Total 2,780 Education / Training job vacancies in pasir ris

About Us: dConstruct is a dynamic organization at the forefront of AI and robotics innovation, dedicated to fostering a vibrant community of professionals, researchers, and enthusiasts in these fields. Our community hub serves as a central platform for collaboration, knowledge-sharing, and networking. The Hub will be located at Punggol Digital District.

Job Description: We are looking for an enthusiastic Technical Trainer to educate people in the technological field of AI and Robotics. You will develop technical training programs and help others develop skills that will make them better professionals.

Technical trainers must be knowledgeable in their field of expertise and possess solid technical aptitude. Additionally, we expect you to be an excellent communicator, able to explain complex subjects in a clear and interesting way.

The goal is to contribute to the development of people’s technical/IT skills to meet organizational needs.

Responsibilities

• Devise technical training programs according to organizational requirements
• Produce training schedules and classroom agenda
• Determine course content according to objectives
• Prepare training material (presentations, worksheets etc.)
• Execute training sessions, webinars, workshops etc. in groups or individually
• Arrange for and conduct on-site training when needed
• Keep and report data on completed courses, absences, issues etc.
• Observe and evaluate results of training programs
• Determine overall effectiveness of programs and make improvements

Requirements and skills

• Proven experience as technical trainer
• Knowledge of modern training techniques and tools in technical subjects especially robots and drones
• Experience in designing technical course content
• Ability to address training needs with complete courses
• Working knowledge in MS Office (especially Powerpoint)
• Outstanding communication skills and comfortable speaking to crowds
• Excellent organizational and time-management abilities
• Degree in a relevant technical field
• Certification such as CTT+ (Certified Technical Trainer) is a strong asset

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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.

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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

The successful candidate will work with L. Roman Carrasco on counterfactual analysis of community-based fisheries projects in Philippines and spatial modeling of possibilities to scale up projects under the project Quantifying the Mechanisms for Effective Community-Based Fisheries Management.

The main responsibilities of the position include:

• Coordinating secondary data collection and organization with project partners.
• Leading survey design in collaboration with all project partners.
• Providing support for survey implementation by local teams in the Philippines.
• Collating, cleaning and organising secondary and primary data, and associated materials, for analysis.
• Conducting the primary impact evaluation.
• Conducting the analysis of mechanisms to impact.
• Collaborating with UK partner on analysis of adoption of community-managed fisheries.
• Managing all logistics relating to project design and management,
• Ensuring all outputs are delivered on time.
• Coordinating monthly (or bi-monthly) meetings with all partners and maintaining positive relationships with all partners throughout.
• Producing 1-2 papers.

Qualifications

• PhD in Environmental Economics, or other Environmental Social Science field with a strong quantitative element.

Skills

• Expertise designing and implementing social science surveys and key informant interviews in local communities.
• Advanced econometric skills to conduct impact evaluation using counterfactual methods (e.g. matching, diff-in-diff).
• Expertise using structural question modelling and/or path analysis to quantify the mechanisms determining impact.
• Expertise in community-based natural resource management, particularly in coastal areas in SE Asia or Pacific Island Countries
• Proven ability to coordinate a multidisciplinary team of researchers and practitioners across geographic time zones.
• Ability to communicate well, conveying ideas and concepts clearly and effectively to different audiences.
• Excellent organisational and management skills

Experience

The SRF will have extensive experience working with conservation practitioners in international contexts, and coordinating co-production of research strategies and tools for deployment in the field. S/he will be comfortable managing multi-disciplinary research teams, and will have experience leading, motivating, developing and managing the performance of team members. Expertise with community-managed conservation, particularly around fisheries management in the tropical south, would be a plus.

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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.

Job Description:

The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis, design solutioning, conduct evaluation to build state-of-the-art foundational models and develop use cases. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, natural language understanding, multi-modal AI with minimum 4 years of relevant experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Knowledge in ML and Deep learning algorithms, and advanced NLP techniques are necessary

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 Innovation & Enterprise Fellowship Programme (IFP) seeks to grow the pool of deep-tech talent in Singapore with the capabilities to support the commercialisation of deep-tech research and bring nascent technologies to market. Targeting researchers, scientists, and engineers (RSEs), the programme aims to develop industry relevant innovation and entrepreneurial skills through both formal and on-the-job training.

