Location: Pioneer

Duration: 6 Months Contract

Salary Range: $4K - $4.5K

• Assist with research in the department
• Dealing to qualitative and quantitative research data
• Other ad hoc duties assigned

Requirements

• Comfortable working with quantitative data
• Familiar with SPSS
• Familiar with aspects of quantitative analysis from the preparation of data to multivariate analyses

Interested applicants please send your resumes to [email protected]

Jessica Nguyen Huynh Thanh Truc

Recruiter (R23113787)

EA License No. 99C4599

We regret that only shortlisted candidates will be notified.

• Assist in designing and implementing research-related tasks such as data collection from various sources.
• Conduct literature reviews and summarize findings.
• Assist in developing research papers, reports, and presentations.
• Maintain accurate and organized records of research data and findings.
• Attend research-related meetings.
• Collaborate with the research team to achieve project goals.
• Assume additional responsibilities as assigned by the reporting officer/HOD.
• Effectively organises meetings.
• Timely replies to ethics board, administration related requests

Qualification Required And Area Of Discipline

• Bachelor’s degree in social sciences/humanities, science, business or marketing.
• At least 1-2 years relevant experience.
• Good verbal and written communication skills
• Able to speak Mandarin to Chinese patients
• In chronic programs
• 1 year contract

Only shortlisted candidates will be notified

EnviroDynamics Solutions Pte Ltd I EA License No.: 12C6285

Anna Toh I Reg. No: R23118739

Email CV to : [email protected]

The Centre for Asian Legal Studies (CALS) at the Faculty of Law, National University of Singapore, is inviting applications from suitable candidates in the field of Asian legal studies to carry out research relevant to our programmes and objectives and to help with the work of the centre. For information about CALS, please visit http://law.nus.edu.sg/cals/.

CALS values scholarship employing a wide range of methodologies (doctrinal, empirical, theoretical, comparative, etc.) and in all fields of law relating to Asia. Subject areas of particular interest are comparative public law in Asia; aspects of law in China/Greater China; law and religion in Asia; international law in Asia; and comparisons of common and civil law jurisdictions or two or more civil law jurisdictions in Asia. Applicants with quantitative backgrounds in empirical research are also encouraged to apply.

DUTIES

• Subject to the standard NUS terms as to annual leave, appointed candidates will be expected to be in residence throughout the term of their appointments.
• An appointee will be expected to develop a research agenda related to or adjacent to one of the above themes, including undertaking substantial research projects leading to publication during the term of the appointment. Such research may include, but is not limited to, the writing of articles for publication in refereed journals, contributing to book chapters in edited collections, and preparing a monograph or other book for publication.
• An appointee will also be expected to assist in other CALS research projects and initiatives as assigned by the Centre Director.
• Appointees will be required to present their ongoing research, and to participate in and contribute to CALS events.

REQUIREMENTS

1. An ideal candidate would be of exceptional calibre, have attained a Masters degree in a relevant area of law.

For appointment as a Research Associate, the successful applicant must hold at least a Master’s degree with at least 2 years’ relevant work experience, and good knowledge, skills and expertise in Asian legal studies.

2. The principal selection criterion will be the applicant’s potential for excellence in research. Existing research work in CALS-related areas will be considered favourably. The applicant should submit a research plan proposal for consideration.

3. The candidate should be exceptionally organized and have an eye for detail. In addition to scholarship, which is a high priority for the position, there will also be administrative responsibilities related to the work of the centre. A strong command of English is required.

APPLICATION PROCEDURE

Interested applicants are invited to apply and submit their applications directly at our NUS Career Portal.

They must include:

• a cover letter explaining their interest in the position and their proposed research agenda;
• a curriculum vitae;
• a list of publications, if any;
• a writing sample;
• academic transcripts of all undergraduate and graduate studies (if studying for a current degree, please include a list of current courses);
• the names and contact details of at least two referees who may be contacted for a reference;
• a statement detailing the research plans for the next one to two years.

SUBMISSION OF APPLICATION MATERIALS

Interested applicants are invited to apply and submit their applications

CLOSING DATE

The closing date for the receipt of applications and references is 29 January 2025. Late applications cannot be considered.

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:

Research Assistant for Saw Swee Hock School of Public Health

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a full-time, experienced research assistant to model the impact and cost-effectiveness of contact-transmissible infectious diseases. This role offers the opportunity to contribute to cutting-edge research, collaborate with a team of experts, and work on other infectious disease analyses.

