioinformatics analysis for large-scale spatial and single-cell omics as well as next generation sequencing studies.
• Application of qualitative and quantitative research techniques which include accurate in-depth assessment, interpretation, and evaluation of -omics data sets, conceptualize new ideas and develop plans for independent research in the field of single-cell and spatial omics and other -omics data modalities.
• Write and review research papers and present research outcomes.
• Perform routine duties related to the research study, such as data curation and making data backups, as required.
• Contribute to project management, provide guidance to junior researchers as well as undergraduate and graduate students, occasional educational/instructional activities.
• Perform other related duties incidental to the work described herein.

Job Requirements

• PhD in a related scientific area (e.g., AI, Deep Learning, Machine Learning, Statistics, Database, Bioinformatics, Computational Biology, Computer Science, Data Science, Data Analytics, Biology) with demonstrated hands on experience in bioinformatics and genetics/genomics data analyses.
• Familiar with and experienced in handling and manipulating omics datasets, including spatial transcriptomics, RNA-seq, and single-cell RNA-seq, etc.
• Proficient in R / Python and Linux / Bash.
• Prior experience and working knowledge of additional computational platforms and applications (e.g. Quantum computing, Perl, Java, etc.) preferred.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.

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 National University of Singapore invites applications for research fellow in the Department of Biochemistry, Yong Loo Lin School of Medicine. Yu lab has been established since 2021 and the major mission is to develop new therapeutic strategies for atherosclerotic coronary artery disease and metabolic diseases. We use cutting-edge technologies including functional genomics, CRISPR/Cas9-based functional screening, and multi-omics to discover novel therapeutic targets and disease regulating pathways. Appointments will be made on a one-year contract in the first instance, with the possibility of extension – amend as appropriate.

Purpose of the post

We are looking for candidates with extensive experience in cell biology, molecular biology, and mouse models. Preference will be given to candidate with prior in vivo mouse experience or prior experience with metabolism or cardiovascular research.

Qualifications

1. A PhD or equivalent in molecular biology, biochemistry, cell biology, or related field.
2. Extensive experience in molecular biology and mouse work as demonstrated by a first author publication in a relevant scientific journal.
3. Willingness to work with mice.
4. Excellent communication and teamwork skills.
5. The ability to work independently to design and troubleshoot experiments.
6. Positive attitude and strong motivation.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Yu Haojie 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 three (3) referees to this job portal.

We regret that only shortlisted candidates will be notified.

Project Overview

We are hiring research engineers interested in advancing the state of the art in data-efficient machine learning at SMART in the new program: Mens, Manus and Machina: How AI empowers people and the city in Singapore (M3S).

With the recent emergence of large language models (LLMs), the research engineers will assist in investigating how data-efficient and resource-efficient techniques, such as data attribution, data selection/reweighting, data valuation, data curation, Bayesian optimization, active learning, can be applied in the context of LLMs (as well as important issues involving AI privacy, model auditability and updatability).

Responsibilities

• Research on topics related to data-efficient machine learning, such as data attribution, data selection/reweighting, data valuation, data curation, Bayesian optimization, and active learning, in the context of LLMs.
• Investigate how these concepts as well as important issues involving AI privacy, model audibility, and updatability can be applied in the context of LLMs.
• Develop, implement, and evaluate experiments to characterise the feasibility and performance of the proposed research ideas.
• Collaborate with other PhD and undergraduate students to publish research results in top-tier conferences and journals, with focus on venues associated with the above-mentioned areas .

The research engineer will be jointly advised by Prof. Daniela Rus (MIT CSAIL), Prof. Alex 'Sandy' Pentland (MIT Media Lab), and Assoc. Prof. Bryan Low (NUS School of Computing), and based at SMART (Singapore-MIT Alliance for Research & Technology) in Singapore. The research engineer will have the opportunity to collaborate with PhD and undergraduate students, as well as Postdoctoral Fellows, within our research groups.

For more information on our research group and interests, visit

https://danielarus.csail.mit.edu/

https://www.media.mit.edu/people/sandy/overview/

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

Requirements

• Degree or Masters Degree in Computer Science, Machine Learning, Artificial Intelligence, or other related disciplines.
• Strong publication record at premier AI/ML venues such as ICML, ICLR, NeurIPS, CVPR, ACL, EMNLP or similar.
• Strong proficiency in programming.
• Strong proficiency in English and communication skills.
• Experience with machine learning and deep learning frameworks such as Pytorch, Tensorflow, among others.

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.

