Total 2,573 Education / Training job vacancies in Clementi, South West

The Sensory Science and Oral Processing Research Platform at SIFBI seeks to appoint a postdoctoral research scientist to work on the mechanisms of oral-nasal mass transfer and instrumental simulation of the process.

Main responsibilities:

• To conduct independent lab-based research on instrumental design and construction
• To design experimental devices and set ups needed for the project
• To initiate and lead collaborations with researchers within and outside the institute
• To supervise junior researchers on project-based works
• To effectively disseminate research findings either via conference presentations or writing up research publications

Job Requirements:

• PhD degree in physics, material science, mechanical engineering, or other relevant disciplines of physical science and engineering
• Previous experience in instrument design greatly beneficial
• Knowledge and research experience in food sensory, food flavour, food physics are ideal, but not essential
• An excellent track record of research publications
• The candidate should also have excellent communication skills and is expected to establish collaborations with researchers from other scientific disciplines.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Understanding the pharmaco/nutrico/toxicokinetic behaviour of drugs, chemicals and food ingredients is a fundamental step in assessing the efficacy and safety of these materials. It can be challenging to study such substances directly in human subjects, while animal models lack direct translatability to humans due to inherent differences in species biology. One promising strategy is the use of physiologically-based pharmacokinetic (PBPK) modelling to predict the local tissue and systemic exposure of these substances. We have developed in-house in vitro and in silico tools to model chemical absorption, distribution, metabolism and excretion (ADME) in humans using data generated from in vitro assays. We apply these tools to predict pharmacokinetic profiles in different settings, ranging from oral or transdermal administration to studying special populations such as pregnant women, for a variety of substances including pharmaceuticals, food ingredients, environmental contaminants, essential micronutrients and microbial metabolites. These capabilities are further enhanced with state-of-the-art, enabling technologies such as the SHIME® intestinal digestion simulator and spatial mass spectrometry imaging.

The following tasks are expected of the candidate:

• Literature search to extract relevant ADME data for chemicals of interest
• Perform in vitro absorption, transporter, metabolism, fraction unbound and other related ADME assays
• Quantify membrane protein, metabolic enzyme and xenobiotic concentrations within biological samples using liquid chromatography-tandem mass spectrometry (LC/MS/MS) instruments
• Integrate appropriate in vitro and in silico data into PBPK models to predict the ADME of chemicals
• Develop new and/or improve features of in-house models, including pharmacodynamic modelling
• Write scientific grant proposals, maintain laboratory notebooks, prepare scientific reports, presentations and manuscripts
• Supervise and train students and interns

Qualifications

• PhD in Pharmaceutical Science, Life Sciences or equivalent.
• Strong understanding of ADME and pharmacokinetic concepts is essential.
• Prior experience in in vitro ADME assays and analytical mass spectrometry workflows is desirable.
• Prior experience with PBPK tools such as Simcyp®, GastroplusTM, PK Sim, Matlab/Simbiology or other models is desirable.
• Able to work in a multi-disciplinary team, possess strong organizational and project management skills, demonstrate initiative and able to work independently.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The Sensory Science and Oral Processing Research Platform at SIFBI seeks to appoint a postdoctoral research scientist to work on the mechanisms of oral-nasal mass transfer and retronasal sensation.

Main responsibilities:

• To conduct independent lab-based research
• To design experimental tasks and conduct independent research on mass transfer and retronasal sensation according to the project plan.
• To initiate and lead collaborations with researchers within and outside the institute
• To supervise junior researchers on project-based works
• To effectively disseminate research findings either via conference presentations or writing up research publications.

