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

NTU Facility for Analysis, Characterisation, Testing and Simulation (FACTS) invites applications for the position of Research Fellow/Senior Research Fellow.

Key Responsibilities

• Responsible for running the Small/Wide Angle X-ray Scattering (SAXS/WAXS) facility and the thin film XRD. The role mainly covers instrument management, user support in terms of training, and consultation, to enable a broad user base to use the machines efficiently and safely.
• Conduct maintenance on the above machines, liaising with vendor engineers and trouble-shooting regular problems and issues.
• Conduct data analysis related to SAXS/WAXS and thin film XRD experiments.
• Deliver courses on SAXS/WAXS and thin film XRD covering introductory and topical or advanced courses that are relevant for facility users.
• Organise workshops and conferences to provide support for users, in collaboration with external vendors and other organisations.
• Provide consultancy for various ongoing university projects on related subjects on SAXS/WAXS and thin film techniques. Write up experimental reports and paper sections in accordance to the work done.
• Fulfil any other assigned duties as needed.

Job Requirements

• PhD in Materials Science, Physics, or a related field.
• Proficient in conducting SAXS/WAXS analysis in transmission and in grazing incidence (GISAXS/GIWAXS). Additional experience related to thin film XRD analysis such as X-ray reflectivity (XRR), crystal orientation mapping and high resolution XRD, are highly beneficial.
• Experience doing in-situ measurements, including but not limited to heating/cooling will be a plus.
• Strong communication and organizational skills are essential.
• Excellent command of written and verbal English.
• Capable of working collaboratively in a team as well as independently

We regret that only shortlisted candidates will be notified.

The Centre for Population Health Research and Implementation (CPHRI) is a centralised platform for population health research, innovation, implementation and evaluation activities in SingHealth. CPHRI aims to seamlessly leverage data and technology to guide and support population health initiatives and accelerate the implementation of research findings in care delivery and improvement.

You will support the work of the Population-based, Unified, Learning System for Enhanced and Sustainable Health (PULSES) Centre Grant as well as other signature research programmes in the centre. You will assist the Principal Investigators in developing grant proposals and study plans. You will conduct literature reviews and systematic reviews as well as assist with study design and planning. You are required to perform data analysis and ensure the accuracy in the data interpreted.

You will be involved in the preparation of abstracts/posters/manuscripts/reports. You will oversee the process and quality of the study execution and keep track of timelines and budget. You will also lead a team of junior research staff and provide technical supervision.

Requirements

• PhD degree in Social Science, Biostatistics, Public Health, Epidemiology, Health Economics or related academic area with at least 3 years’ experience in population health research
• Experience in health economics or implementation science will be an advantage
• Track record of publications in peer-reviewed journals
• Strong quantitative or qualitative research skills
• Proficient with advanced data analytics software (eg. SPSS, STATA, SAS) or qualitative analysis software (eg. Nvivo)
• Excellent written and verbal communication skills
• Highly motivated, independent and able to work in a dynamic environment
• Ability to work independently and in a team

Work arrangements

• This role offers hybrid work arrangements, providing the flexibility of working remotely and in the office

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

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.

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.

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 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.

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

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 Responsibilities* You will be responsible for the following:

1. Organize existing relevant speech datasets as well as newly collected speech datasets 2. Write python scripts for data loading, training speech recognition models and inference

3. Develop a web interface for real-time access of the trained model

4. Participate in testing and validation of developed technologies in clinical settings to ensure efficacy and safety

5. Contribute to writing scientific papers, report and grant proposals.

6. Support project team in daily administrative tasks and project management and project management activities.

Requirements

1. Open to Fresh graduate Contract till 30 Sep 2025, extension pending MOH's approval. Bachelor or Master’s degree in Computer Science or related field Proficient in neural networks frameworks such as pytorch
2. Preferably experienced in automatic speech recognition topics Speech or Audio research experience, with publication submissions for relevant conferences such as ICASSP or Interspeech.
3. Good verbal and written communication skills
4. Ability to work collaboratively in a multidisciplinary team environment
5. Prior exposure to or interest in healthcare and clinical applications is highly desirables.