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 primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to perform modelling and real-time simulation of electric vessel’s onboard microgrid and propulsion system.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to develop onboard microgrid simulation models with energy management systems as well as to plan and test the relevant hardware systems.
• Work with research team to deliver the work scope and undertake these responsibilities in the project.
  Work Responsibilities:
  1. Develop detailed electrical models of the microgrid (power system) of various e-vessels based on the concept design in a simulation environment such as Matlab/Simulink.
  2. Design and develop an intelligent energy management system for the e-vessel microgrid for coordinated control of multiple energy sources considering cost, carbon, and operation constraints.
  3. Operate the simulated electrical model with EMS controller to perform simulations for various cases to demonstrate performance and recommend improvements at unit, sub-system and whole system level.
  4. Implement and carry out simulation studies for onboard microgrid and connection to shore charging infrastructure.
• Recommend efficient and reliable power system architecture(s) with other merits of high-density and light-weight.
• Test the relevant power electronics and drives system hardware and troubleshoot the challenging problems.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment and assist in laboratory management.
• Mentor students involved in the research project
• For those hired at senior levels, management responsibilities may be included

Job Requirements

• Have a Master’s or PhD’s degree in Electrical Engineering or equivalent from a recognized University. Major in Power Engineering will be advantageous.
• Minimum 3 years of relevant experience in modelling and energy management algorithm development using MATLAB/Simulink for microgrid applications.
• Knowledge of power electronics, drives, and control is highly preferred. Hardware testing experience will be advantageous.
• Have experience and commitment to participate in project meetings.
• Self-motivated team player and good project management skills.
• Excellent writing, communication, presentation, and interpersonal skills.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work

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 Associate in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP aims to bring together researchers from a wide range of disciplines with an interest to maximise human potential. In HPTRP, focusing only on human studies, we aim to adopt a holistic perspective that considers human potential as an integrative measure of health, productivity, performance, human capital and overall well-being over the lifespan, in our environment. Appointments will be made on two-year contract, with the possibility of further extension.

Purpose of the post

We are looking for a highly motivated individual to coordinate data collection and support research operations under the Growing Up in Singapore Towards healthy Outcomes (GUSTO) birth cohort study. The Research Associate will be responsible to, and work closely with, the Principal Investigators and study team members to ensure the successful completion of GUSTO projects on time. The RA’s principal role will be to work in general practices such as data collection, data entry and analysis and drafting of publications and reports.

Main Duties and Responsibilities

The Research Associate will liaise with the relevant personnel to smooth the process of recruitment and data collection and will be accountable to the Principal Investigator(s).

The Research Associate will be expected to:

1. Conduct surveys and interviews with children, adolescents, and parents at KK Children’s and Women’s Hospital
2. Manage the participant reimbursement schedule
3. Maintain data security and confidentiality according to PDPA
4. Draft ethics approval forms in accordance with IRBs
5. Conduct extensive work with data, including organization, cleaning, coding, and analysis
6. Train and supervise undergraduate research assistants
7. Provide timely updates of the study to PI/Project Manager
8. Work flexibly with participants across a range of settings (e.g., hospital, university research lab), and hours (e.g., some weekends and evenings)
9. Additional research and administrative duties (e.g., preparation of manuscripts for publication, conference presentations, purchases, grant reports)
10. Perform literature review, data analysis and drafting of reports and publications

Qualifications

• Bachelor’s or Master’s degree in Psychology, Social Sciences, or related disciplines
• Strong background in developmental research and experimental design
• Good statistical background (e.g. Microsoft Office, SPSS, R)
• Experiences working with parents and children preferred
• Excellent written and oral communication skills

Remuneration will be commensurate with the candidate’s qualifications and experience.

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

Job Summary: The Research Fellow will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on trusted collaborative machine learning that lead to publications in top-tier international conferences and journals, as well as real-world implementations.

Responsibilities:

• Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for trusted collaborative machine learning;
• Be up-to-date on state-of-the-art methodologies in related technical fields and application domains;
• Develop ideas for application of research outcomes;
• Contribute to knowledge exchange activities with external partners and collaborators;

Requirements

• A PhD in Computer Science, with specialization related to machine learning, data mining, artificial intelligence or databases;
• Proven ability to conduct independent research with a strong and relevant publication record;
• Prior experience in federated learning, Bayesian optimization, or privacy/security research in data sharing would be a plus;
• Experienced in using the latest machine learning, AI, and big data platforms;
• Excellent interpersonal communication and oral presentation skills in English

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

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

We regret that only shortlisted candidates will be notified.

Job Description

One postdoc position is available at the Surface and Interface Lab of Prof. CHEN WEI’s group at National University of Singapore. The successful candidate will work with Prof CHEN Wei on Interface Engineering for electrocatalytic CO2RR under a project on CREATE Program: “Development of Advanced Catalysts for Electrochemical Carbon Abatement”.

The project focuses on the interface engineering for electrocatalytic CO2RR. The selected candidate will work together with a team comprising experts in interfacial analysis about electrocatalytic CO2RR reaction mechanism study using home-made interface characterization tools.

Qualifications / Discipline:

• The candidate shall obtain PhD or submit PhD thesis in Chemistry or Materials in a research intensive and renowned University or Research Institute. The candidate shall publish at a few papers on top journals.