Job Requirements:

• PhD degree in food science, food sensory, food flavour, sensory analysis, oral physiology, or other relevant disciplines.
• Knowledge on sensory receptors, sensory physiology is advantageous.
• An excellent track record of research publications.
• The candidate should also have excellent communication skills and is capable of working together with researchers from other scientific disciplines.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A Programme Manager position is open at the Singapore Hybrid-Integrated Next-Generation μ-Electronics (SHINE) Centre of Professor Aaron Thean and within the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The candidate will have a leading role in managing the related research projects, reviewing, and monitoring the execution, leading all aspects of the communication with the involved industrial parties.
The candidate will also have responsibilities in the following areas:
1. Coordinate the setup of the Centre in close collaboration with its Directors and PIs.
2. The Programme Manager is expected to play a leadership role in ensuring a tightly integrated programme where appropriate research activities are clearly collaborative; and to monitor, supervise, and manage the various principal investigators and receive reports on their research projects and specifically to review the progress of the various research activities for their deliverables along pre-determined timelines and make necessary changes, when appropriate, to the programme to achieve the stated goals.
3. Monitor and report on usage of the grant, review, and report expenditure where appropriate.
4. Expected to assist and interact with all partners on reports such as mid-term review reports, annual programme reports, final programme report etc.,
5. Assist on scientific or technical review and shall provide an overall presentation at such reviews.
6. Managing the timeline and deliverables through the programme operations.
7. Interact with the technical teams and industry partners on visits regularly to engage with their home teams to ensure technology relevance.
8. Maintain fixed asset inventory and enforce high standard of document control and record keeping.

Prior experience with project management roles, exposure to different work environments, and a background on Electrical or Computer Engineering are highly valued.

Qualifications

1. Preferably a PhD degree from a reputable university, ideally in Electrical Engineering or related (e.g., Computer, Communication, or Information Engineering).
2. Knowledge and experience in managing projects and/or research programmes is highly valued, along with experience in different roles and functions.
3. Good interpersonal, communication and leadership skills are required along with good written and oral communication skills.
4. The candidate needs to have high tolerance for ambiguity and ability to work on multiple sub-projects simultaneously, ability to prepare/disclose/handle information of a confidential nature, as well as to work in a team and positive “can-do” attitude, as documented by prior work experience and reference letters.
5. Open to Fixed Term Contract.

The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer the development and discovery of new and more effective methods for the treatment, prevention and control of new and emerging pathogens. The key outcome of the research will be the early identification of new pathogens, out of which new diagnostic tests, treatments and control strategies will be developed.

This position is for a full-time Senior Research Fellow position. The Laboratory of Virus Evolution (LoVE) studies rapidly evolving respiratory RNA viruses including influenza, parainfluenza and coronaviruses. Our research helps to understand the molecular drivers of virus evolution and population dynamics, and their influence on virulence and pathogenicity.

The candidate is expected to play a critical role in generating and fostering a cutting-edge, interdisciplinary research environment. The candidate should possess a strong background in molecular virology and/or immunology, and will utilize metagenomics sequencing and virologic techniques to understand the evolutionary dynamics of different RNA viruses. The candidate will be involved in developing antiviral antibody therapies in the prevention and treatment of virus disease.

The candidate is expected to perform a variety of research under the Principal Investigator’s supervision or his/her designate. The main duties and responsibilities will include but are not limited to the following: -

• Conduct and design experiments for rapid molecular diagnosis and efficient genomic sequencing
• Perform bioinformatics and phylogenetic analyses
• Develop and test novel antiviral preventive or therapeutics against virus infections.
• Conduct in vitro and in vivo experiments to study virulence and pathogenesis.
• Interface and network with clinical counterparts and team members to achieve the goals of the project.
• Write research papers, present research outcomes, conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact on the relevant field attracting research funding.
• Provide support for external grant/protocol development, study design and management of research activities.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Virology, Molecular Biology, Immunology or other related disciplines.
• Have a strong background in molecular virology, particularly on RNA viruses.
• Possess strong laboratory skills and experience in animal research.
• Prior experience with antibody techniques is preferred.
• Possess excellent analytical, organisational, and communication skills.
• Self-motived, able to work effectively and efficiently, willing to work hard to meet tight deadlines and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

Role Overview:

In this role, you will be responsible for supervising and managing the execution of all campus graduate training programs and skilling initiatives in both Singapore and Malaysia. This involves ensuring the effective delivery of the programs, coordinating with trainers and facilitators, monitoring progress, and guaranteeing that the learning objectives are met successfully. Additionally, you will work closely with stakeholders to address any challenges that may arise and continuously seek ways to enhance the effectiveness and impact of the training programs across both regions.