Job scope:
• To undertake high-quality research, including contributing to drafting major grant proposals and/or leading in drafting small grant proposals;
• To develop and extend mathematical and economic models of contact-transmissible infectious diseases.
• To support ethics applications;
• To contribute to peer-reviewed publications and other outputs, including as lead author;
• To collaborate with modellers, economists, and epidemiologists at NUS and other institutions.
• Contribute to drafting grant proposals and co-authoring publications.
• To review the latest research on contact-transmissible infectious diseases regularly.
• To disseminate research findings through presentations at international conferences and meetings with key partners (e.g., WHO).
• To contribute to the broader research community through journal and grant reviews.
• To participate in mandatory NUS training and keep abreast of advancements in research methods.

Requirements:
• Bachelor's or Master's degree in Statistics, Biostatistics, Engineering, Economics, Pharmacy, Public Health, or Computer Science.
• Experience with quantitative research, preferably related to infectious disease modelling.
• Strong analytical and data management skills using electronic medical records, clinical trials, and observational data.
• Experience with statistical software (e.g., R) and programming languages (e.g., R, C/C++, Python).
• Excellent written and verbal communication skills.
• Ability to work independently and collaboratively within a team.
• Strong organizational skills and time management.

The following knowledge and experience would be advantageous:
• Experience contributing to research grant applications.
• Experience with teaching and assessment (desirable but not essential).
• Experience with epidemiological modelling of infectious diseases (especially sexually transmitted diseases).
• Experience with data analysis using statistical inference techniques.
• Experience with health economic evaluations.
• Experience with parallel and/or high-performance computing.

The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience.

Interested applicants are invited to apply directly at our NUS career portal and submit the following documents by 15 Feb 2025:
a. Cover letter highlighting career goals and relevant experience
b. Curriculum Vitae, containing details of three named referees

For further enquiries, please contact Dr Kiesha Prem ([email protected]).

Please note that only shortlisted candidates will be contacted.

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Your role :

Can you provide comprehensive and concise investment recommendations in a clear and timely manner?
Do you take ownership and assume responsibility for tasks assigned?
We are looking for someone to join us as a Research Analyst covering stocks in Asia to :
•conduct fundamental research on stocks in line with our investment framework
•build and maintain financial models that helps in our valuation of the companies
•assess the quality of the companies covered using our proprietary assessment
•support your investment research with boots on the ground research activities where you will meet the companies, industry experts, regulators, customers and suppliers
•provide a high conviction top pick list to the EM strategy team and EM portfolio managers to be added to our client portfolios
•assume responsibility for the performance of your recommended stocks

Your team :

You will be working with the Emerging Market and Asia equities team based in Singapore
The Emerging Market and Asia equities team is responsible for the management of all actively managed Emerging Market and Asia equity strategies
Our client base is well diversified across regions, with the majority of the clients being institutional clients.
Diversity helps us grow, together. That’s why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.

Your expertise :

• ideally 5-10 years experience as an investment analyst covering Asian equities
• preferred sector domain knowledge/experience: China financials, economics and regulatory framework
• quantifiable track record or impact on portfolio
• strong quantitative and analytical skills, knowledge of financial statement analysis and modelling
• passionate about a research role, as the role will not include portfolio management responsibilities
• good written, oral and presentation skills in English
• team player

What We Do

LSEG is a leading global financial markets infrastructure and data provider that operates connected businesses to serve customers across the entire financial markets value chain.

With capabilities in data, indices and analytics, capital formation, trade execution, clearing and risk management, we operate at the heart of the world’s financial ecosystem and enable the sustainable growth and stability of our customers and their communities.

Together, our five business divisions – Data and Analytics, FTSE Russell, Risk Intelligence, Capital Markets and Post Trade – offer customers seamless access to global financial markets, across the trading lifecycle.

LSEG is headquartered in London and has a major presence throughout Europe, the Americas, Asia Pacific and emerging markets.

Working in the World Check Risk Screening product, the Lead Research Analyst is required to maintain accurate information currency to support the growth of LSEG's Content business across the region.

Role summary

As a Lead Research Analyst, you will conduct in-depth research on breaking news in mainland China, Hong Kong and Taiwan, regarding specific Anti-Money Laundering/Combating the Financing of Terrorism (AML/CFT) related issues. We focus on maintaining an extensive list of Politically exposed persons (PEP), State owned & invested enterprises (SOE/SIE), Sanctions ownership information, etc.

Daily, you will research and extract data from extensive sources from public domain, ensure accuracy and quality of findings by aligning with policies and applicable laws.

