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 fellow position is available in the Saw Swee Hock School of Public Health to support the Principal Investigators in research projects in the areas of Environmental and Cancer Epidemiology.

Major duties and responsibility of the position include but are not limited to:
• Data collection and management
• Data analysis using software such as R, Stata or SAS.
• Preparation of reports, presentations, manuscripts.
• Writing grant proposals
• Provide mentorship to graduate students and research assistants

The candidate must be an independent, highly motivated, and mature worker who is well-organized and demonstrates a growth mindset. Strong written and verbal communication skills are required, along with a record of relevant publications in peer-reviewed journals. He/She must have strong interpersonal skills and the ability to work effectively with colleagues to achieve team goals. Excellent proficiency in the following areas is preferred:

1. Microsoft Office Applications, particularly MS Word, Excel, Powerpoint
2. Experience in R, Python

The successful applicant is expected to possess at least a PhD Degree in Epidemiology, Public Health, Environmental Health, Biological Sciences, Biostatistics, Data Science, preferably with relevant experience. Prior experience with machine learning is a plus.

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. In your statement of interest, please highlight your relevant experience and interest in environmental and cancer epidemiology research.

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 Coastal Protection and Flood Resilience Institute (CFI) Singapore is actively seeking a Research Engineer to contribute to a groundbreaking research project. This research explores the efficacy of integrated nature-based solutions in sediment erosional control and coastal protection. The goal is to develop innovative, physically based models that quantify the protective benefits a vegetation meadow can offer to shorelines.

The Research Engineer will participate in experimental research, with a specific focus on studying sediment flux in hybrid solutions to coastal protection. He/she will lead and execute flume experiments, data analysis and field sampling as well as specific tasks which includes planning and conducting experiments, running laboratory analyses, collection and analysis of data, and performing basic administrative duties.

He/she will work need to work with Assistant Professor Gary Lei from Civil and Environmental Engineering and Dr. Ow Yan Xiang from the Tropical Marine Science Institute (TMSI) at NUS. Ideally, we are interested in candidates with prior experience with laboratory experiments.

Job Requirements

• Possess a bachelor’s degree in environmental engineering /Environmental Science/ Mechanical Engineering, or a closely-related field.
• Priority will be given to applicants who have prior research experience in coastal engineering, aquatic plants science, eco-hydraulics, and/or environmental fluid mechanics.
• Strong verbal and written communication skills.
• Proficient with Microsoft Suite and R, or other equivalent analytic software.
• 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

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

A research assistant position is available in the Saw Swee Hock School of Public Health to support the Principal Investigators in research projects in the areas of Environmental and Cancer Epidemiology.

Major duties and responsibility of the position include but are not limited to:
• Data collection and management
• Literature review
• Data analysis using software such as R, Stata or SAS.
• Designing, testing, and administering surveys and questionnaires
• Research coordination
• Preparation of reports, presentations, manuscripts.

The candidate must be an independent, highly motivated, and mature worker who is well-organized and demonstrates a growth mindset. Candidate must possess excellent written and verbal communication skills. He/She must have strong interpersonal skills and the ability to work effectively with colleagues to achieve team goals. Good proficiency in the following areas is preferred:

1. Microsoft Office Applications, particularly MS Word, Excel, Powerpoint
2. Experience in R, Python

The successful applicant is expected to possess at least a Bachelor’s Degree in Epidemiology, Public Health, Environmental Health, Biological Sciences, Biostatistics, Data Science, preferably with relevant experience. Prior experience with machine learning is a plus.

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. In your statement of interest, please highlight your relevant experience and interest in environmental and cancer epidemiology research.

We regret that only shortlisted candidates will be notified.

Clinical Care

· Work under supervision of Nursing Officer to analyse, plan, implement and evaluate nursing care for clients. Co­ ordinate and implement care plan for the clients.

· Pack and serve medication and update of in-patient medical records, sign IMR upon serving.

· Conduct rounds to ensure clients are well and safe and report any abnormality for immediate/tii1nely treatment and follow up with nursing supervisor.

· Assist in Doctor's rounds and in treatments and examinations of clients including perform blood taking and vaccination.

· Identify problems related to illness and decline in functional, cognitive abilities and advocate early medical attention.

· Be familiar with all aspects of nursing care and emergency evacuation procedures so as to be able to attend to emergencies that may arise.

Quality

· Assist and supervise activities and rehabilitation programmes to enhance the quality of life for clients.

· Maintain systematic inventory control of drugs in wards/out-patient stocks and all assets acquired in order to achieve optimal utilization and safe storage.

· Practise proper decontamination procedure and infection control, and ensure safe custody of clients.

