Total 145 research nurse job vacancies in Education / Training category in D06 Beach Road, High Street

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].

Job Responsibilities:

• Manage research data and keep up-to-date research records, be able to perform data analyses and critically interpret generated data, and summarise research findings
• Search and sort out literature and database, identify key findings of previous research, and be able to paraphrase and consolidate key concepts of literature
• Conduct data collection independently (survey, classroom observation, FGD, interview, spoken and written language data)
• Process and generate descriptive data from surveys, classroom observation, FGDs, interviews and corpora independently
• Be able to construct teaching plans or test items independently
• Be able to design research tools for school-based project
• Project administration tasks such as scheduling and liaise with schools
• Be able to develop and maintain co-operative working relationships with Principal Investigator, colleagues and collaborators, be able to give feedback and share ideas or experience with others, and resolve problems in most situations
• Be able to report clearly on design and progress of research project
• Write research reports and papers, and be able to produce relevant write-ups for proposals under PI’s supervision

Job Requirements:

• Master’s degree or equivalent
• Excellent organizational skills and able to work independently within given deadlines
• Experience in working with teachers and students in Singapore schools
• Excellent problem-solving skills and project management skills
• Basic statistical knowledge and skills
• Good theoretical knowledge of research designs in general
• Good IT skills
• Strong interpersonal, written and verbal communication skills in both English and Chinese, to liaise with Chinese-speaking associates
• Basic knowledge in Chinese Linguistics and Language Teaching and Learning

(All applications will be in strict confidence. We regret that only short-listed candidates will be notified.)

Working Location: Caldecott
Contract Duration: 12 months
Working Hours: Monday – Thursday: 8.30am – 6pm, Friday: 8.30am – 5.30pm
Basic Salary: $2,980 per month

Responsibilities:

· Conduct literature review

· Collect data and manage database

· Analyze data and report findings

· Provide administrative support

· Any other ad-hoc duties as assigned.

Job Requirements:

· Bachelor’s Degree in Psychology / Social Work / Sociology / Early Childhood Education or Social Sciences.

· 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.

· Immediate Starters are preferred (Not serving any notice period)

Interested candidates, please forward a copy of your resume to: [email protected].

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

Justin Lee
Registration No: R22107715
APBA TG Human Resource Pte Ltd
EA License: 14C7275

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting research on optimizing the processing of multi-modal input (especially a combination of event (neuromorphic) vision sensors and RGB camera sensors) for visual grounding tasks, and for also embedding such optimizations in early prototypes of AI-based systems for text+vision tutoring support (e.g., for geometry learning).

Successful candidate will be part of an active research team led by Prof Archan Misra from School of Computing and Information Systems, Singapore Management University.

The candidate will have the following key duties:

• Develop and implement new algorithms for efficient processing of hybrid RGB & event vision streams to extract semantically relevant sensory data for visual grounding tasks.
• Develop and implement optimizations to DNN inferencing pipelines, including the integration of Spiking Neural Network (SNN) models, to reduce latency of visual grounding AI models without adversely affecting accuracy.
• Conduct experimental studies (including generation of training data) to quantify the resulting system performance and generate appropriate analytical artifacts (e.g., graphs, reports) to document such performance
• Support the research team to produce high-quality research publications

• Minimum Bachelor degree in Computer Science, Computer Engineering, or closely related disciplines from a reputable institution of higher learning
• 2+ years of relevant research experience in developing and implementing AI models for advanced visual perception tasks
• Coding experience with DNN and vision AI frameworks, such as pyTorch, TensorFlow and/or OpenCV, is essential.
• Project-level experience with vision DNNs and SNNs (Spiking Neural Networks), especially involving data generated by event-based vision (aka neuromorphic) sensors, is essential
• Ability to work cooperatively as part of a small, agile academic research team is essential
• High quality publications in academic venues related to AI for vision and low-power embedded systems is strongly desired

#LI-JN2

What You'll Be Doing

• Conduct statistical analysis and provide support for research projects
• Manage the organisation’s databases, perform data extraction, and compile statistical data for reporting purposes
• Assist in coordinating research projects for ethics approval and securing research funding as needed

What We're Looking For

• Bachelor Degree level from recognised institute
• 1-2 years of relevant experience in statistical tasks related to the data collection, compilation, and interpretation will be advantageous
• Proficient in SPSS and STATA

Interested applicants, kindly furnish us with your detailed resume in MS Words format and click "Apply Now" button.