What you'll be doing:

• Strong analysing, capturing the right intelligent information and summarizing in a timely and accurate manner.
• Strong adherence research guidelines following strict requirements to ensure product content and quality.
• Provide content support to clients on daily basis and work closely with team members, client and country researcher across offices to support related ad-hoc projects.
• Work independently in handling individual and team assignment and tasks.

Role requirements:

• Native or full professional language proficiency in Chinese as well as English.
• Good English comprehension and writing skills.
• Preferably at least 2 years' related work experience in research and compliance.
• Strong analytical skills especially with excellent attention to details and critical thinking to analyse and resolve research related issues.
• Strong organization and interpersonal skills.
• Enjoy reading news, following current events as well as good knowledge on official and credible media sources.
• Good domain knowledge of local naming conventions including characteristics of personal names, salutations and titles.
• Passionate about research work and knowledge pertaining to mainland China, Hong Kong and Taiwan, political structure and governance at all levels, sanctions, law enforcement and regulatory enforcement bodies and relevant national laws concerning the AML/CFT regime is an advantage.
• Good understanding of the prevalent financial crimes in mainland China, Hong Kong and Taiwan, based on guidance and reports from the Financial Action Task Force (FATF), the Asia/Pacific Group on Money Laundering (APG), and other relevant sources.
• Exhibit excellent professionalism - self-motivated, can-do attitude, innovative thinking, strive for efficiency.
• Leading, managing and prioritizing multiple tasks and activities simultaneously in meeting tight datelines and work effectively

Education Qualification/Certifications

• Bachelor’s degree or equivalent experience preferred in International Relations, Political Science, Security Studies, History, Journalism, Linguistics/Languages, or other Humanities fields. Outstanding graduates in other fields or those with validated experience will be considered.
• AML related certifications will be prioritised, if equally qualified.

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) invites applications for the position of Research Scientist.

Key Responsibilties:

• Designing and conducting research projects focused on Computer Vision.
• Developing and fine-tuning advanced AI models to analyze complex visual data from various sources.
• Utilizing Large Language Models and advanced deep learning techniques to enhance image and video analysis capabilities across multiple applications.

Job Requirements:

• PhD in Computer Science or a related field, with specific expertise in computer vision and artificial intelligence.
• Proven experience in high-level research, including publications in top-tier journals and conferences.
• Familiarity with self-supervised and unsupervised learning techniques and their applications in solving complex visual recognition tasks.
• Good teamwork and collaboration skills

We regret that only shortlisted candidates will be notified.

Our client is seeking a skilled and motivated Quantitative Research Executive to join our research team. The role involves managing and executing research projects tailored to client needs, from initial planning to final delivery. The ideal candidate will possess strong analytical skills, excellent communication abilities, and confidence in engaging with diverse stakeholders.

Key Responsibilities
Your role will involve the following key tasks:

• Collaborate with clients to design and plan research projects based on their objectives and requirements.
• Script questionnaires and ensure accurate questionnaire logic for seamless data collection.
• Define and manage sampling plans to meet project objectives.
• Oversee the distribution of surveys to targeted online respondents, ensuring sample quality and response rates.
• Monitor quantitative fieldwork, ensuring adherence to timelines and project schedules.
• Code open-ended text responses when necessary.
• Prepare SPSS reports for client use and ensure data integrity.
• Analyze and interpret collected data to extract meaningful insights.
• Create impactful, actionable reports and presentations in PowerPoint.
• Present findings and insights to clients in a clear and professional manner.
• Address complex client queries and resolve issues effectively.
• Conduct additional research tasks, such as reviewing survey links, validating quantitative data tables, and preparing tabulation specifications.
• Manage administrative tasks, including client and vendor contract management and payment processing.
• Contribute to special projects and team initiatives as needed.

Qualifications and Requirements

• Strong skills in quantitative analysis, data tabulation, and interpretation.
• Excellent organizational skills and the ability to manage multiple tasks simultaneously.
• Team-oriented yet capable of working independently when required.
• Strong written and verbal communication skills.
• Meticulous attention to detail and a commitment to accuracy.
• Proficiency in Microsoft Office, particularly PowerPoint and Excel, with intermediate to advanced expertise.

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV or email to [email protected]

CEI Registration Number: R1985071

EA License Number: 21C0661

Company Registration Number: 201127615M

The School of Chemistry, Chemical Engineeri​ng and Biotechnology (CCEB) invites applications for the position of Research Fellow.