Applicants who possess relevant experience for the above responsibilities are most welcome to apply. If you do not possess the above experience, your application will still be considered on individual merits and you may be contacted for other opportunities.

Please submit your updated resume in MS Words format by using the APPLY NOW BUTTON,

By submitting your personal data and/or resume, you give consent to collection, use and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

**We regret to inform that only shortlisted candidates would be notified.

Linda LIM
Registration Number: R1221302
EA Licence No: 06C2859 (MCI Career Services Pte Ltd)

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

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.

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.

Responsibilities

• Designing surveys – Ensure the operational feasibility and research validity of questionnaires.
• Executing surveys – Assisting or managing a team of interviewers / surveyors, allocating quotas and controlling output per interviewer. This includes conducting surveyor briefings, in-depth interviews (IDI) and Focus Group Discussions (FGDs).
• Quality control – entails recalling, editing, coding and processing of questionnaires.
• Analysis & report writing – Use of SPSS for data analysis, report writing, presentation deck making and dashboard design
• Project coordination – Coordinating between teams and with clients to keep a project on time and in compliance with quality standards. Candidates with strong multi-tasking abilities preferred to ensure multiple projects at different stages can be run simultaneously to meet deadlines.

Qualifications

• An undergraduate degree in Social Sciences (e.g., Psychology, Sociology) of Business (e.g., Consumer Research) is strongly preferred. Candidates who have undertaken research modules would be at an advantage (e.g. Sampling methods / Qualitative research methods / Quantitative research methods).
• Confident individuals with the ability to communicate / speak / write well.
• Individuals with excellent CCA records demonstrating leadership experience/management are preferred.
• Team players who are able to work within and across departments are preferred.
• Exposure to research fieldwork (i.e. internships / school modules / part-time work / survey jobs) is a plus.

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

IC Designer, designing high frequency circuits targeting for transceiver applications, employing CMOS technology. The candidate needs to come up with novel architecture with speed, power, and area advantage compared to existing architecture.

The job also includes circuit design, pre and post-layout simulation, mask layout and PCB testing.

Qualifications

• Bachelor or Master degree in Electrical Engineering.
• Experience in EDA tools usage, including Cadence, Spectre, EMX, Synopsys, as well as Matlab.
• Some knowledge on communication system, such as BER, eye diagram, modulation/demodulation, pre-emphasis and etc.
• Open to Fixed Term Contract.

Continental-NTU Corporate Laboratory invites applications for the position of Research Associate.

Key Responsibilities:

• Conducting the research in AI domains (e.g., reinforcement learning and image recognition), software testing, program synthesis
• Applying the developed research ideas and approaches to improve the software engineering process in Continental, especially software testing (automatic test case/plan generation)
• Conducting the research in combining AI techniques with formal methods techniques (especially program synthesis) to improve the explainability and robustness of AI models
• Participating in co-operation with Continental’s development team
• Interacting with Continental business units
• Developing and integrating AI algorithms into the real development progress
• Preparing academic publications such as pattern, research paper
• Contributing to seasonal and annual report writing and presenting

Job Requirements:

• Master degree in Artificial Intelligence, Computer Science, Software Engineering
• Strong background and research experience in artificial intelligence, software engineering, automatic testing, program synthesis
• Excellent background and experience in programming language, especially python
• Good communication and report-writing skills
• Strong responsibility for research and work

We regret that only shortlisted candidates will be notified.

Who We Are

As Singapore's first institute for lifelong learning, the Singapore University of Social Sciences (SUSS) champions inclusivity to bring education to all and ensure that they are given equal opportunities to develop to their fullest potential in our diverse learning environment.

We advocate for the same for our people. We believe everyone should have equal opportunities and develop to their fullest potential in their careers.

Embark on an exciting lifelong journey with us in making a positive difference in your career and serving our society.