Job Description:

• Collaborate with support functions such as TSC and TAG to establish a pipeline for annual graduate hires, working closely with these teams to forecast and strategize graduate recruitment.
• Partner with business leaders in the region to identify skill development needs (S2D, S2R, and S2C), leading cross-functional teams in evaluating, planning, and executing learning and development strategies to address learning requirements in Singapore and Malaysia.
• Building rapport with teams to support learning needs of the business, acting as a subject matter expert and ensuring that all initiatives are clearly prioritized and delivered within agreed timescales.
• Driving customization of training programs to meet the region-specific learning needs.
• Reviewing participant attendance, evaluating trainer performance and the effectiveness of training programs.
• Prepare regular reports for L&D and business leadership teams.
• Work with other L&D Team members across the globe to share common best practices.
• Have cadence calls with the leaders weekly/monthly/quarterly call with practice to discuss progress, issues, risks and performance.
• Review ongoing opportunities in pipeline and discuss strategies.
• Implement the project plan related to the execution of training programs as directed by the Learning Delivery Lead.
• Generate / Respond to the Skilling Needs.
• Drive SkillUp compliance for learning goals.
• Engage with government agencies such as IMDA (Singapore), MDEC, and HRDC (Malaysia) regarding various funding programs and organize training accordingly.
• Analyze and promptly report feedback in terms of L1, L2, and L3 from programs/initiatives to the Solutions team and consultants.
• Liaise with external vendors for execution of Programs / initiatives (facilitator schedules)
• Monitor and ensure adherence to the Vendor engagement in terms of delivery and quality

While Learning delivery is the primary responsibility of the role, candidate will also be responsible for engaging and managing relationships with all business practices in their geo and work with local leaders to understand their business/learning needs. Be the Brand Ambassador for Cognizant Learning and Development.

Requirements:

• At least 24 months commitment to stay in the new role
• Strong team player with excellent relationship-building and communication skills
• Proficiency in Excel with hands-on experience in basic Excel formulas like VLOOKUP, PivotTables, and fundamental PowerPoint skills
• Ability to work effectively with minimal supervision.
• Go getter and ability implement and innovative.
• Good understanding of Business and technology landscape.
• Good Communication/presentation skills.
• Cross Cultural adaptability and learn ability
• Should be empathetic and a team player.
• Fast learner with a willingness to learn from setbacks.
• Competent in Infographics, MS office and reporting tools.
• Project Management abilities.

If you are a former MOE Tamil Language teacher, or a Trained Teacher with a professional teaching qualification in Tamil Language, we welcome you to join us!

To apply, please go to the Careers@Gov job post at www.go.gov.sg/moe-ttr-tl. Click "Apply Now" to complete the FormSG application form. Kindly specify your subject proficiencies and preferred teaching subjects, and remember to attach all your educational transcripts with your application. Please note that only applications submitted via the FormSG application form will be considered.

Key Personnel (KP)

Former KPs may be considered for reappointment as a KP. Please note that if there is no suitable KP position available, we will consider your application for a classroom teaching position instead.

Successful candidates will be appointed on a contract basis in the first instance.

Applicants can expect to receive an update from us within 4 to 6 weeks from your application date.

Should you encounter any difficulty in submitting your application, please contact us at [email protected] for assistance.

If you are a former MOE Tamil Language teacher, or a Trained Teacher with a professional teaching qualification in Tamil Language, we welcome you to join us!