The Research Fellow will take on a significant role on developing and applying cutting-edge biotechnologies, including high throughput next-generation sequencing (NGS), CRISPR-Cas, and deep learning methodologies to read, write, and decipher the genome and transcriptome of living cells. The research fellow will be involved in efforts to develop and/or apply new tools and methodologies to push the boundaries of genomics and synthetic biology.

Key Responsibilities:

• Develop and/or apply cutting-edge genome and transcriptome engineering technologies
• Perform functional genomics assays and other wet-lab experiments
• Write and publish high-impact research papers
• Guide graduate and undergraduate students

Job Requirements:

• PhD degree in biological sciences, bioengineering, biotechnology, or related fields
• Strong research experience in genomics, genetics, computational biology, or related disciplines
• Outstanding publication track record, preferably with first-author papers in high-impact journals
• Proficiency in genomic technologies, including CRISPR, NGS, and bioinformatics
• Ability to work collaboratively within a team

To apply, please submit a CV, a brief statement of research interests, and contact information for at least two references to [email protected].

We regret to inform that only shortlisted candidates will be notified.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

The candidate will work in Prof Ong’s Research Group, where cutting-edge research is carried out on a wide range of topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI, and AI Safety.

Key Responsibilities:

• Manage own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines.
• Carry out original research, including adapting existing and developing new mathematical models, scientific techniques and experimental protocols, and building software tools and carrying out empirical studies where appropriate.
• Write, publish and disseminate results, including give research presentations at meetings.
• Contribute and develop ideas for new research projects and for generating research income, and present detailed research proposals to senior researchers
• Act as a source of information and advice to other members of the group on scientific protocols and experimental techniques.
• Represent the research group at external meetings / seminars, either with other members of the group or alone.
• Assist the PI in mentoring, supervising and coordinating the activities of junior researchers and students of the research project.
• Assist the PI in research collaboration and coordinating activities with project partners and collaborators from other institutions.
• Work with industry and government partners to understand their research needs and formulate solutions.
• Contribute to outreach, communications and reporting as required to funders and stakeholders. Represent the research group at external meetings/seminars, either with other members of the group or alone.
• Help organise and actively participate in regular meetings and seminars within the group.
• Assist in raising research funds through grant applications.
• The postholder may have the opportunity to teach. This may include lecturing, small-group teaching, and tutoring of undergraduates and graduate students.

Job Requirements:

Essential Criteria

• Candidates must have a PhD (or be near completion) in Computer Science or Mathematics or Statistics with a strong background in one or more of the following: AI, machine learning, Bayesian statistics, programming languages, logic and algorithms, formal methods, probability and measure theory
• For senior research fellow role, candidates must hold a relevant PhD with significant track record of research excellence and substantial research leadership experience
• Strong publication record and familiarity with the existing literature and research in the field of statistical machine learning, and deep learning or large language models.
• Possess sufficient specialist knowledge, research skills and interests in statistical machine learning, and deep learning or large language models to work within established research programmes and contribute ideas and solutions.
• Ability to independently plan and manage a research project, including a research budget.
• Possess strong collaboration abilities in person, on paper and over electronic channels.
• Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.

Desirable Criteria

• Experience of supervising staff.
• Experience of managing a research budget.
• Ability to raise research funds through making grant applications.

We regret that only shortlisted candidates will be notified.

Job Description:

· Study recruitment and coordinate other research related activities such as study monitoring, maintaining participant logs

· Organise and coordinate workflow of studies and assist with subject informed consent process

· Prepare study applications, reports and documentations

· Requirements

· Pre-study preparatory activities

Job Requirement

· Bachelor's degree in Sciences, Public Health or equivalent

· Internship experience is valued

· Relevant training will be provided when necessary

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

About Chicago Global Capital

Chicago Global is a data-driven investment management firm, which run timeless investment strategies powered by advanced technology.

Our investment philosophy is deeply rooted in the University of Chicago’s heritage in finance and economics, where much of the foundational work in these fields was conducted.

By benefitting from advances in machine learning to embrace the speed and complexity of financial information, we can harness and distil market-moving data into investment intelligence.

We engineer portfolios that learn and adapt faster than humans using supermassive datasets that are distilled into a set of well-documented strategies, relying on inference to detect phase changes and inflection points in every corner of the world.

The Role

As the Investment Research Analyst you will work closely with the CG investment team, uncovering investment opportunities using the tools provided within our framework, with a focus on Equities & Derivatives across global markets.