For more information on Singapore University of Social Sciences, please visit www.suss.edu.sg

What You Will Be Doing

Job Responsibilities

• Work closely with CESG leadership and project leads to drive CESG's evidence-based projects from development and implementation to reporting and communication phases.
• Manage CESG's research and evidence-based projects, including project administration, research design, literature review, data collection and analysis, documentation, reporting, and post-project engagement
• Develop, support and/or co-lead new projects relating to CESG's strategic priorities
• Plan and coordinate community outreach and advocacy activities
• Provide cross-functional support in CESG and SUSS activities

Job Requirements

• At least 3-5 years' work experience
• Graduate degree with strong people, administrative and logistics skills
• Prior experience in social science research and/or evidence-informed community-based projects
• Good research and analytical skills, with field experience and familiarity with methodological approaches and data analysis
• Able to effectively manage multiple projects, tasks and deadlines - prior experience in project and resource management
• Able to work collaboratively in a team to achieve desired programme results
• Excellent written and spoken communication skills suited to different audiences
• Takes initiative and good at problem-solving
• Meticulous and responsible, especially in producing high-quality work
• Prior experience in event planning and communications is an advantage

Apply now

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

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.

To be trusted with work with the Ipsos brand for the good of the business

To lead project teams in the design, set-up and management of leading-edge research and,

To carry out account management activities – managing existing client relationships, including seeking repeat business, and actively seeking major and new client opportunities and management.

• Responsible for the actions and activities of the team (with business area Director)
• Recruitment of junior staff
• Profit and loss+ responsibility for projects that one is managing and business area
• New business generation and existing client development plans (with business area Director)
• Problem resolution and ownership of results
• Directorscomplex projects and higher-value work, displaying well-developed research skills, knowledge and thought
• Generate meaningful insights from research data to add real value to the client
• Use advanced research techniques and apply them appropriately
• Demonstrate Company awareness through internal support, cross-selling and marketing and take a corporate view with new business opportunities and the relationships with existing clients (client-facing stream)
• Be an ambassador and guardian of the brand for Ipsos, displaying the appropriate knowledge and behaviors
• Significantly contribute to the strategic direction of the business area, implement agreed plans and actively support the Division and Company
• Make significant contribution to our work area(s) in terms of business generation/profit
• Challenge and mentor junior staff in research skills and their career development
• Recruit key skills and ensure operational efficiency of Department is maintained at all times.
• Conduct performance reviews and design staff development plans for the team (with business area Director). Carry out appropriate performance management activities
• Deliver required team financial performance (with business area Director)
• Keep abreast of current trends within market research and competitors, in order todevelop personal skills / knowledge base and transfer knowledge, skills and expertise through training and coaching
• Keenness to learn and proactive self-development and development of others.
• Maximize opportunities for client contact and take a lead role; measure to be set through review process (relationship building and seeking repeat and new business wins, ideally including a min of two targeted account face-to-face meetings/year)

Manage the team to:

• Handle a number ofdifferent projects at once, ensuring time, budget and profitability requirements are met
• Produce outputs and research that are of high quality and consistent with agreed outputs
• Produce proposals that meet and where possible exceed the brief requirements
• Ensure all questionnaire facilitate strong data collection capability
• Provide accurate analysis and interpretation of data
• Liaise professional and effectively with the Operation departments to ensure we deliver what we say we will.

COMPETENCIES

• Self-Management
• Communication
• Collaboration
• Client Focus
• Knowledge & Expertise
• Flexibility

BACKGROUND

Experience:

• At least eight years of strong Market Research Experience and good application of knowledge
• Solid experience in questionnaire design, table specifications and project management
• Understand and use statistical analysis
• Selling of research projects and capabilities
• Ideally, experienced in relevant category or sectors

Skills/Knowledge:

• Good communication skills, written and oral
• Sound problem-solving skills
• Able to work under pressure and meet aggressive deadlines
• Exceptional time management skills
• Good data preparation skills
• Good client service skills
• Able to build strong links with the rest of the business
• Proactive / Self-motivated
• Able to work effectively in a team and independently

Qualifications:

• Degree in related studies

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.