Skills:

• Excellent English writing and communication skill,
• Team management skill (help PI to lead a small research team with 1-2 master students),
• Expert in CO2RR-based catalysts synthesis, structural characterizations using TEM/SEM/AFM/XRD/UV-Vis/GC-MS, surface science techniques of XPS/UPS, NAP-XPS, and electrochemical applications (electrocatalytic CO2RR) of these materials.

Experience:

• The candidate shall have extensive experience in CO2RR-based catalysts synthesis, interfacial analysis and electrochemical applications (electrocatalytic CO2RR) of these materials.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated and skilled Research Assistant to support pioneering research in molecular microbial ecology and infectious disease evolution under the guidance of A/Prof Yann Boucher at the Singapore Centre for Environmental Life Sciences Engineering (SCELSE). This position will focus on the ecology, evolution, and genomics of enteric bacterial pathogens, with an emphasis on understanding pathogen life cycles, adaptation, and survival in human and environmental reservoirs. The successful candidate will contribute to advancing culturomics approaches to the study of microbiomes and support the discovery of new bacterial species related to key pathogens such as Vibrio cholerae. This role will suit an individual passionate about microbiology, pathogen ecology, and experimental evolution.

• Conduct laboratory-based research on the microbial ecology and evolution of enteric pathogens, with a focus on pathogen life cycles, antimicrobial resistance acquisition, and virulence factors.
• Assist in the isolation, characterization, and genomic analysis of bacterial species associated with the “cholerae clade” and other enteric pathogens.
• Support culturomics studies to examine microbial transmission dynamics between human and environmental systems.
• Collaborate with team members on experiments that investigate pathogen evolution over human timescales, particularly in response to environmental pressures and host interactions.
• Maintain detailed and accurate records of experiments, data collection, and data analysis using relevant software.
• Prepare research findings for publications, reports, and presentations, contributing to collaborative international projects.
• Daily lab management tasks such as inventory of supplies and samples, preparing culture media and solutions, autoclaving materials, ordering supplies and maintaining bacterial cultures and stocks

Qualifications

• At least Bachelor’s degree in Microbiology, Molecular Biology, Epidemiology, or a related field.
• Prior experience in laboratory research, microbial ecology, or molecular genetics preferred.
• Proficiency in molecular techniques such as PCR, DNA extraction, sequencing, and bioinformatics software for genomic analysis.
• Strong data analysis skills and familiarity with microbial ecology or evolutionary biology concepts.
• Excellent verbal and written communication, able to prepare clear research documentation and contribute to team discussions.
• Highly organized, detail-oriented, with the ability to work both independently and collaboratively in a team-oriented environment.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated and skilled Research Assistant to support pioneering research in molecular microbial ecology and infectious disease evolution under the guidance of A/Prof Yann Boucher at the Singapore Centre for Environmental Life Sciences Engineering (SCELSE). This position will focus on the ecology, evolution, and genomics of enteric bacterial pathogens, with an emphasis on understanding pathogen life cycles, adaptation, and survival in human and environmental reservoirs. The successful candidate will contribute to advancing culturomics approaches to the study of microbiomes and support the discovery of new bacterial species related to key pathogens such as Vibrio cholerae. This role will suit an individual passionate about microbiology, pathogen ecology, and experimental evolution.

• Conduct laboratory-based research on the microbial ecology and evolution of enteric pathogens, with a focus on pathogen life cycles, antimicrobial resistance acquisition, and virulence factors.
• Assist in the isolation, characterization, and genomic analysis of bacterial species associated with the “cholerae clade” and other enteric pathogens.
• Support culturomics studies to examine microbial transmission dynamics between human and environmental systems.
• Collaborate with team members on experiments that investigate pathogen evolution over human timescales, particularly in response to environmental pressures and host interactions.
• Maintain detailed and accurate records of experiments, data collection, and data analysis using relevant software.
• Prepare research findings for publications, reports, and presentations, contributing to collaborative international projects.
• Daily lab management tasks such as inventory of supplies and samples, preparing culture media and solutions, autoclaving materials, ordering supplies and maintaining bacterial cultures and stocks

Qualifications

• At least Bachelor’s degree in Microbiology, Molecular Biology, Epidemiology, or a related field.
• Prior experience in laboratory research, microbial ecology, or molecular genetics preferred.
• Proficiency in molecular techniques such as PCR, DNA extraction, sequencing, and bioinformatics software for genomic analysis.
• Strong data analysis skills and familiarity with microbial ecology or evolutionary biology concepts.
• Excellent verbal and written communication, able to prepare clear research documentation and contribute to team discussions.
• Highly organized, detail-oriented, with the ability to work both independently and collaboratively in a team-oriented environment.

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 the following full-time position in the Saw Swee Hock School of Public Health:

A research associate position is available at the Saw Swee Hock School of Public Health to support a principal investigator in cardiovascular disease epidemiology research projects.