Key Responsibilities:

Execution & Trading:

• Execute day-to-day trading activities for the company's investment funds, ensuring seamless interaction with Prime Brokers and Fund Administrators.
• Monitor market conditions and execute trades in accordance with established trading strategies and risk parameters.

Strategy Development & Implementation:

• Test, implement, and scale new and existing quantitative investment strategies across various asset classes and portfolios.

Financial Modeling & Analysis:

• Establish and maintain robust financial models to assess portfolio risk, evaluate investment performance, and conduct scenario analysis.
• Analyze financial data, identify market trends, and generate actionable insights to inform investment decisions.

Research & Development:

• Conduct in-depth research on cutting-edge quantitative finance research published in academic and industry journals.
• Stay abreast of the latest advancements in quantitative trading techniques, machine learning, and artificial intelligence.
• Assist in the preparation of monthly research reports and develop concise research digests for internal dissemination.

Performance Monitoring & Reporting:

• Calculate and update performance reports for investment funds and portfolios, including key performance indicators (KPIs) and risk metrics.
• Prepare insightful presentations and reports to communicate investment performance and risk to senior management.

Regulatory & Compliance:

• Assist with the preparation and submission of regulatory filings and compliance reports.

Business Operations:

• Assist with day-to-day business operations as may be necessary.

Qualifications:

· Master’s degree

· Experience 5 to 8 years

The Wee Kim Wee School of Communication and Information (WKWSCI), together with the Earth Observatory of Singapore, is looking for a Research Assistant to make an important contribution to the research project: “Climate Transformation Program (CTP): Cross Cutting Theme 1 – Sustainable Societies” funded by the MOE Tier 3C Grant. CTP aims to develop, inspire, and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary for resilient, just, and sustainable Southeast Asian societies.

CTP will generate knowledge and innovation across disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences and the arts, finance, health, and engineering. It will also translate state-of-the-art scientific results into real world solutions for Singapore, and it will transfer these solutions to Southeast Asia (SEA) and beyond.

As part of this programme, “Cross-cutting theme 1: Sustainable Societies”, this theme will leverage climate research in communication and virtual reality tools to shape public attitudes and behaviours towards climate change issues. The Research Assistant will work directly with the PI of the Sustainable Societies theme, Professor Shirley Ho, based in the Wee Kim Wee School of Communication and Information at NTU.

Key Responsibilities:

• Engage in conducting literature searches and manuscript preparation.
• Engage in VR app development and implementation.
• Engage in experiment conceptualization, design, and implementation.
• Conduct statistical analyses with experimental data.
• Contribute to research publications and presentations.
• Write progress report and final research report.
• Engage in the dissemination of the results of the research with the support of and under the supervision of the Principal Investigator.
• Carry out administrative work associated with the program of research as necessary.

Job Requirements:

• Bachelor’s degree in communication, psychology, sociology, or a social science related discipline.
• Strong foundation in VR app development, experimental research and analytical skills (e.g., SPSS, MPLUS, or R).
• Team player in a project setting, also with ability to work independently in a multi-cultural team environment.
• Must demonstrate initiative and good interpersonal communication skills.
• Prior experience in VR app development and experimental research.
• Internationally recognized research track record as evidenced by journal publications and conference presentations.

Interested applicants are invited to submit a cover letter, full CV and names and contact details of three referees in one document.

We regret to inform that only shortlisted candidates will be notified.

Research Assistant/Project Officer position is available immediately. The successful applicant will join an expanding team to work on projects in the field of Psychosocial support for familial caregivers. The applicant will be working in the research lab “Action Research for Community Health (ARCH)”, and the primary study involves an intervention study that develops and test the efficacy of a novel culinary programme to support familial caregivers of individuals with cancer. The successful candidate is expected to work closely with professionals in the field of medicine, cancer care, nutrition, as well as with clinical population groups.

Research Assistant/Project Officer is expected to plan, organize and implement research projects, in collaboration with principal investigators. The specific roles include project coordination, liaison with community collaborators, literature review, supporting data collection and research implementation, data transcription and data analysis, compile findings and drafting of research reports, as well as co-author academic journal publications with project principal investigators.