To apply, please go to the Careers@Gov job post at www.go.gov.sg/moe-ttr-tl. Click "Apply Now" to complete the FormSG application form. Kindly specify your subject proficiencies and preferred teaching subjects, and remember to attach all your educational transcripts with your application. Please note that only applications submitted via the FormSG application form will be considered.

Key Personnel (KP)

Former KPs may be considered for reappointment as a KP. Please note that if there is no suitable KP position available, we will consider your application for a classroom teaching position instead.

Successful candidates will be appointed on a contract basis in the first instance.

Applicants can expect to receive an update from us within 4 to 6 weeks from your application date.

Should you encounter any difficulty in submitting your application, please contact us at [email protected] for assistance.

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

Augmented Human Lab, at the Smart Systems Institute, National University of Singapore is seeking a motivated postdoctoral researcher with expertise in Machine Learning, AI, and multi-modal interaction for developing emotion recognition systems.

NUS is a world-class university that provides an outstanding and supportive research environment. Its School of Computing is highly ranked within the top 10 in the world. The Augmented Human Lab is an excellent environment with a diverse team (www.ahlab.org/people) which will accelerate your research career.

The initial term of appointment will be 1-year. The selected candidate will be offered competitive salaries and benefits.

The Research Fellow will be responsible for working closely with the Principal Investigator (A/Prof Suranga Nanayakkara). He/She will work on creating an AI system that can identify emotional states and make recommendations (e.g. drinks).

Major responsibilities include:

1. Conduct original, impactful research leading the industry funded ‘EmoDrink’ project
2. Provide guidance to PhD students, Research Engineers in the group.
3. Dissemination of the research outcomes via Journal/Conference papers and contribute to research grant proposals.
4. Participation in industry project meetings as well as industrial/academic events.

Qualifications

• PhD in Computer Science (or equivalent)
• Experience and interest in ML/AI techniques
• Good track record of research with a good publication record
• Excellent communication skills (written and verbal) and interpersonal skills

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

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

We regret that only shortlisted candidates will be notified.

Job Description

• The Research Fellow will work closely with the Principal Investigator, Dr. Zhang Yamin, on the research project of design biodegradable batteries for healthcare and sustainable applications.
• The Research Fellow will help develop new electrode materials, biodegradable batteries, self-powered electronic platforms, and investigate the medical and environmental applications.

Job Requirements

For Research Fellow Position:

• A PhD degree in a relevant area, e.g., Chemical Engineering, Material Science and Engineering, Chemistry, Electrical Engineering;
• Good publication record;
• Experienced material synthesis and characterization, electrochemistry
• This position is available from January 2025

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

• Conduct research on the formulation and processing of 3D printed soft materials, develop and optimize material compositions, and perform experimental characterization and testing.
• Collaborate with interdisciplinary teams to integrate materials into functional prototypes and applications.
• Prepare research findings for publication in high-impact scientific journals.
• Assist in the supervision and mentorship of graduate and undergraduate students.
• Participate in lab management, including equipment maintenance, supply management, and ensuring compliance with health and safety regulations.

Qualifications

• Ph.D. in Materials Science, Mechanical Engineering, Chemical Engineering, or a related field.
• Strong background in materials formulation, polymer processing, and 3D printing technologies.
• Proven track record of publishing high-quality research in peer-reviewed journals.
• Excellent problem-solving skills and ability to work independently and collaboratively.
• Strong written and oral communication skills.

About us

Help us make a difference! - At Sunbird Bio, we’re developing protein-based diagnostic tests that provide unprecedented insights to enable earlier, more accurate diagnosis and treatment of Alzheimer’s disease and other neurological disorders. We are addressing the tremendous, growing need for more reliable and sensitive diagnostic tests to accelerate drug development and enhance patient care. We will be able to give patients and clinicians the clarity they need to make confident decisions when they matter most. Join our team to find a purpose-driven career and environment that supports you while you’re working to help others.