· Promote effective and co-operative working relationships in an interdisciplinary team within the unit and with all the internal and external customer groups to deliver quality service to patients, relatives and visitors. Utilise good communication skills to develop and maintain productive relationships within unit, with other departments, disciplines agencies and the public.

· Participate in MDR rounds, QA programmes, organisational committees, workgroups activities.

· Ensure compliance with existing standard operating procedures.

· Update and tract records of RAF for residents. (On admission,2 weeks after admission, 6 monthly and when resident condition changed.)

Training & Development

· Supervise and guide subordinates (EN/NNHCA) in their duties. Evaluate and discipline the performance of all staff within scope of responsibility.

· Educate, train and supervise patients, families and caregivers. Provide health education to clients and families.

· Orientate recruit/s of professional and non-professional nursing personnel in the respective area/s.

Administration

· Assess and determine suitability of client referrals (means testing) through initial screening, conduct full assessment on admission and periodically review nursing care plans and documentation.

· Update all nursing records and reports.

· Ensure all documentation of clients' care management is maintained and filed accordingly.

· Ensure safe storage of all confidential records and documents and that clients' confidentiality is maintained at all times.

· Ensure equipments are in proper working condition.

Education level: Degree in Nursing or its equivalent

Experience level: above 2 years

Clinical Care

· Work under supervision of Nursing Officer to analyse, plan, implement and evaluate nursing care for clients. Co­ ordinate and implement care plan for the clients.

· Pack and serve medication and update of in-patient medical records, sign IMR upon serving.

· Conduct rounds to ensure clients are well and safe and report any abnormality for immediate/tii1nely treatment and follow up with nursing supervisor.

· Assist in Doctor's rounds and in treatments and examinations of clients including perform blood taking and vaccination.

· Identify problems related to illness and decline in functional, cognitive abilities and advocate early medical attention.

· Be familiar with all aspects of nursing care and emergency evacuation procedures so as to be able to attend to emergencies that may arise.

Quality

· Assist and supervise activities and rehabilitation programmes to enhance the quality of life for clients.

· Maintain systematic inventory control of drugs in wards/out-patient stocks and all assets acquired in order to achieve optimal utilization and safe storage.

· Practise proper decontamination procedure and infection control, and ensure safe custody of clients.

· Promote effective and co-operative working relationships in an interdisciplinary team within the unit and with all the internal and external customer groups to deliver quality service to patients, relatives and visitors. Utilise good communication skills to develop and maintain productive relationships within unit, with other departments, disciplines agencies and the public.

· Participate in MDR rounds, QA programmes, organisational committees, workgroups activities.

· Ensure compliance with existing standard operating procedures.

· Update and tract records of RAF for residents. (On admission,2 weeks after admission, 6 monthly and when resident condition changed.)

Training & Development

· Supervise and guide subordinates (EN/NNHCA) in their duties. Evaluate and discipline the performance of all staff within scope of responsibility.

· Educate, train and supervise patients, families and caregivers. Provide health education to clients and families.

· Orientate recruit/s of professional and non-professional nursing personnel in the respective area/s.

Administration

· Assess and determine suitability of client referrals (means testing) through initial screening, conduct full assessment on admission and periodically review nursing care plans and documentation.

· Update all nursing records and reports.

· Ensure all documentation of clients' care management is maintained and filed accordingly.

· Ensure safe storage of all confidential records and documents and that clients' confidentiality is maintained at all times.

· Ensure equipments are in proper working condition.

Education level: Degree in Nursing or its equivalent

Experience level: above 2 years

• Hiring, training, and coordinating undergraduate research assistants
• Extensive work with data, including organization, cleaning, coding, and analysis
• Manage the participant reimbursements
• Maintain data security and confidentiality
• Provide timely updates of studies to PI
• Working with participants across a range of settings and studies
• Research and administrative duties (e.g., preparation of manuscripts for publication, conference presentations, purchases, grant reports)
• Any other work assigned by the PI

The Research Assistant / Senior Research Assistant will conduct research in deep learning and Artificial Intelligence, perform experiments, and publish research papers in top-tier venues.

Qualifications & Experiences:

• Bachelor's / Master's degree in computer science, engineering, or a related field with a focus on computer vision, and an advanced level of understanding and expertise in the field.
• Proficiency in programming languages (Python)
• Familiarity with computer vision libraries and tools (such as OpenCV, TensorFlow, PyTorch) is essential.

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.

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.

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

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.

IFCHOR GALBRAITHS is a globally recognised, international shipbroker with 20 offices and over 300 employees globally.

We pride ourselves in delivering a high quality, service minded approach, through our extensive network of proactive team of brokers in strategic locations worldwide.

As part of our expansion, we are currently looking for a young professional intern to join and contribute to the continued development of our highly regarded research team and the further success of a world-leading shipbroking house on a professional internship.