**We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities.**

**JobStudio will not solicit any money, request to use your bank account for business or request you to transfer any monies to any parties. Please be aware of scams impersonating JobStudio and our employees. You may call our office directly for verification. We will not be liable for any loss arising from scams.**

JOBSTUDIO PTE LTD

EA License No: 10C4754

EA Personnel: Stephanie Toh

EA Personnel Reg No: R1217674

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Data Analysis: Conduct data analysis to extract valuable insights from healthcare operational data, including patient records, resource allocation, and process efficiency. Employ statistical methods and data visualization techniques to support research objectives.
• Mathematical Modeling: Develop and apply mathematical models to simulate healthcare operational processes, optimizing resource allocation, patient flow, and overall efficiency.
• Programming: Utilize programming languages such as Python, R, or other relevant tools to automate data analysis processes and create software tools for data manipulation and modeling. Utilize programming languages such as MATLAB and Julia, through GUROBI, CPLEX and other optimization solvers to solve the optimization models.
• Research Support: Assist in designing and executing research discussions. Contribute to literature reviews and research proposal development.
• Reporting: Prepare reports, presentations, and visualizations of research findings and insights for internal and external stakeholders. Effectively communicate complex data-driven information.
• Collaboration: Collaborate with the project team, including researchers, clinicians, and administrators, to ensure the project's goals are met. Actively participate in project meetings and contribute to a multidisciplinary approach.

• Possess a Ph.D. degree or equivalent in Data Science, Operations Research, Mathematics, Computer Science, or a related Management Science discipline.
• Exhibit a robust academic and research portfolio demonstrating experience in advanced data analytics and optimization. This includes a track record of engagement with research projects that have culminated in contributions to peer-reviewed conference proceedings or journal publications (either published or under review).
• Evidence of applied analytical skills, such as the development of novel methodologies or the implementation of optimization models in practical settings, will be highly regarded.
• Demonstrate a capacity for critical thinking, a propensity for innovation in problemsolving, and the ability to synthesize complex information into actionable insights.
• A commitment to ongoing professional development and collaboration within interdisciplinary teams is essential.
• Data Analytics: Proficiency in data analytics, including data cleansing, data manipulation, statistical analysis, and data visualization using tools such as Python, R, or related software.
• Mathematical Modeling: Strong mathematical modeling skills, with the ability to create and apply models for healthcare operations optimization.
• Programming: Proficiency in Python or R, to automate data analysis and create modeling tools. Proficiency in MATLAB and Julia, to solve the optimization models. Proficiency in optimization solvers such as GUROBI and CPLEX.
• Research Skills: Familiarity with research methodologies, literature review, and data collection techniques.
• Healthcare Operations Knowledge: A solid understanding of healthcare operations, including resource allocation, and process optimization. Experience in participating in healthcare management research projects.
• Communication: Excellent communication skills to convey complex data-driven insights to a diverse audience.
• Problem-solving: Strong problem-solving abilities to address research challenges and make data-driven recommendations.
• Teamwork: The ability to work effectively in a team, collaborate with cross-functional stakeholders, and contribute to a multidisciplinary approach.

#LI-KC1

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting research on AI for Software Engineering. The candidate will be part of an active research team to be supervised by Prof. David Lo from School of Computing and Information Systems, Singapore Management University.