Key Responsibilities:

The research associate will independently analyse proteomic and clinical data, contributing significantly to the understanding of cardiovascular disease. The role involves writing manuscripts focused on heart failure and developing and writing research grant proposals to secure funding for ongoing and future projects. The successful candidate will work closely with diverse experts, including epidemiologists, data scientists, and clinicians, to drive research initiatives in cardiovascular disease, ensuring a collaborative approach to advancing scientific knowledge in this field.

Qualifications:

• Strongly proficient in statistical software (R preferred, Stata, or Python).
• Experience in analysing clinical datasets
• Proficiency in Microsoft Office Applications, particularly MS Word and Excel.
• Strong skills in scientific writing and experience.
• Excellent written and verbal communication skills.
• Ability to work effectively and independently in a team environment.
• Master's degree in Statistics, Public Health with a strong quantitative background, Computer Science, or Mathematics with relevant experience in data science.

Additional Information:

• Recruitment is open immediately and will continue until the position is filled.
• Applicants should send a brief statement of interest, CV, three named references, and other supporting documents during the application process.

If you are passionate about applying data science to advance heart failure research, we invite you to join our team and make a difference.

Recruitment is open immediately and will continue until the position is filled. Applicants should send a brief statement of interest, CV, three named references, and other supporting documents during the application.

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

We are seeking a highly motivated and skilled research scientist to join our team in the development of advanced materials through self-assembly techniques for selective ion capture and transport. The candidate will be responsible for designing, synthesizing, and characterizing sponges and membranes with tailored properties to facilitate the selective separation, capture and transport of specific ions.

• Design and conduct research on self-assembly methods for fabricating sponges and membranes with controlled porosity and surface chemistry
• Develop protocols for ion-selective capture and transport, focusing on optimizing materials for applications in filtration, water purification, and ion recovery
• Synthesize and characterize various materials, including polymers, hydrogels, and nanomaterials, to create functional sponges and membranes with desired selectivity
• Perform material characterization using techniques such sa SEM, TEM, FTIR, XRD, and surface area analysis to assess structural properties
• Evaluate the ion capture and transport efficiency of synthesized materials through experimental testing in simulated environments

Job Requirements

• PhD in Materials Science and Engineering
• Strong background in self-assembly techniques, membrane fabrication, polymer science, and nanomaterials
• Experience with material characterization techniques such as SEM, TEM, FTIR, XRD, and ion transport testing
• Demonstrated experience in ion capture, separation, and transport processes, with a focus on designing materials for selective applications

Role Description:

• Responsible for semiconductor fab automation with Autonomous Mobile Robot (AMR) & SECS/GEM
• MES knwolegeable and work with vendors to evaluate and enable communication between MES, Tool and AMR.
• Responsible for proposing/developing/implementing/maintaining IOT automation systems collecting/cleaning/restructuring equipment data and storage in data management system
• Maintenance of AMR and existing system performing periodic data integrity checks, create automated failure alerts, perform timely fixes when necessary and continuously improve the automation frameworks with new innovative features\
• Create Web UI for admin/user required view & operation. Create automated periodic insights/analytics/reports/visualisation/alerts operations required for timely decision-making processes.

Job Requirements

• Degree in Computer Science, Engineering or relevant field
• Ability to work independently and team player to deliver result in fast paced and collaborative environment
• Preferable with 1-3 experience in various semiconductor process module/knowledge, equipment engineering or digital transformation, specifically in SECS/GEM Automation.
• Knowledge in communication systems and network protocols used between tool and factory automation (SECS/GEM knowledge & semiconductor/manufacturing environment)
• Knowledge in variety of operating system (OS) used for automation (e.g SECS/GEM, php, js, sql). Other technical skills such as AMHS, vb, xml will be a plus/
• Preferable to have experience in data mining, database engineering, software development

Role Description:

• Responsible for semiconductor fab automation with Autonomous Mobile Robot (AMR) & SECS/GEM
• MES knwolegeable and work with vendors to evaluate and enable communication between MES, Tool and AMR.
• Responsible for proposing/developing/implementing/maintaining IOT automation systems collecting/cleaning/restructuring equipment data and storage in data management system
• Maintenance of AMR and existing system performing periodic data integrity checks, create automated failure alerts, perform timely fixes when necessary and continuously improve the automation frameworks with new innovative features\
• Create Web UI for admin/user required view & operation. Create automated periodic insights/analytics/reports/visualisation/alerts operations required for timely decision-making processes.