The successful candidate will be based at our office in Singapore. Duration of Internship will be around 6 months.

Job Title

Assistant Market Research Analyst (Internship)

Role Description

The executive role will be part of our in-house market research arm that provides freight market analysis and actionable intelligence to the other business units (ship broking, S&P and finance) and their clients.

Tasks and responsibilities:

· Play an active role in further developing and automating routines, procedures used for processing various type of market-related data

· Develop recognized expertise in specific commodity (minor bulks, specifically) and shipping markets

· Conduct fact-based research and analysis to support the production of actionable intelligence

· Keep track of the latest market developments, develop price views and provide related communication and recommendations to commercial teams

· Assist with publication of research commentaries and other studies and presentations

· Any other ad-hoc duties as assigned

Profile - qualifications and capabilities:

· Any degree with strong interest in Commodity and/or Freight Analysis is welcome

· Passion in numerical/data analysis

· Basic MS Excel proficiency, soft programming (e.g. VBA & SQL, shell scripting) and databases skills (e.g. Access or mySQL)

· Strong communication skills with the ability to communicate with various internal and external stakeholders

· Enjoy working in a small knitted team and able to perform under pressure

· Independent and self-motivated, highly reliable and readiness to take on responsibility

· Fluent in written and spoken English. Other languages a plus

Please submit your application via email to [email protected]

Please note that we will only respond to applicants who correspond to the profile.

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.

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

Why Join Us

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

About Algo Team

The algorithm team is responsible for developing state-of-the-art computer vision, NLP and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related local regulations. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Job Description

We are looking for a highly self-motivated research engineer to join our algo team. In our team, you will have the opportunity to participate in the development of the cutting-edge content understanding model to help improve the recognition ability of violated content in TikTok, and will also be responsible for optimizing our distributed model training framework continuously. The ideal candidate should be experienced in building a computer vision model or multimodality model and have a very strong coding ability in Pytorch/Tensorflow

Responsibilities

1. Develop computer vision model or multimodality model to recognize violation content in TikTok

2. Explore cutting-edge multimodal or computer vision large models (CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G, ViT-22B, EVA-enormous, etc)

3. Explore the application of LLM in our business scenarios, like pre-training, zero-shot/ few-shot learning, hard case mining, etc

4. Continuously optimize the training framework to better adapt to the training of large models

Qualifications

1. Final year or recent graduate with a background in computer science or a related technical discipline.

2. At least 3 years of experience in at least one of the following areas: computer vision, multimodality, LLM

3. Be proficient with at least one deep learning framework (e.g. PyTorch, TensorFlow)

4. Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills

Preferred Qualifications:

Published papers in the top AI conferences or journals is a plus, including CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, IJCV, etc

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected]

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Coastal Protection and Flood Resilience Institute (CFI) Singapore at the National University of Singapore is hiring a Research Fellow (RF). The successful candidate will conduct research and technology scan on current and future trends in coastal protection and flood management solutions, including increasing use of AI in computational fluid dynamics, extreme event prediction and condition monitoring. He/she will also conduct research in some of the abovementioned topics and write research proposals to secure grants for CFI.

Job Requirements

• Possess a recognised PhD degree in civil engineering, mechanical engineering, computer science, or a related discipline
• R&D experience in coastal/offshore/structural engineering and/or AI and machine learning.
• Strong writing and communication skills.
• Ability to work independently and in a team .
• 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 successful candidate will work with Dr Brandon I Morinaka on production and biological evaluation of peptide natural products under a project on Genome mining and biosynthesis of peptide natural products.

The main responsibilities of the position include:
• Support safe operations and maintenance of equipment in the lab.
• Facilitate working with undergrad students when necessary.
• Assist with procurement and ordering of chemicals and consumables.
• Carry out research for new peptide natural products discovery and development including recombinant protein expression, and production and extraction of natural products.

Qualifications

• Qualifications / Discipline:
B.S. in Pharmaceutical Science, Chemistry, Biochemistry, or related discipline.

• Skills:
Biochemical techniques (protein expression and purification, SDS-PAGE, size exclusion and affinity chromatography) and/or Analytical chemistry (NMR, MS, HPLC). Good written and oral communication skills. Able to work effectively in a team.

• Experience:
Previous research experience in a chemistry, biochemistry, or biology lab.

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.

• Assist the Medical Director in the consultation room and procedures both in & outside the Centre.
• Assist in laser refractive procedures and other minor procedures.
• Maintain stocks & inventory of surgical consumables and upkeep of operating theatre and instrument sterility.

Requirements:

• Fully registered with Singapore Nursing Board
• At least 2 years of nursing experience in Ophthalmic/Surgical setting

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

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