Candidate's core responsibilities include:

• Design and implement AI for software engineering solutions
• Conduct evaluations and/or user studies to validate the effectiveness of the algorithms and tools
• Write and publish research papers and present them to reputable academic conferences
• Package the documents, implementation code, evaluation results of the project for release
• Liaise with other team members of this project to realize the overall goal of the project

• Minimum Bachelor Degree in Software Engineering/Computer Science/Information Systems from a top-tier or local university
• Minimum 1 year of relevant research experience in Software Engineering research
• Excellent knowledge about software engineering research
• Excellent knowledge about AI
• Highly fluent in programming
• Competent in designing and implementing algorithms and data structures
• Excellent oral and written communication skills
• Excellent analytical, technical and problem solving skills
• Self-motivated individual who can work independently and also collaboratively with team members
• Able to work under strict deadlines

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Collect data through web crawling and/or crowdsourcing.
• Implement baseline methods based on previous research papers.
• Implement new methods to improve the performance of large language models.
• Conduct experiments to empirically evaluate different methods.
• Contribute to the preparation of manuscripts for publication.

• Minimum PhD degree in computer science, Information Technology, Information Systems or closelyrelated disciplines.
• Relevant experiences in video processing, analysis, and research.
• Relevant experiences in developing systems for video computing.
• Excellent knowledge in large-scale video processing and search.
• Excellent knowledge and experience in system development and engineering.
• Good skill in computer programming.
• Good knowledge in dataset curation and preparation of dataset for deep learning.
• Self-motivated individual who can work independently as well as collaboratively in a team to researchand engineer challenging problems.

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Training of neural networks using cooking videos and cooking recipes for cross-modal retrieval.
• Training of neural networks for cross-domain food-to-image retrieval.
• Experiment setup and analysis.

• Minimum PhD degree in computer science, Information Technology, Information Systems or closely related disciplines.
• Relevant experiences in food computing (e.g., food image recognition, recipe retrieval, cross-domain food image retrieval).
• Excellent knowledge in food computing.
• Good knowledge AI and large language models.
• Good skill in computer programming.
• Good knowledge in dataset curation and preparation of dataset for deep learning.
• Self-motivated individual who can work independently as well as collaboratively in a team to research and engineer challenging problems.

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting research on analyzing and improving the quality of the LLM generated code. Successful candidate will be part of an active research team led by Prof Sun Jun from School of Computing and Information Systems, Singapore Management University.

Candidate's core responsibilities are:

• Survey existing approaches on evaluating and improving the quality of LLM generated code
• Evaluate the quality of LLM generated code objectively using multiple metrics, particularly regarding soundness
• Propose approaches for improving the code generation based on consistency
• Implement the proposed approach and experiment it with state-of-the-art LLMs
• Evaluate the effectiveness of the proposed approach and write a paper

• PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum 4 years of relevant research experience in program analysis
• Basic knowledge/Proficiency in programming software/languages such as Python and Java will be positively considered/ is required
• Demonstrated experience and know-how on LLMs
• Experience with at least one programming software/language, such as Python is preferred
• Excellent working knowledge of AI and Machine Learning
• Good analytical, technical and problem-solving skills
• Applicants with research publications in the area of formal methods, software engineering, cyber-security and LLM area will be advantageous
• Self-motivated individuals who can work independently and collaboratively with team members

#LI-JN2

What you'll be doing

• Effectively manage projects from initiation to completion, ensuring timely delivery and quality outcomes
• Develop and refine study protocols to meet research objectives
• Create statistical analysis plans, perform data analysis, and interpret results
• Ensure study compliance with ethical standards and local regulations
• Supervise quantitative and qualitative analyses to maintain accuracy and reliability
• Prepare scientific manuscripts and disseminate study findings to relevant audiences
• Draft proposals to secure new research grants and funding opportunities
• Conduct comprehensive literature reviews, including systematic reviews, to inform research
• Mentor junior staff to support their professional growth and development
• Collaborate with healthcare professionals and partners to facilitate research activities

What we're looking for

• PH.D. in Public Health or Health Services Research
• 1 - 3 years in Clinical/ Public Health/ Health Services research, preferably with track record of leadership
• Proficient in use of standard statistical or qualitative software e.g. STATA, SPSS, NVivo
• Experience in driving a cohesive research team and cross teaming environment
• Excellent communication, problem solving, presentation, negotiation and interpersonal skill

Interested applicants, kindly furnish us with your detailed resume in MS Words format and click "Apply Now" button.