Job Requirements

• Degree in Computer Science, Engineering or relevant field
• Ability to work independently and team player to deliver result in fast paced and collaborative environment
• Preferable with 1-3 experience in various semiconductor process module/knowledge, equipment engineering or digital transformation, specifically in SECS/GEM Automation.
• Knowledge in communication systems and network protocols used between tool and factory automation (SECS/GEM knowledge & semiconductor/manufacturing environment)
• Knowledge in variety of operating system (OS) used for automation (e.g SECS/GEM, php, js, sql). Other technical skills such as AMHS, vb, xml will be a plus/
• Preferable to have experience in data mining, database engineering, software development

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

• Assist CAG research projects and activities, and support CAG Senior Research Fellows and Faculty Associates in their research projects
• Prepare background briefs, presentations, and track specific issues
• Conduct independent research, and write academic and policy research papers and reports
• Compile and manage research materials and products
• Provide editorial and management support to research projects, events, and publications
• Organise and support CAG events, including academic and policy conferences and workshops
• Undertake other administrative duties related to research projects such as managing correspondence and filing
• Support CAG public engagement including social media content management and website maintenance

Job Requirements

• A Master’s degree holder in a discipline within the social sciences and/or humanities
• Expertise or interests in any of the following:
  o China-India relations
  o Asian politics and international relations, including great power politics and Southeast Asian regional politics
  o Applicants with other areas of interests will also be considered if relevant to CAG research focus
• Strong analytical ability and strong self-motivation
• Able to work independently
• An ability to engage with research and policy communities in Asia and around the world
• A strong sense of collegiality
• Excellent spoken and written English
• Ability/experience with social media content management tools
• At least 2-3 years of experience in academic research

Application Procedure

Applicants should submit in electronic form (MS Word or PDF file) for the following below:

• Cover letter, with a brief statement of research expertise and its relevance to research interests as above
• Detailed curriculum vitae
• At least one writing sample (in English)
• Two references/recommendation letters
• Joining date: January 2025
• Application deadline: December 15, 2024

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

Position Overview: The Academy for Healthy Longevity at the Yong Loo Lin School of Medicine, National University of Singapore, seeks a dynamic and versatile Research Associate to serve as the Executive Support and Operations Lead. This pivotal role will provide high-level support to the Principal Investigator (PI) and executive staff, while gaining broad exposure to various aspects of geroscience and geromedicine research. The successful candidate will play a crucial role in advancing the Academy's mission to position Singapore as a global leader in healthy aging research.

This one-year appointment offers an exceptional opportunity for a motivated individual to fast-track their research career by engaging in diverse projects and gaining comprehensive insights into the field of healthy longevity.

Main Duties and Responsibilities

## Executive Support

- Serve as the primary liaison between the PI, executive staff, and internal/external stakeholders

- Manage the PI's schedule, including coordinating meetings, travel arrangements, and prioritizing commitments

- Prepare and edit high-level correspondence, reports, and presentations for the PI and executive team

- Assist in the development and implementation of strategic initiatives aligned with the Academy's goals

## Research Coordination

- Collaborate with research teams to track project progress and ensure timely completion of deliverables

- Assist in the preparation of grant proposals, ethics applications, and regulatory documentation

- Coordinate with internal departments and external partners to facilitate research collaborations

- Support the dissemination of research findings through publications and conference presentations

Main Duties and Responsibilities

## Operational Management

- Support day-to-day operations of the Academy, ensuring efficiency and effectiveness

- Support the management of budgets and financial planning for research projects and operational activities

- Coordinate facility and equipment management to support research activities

## Team Leadership and Development

- Assist in the recruitment, onboarding, and training of new staff and students

- Identify training needs and facilitate professional development opportunities for team members

- Foster a collaborative and innovative work environment that promotes excellence in research

## Stakeholder Engagement

- Represent the Academy at conferences, workshops, and public forums

- Assist in organizing and executing outreach events and initiatives to promote the Academy's work

- Build and maintain relationships with academic partners, industry collaborators, and government agencies

Qualifications

- Master's degree in Life Sciences, Medicine, Public Health, or a related field

- Minimum of 3 years of experience in a research or healthcare setting, with demonstrated project management skills

- Strong understanding of clinical research protocols, regulatory requirements, and ethical standards

- Excellent organizational and problem-solving skills, with the ability to manage multiple projects simultaneously

- Exceptional written and verbal communication skills, with the ability to interact effectively with diverse stakeholders

- Proficiency in data analysis, research methodologies, and relevant software applications

- Demonstrated leadership potential and the ability to work both independently and collaboratively

- Keen interest in geroscience, geromedicine, and healthy aging research

- Adaptability and willingness to engage in a wide range of tasks and research areas

This position offers an unparalleled opportunity to gain comprehensive exposure to cutting-edge research in healthy longevity while developing crucial leadership and operational skills. The successful candidate will play a vital role in advancing the Academy's mission and positioning themselves for rapid career growth in the dynamic field of geroscience.