Key Responsibilities:

Coordination and Implementation

• Coordinate programme logistics, including scheduling coaching sessions, ensuring smooth and efficient operations, acting as key liaison with institutional and external collaborators
• Facilitate the recruitment and enrollment of eligible caregivers into the programme
• Provide ongoing support and information to program participants
• Coordinate equipment and access to facilities among researchers within the lab

Documentation and Reporting

• Maintain accurate and detailed records of programme activities and progress towards program goals
• Prepare regular progress reports and presentations for stakeholders and funding partners
• Ad-hoc research project administrative support

Monitoring and Evaluation

• Implement data collection to assess the impact and effectiveness of the program on participants' psychosocial well-being and overall quality of life
• Organize, manage and analyze collected data
• Engage in data transcription
• Contribute to the writing of research reports, inclusive of literature review and journal publications

Job Requirements:

• Possesses a Bachelor’s Degree in psychology, counselling, social work, health science or related fields from a reputable university
• Must be fluent in Spoken and Written English - essential for data analysis and communication with stakeholders
• Demonstrate excellent inter-personal communication skills
• Keen interest in quantitative, qualitative, and mixed methods research
• Competent in MS Office, NVivo, SPSS and Qualtrics
• A team player with the ability to work independently in a multi-cultural environment
• One-Year contact with the possibility of additional 6 months renewal

We regret to inform 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

This project aims at studying various threats in software defined networks (SDN) and developing security solutions for detecting anomalies and mitigation.

The Research Assistant (RA) will be responsible to assist in developing techniques such as AI/machine learning/deep learning , to model the normal behaviours and detect anomalies in SDN.

The work involves experimentation with a testbed and proof-of-concept demonstrations for use-cases. The work and findings will lead to top-tier publications, invention disclosures and proof-of-concept demonstrations.

Job Requirements

• A Masters or Bachelors degree in Computer Engineering/Electrical Engineering/Computer Science and related disciplines, with knowledge and experience in areas - network security, software defined networking, AI/machine learning/deep learning.
• Interests and skill in research and development.
• Software skill for testbed Experimentation and proof-of-concept demonstrations.
• Open to Fixed Term Contract.

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

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 Singapore Nuclear Research and Safety Initiative (SNRSI), a university-level research institute at NUS established in 2014, is committed to excellence in nuclear safety research. Within SNRSI, the Radionuclide Dispersion and Dose Assessment team specialises in modelling the migration and impact of radioactive pollutants through various pathways in Singapore and the surrounding region. The team is dedicated to advancing the academic community while tackling real-world challenges faced by government agencies and stakeholders.

With several positions open for Research Assistant/Research Associate, we welcome motivated candidates to join us – an excellent opportunity to collaborate with colleagues from world-leading universities and develop essential skills in the exciting world of modelling and cutting-edge technologies, including data analysis and visualisation, machine learning, computational methods, and more. If offered the position, you will participate in the following projects, based on your background and strengths.

• Radionuclide dispersion modelling

The migration of radionuclides, in the air or water bodies (both surface and underground) will be modelled using either community dispersion models or in-house-developed codes. The aim is to enhance our understanding of how radionuclides are transported and dispersed in the environment, providing a robust foundation for further impact or consequence assessment.

• Radiological impact and dose assessment

Mathematical models or empirical approaches are employed or developed to quantitatively analyse radionuclide pathways. The radiation exposure doses, potential contamination of food or water sources are subsequently estimated. The goal is to provide reliable and practical references for emergency planning or mitigation measure implementation.

Qualifications

• A degree or higher qualification in a relevant field, such as physics, mathematics, environmental sciences, and computer science, etc.
• A strong understanding of fundamental physics, mathematics, and statistics.
• Proficient in Python programming. Having experience in other coding languages, such as C/C++, Fortran, MATLAB, or Linux shell scripting, is a plus.
• Experience with modelling using tools/models such as FLUENT/OpenFOAM, Deflt3D, ROMS, WRF, HYSPLIT, or RODOS is considered an advantage.

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

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

An exciting opportunity has arisen for a highly motivated Senior/Research Fellow to join the Centre for Holistic Initiatives (CHILD) for Learning and Development, Yong Loo Lin School of Medicine, National University of Singapore. CHILD brings together experts in the field of translational research, child health and development, and implementation science to accelerate the use of evidence in policy and practice and give every child the best start in life.

The successful candidate will support the Centre by i) conducting research projects aligned to the Centre’s strategy and key priorities, ii) preparing reports, publications and materials for funding bids, iii) providing supervision and mentorship to junior researchers, particularly in the area of mixed methods research, and iv) facilitating workshops and engagement activities.