**We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities.**

**JobStudio will not solicit any money, request to use your bank account for business or request you to transfer any monies to any parties. Please be aware of scams impersonating JobStudio and our employees. You may call our office directly for verification. We will not be liable for any loss arising from scams.**

JOBSTUDIO PTE LTD

EA License No: 10C4754

EA Personnel: Stephanie Toh

EA Personnel Reg No: R1217674

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The SMU Urban Institute, launched in early 2024, is a university-level research institute dedicated to advancing an interdisciplinary research agenda. Leveraging SMU's strategic position as a dynamic management university in Singapore's city centre, the Institute aims to make a meaningful impact through the study of Asian cities. We are currently seeking individuals with specific skillsets to support the various ongoing research projects at the Institute.

Work under supervision of PI (Principal Investigator) to create and operate a large-scale taxi/ride-hailing simulator in Singapore setting. The major responsibilities are:

• Refit an existing large-scale taxi/ride-hailing simulator using latest street topology.
• Process large datasets from LTA and Gojek to prepare for simulation calibration.
• Design an automated process to calibrate the simulation model, so that it is consistent with real-world data.

• Bachelors/Masters degree in Computer Science or a related computing focused discipline is required.
• Previous research experience is highly preferred.
• Excellent coding ability and experience in Python or Java is essential.
• Coursework in data structures and algorithms, probability and statistics.
• Experience with geospatial data analytics is a big plus.
• The candidate should provide a sample of significant project on github/bitbucket.

#LI-XL1

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting research on analyzing swimming videos and processing smart watch data from children. Successful candidate will be part of an active research team led by Prof Rajesh Krishna BALAN from School of Computing and Information Systems, Singapore Management University.

Candidate's core responsibilities are:

• Analyze video data collected from drones of singapore swimming athletes
• Extract the body movements and speed from these videos
• Produce a real-time analysis that can be viewed by coaches pool-side
• Process the sensor data collected from smart watches worn by children with autism
• Extract features that are predictive of meltdown incidents
• Create models that can predict meltdowns

• Minimum PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum 5 years of relevant research experience in processing sensor data, machine learning, video analytics
• Proficiency in programming software/languages such as python, cuda, and java will be required
• Demonstrated experience and know-how on sensor processing, video analytics, and machine learning
• Experience with at least one programming software/languages, such as python, cuda and java is preferred
• Excellent working knowledge of machine learning, sensor analysis, and video analytics
• Good analytical, technical and problem solving skills
• Applicants with research publications in mobile systems areas will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

#LI-JN2

What you'll be doing

• Assist in designing and executing research tasks, including recruiting and coordinating participants
• Collect, organise, and analyse data while maintaining accurate records of findings
• Perform data entry, cleaning, and management to ensure accuracy
• Conduct literature reviews, summarise insights, and contribute to research papers, reports, and presentations
• Collaborate with the team to meet project objectives and attend related meetings
• Handle additional tasks as assigned by the reporting officer or department head

What we're looking for

• Bachelor Degree level in Social Science/ Life Science/ Public Health/ Biology/ Psychology or related studies
• Training will be provided, internship experience is welcome
• Ability to work independently, and communicate effectively in English, both verbally and written.

Interested applicants, kindly furnish us with your detailed resume in MS Words format and click "Apply Now" button.