At EDDC, as Singapore’s national platform for drug discovery and development. We are committed to discover and develop novel therapeutics by working collaboratively with both public sector and industry partners to translate innovations from bench to clinic using industry relevant and cutting-edge technology platforms. This includes tackling complex and unmet medical challenges in disease areas such as oncology, fibrosis, infectious and autoimmune diseases. EDDC is now seeking under the IFP programme a highly skilled and motivated Bioinformatics Scientist/Engineer to join the Computational Biology group to drive data-driven discovery of therapeutic targets and clinically relevant biomarkers, achieving wholistic understanding of human disease biology and pathology.

This is an eighteen months on-the-job training programme that requires participation in and supporting cross-functional and collaborative drug discovery projects. By joining EDDC, the IFP candidate will be part of a dynamic, interdisciplinary team geared to enhance and facilitate the drug discovery journey through data harmonization and deconvolution, multimodal data analytics, and advanced machine learning. The role will also leverage strategic partnerships both locally and globally, to adopt a flexible approach in refining and advancing EDDC’s solutions.

Responsibilities:

1. Multimodal data analytics for target, biomarker discovery and MoA elucidation

o Develop and implement computational strategies for integrated analysis across diverse biological datasets, including but not limited to genetics/genomics, transcriptomics (bulk- and single-cell RNAseq) and proteomics data.o Employ state-of-the-art machine learning and AI techniques to uncover patterns in extensive biological datasets, developing predictive models that inform therapeutic strategies.o Collaborate with cross-functional colleagues to drive the data-driven discovery and prioritization of novel therapeutic targets and clinically relevant biomarkers, integrating advanced analytics to elucidate the molecular mechanisms of action.

2. Data Integration and automation

o Evaluate and harmonize multi-dimensional data to ensure data quality and consistency.

o Architect and manage databases for cross-functional biological data from public and proprietary sources.

o Optimise and automate workflows when applicable, streamline data access for researchers to facilitate high-throughput analysis and collaborative research efforts.

3. Collaborative Research and strategic partnerships

o Work closely with experimental biologists, chemists, and other computational biologists to design experiments, analyse results, and communicate findings in scientific reports and presentations.

o Establish and maintain partnerships with leading computational biology, data science, and AI entities both locally and globally, serving as the computational biology liaison to ensure effective communication and alignment of objectives between external partners and EDDC’s internal project teams.

4. Innovation and Continuous Learning

o Stay abreast of the latest developments in bioinformatics, data science, machine learning, and AI as they pertain to drug discovery and development.

o Implement new technologies and methodologies to refine in-house workflows and enhance EDDC’s computational platforms.

Requirements:

• PhD in Computational Biology, Bioinformatics, Computer Science, or a related field, with a strong emphasis on data analytics and machine learning in biological contexts. Minimally 5 years of postdoc experience or equivalent in industry settings.
• Applicants with suitable aptitude, potential and interest in harnessing big-data and advanced analytics for enhancing and accelerating drug discovery.
• Demonstrated experience in multi-omics data analysis (eg. genetics/genomics, bulk and single-cell transcriptomics, proteomics, etc.) and the application of machine learning in biological research.
• Proficiency in software engineering and programming languages such as Python and R, and familiarity with data engineering techniques including cloud-based and on-premises database services, database management systems, APIs and workflow development frameworks.
• Excellent communication and collaboration skills, with experience working independently and in multi-disciplinary teams.
• Keen to learn new techniques and adaptable to changing priorities.
• Proficiency in machine learning and AI methodologies for analysing large-scale biological data, with a proven track record of developing predictive models to guide therapeutic development and strategy is an advantage.
• Industry experience in pharmaceutical or biotech companies is an advantage.

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

The National University of Singapore invites applications for Research Associate in Health Services and Data Science (Project: Development of Natural Language Processing and Item response Theory based systems for Patient Reported Outcome Measurement) in the Centre for Research in Health Systems Performance, Yong Loo Lin School of Medicine.

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based in independent evaluation with the Global Burden of Disease data. The new Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yon Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia. CRiHSP will be composed of a multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators. It will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research.