Jobs Description & Requirements:

• Diploma in Civil Engineering or equivalent from tertiary institutions subject to Authority’s Representative’s Approval;
• Resident Technical Officer /site supervisors must be accepted by BCA under the Building Control Act / Resident Technical Officer /site supervisors shall possess at least the National Construction Certificate of Supervision (NCCS) and possesses minimum 3 years relevant work experience.
• Registered as Resident Technical Officer with BCA/IES/ACES;
• Possess at least 5 years of site supervision experience, including experience in supervision of pipe jacking works, building works and architectural elements and finishing works.
• Shall be conversant with contract administration, statutory requirements for site supervisors, quality control procedures, and submission of progress reports.
• Must be willing to do overtime or shift work if requested
• Preferably Singapore citizen or SPR
• Contract duration: 12 months

Please include the following information in the resume

1. Reasons for leaving current and/or last employment

2. Last drawn and/or current salary in Singapore Dollar

3. Expected salary in Singapore Dollar

4. Date of availability and/or Notice Period

5. A current photograph

6. Latest RTO Cert

Job Description:

Be part of an exciting team working on cutting-edge advanced packaging process technologies. Participate in process development and integration solution to enable advanced packaging process technologies in the world of mobile, IoT, consumer and high-performance computing area. Partner and work with various teams from inside and outside of IME to help develop leading-edge packaging solutions for our customers, taking the solutions from concept to mass production. Responsibilities will include assisting in operations support in clean room to make sure projects are completed successfully and delivered on time.

This position is based in Singapore.

Responsibilities:

• Operate semiconductor equipment to perform processes, measurement, and inspection of wafers. (Include equipment setup, loading and unloading of wafers)
• Monitor basic equipment/process errors and perform recovery.
• Work with internal and external parties to align for tool time, execute process sequence and collect data to feedback to integration owner.
• Logistically transport wafer lots between equipment within cleanroom and between worksites.
• Identify and address potential areas for improvements such as cycle time, utilization, and cost.
• Perform chemical change/ top-up for equipment under supervision.
• Understand and follow all Environmental, Health and Safety (EHS) procedures and requirements.
• The candidate may be required to perform shift work (Mon-Fri).

Experience:

• NITEC/ Diploma in Electrical/Mechanical/Chemical Engineering
• Basic understanding on semiconductor process is preferred
• 1-3 years of experience in semiconductor processes (Litho, Etch, CVD, PVD, Plating, Metrology etc.) will be added advantages

Job Description:

Be part of an exciting team working on cutting-edge advanced packaging process technologies. Participate in process development and integration solution to enable advanced packaging process technologies in the world of mobile, IoT, consumer and high-performance computing area. Partner and work with various teams from inside and outside of IME to help develop leading-edge packaging solutions for our customers, taking the solutions from concept to mass production. Responsibilities will include assisting in operations support in clean room to make sure projects are completed successfully and delivered on time.

This position is based in Singapore.

Responsibilities:

• Operate semiconductor equipment to perform processes, measurement, and inspection of wafers. (Include equipment setup, loading and unloading of wafers)
• Monitor basic equipment/process errors and perform recovery.
• Work with internal and external parties to align for tool time, execute process sequence and collect data to feedback to integration owner.
• Logistically transport wafer lots between equipment within cleanroom and between worksites.
• Identify and address potential areas for improvements such as cycle time, utilization, and cost.
• Perform chemical change/ top-up for equipment under supervision.
• Understand and follow all Environmental, Health and Safety (EHS) procedures and requirements.
• The candidate may be required to perform shift work (Mon-Fri).

Experience:

• NITEC/ Diploma in Electrical/Mechanical/Chemical Engineering
• Basic understanding on semiconductor process is preferred
• 1-3 years of experience in semiconductor processes (Litho, Etch, CVD, PVD, Plating, Metrology etc.) will be added advantages

WE ARE ON THE HUNT TO HIRE THE BEST CUSTOMER SERVICE & OPERATIONS EXECUTIVE TO JOIN OUR CUSTOMER RELATION TEAM!

Job Highlights

• No Sundays, Centre holidays
• Yearly salary increment, Work-life balance, Medical/dental
• Your contribution matters! Plenty promotion opportunities

An enrichment centre established since 2009.
The Writer’s Place is The School of Writing in Singapore for primary school students to learn the art of English creative writing. Being a pioneer with more than a decade in the industry, we are still strongly committed to helping children gain confidence in English creative writing and performing well in school!

Job Description:

• Provide administrative, customer and management support
• Be the forefront in handling customers’ enquiries
• Recruitment and enrolment of students,
• Any other tasks as required by management from time to time

Job Requirements:

• STRICTLY ONLY SINGAPOREAN MAY APPLY (DUE TO NO QUOTA)
• ABLE TO WORK tuition centre operation hours ie. Weekday nights and Saturdays
• Required to speak English and Mandarin (to liaise with Mandarin-speaking clients)
• Warm personality, self-driven, organized, confident
• Required to multi-task and work independently
• 5 working days : Tues- Fri (12.00pm-8.45pm) & Sat (8.30am – 5.15pm)
• Centre is closed on Mon, Sun & PH

Centre Location:

• Woodlands Galaxy Community Club (5 min walk from Admiralty MRT)
• Junction 10 mall (Bukit Pajang Mrt)

Job Details & Benefits for the best:

• CPF contribution
• Paid annual leave
• Paid sick leave
• Paid Public Holiday
• Good Medical and Dental benefits
• Work-life balance
• Centre holidays on top of annual leave
• Probation period of 2 months.