**We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities.**

**JobStudio will not solicit any money, request to use your bank account for business or request you to transfer any monies to any parties. Please be aware of scams impersonating JobStudio and our employees. You may call our office directly for verification. We will not be liable for any loss arising from scams.**

JOBSTUDIO PTE LTD

EA License No: 10C4754

EA Personnel: Stephanie Toh

EA Personnel Reg No: R1217674

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The job is to conduct research on the evaluation of pre-trained vision-language models' video understanding capabilities and the utilization of these pre-trained models for video question answering.

Candidate's core responsibilities are:

• Collect data through web crawling and/or crowdsourcing
• Implement baseline methods based on previous research papers
• Implement new methods to improve the performance of large language models
• Conduct experiments to empirically evaluate different methods
• Contribute to the preparation of manuscripts for publication

• Minimum PhD degree in computer science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum 3 years of relevant research experience in video processing, analysis, and research
• Excellent knowledge in large-scale video processing and search
• Good knowledge and experience in system development and engineering
• Good skill in computer programming
• Good knowledge in dataset curation and preparation of dataset for deep learning
• Self-motivated individual who can work independently as well as collaboratively in a team to research and engineer challenging problems

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Explore related work in TEE-enabled AI applications.
• Build and implement techniques to guarantee the security of the AI applications while minimizing the impact on their accuracy and efficiency.
• Evaluate the techniques on relevant datasets.
• Write reports/papers on the techniques and results.

• Bachelor or Master degree in Computer Science, Information Technology, Cybersecurity, or closely related disciplines from an institution of higher learning
• Relevant research experience in machine learning, computer vision, or natural language processing
• Excellent knowledge/proficiency in programming software/languages such as PyTorch is required
• Demonstrated experience and know-how on machine learning, computer vision, or natural language processing. Research experience on foundation models and/or TEEs is a plus.
• Good analytical, technical and problem solving skills
• Applicants with research publications in top AI venues will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting AI research on career trajectory analytics. Successful candidate will be part of an active research team led by Prof LIM Ee Peng from School of Computing and Information Systems, Singapore Management University.

• Code development
• Database management
• Data analysis and visualization
• Experiment design and implementation
• Software documentation
• Meeting arrangement
• Presentation
• Report writing

• Minimum Bachelor's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Relevant research experience is preferred
• Proficiency in programming in Python and related packages
• Knowledge in large language models, databases (including SQL), NLP, and machine learning.
• Experience with research works is preferred
• Good analytical, technical and problem-solving skills
• Applicants with research publications in AI or NLP area will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The successful candidate will be working with a dynamic, progressive, and close-knit research group led by Dr. Hady Lauw (http://www.hadylauw.com). The group pursues data mining and machine learning research, focusing on preference analytics and recommendation system. We aspire towards world-class research, high-quality publications, and real-world impact.

The Research Engineer will be involved in several activities, including:

• building a framework for Web-scale data extraction and aggregation
• developing front-end site as well as mobile apps for user access of the framework
• conducting rigorous experimentations and data analysis
• supporting the research efforts of the group
• commercializing the technologies arising from the project

• Minimum Bachelor's degree with high academic standing (1st class or 2nd upper) or Master's degree with excellent results from a reputable university, in Computer Science or a closely-related discipline
• Prior experience and deep interest in relevant research is highly preferred
• Competence in at least one major programming language, e.g., Java, C, C++• Experience and know-how on scientific programming with Matlab, R, or Python
• Demonstrated understanding of the theories, principles and algorithms in data mining and machine learning
• Good analytical, technical and problem-solving skills
• Interest in venture and commercialization of technology

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting research on design large language model powered agent framework and develop proactive conversational systems. Successful candidate will be part of an active research team led by Assistant Prof DENG Yang from School of Computing and Information Systems, Singapore Management University.