CRiHSP is collaborating with the Department of Family Medicine (DFM) at NUHS, which was established in 2017 with the aim of supporting the Division of Family Medicine within the Yon Loo Lin School of Medicine of the National University of Singapore (NUS). DFM’s multidisciplinary team of clinicians, researcher, medical educators, and administrators works towards the common goals of achieving achieve excellence in Family Medicine education, research and practice. CRiHSP and DFM also benefit from a significant expansion in related fields and collaborations with the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw See Hock School of Public Health.

Job Description

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and will have access to travel support to disseminate research outcomes at international academic conferences.

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives. Start date is flexible, with the position expected to commence in the first half of 2024.

Purpose of the Post

CRiHSP is hiring a highly motivated and skilled Research Associate to contribute to a research project employing mixed-methods for the development of methods for measuring patient reported outcome measures in the population of Singapore based on the efficient application of Natural Language Processing and Item Response Theory to existing measurement systems working under the project Principal Investigator (PI), CRiHSP Director, Prof Jose M Valderas. The successful candidate will report the Senior Research Fellow responsible for the project. The role provides a rare opportunity to work at the centre of this rapidly evolving field, shaping the future of healthcare and clinical practice.

Main Duties and Responsibilities

The Research Associate will have the following duties:

• Contribution to the management of research activities including grant and IRB/DSRB applications, budgeting, planning and monitoring project timelines and generally support project management and coordination and liasing with internal and external stakeholders
• Conduct literature reviews, including collation and synthesis of the literature
• Support the design and interpretation of quantitative surveys and qualitative interviews and focus groups and collect data
• Contribute to and lead (where appropriate) protocol, manuscript and report timely writing, editing and submission.
• Present work for feedback and dissemination at workshops or conferences locally and/or internationally

The post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

Qualifications

Applicants will be evaluated based on the following selection criteria:

Qualifications

• Masters in Life Sciences, Health & Social Sciences

Experience

• Experience in planning, managing and implementing healthcare-related research projects, from conception to completion, in a University setting (essential).Track record of publishing in international peer-reviewed journals (desirable)
  Demonstrated experience in Natural Language Processing (NLP) and/or Item Response Theory (IRT) methods , or programming languages such as R, Python (desirable)
  Researchers with existing research activities related to developing and using computerized adaptive (CAT) methods are particularly encouraged to apply.
  

Qualifications

Skills and Personal Attributes:

• Strong communication skills in English, both written and spoken (essential)
  Ability to work independently and as part of a multidisciplinary team (essential)
  Highly developed problem-solving skills and adept at managing complex problems (essential)
  Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
  Ability to work with culturally diverse populations (essential)
  

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Prof Jose M Valderas at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees) as well as a cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above.

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty microelectronics technologies at IME. His or her main roles and responsibilities include:

- Develop and support bonding process capabilities, including vacuum bonding, metal-metal bonding, fusion bonding, hybrid bonding, and temporary bonding for MEMS, silicon photonics, and advanced packaging applications.

- Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of wafer-to-wafer and die-to-wafer bonding.

- Participate in discussions with industry partners to align and develop the building blocks required for next generation advanced packaging platforms, including equipment capabilities.

- Participate as team member with process integration teams to actively support bonding process optimization and process troubleshooting for various industry and grant projects.

- Support preparation of competitive grant research project proposals and execution of these projects.

- File patents/know-hows on new development activities.

- Publish research findings in prestigious journals and conferences.

Job Requirement:

- PhD with specialization in Electronic / Microelectronics / Material Engineering / Material Science/ Chemistry / Physics or equivalent.

- Minimum 10 years of experience in wafer bonding technologies, either in an academic or industrial setting.

- Prior hands-on experience in wafer bonding with in-depth technical knowledge in atleast one or more bonding processes and mechanisms (vacuum bonding, metal-metal bonding, fusion bonding, hybrid bonding, temporary bonding) is required.

- Knowledge of MEMS, silicon photonics, or advanced packaging technology platforms is preferred.

- Strong experimental design (DOE) and data analysis skills is preferred

- Good interpersonal skills and strong demonstrated skills in collaborating with internal and external stakeholders.