Job Specification

The Research Officer will work directly with a team of scientists to test and develop new assays. The successful candidate will be responsible for ensuring experiments are completed in a timely manner.

· Perform a variety of molecular, cellular and immunology related assays such as qPCR and ELISA.

· Compile and analyse experimental data and adjust experimental designs as necessary.

· Maintain accurate and detailed laboratory records and data.

· Maintain laboratory equipment performance and supplies inventory.

· Prepare materials for submission to external partners.

· Prepare progress reports and present to research team.

· Responsible for housekeeping of laboratory.

· Any other duties as assigned from time to time.

Requirements (Qualification, Years of Experience, Knowledge & Skills required)

· B.Sc or M.Sc. in Biology, Immunology, Biochemistry, Bioengineering or related discipline.

· Experience with molecular biology assays (e.g. qPCR, ELISA).

· Experience with cell biology techniques including cell culture and clinical sample processing.

· Able to work in a fast-paced environment with tight deadlines.

· Prior industry experience is an advantage.

· Strong desire to learn continuously.

· Able to work independently and in a collaborative manner with an interdisciplinary team.

· Effective verbal and written communication skills.

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

Augmented Human Lab, at the Smart Systems Institute, National University of Singapore is seeking a motivated postdoctoral researcher with expertise in signal processing and hardware prototyping, with specific focus in developing audio-based systems.

The Research Fellow will be responsible for working closely with the Principal Investigator (A/Prof Suranga Nanayakkara). He/She will work on developing an audio data collection testbed as well as a signal processing framework for enabling sound event recognition through drones equipped with microphones.

Major responsibilities include:

• Conduct original, impactful research.
• Provide guidance to PhD students, Research Engineers in the group.
• Dissemination of the research outcomes via journal/conference papers and contribute to research grant proposals
• Participation in industry project meetings as well as industrial/academic events.

Qualifications

• PhD in Computer Science (or equivalent)
• Experience and interest in audio hardware prototyping and signal processing techniques
• Good track record of research with a good publication record
• Excellent communication skills (written and verbal) and interpersonal skills

If you are a former MOE Tamil Language teacher, or a Trained Teacher with a professional teaching qualification in Tamil Language, we welcome you to join us!

To apply, please go to the Careers@Gov job post at www.go.gov.sg/moe-ttr-tl. Click "Apply Now" to complete the FormSG application form. Kindly specify your subject proficiencies and preferred teaching subjects, and remember to attach all your educational transcripts with your application. Please note that only applications submitted via the FormSG application form will be considered.

Key Personnel (KP)

Former KPs may be considered for reappointment as a KP. Please note that if there is no suitable KP position available, we will consider your application for a classroom teaching position instead.

Successful candidates will be appointed on a contract basis in the first instance.

Applicants can expect to receive an update from us within 4 to 6 weeks from your application date.

Should you encounter any difficulty in submitting your application, please contact us at [email protected] for assistance.

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 seek exceptional Postdoctoral Fellows (PDFs) to lead projects in organic and hybrid materials innovation and perovskite solar cell.

You should have a PhD degree in chemistry, physics, materials science, electrical engineering, chemical engineering, or similar field with strong hands-on experience in perovskite, organic, and inorganic semiconductors, thin-film processing and device characterizations.

Job Requirements

Candidates should have a good first-authored publication record, a high motivation for innovation, excellence and flexibility to work and deliver results. Candidates are expected to bring excellent organizational and time-management skills; excellent communication skills, including the capacity to offer thoughtful and clear technical guidance on research projects; and clear and efficient writing.

Candidates will bring proven expertise in one or more of the following domains:

• Design and synthesis of new materials;
• Advanced materials and device characterization;
• Micro-nano-technology for device fabrication;
• Perovskite solar cell;
• Perovskite stability;
• Large scale thin-film coating technologies

First Konnection, Singapore's trusted education recruitment agency, partners with top childcare centers to connect talent with rewarding career opportunities.