Excellent Career Progression:

• Company is seeking to groom capable individuals into Centre Managers
• Others position available: Centre Managers, English & Writing Teacher Specialist (Full-time/part-time)

Join us if you can be a driver of success!

Interested candidates, please send in your resume along with Expected Salary.

We regret that only shortlisted candidates will be notified.

www.thewritersplace.com.sg

WE ARE ON THE HUNT TO HIRE THE BEST CUSTOMER SERVICE & OPERATIONS EXECUTIVE TO JOIN OUR CUSTOMER RELATION TEAM!

Job Highlights

• No Sundays, Centre holidays
• Yearly salary increment, Work-life balance, Medical/dental
• Your contribution matters! Plenty promotion opportunities

An enrichment centre established since 2009.
The Writer’s Place is The School of Writing in Singapore for primary school students to learn the art of English creative writing. Being a pioneer with more than a decade in the industry, we are still strongly committed to helping children gain confidence in English creative writing and performing well in school!

Job Description:

• Provide administrative, customer and management support
• Be the forefront in handling customers’ enquiries
• Recruitment and enrolment of students,
• Any other tasks as required by management from time to time

Job Requirements:

• STRICTLY ONLY SINGAPOREAN MAY APPLY (DUE TO NO QUOTA)
• ABLE TO WORK tuition centre operation hours ie. Weekday nights and Saturdays
• Required to speak English and Mandarin (to liaise with Mandarin-speaking clients)
• Warm personality, self-driven, organized, confident
• Required to multi-task and work independently
• 5 working days : Tues- Fri (12.00pm-8.45pm) & Sat (8.30am – 5.15pm)
• Centre is closed on Mon, Sun & PH

Centre Location:

• Woodlands Galaxy Community Club (5 min walk from Admiralty MRT)
• Junction 10 mall (Bukit Pajang Mrt)

Job Details & Benefits for the best:

• CPF contribution
• Paid annual leave
• Paid sick leave
• Paid Public Holiday
• Good Medical and Dental benefits
• Work-life balance
• Centre holidays on top of annual leave
• Probation period of 2 months.

Excellent Career Progression:

• Company is seeking to groom capable individuals into Centre Managers
• Others position available: Centre Managers, English & Writing Teacher Specialist (Full-time/part-time)

Join us if you can be a driver of success!

Interested candidates, please send in your resume along with Expected Salary.

We regret that only shortlisted candidates will be notified.

www.thewritersplace.com.sg

Job Highlights

• Dynamic working environment
• Open and collaborative culture

Inspired by Singapore’s culture, colours, and flavours, Artyzen Singapore represents a modern interpretation of the luxury lifestyle where your utmost comforts are met.

Centrally located in the heart of the city, Artyzen Singapore is just a stone’s throw from Orchard Road. Home to the 142-room luxury lifestyle accommodations, this iconic heritage landmark was once the sprawling tropical-garden mansion named “Marie Villa” by the great-grandson of Singapore’s well-known philanthropist, the late Mr Tan Tock Seng.

Responsibilities:

• Manage and maintain the hotel’s physical assets, including buildings, grounds, equipment, and systems.
• Coordinate repairs and maintenance with internal teams and external contractors.
• Ensure that all equipment and systems are functioning properly and efficiently.
• Conduct regular inspections of the hotel’s facilities and infrastructure to identify areas for improvement.
• Develop and implement preventative maintenance programs to ensure the longevity of the hotel’s assets.
• Maintain records of all repairs, maintenance, and inspections for compliance and reporting purposes.
• Manage and monitor utility usage and expenses, including water, electricity, and gas.
• Assist with the planning and execution of hotel renovations and upgrades.
• Coordinate with other hotel departments to ensure the seamless operation of the hotel.
• Participate in emergency response procedures and provide support during emergencies.

Qualifications:

• Skills set certifications related to facility and management operations are required.
• Previous experience in hotel facility and management operations is preferred.
• Excellent communication and interpersonal skills.
• Ability to work well in a team environment and under pressure.
• Strong sense of responsibility and attention to detail.
• Ability to respond quickly and effectively to emergencies.
• Must be available to work flexible hours, including nights, weekends, and holidays.
• Excellent communication and interpersonal skills, with the ability to work as a team.
• Good command of written and spoken English.
• Adaptable and outgoing with excellent interpersonal skill.
• Ability to work under pressure and be flexible.
• Passionate and enthusiastic with a positive ‘can-do’ attitude.

Job Description:

Be part of an exciting team working on cutting-edge advanced packaging process technologies. Participate in process development and integration solution to enable advanced packaging process technologies in the world of mobile, IoT, consumer and high-performance computing area. Partner and work with various teams from inside and outside of IME to help develop leading-edge packaging solutions for our customers, taking the solutions from concept to mass production. Responsibilities will include assisting in operations support in clean room to make sure projects are completed successfully and delivered on time.