- At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred

- Good oral and written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

- Self-driven with strong interest in next-generation applications of wafer bonding technologies and industry trends.

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

• Assistance to the coordination of the research activities in the Robots for Humans thrust.

• Assistance to the collaboration with external partners (CHART) and the interactions with users

• Assistance to the management of the workplan, deadlines, reporting, meeting organization.

Qualifications

• Degree in Engineering
• Expertise in project management

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to design and develop a hybrid cloud and edge-based energy management (HCEEM) framework that enables virtual energy trading among distributed energy resources (DERs) and existing utilities, fostering a sustainable and efficient energy ecosystem.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PIs, collaborators, and the research team members to conduct research on DERs and energy management techniques, focusing on the design and development of the HCEEM framework.
• Lead the development of algorithms, models, and methodologies for virtual energy trading among DERs and existing utilities.
• Collaborate with a multidisciplinary team of researchers and engineers to implement and test the HCEEM framework.
• Collect and analyze data from DERs, utilities, and energy markets to evaluate the performance and effectiveness of the framework.
• Publish research findings in reputable journals and present at conferences and workshops.
• Mentor and collaborate with graduate students and junior researchers, providing guidance and support in their research activities.
• Assist in writing grant proposals and securing funding for future research projects.
• Collaborate with industry partners and stakeholders to ensure the practical applicability and relevance of the research outcomes.
• Carry out Risk Assessment, and ensure compliance with Work, Safety, and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Ph.D. in Electrical Power Engineering, Energy Management, or a related field, with a strong research focus on energy management and distributed energy resources. Candidates who have submitted their thesis can apply too.
• Extensive knowledge of energy management techniques, Smart Grid concepts, and virtual energy trading.
• Experience in algorithm development, optimization, and data analysis in the context of energy systems.
• Proficiency in programming languages (e.g., Python, MATLAB) and simulation tools commonly used in energy research.
• Strong analytical and problem-solving skills, with the ability to critically evaluate and interpret research data.
• Excellent written and verbal communication skills, with the ability to publish research findings and present at conferences.
• Proven track record of research publications in reputable journals and conferences.
• Ability to work both independently and collaboratively in a research team environment.
• Prior experience with cloud computing, edge computing, or energy market modeling is advantageous.
• Knowledge of regulatory frameworks and policies related to energy management and DER integration is a plus.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The research staff conducts research in the areas of video analytics for remote pilotage, video compression, advanced sensing techniques, sensor and operation data fusion, data analytics and machine learning algorithms. The primary responsibility of this role is to deliver the program objectives for remote pilotage.

Key Responsibilities:

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.
• Any other duties as assigned

Job Requirements:

• Have relevant competence in the areas of sensing or data analytics or sensor fusion
• Have a degree in electrical, or computer engineering or equivalent.
• Knowledge of programming, video analytics and compression will be advantageous.

Key Competencies:

• Good knowledge in sensing, programming, data analytics.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

Job Description

Preschool / Childcare > Teacher / Kindergarten

• Available for English teaching positions
• Opportunity to grow and room for career developments
• Attractive Remuneration Packages and Staff Benefits
• Monthly Salary ranges from $3,000 to $3,800 (Depending on qualifications and experience)

Job Requirements:

• Possess a relevant Early Childhood Education Diploma / Degree or higher
• Registered and certified with ECDA as L2
• Hard-working / Passionate / Good Team Player / Approachable
• Good Communication and Interpersonal Skills
• Candidates with relevant experience has an advantage
• Fresh graduates are welcome. Teachers with Leadership also feel free to apply.

8mins walk from Clementi MRT. Candidate who are interested may also e-mail to [email protected].

or visit our website at www.nobleland.sg

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Fellow position for the design and execution of intervention trials, in the Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, with an affiliation with the National University Health System (NUHS) Centre for Healthy Longevity. The successful candidate will be responsible for overseeing the planning, execution, and monitoring of intervention trials, with a focus on ensuring compliance with study protocols and regulatory requirements.

The Centre for Healthy Longevity (CHL), one of 6 Centres of Excellence of the National University Health System (NUHS), aims to be a leading institute for geroscience research and translation globally, to be renowned for translating research into practice to improve healthspan.