We are proud to work with a leading MapleBear center, recognized for its nurturing environment, providing air-conditioned facilities for the comfort and well-being of infants.

What We Offer:

• Effortless Application Process: We handle all logistics while you focus on your career.
• Direct Communication: Clear updates and guidance throughout the application process.
• Career Support: Get personalized advice on how to present your strengths and secure the role.

Your Role as an Infant Care Teacher:

• Caring for Infants: Provide compassionate care and support their growth and development.
• Learning Through Play: Engage infants with age-appropriate, fun, and interactive activities.
• Safe & Stimulating Environment: Ensure a safe, clean, and nurturing space.
• Parental Communication: Keep parents informed on their child’s daily activities and progress.
• Team Collaboration: Work closely with your colleagues to create a positive and supportive environment.

Requirements:
To comply with local regulations, you must possess one of the following qualifications:

• Advanced Certificate in Early Years (ACEY)
• Higher Certificate in Infant Care (HCIC)

Why Join Us?

• Innovative Learning: Be part of a center that values play-based learning and creativity.
• Career Development: Access professional growth opportunities in a supportive team environment.

Apply Today and Make a Positive Impact on the Next Generation!
EA Registration No.: R23111820 (Ben Chang)
EA Licence No.: 22C1307 (First Konnection Pte. Ltd.)

About us

Help us make a difference!

At Sunbird Bio, we’re developing protein-based diagnostic tests that provide unprecedented insights to enable earlier, more accurate diagnosis and treatment of Alzheimer’s disease and other neurological disorders. We are addressing the tremendous, growing need for more reliable and sensitive diagnostic tests to accelerate drug development and enhance patient care. We will be able to give patients and clinicians the clarity they need to make confident decisions when they matter most. Join our team to find a purpose-driven career and environment that supports you while you’re working to help others.

Job Specification

The Research Scientist will lead a team of researchers to design, develop and validate immuno-assays on a novel diagnostic platform. The successful candidate will be responsible for ensuring project goals are met in a timely manner and to communicate the results to relevant stakeholders.

· Work with the team to scope and manage project within requirements and ensure timely execution.

· Design and execute experiments for development and optimization of immuno-diagnostic assays according to required specifications.

· Constantly survey literature for new ideas that for the optimization of immunoassays

· Able to analyse, summarize and communicate results to relevant stakeholders.

· Provide scientific input in both R&D meetings and multifunctional meetings.

· Mentor junior team members in experimental design and troubleshooting.

Requirements (Qualification, Years of Experience, Knowledge & Skills required)

· PhD qualification in Biology, Chemistry, Biochemistry or related disciplines.

· Extensive experience in developing assays on different immunoassay platforms (ELISA, Quanterix, MSD, Elecsys) is highly preferred.

· Prior experience in protein synthesis and characterization with tools such as SPR (Biacore, Horiba, Octet etc.) to study protein-protein interactions and binding kinetics preferred

· Familiarity with general molecular biology and biochemical techniques such as protein conjugation

· Experience in bioassays and working with human samples is a plus

· Prior industry assay development experience is a plus.

· Knowledge of regulatory or quality assurance processes is an advantage.

· Able to work in a fast-paced environment with tight deadlines.

· Flexibility to lead or be part of the team.

· Able to work independently and in a collaborative manner with an interdisciplinary team.