Job Responsibilities

The successful candidate will:

• Work closely with the team leads, cross-disciplinary research teams and collaborators.
• Design, plan, undertake and deliver research and evaluation projects using a combination of methods – with a focus on mixed methods studies and related designs.
• Provide expert methodological advice in mixed methods to Centre staff and related inputs across Centre projects.
• Lead on writing for reports, peer-reviewed publications and grant proposals for a variety of audiences.
• Contribute and lead, where appropriate, research dissemination activities at internal and external meetings and conferences.
• Provide supervision and mentorship of research students, interns and research assistants, where required.
• Work closely with stakeholders from across the early childhood sector.

Qualifications

Qualifications: A PhD in Psychology/Behavioral Science/Developmental Psychology/Education/Public Health or a related discipline.

Experience: Candidates with experience in the following areas are encouraged to apply:

• Mixed methods applied research
• Implementation Science
• Behavioural or Social Sciences applied to child health/development
• Programme Evaluation
• Education/Health Services or Applied Research

Additional Requirements

The candidate should also possess:

• Experience in undertaking or leading independent research studies, as appropriate for career stage.
• A strong grounding in mixed methods and applied educational, behavioural or health research – broadly defined.
• Track record of publishing in peer-reviewed journals and presentations in international or national scientific conferences, commensurate with career stage.
• Excellent command of spoken and written English.
• A team player with an ability to work independently.
• Highly motivated, proactive, and goal-oriented
• Keen interest in the area of early child development and passion for research translation and communication will be advantageous.

Application

Please submit your application, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to the NUS Career Portal.

The appointment title and salary grade will be commensurate with the candidates’ qualifications and experience. Interested applicants are invited to submit a cover letter and full CV via the NUS careers portal. Applicants can email [email protected] with any questions. Only shortlisted candidates will be contacted.

What Being Successful in the Role Looks Like: The successful candidate will work closely, collaboratively and competently as part of an interdisciplinary team within CHILD. They will have excellent writing, presentation, and project management skills. They can perform data analysis/data visualization and willingly learns from others and shares knowledge with others. He or she fits into, supports, and builds up CHILD’s open and positive work culture.

About Us

About CHILD: The Centre for Holistic Initiatives for Learning and Development or CHILD was established under the umbrella of the NUS Yong Loo Lin School of Medicine (NUS Medicine) with the Lien Foundation. In collaboration with partners - the Centre for Evidence and Implementation (CEI) and A*STAR’s Singapore Institute for Clinical Sciences (SICS), CHILD brings together experts in the field of translational research, child development, and implementation science to help give children the best start to life.

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.

We are seeking a dedicated and motivated Research Assistant to join our team for a radiography-focused project aimed at establishing Diagnostic Reference Levels (DRLs) for Digital Mammography in Singapore. This initiative is crucial for enhancing patient safety and aligning with international radiation protection standards. The ideal candidate should have experience in academic research, including handling administrative tasks, and be eager to contribute to the advancement of radiographic practices in clinical settings.

Key Responsibilities:

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:Preparing and submitting ethics approval applications
  Coordinating and scheduling meetings and research activities
  Requesting information and maintaining detailed research log files and documentation
  
  1. Collaborate and communicate with participating healthcare institutions, research team members, and other relevant professionals.
  2. Assist in the development and refinement of research materials, ensuring they meet project objectives.
  3. Support data-related tasks, including data collection at participating healthcare institutions, data processing, entry, and analysis.
  4. Maintain accurate and organised records of data, ensuring confidentiality and compliance with ethical standards.
  5. Manage administrative tasks related to the research projects, such as:
  6. Conduct comprehensive literature reviews to support the research objectives.
  7. Assist in preparation of research reports, findings and presentations.
  8. Organise and attend project meetings, monitor the project budget, and contribute to other projects and initiatives as needed.
  9. Prepare and write manuscripts for publications with the research team
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements:

• Have relevant competence in Microsoft applications, including Word, Excel, and PowerPoint.
• Have a Bachelor’s degree or higher in a relevant discipline (e.g., Diagnostic Radiography, Health Science, Nursing, Biomedical Science, Public Health, Allied Health, etc).
• Knowledge of research-related software such as Endnote, Mendeley, STATA, or SPSS is advantageous.
• Basic skills in data analysis will be a strong asset.

Key Competencies

• Ability to build and sustain effective working relationships with people within and external to the university.
• Strong communication, interpersonal and people management skills.
• Strong organisational skills and a collaborative team player.
• Passionate about research, resourceful and confident in handling challenges.
• Approachable and friendly demeanour.
• Self-motivated and committed to continuous learning and development.
• Proficient in technical writing and presentation.
• Strong analytical and critical thinking abilities.