Candidate's core responsibilities are:

• Conduct routine research and development for the project under the supervision of PI/Co-PI
• Implement data gathering methods, collect research data, and data pre-processing
• Design and implement core and baseline machine learning/NLP methods/approaches for the project
• Conduct experimental evaluation of the designed methods and algorithms
• Participate in drafting technical reports and research papers
• Attend regular meeting and discussions
• Administrate and maintain the hardware/software environment such as development platforms, software packages and toolkits

• Minimum Bachelor's/Master's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum 2 years of relevant research experience in NLP
• A record of publications at recognized international venues
• Excellent skills in programming
• Experience with machine learning and deep learning methods and toolkits
• Experience with programming in Python
• Demonstrated experience on natural language processing, machine learning, and/or large language models
• Excellent analytical, technical and problem-solving skills
• Self-motivated individual who can work independently and collaboratively with team members

#LI-JN2

Coordinator

• Perform screening activities according to protocol eligibility criteria and assist in recruitment.
• Assist investigator in explaining study objectives and procedures to potential participants.
• Verify eligibility of participants before recruitment.
• Assist to obtain written consent from each study participant prior to participation in the study.
• Schedule study visits and ensure visit schedules are adhered to.
• Create source documents and any other research documents required for the successful conduct of a clinical research study or trial.
• Manage data collection in an accurate and timely manner.
• Monitor and report all adverse/ unanticipated events, abnormal results, and protocol deviations or non-compliance.
• Manage budget.
• Assist PI in preparation of study-related presentations/materials.
• Participate in the evaluation of research results where required.

Assistant

• Conduct literature search and write up of research findings.
• Perform data collation, data cleaning, data analysis.
• Develop publication and communication plans, posters and slides for presentations as well as drafting abstracts and manuscripts for publication.

Requirement

• Bachelor's Degree in Psychology / Life Science / Public Health / Nursing or equivalent

Interested applicants, kindly furnish us with your detailed resume in MS Words format and click "Apply Now" button.

** We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities.**

JobStudio Pte Ltd

EA License No: 10C4754

EA Personnel: Pearly Poh

EA Personnel Reg No: R2089904

Job Description

• Conduct statistical analysis and provide support for research projects
• Manage the organisation’s databases, perform data extraction, and compile statistical data for reporting purposes
• Assist in coordinating research projects for ethics approval and securing research funding as needed

Job Requirements

• Bachelor Degree level from recognised institute
• 1-2 years of relevant experience in statistical tasks related to the data collection, compilation, and interpretation will be advantageous
• Proficient in SPSS and STATA

Interested applicants, kindly furnish us with your detailed resume in MS Words format and click "Apply Now" button.

**We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities.**

**JobStudio will not solicit any money, request to use your bank account for business or request you to transfer any monies to any parties. Please be aware of scams impersonating JobStudio and our employees. You may call our office directly for verification. We will not be liable for any loss arising from scams.**

JOBSTUDIO PTE LTD

EA License No: 10C4754

EA Personnel: Stephanie Toh

EA Personnel Reg No: R1217674

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The Research Engineer will be responsible for hands-on and implementation tasks to support the PERFLEXO research project. His/her core responsibilities are:

• Take over from the previous Research Engineer the building of "wrappers" for scientific code into publicly usable packages so that PERFLEXO algorithms can be freely/easily used and tested by the industry and the academic community
• Perform dataset preparation, code execution, performance recording and preliminary technical writing to support the PI's basic research under this project, especially with regards to the ACM TODS submission/revision.

• Minimum a 4-year Bachelor degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher education
• A thesis must have been completed (e.g., Bachelor's thesis) since this is a research post and thus some basic prior experience of working in a concrete research project of non-trivial scale (such as in a thesis) would be needed
• Knowledge of C, Java and MATLAB programming languages
• Some prior experience of working in a concrete research project of non-trivial scale (such as in a Bachelor thesis)
• Good analytical, technical and problem-solving skills
• Self-motivation, ability to work independently and also collaboratively with team members

#Li-JN2

About Us:

Are you passionate about contributing to groundbreaking research projects that advance medical knowledge and improve patient care? Join our team as a Clinical Research Coordinator/Assistant and play a pivotal role in the development and execution of innovative research initiatives. We offer opportunities for individuals with a science-related background to be involved in various aspects of clinical research, from project development to data analysis and publication.