This position is based in Singapore.

Responsibilities:

• Operate semiconductor equipment to perform processes, measurement, and inspection of wafers. (Include equipment setup, loading and unloading of wafers)
• Monitor basic equipment/process errors and perform recovery.
• Work with internal and external parties to align for tool time, execute process sequence and collect data to feedback to integration owner.
• Logistically transport wafer lots between equipment within cleanroom and between worksites.
• Identify and address potential areas for improvements such as cycle time, utilization, and cost.
• Perform chemical change/ top-up for equipment under supervision.
• Understand and follow all Environmental, Health and Safety (EHS) procedures and requirements.
• The candidate may be required to perform shift work (Mon-Fri).

Experience:

• NITEC/ Diploma in Electrical/Mechanical/Chemical Engineering
• Basic understanding on semiconductor process is preferred
• 1-3 years of experience in semiconductor processes (Litho, Etch, CVD, PVD, Plating, Metrology etc.) will be added advantages

Job Description

1. Perform research in the following areas:

a. Global performance analysis, and/or

b. Global structural response analysis

2. Assist in conducting physical model tests, field experiments and numerical simulations to support the development of integrated physical-numerical modelling and simulations.

3. Collaborate with industry partners, affiliated research institutes and other relevant stakeholders to contribute to grant proposals for research funding consistent with the strategic goals of TCOMS.

4. Any other duties as assigned by supervisor.

Job Requirements

· Bachelor's/Master's Degree in Civil Engineering, Mechanical Engineering, Marine Engineering, Naval Architecture, Applied Mathematics or other related disciplines.

· Preferably having relevant research/industry experience with competent knowledge in some of the following areas: Offshore engineering, marine engineering, hydrodynamics, naval architecture and ocean engineering.

· At least 5 years of experience

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

o CAD software such as SolidWorks, Rhino, AutoCAD

o Engineering tools such as WAMIT, SESAM and OrcaFlex

o Finite Element analysis tools such as SESAM, ABAQUS, Ansys

o Programming codes such as FORTRAN, Python, MATLAB, C++ or equivalent.

· Good interpersonal and communications skills.

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

· Good command of written and spoken language.

· 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 Summary

The Haematological Malignancy Genomics Laboratory, led by Professor Chng Wee Joo, focuses on using advanced genomics and proteomics methods to study the clinical and biological complexities of haematological malignancies such as multiple myeloma (MM), acute myeloid leukemia (AML), and NK/T-cell lymphoma (NKTL). This translational research program aims to discover diagnostic markers, identify novel therapeutic targets, and uncover molecular mechanisms of disease, advancing our understanding of cancer pathogenesis and potential treatments.

We are seeking a Research Assistant to support ongoing research in murine models. This role involves assisting in studies on mouse models to validate discoveries in haematological malignancies, with a focus on preclinical validation of novel therapeutic targets, therapeutic resistance mechanisms, and biomarker identification. This is a hands-on laboratory position requiring proficiency in animal handling, genotyping, and familiarity with experimental protocols involving mouse models.

Job Description

• Animal Model Handling:
  Conduct routine handling and care of laboratory mice, ensuring adherence to ethical and welfare standards.
  Support experimental setups in mouse models to study disease pathogenesis, progression, and therapeutic responses in haematologic malignancies.
  Perform injections, tissue sampling, and necropsies as required for experiments.
• Data Collection and Analysis:
  Assist in collecting and processing biological samples (e.g., blood, tissue) from mouse models for downstream molecular analyses.
  Maintain accurate records of experiments, data collection, and sample inventory in a clinical database for integrated bioinformatics analysis.
• Genomic and Proteomic Support:
  Assist in sample preparation for genomics and proteomics studies, including DNA/RNA extraction and preparation for sequencing and protein assays.
  Support preclinical validation of molecular markers and therapeutic targets identified from genomic studies.
• Laboratory Support and Maintenance:
  Ensure lab equipment related to mouse work is well-maintained and calibrated.
  Follow all safety protocols and maintain a clean, organized work environment.
  Assist in the maintenance of a comprehensive tissue bank, ensuring high-quality source material is available for research.
• Collaboration and Reporting:
  Collaborate closely with senior researchers, assisting in the analysis of data from mouse models.
  Report findings and observations to the research team and contribute to discussions on the impact of preclinical findings on clinical applications.

Requirements

• Bachelor’s degree in Biomedical Sciences, Molecular Biology, or a related field.
• Prior experience in laboratory animal handling, preferably with mouse models.
• Experience in haematological research or genomics/proteomics is an advantage.
• Knowledge of standard laboratory procedures for working with mouse models.
• Strong organizational skills, attention to detail, and ability to maintain accurate data records.
• Familiarity with molecular biology techniques such as DNA/RNA extraction, PCR, and Western blotting.
• Effective communication skills and ability to work collaboratively within a research team.