Major Challenges:

• Coordinating with multiple stakeholders across healthcare institutions and research teams to ensure smooth communication and collaboration.
• Managing sensitive data while maintaining accuracy, confidentiality, and adherence to ethical standards.
• Balancing diverse tasks, including administrative duties, data analysis, and preparation of research materials, within tight project timelines.
• Adapting to dynamic work environments and addressing unforeseen challenges in project execution.

Duration: 1 year contract

Location: Caldecott

Responsibilities

To assist in research work. Job duties include (not limited to):

• Conduct literature review
• Collect data and manage database
• Analyze data and report findings
• Provide administrative support

Requirements

• Bachelor’s degree in Psychology/ related social science discipline
• Experience in quantitative research (e.g., thesis using quantitative methods)
• Knowledge in R or Python is a plus
• Knowledge in Tableau or Power BI is a plus
• Strong analytical and critical thinking skills
• Good communication and interpersonal skills
• Attention to detail and strong organizational skills

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

https://sg.go.persolkelly.com/job/apply/10899

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Handshakes is an award-winning DataTech company. We enable our clients to make safer, more informed decisions by delivering meaningful insights, harnessed from reliable data. Through our products, clients gain greater clarity on their businesses, clients, partners, and competitors.

We are looking for an Artificial Intelligence Research Associate (AI Research Associate) who is passionate about artificial intelligence and data science. The AI Research Associate will be involved in data science and deep learning and AI-related research to help generate additional value from the data sets that we use with our products. The AI Research Associate will be contributing to the assessment, research and evaluation of potential data science solutions for use cases unique to our product vision.

Our areas of focus include Deep Learning, Natural Language Processing, Text Classification and so on.

As an Artificial Intelligence Research Associate (AI Research Associate), you would have:

• Completed degree or Masters or PhD in Math, Science, Engineering, Computer Science, Statistics or any quantitative fields
• Knowledge and practice of machine learning and data science theories, techniques and tools
• Programming capabilities with one or more languages such as Python, Java, C++ or C#
• Excellent analytical, quantitative and problem-solving skills with demonstrable experience in research

We are not engaging with recruitment agencies. If interested, apply here or send your profile or inquiries directly to [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

We are seeking a highly motivated Research Engineer to join our team, specializing in the hands-on experimentation and characterization of materials. The successful candidate will work closely with the research team to conduct materials characterization, perform electrochemical testing, and contribute to the development of innovative solutions for lithium battery recycling. This role requires a candidate with hands-on experience in material science techniques and electrochemical methods.
Key Responsibilities:

1. Perform experiments and characterization of materials using analytical techniques such as ICP, XRD, and FTIR.
2. Conduct electrochemical analysis, including cyclic voltammetry, LSV and other related techniques.
3. Prepare samples for testing and ensure proper calibration and maintenance of equipment.
4. Analyze and interpret experimental data, providing clear and concise reports to the research team.
5. Collaborate with cross-functional teams to ensure experimental objectives are achieved.
6. Maintain accurate records of experiments and uphold laboratory safety protocols.
7. Assist in troubleshooting and optimizing experimental procedures as needed.
8. Assist in lab procurement activities.

Qualifications

1. Bachelor’s or Master’s degree in Materials Science and Engineering, Chemical Engineering, or a related field.
2. Hands-on experience with material characterization techniques such as ICP, XRD, SEM and FTIR.
3. Proficiency in electrochemical methods is highly preferred.
4. Strong analytical and problem-solving skills with attention to detail.
5. Effective communication skills, both written and verbal, to document and present findings.
6. Ability to work independently as well as collaboratively within a team.
7. Knowledge of laboratory safety protocols and best practices.
8. Experience in data analysis and interpretation software (e.g., Origin).
9. Familiarity with additional characterization techniques is an added advantage.
10. Prior experience in an R&D or industrial laboratory setting.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Assistant.

Key Responsibilities:

The successful applicant will be responsible for the development of

• Performing literature review and background study on collaborative AI
• Apply knowledge on foundation models to optimize training and inference processes
• Conduct experiments to compare with comprehensive baselines and validate results

Job Requirements:

• Preferably Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Independent, highly analytical, proactive and a team player
• Excellent teamwork and verbal, written communication skills
• In-depth knowledge relevant to the project domain.
• Demonstrated capability to conduct innovative research.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Demonstrated ability to formulate hypothesis and design effective experimental plans.
• Ability to design and implement new experimental methods.
• High-level expertise in the required experiment or modelling methods.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.
• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.