Job Scopes:

• Provide administrative and logistical support to the Principal Investigator in the development and execution of research projects, ensuring smooth project management and compliance with regulatory requirements.
• Conduct literature searches and synthesize research findings to inform the design and implementation of research studies.
• Perform data collation, cleaning, analysis, and presentation of findings to stakeholders, contributing to the generation of valuable insights and conclusions.
• Collaborate with the research team in developing publication and communication plans, preparing posters and slides for presentations, and drafting abstracts and manuscripts for publication in scientific journals.
• Handle other ad hoc duties as required to support the efficient operation of the research team and project success.

Job Requirements:

• Minimum
• Degree in Science or related fields from a recognized institution.

Join Our Team:

If you're looking for an opportunity to be part of cutting-edge research projects and make a meaningful impact on healthcare, we invite you to join our team as a Clinical Research Coordinator/Assistant. Be part of a dynamic team dedicated to advancing scientific knowledge and improving patient outcomes.

How to Apply:

Interested applicants, kindly furnish us with your detailed resume in MS Words format and click "Apply Now" button

** We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities.**

“ JOBSTUDIO WILL NOT SOLICT ANY MONEY , REQUEST TO USE YOUR BANK ACCOUNT FOR BUSINESS OR REQUEST YOU TO TRANSFER ANY MONIES TO ANY PARTIES , PLEASE BE AWARE OF SCAMS IMPERSONATING JOBSTUDIO AND OUR EMPLOYEES , YOU MAY CALL OUR OFFICE DIRECTLY AT 64221390 FOR VERIFICATION. WE WILL NOT BE LIABLE FOR LOSS ARISING FROM SCAMS.”

JOBSTUDIO PTE LTD

EA License No: 10C4754

EA Personnel: Hoh Mei Ling

EA Personnel Reg No: R21103150

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Identify and initiate research themes and papers individually and in collaboration with other scholars
• Research design, delivery, and support
• Conduct research into industry standards, practices, and developments in dispute resolution processes and policies
• Articulate findings and analysis and produce highest-quality academic and non-academic publications and products, including organizing and participating in events, training and workshops
• Lead and/or assist w th editing, formatting, cite-checking, and revision processes
• Oversee short-term interns or student research assistants
• Liaise with Centre Manager to draw up necessary event budgets, execute vendor agreements, and ensure standard operating procedure compliance
• Other administrative or operational duties as necessary

• PhD in law or equivalent

#LI-JN2

This role will be supporting clinical and medical research projects within the Healthcare & Medical industry.

What you'll be doing

• Design, implement, and analyse clinical research studies
• Conduct literature reviews, summarise findings, and prepare abstracts, manuscripts, and presentations
• Collect, clean, and analyse research data to provide actionable insights
• Provide administrative and logistical support to the Principal Investigator, including scheduling and record-keeping
• Collaborate with cross-functional teams to ensure timely and effective project execution
• Create publication plans, posters, and slides for conferences and communications
• Stay updated on advancements in clinical research to drive innovation

What we're looking for

• Bachelor degree in Life Sciences
• 1 - 2 years of experience in a research assistant or similar role
• Excellent data collection, analysis and reporting skills
• Strong attention to detail and the ability to work with a high degree of accuracy

Interested applicants, kindly furnish us with your detailed resume in MS Words format and click "Apply Now" button.

**We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities.**

**JobStudio will not solicit any money, request to use your bank account for business or request you to transfer any monies to any parties. Please be aware of scams impersonating JobStudio and our employees. You may call our office directly for verification. We will not be liable for any loss arising from scams.**

JOBSTUDIO PTE LTD

EA License No: 10C4754

EA Personnel: Stephanie Toh

EA Personnel Reg No: R1217674