Roles and Responsibilities

• Conduct lessons based on the school’s curriculum / theme given
• Love children and passionate to nurture them
• Classroom management and maintenance
• Ensure the classroom is kept in a clean and safe condition at all times
• Carry out routine care as needed
• Ensure safety and hygiene of children
• Organise and participate for events / celebrations
• Build rapport and communicate with parents to maintain good relationships and keep parents up to date on their children’s progress

Requirements

• Possess ACEY or Diploma in Early Childhood Care and Education – Teaching (English), Diploma in Education or its equivalent
• At least one of the following: L1 / L2/ EY2 / ACEY
• Advanced diploma feel free to apply too
• Good team player
• Dedicated and self-motivated
• Good communication and interpersonal skills

Responsibilities:

• Model development: Design, develop, and implement machine learning models and algorithms to address specific business problems or opportunities.
• Data preprocessing: Clean, preprocess, and analyse large datasets to extract meaningful insights and features for use in AI/ML models.
• Model training and evaluation: Train, validate, and optimise machine learning models using various techniques such as cross-validation, hyperparameter tuning, and performance evaluation.
• Model deployment: Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance.
• Collaboration: Collaborate with data scientists, software engineers, and business stakeholders to understand requirements, iterate on models, and integrate AI/ML solutions into existing systems.
• Research and innovation: Stay updated on the latest AI/ML research, tools, and best practices, and apply innovative approaches to solve complex problems and drive continuous improvement.
• Documentation and reporting: Document the development process, model performance, and insights generated, and communicate findings to technical and non-technical stakeholders.

Note: Proceeding to apply on this job post means you have read, understand and agreed to WPH DATA PROTECTION NOTICE FOR JOB APPLICANTS in the link below.

https://www.wphdigital.com/notices

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

National University of Singapore (NUS) is a reputed world-class university that provides an outstanding and supportive research environment. Singapore is a vibrant, well-connected city with low taxes and research hub in Asia.

NUS Department of Computer Science is seeking a highly motivated and talented postdoctoral researcher to join our team. This postdoctoral research project will focus on graph analysis. The goal is to develop effective and scalable algorithms for mining complex networks.

Qualifications

• PhD degree in Computer Science.
• Thorough understanding of data structures and algorithms, with high self-motivation and excellent problem-solving ability.
• At least 3 first-author publications in top-tier conferences related to database or data mining, such as SIGMOD, VLDB, and KDD.
• At least 1 year of experience in industrial R&D, particularly in deploying algorithms on online platforms handling massive data.

Job Description

Responsibilities

• Responsible for leading and managing large research projects that may involve multiple research institutes and industry partners, covering different technology and industry sectors
• Collaborate with Principal Investigator, organise and lead project reviews including project administrative matters
• Adhere to project management framework over the project life cycle to manage progress, schedule, and risk, and ensure deliverables meet project objectives
• Manage project dashboard, drive workflow automation and improvement
• Engage stakeholders effectively to ensure close collaboration and alignment towards project goals

Requirements

• Bachelor's degree in Engineering or Science, or higher qualification with 8 years of experience related to project management
• Familiar with project management methodologies, best practices, and problemsolving skills
• Proven track record in managing full project cycle from project kick off, to execution and till project closing successfully
• Good technical background, excellent organizational skills including attention to details
• Strong communication and interpersonal skills to manage internal and external stakeholders
• Individuals without the mentioned prerequisites will be evaluated based on their strong willingness to acquire new skills

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Responsibilities:

• Design and develop AI/ML solutions: Lead the design and architecture of AI/ML systems, including selecting appropriate algorithms, models, and technologies to address specific business challenges.
• Technical leadership: Provide technical leadership and guidance to AI/ML development teams, ensuring best practices, scalability, and performance optimisation.
• Solution implementation: Oversee the end-to-end implementation of AI/ML projects, from data collection and preprocessing to model training, validation, and deployment.
• Collaboration: Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to understand requirements and translate them into AI/ML solutions.
• Research and innovation: Stay updated on the latest AI/ML trends, research, and tools, and apply innovative approaches to solve complex problems and drive continuous improvement.
• Performance evaluation: Evaluate the performance and accuracy of AI/ML models, and iterate on solutions to enhance predictive capabilities and business value
• Governance and compliance: Ensure adherence to data governance, privacy regulations, and ethical considerations in AI/ML solution development and deployment.

Note: Proceeding to apply on this job post means you have read, understand and agreed to WPH DATA PROTECTION NOTICE FOR JOB APPLICANTS in the link below.

https://www.wphdigital.com/notices

Responsibilities:

• Prompt Generation: Developing and refining AI models and algorithms to generate contextually relevant and accurate prompts for various applications, such as chatbots, virtual assistants, or natural language processing systems.
• Natural Language Understanding: Enhancing AI models to understand and interpret user input, queries, or commands, and generate appropriate prompts or responses based on the context and intent.
• Model Training and Tuning: Training and fine-tuning AI models using machine learning techniques to improve prompt generation, language understanding, and response generation.
• Contextual Awareness: Ensuring that AI prompts are contextually aware and adaptive to different scenarios, user preferences, and conversational contexts.
• Collaboration: Collaborating with cross-functional teams, including data scientists, software engineers, and product managers, to integrate prompt generation capabilities into AI-powered applications.
• Performance Evaluation: Evaluating the performance and accuracy of prompt generation models, iterating on solutions to enhance contextual relevance and user experience.
• Research and Innovation: Staying updated on the latest AI research, natural language processing advancements, and conversational AI trends to inform prompt engineering strategies and initiatives.

Note: Proceeding to apply on this job post means you have read, understand and agreed to WPH DATA PROTECTION NOTICE FOR JOB APPLICANTS in the link below.

https://www.wphdigital.com/notices

First Konnection, Singapore's trusted education recruitment agency, partners with top childcare centers to connect talent with rewarding career opportunities.

We are proud to work with a leading MapleBear center, recognized for its nurturing environment, providing air-conditioned facilities for the comfort and well-being of infants.

What We Offer:

• Effortless Application Process: We handle all logistics while you focus on your career.
• Direct Communication: Clear updates and guidance throughout the application process.
• Career Support: Get personalized advice on how to present your strengths and secure the role.

Your Role as an Infant Care Teacher:

• Caring for Infants: Provide compassionate care and support their growth and development.
• Learning Through Play: Engage infants with age-appropriate, fun, and interactive activities.
• Safe & Stimulating Environment: Ensure a safe, clean, and nurturing space.
• Parental Communication: Keep parents informed on their child’s daily activities and progress.
• Team Collaboration: Work closely with your colleagues to create a positive and supportive environment.

Requirements:
To comply with local regulations, you must possess one of the following qualifications:

• Advanced Certificate in Early Years (ACEY)
• Higher Certificate in Infant Care (HCIC)

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Job Purpose

The National University of Singapore (NUS) Yong Loo Lin School of Medicine invites applications for an Instructor position on the Educator Track Scheme in the Department of Pharmacology. The Department teaches medical, dental, nursing, pharmacy, and life science students at both undergraduate and graduate levels (more information on the Department is available at http://medicine.nus.edu.sg/medphc/). Appointments will be offered on a 2 to 3 years contract basis in the first instance with possibility of extension, depending on performance.

Duties and Responsibilities

The candidate will report to the Head of Department and work closely with the Education Directors to contribute to excellence in pharmacology education.

The instructor will be expected to:

• Contribute in practical and tutorial sessions and extramural training courses to industry partners
• Adopt a reflective and professional approach to teaching and learning strategies
• Show scholarly engagement with pedagogical issues such as the impact of teaching on student learning
• Contribute to materials development on courses taught in the department
• Contribute to the department’s education related projects and initiatives

Requirements

(Please state Qualification, Years of Experience, Knowledge & Skills required.)

The applicant should have:

• A minimum of a Master’s degree with good knowledge, skills and expertise in Pharmacology, Pharmacy, Life Sciences, Biomedical Sciences or other related fields
• Teaching experience in the area of pharmacology and physiologically based pharmacokinetic (PBPK) modeling with evidence of expertise in academic writing will be preferred
• Potential for development on the educator track. Moving to a lecturer position on the educator track will require a PhD in the relevant field.
• Reflective and professional approach to teaching and student learning.