The Healthy Longevity translational research program in the group of prof Andrea Maier is seeking a full-time research fellow to conduct and monitor geroprotective intervention trials with nutritional supplements in middle aged healthy populations. Experience in human clinical research is required.

Duties and Responsibilities

1. Perform literature reviews on micronutrient levels in middle-aged populations to define the optimal level of micronutrients.
2. Design and develop the protocol for a clinical trial with nutritional supplements in collaboration with principal investigators, data scientists, and other stakeholders.
3. Manage the operational aspects of clinical trials, including participant recruitment, enrollment, monitoring, and data collection.
4. Monitor trial progress, ensuring compliance with Good Clinical Practice (GCP) guidelines and study protocols.
5. Develop and implement strategies to maximize participant engagement, retention, and adherence to study protocols in a decentralized setting.
6. Lead the preparation of regulatory submissions, trial reports, and scientific publications.
7. Development and delivery of training materials for site staff and study team members.
8. Identify new research opportunities and grant applications.

Qualifications

1. A PhD or equivalent advanced degree in a relevant field (e.g., nutrition, public health, epidemiology, clinical research).
2. Experience in clinical trials, experience on decentralized trials is preferred but not essential.
3. Strong understanding of GCP guidelines and other relevant regulatory requirements related to clinical trials.
4. Able to work independently, but also enjoying the work with the team members.
5. Strong attention to detail and ability to manage multiple projects simultaneously.
6. Good interpersonal skills with strong leadership attributes.
7. Good understanding of population nutrition especially micronutrient needs is preferred.
8. Desire to move the Geroscience and Healthy Longevity Medicine field forward and contributing to evidence based interventions.

Formal application

Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of 3 referees).

The Innovation & Enterprise Fellowship Programme (IFP) seeks to grow the pool of deep-tech talent in Singapore with the capabilities to support the commercialisation of deep-tech research and bring nascent technologies to market. Targeting researchers, scientists, and engineers (RSEs), the programme aims to develop industry relevant innovation and entrepreneurial skills through both formal and on-the-job training.

At EDDC, as Singapore’s national platform for drug discovery and development. We are committed to discover and develop novel therapeutics by working collaboratively with both public sector and industry partners to translate innovations from bench to clinic using industry relevant and cutting-edge technology platforms. This includes tackling complex and unmet medical challenges in disease areas such as oncology, fibrosis, infectious and autoimmune diseases. EDDC is now seeking under the IFP programme a highly skilled and motivated Bioinformatics Scientist/Engineer to join the Computational Biology group to drive data-driven discovery of therapeutic targets and clinically relevant biomarkers, achieving wholistic understanding of human disease biology and pathology.

This is an eighteen months on-the-job training programme that requires participation in and supporting cross-functional and collaborative drug discovery projects. By joining EDDC, the IFP candidate will be part of a dynamic, interdisciplinary team geared to enhance and facilitate the drug discovery journey through data harmonization and deconvolution, multimodal data analytics, and advanced machine learning. The role will also leverage strategic partnerships both locally and globally, to adopt a flexible approach in refining and advancing EDDC’s solutions.

Responsibilities:

1. Multimodal data analytics for target, biomarker discovery and MoA elucidation

o Develop and implement computational strategies for integrated analysis across diverse biological datasets, including but not limited to genetics/genomics, transcriptomics (bulk- and single-cell RNAseq) and proteomics data.o Employ state-of-the-art machine learning and AI techniques to uncover patterns in extensive biological datasets, developing predictive models that inform therapeutic strategies.o Collaborate with cross-functional colleagues to drive the data-driven discovery and prioritization of novel therapeutic targets and clinically relevant biomarkers, integrating advanced analytics to elucidate the molecular mechanisms of action.

2. Data Integration and automation

o Evaluate and harmonize multi-dimensional data to ensure data quality and consistency.

o Architect and manage databases for cross-functional biological data from public and proprietary sources.

o Optimise and automate workflows when applicable, streamline data access for researchers to facilitate high-throughput analysis and collaborative research efforts.

3. Collaborative Research and strategic partnerships

o Work closely with experimental biologists, chemists, and other computational biologists to design experiments, analyse results, and communicate findings in scientific reports and presentations.

o Establish and maintain partnerships with leading computational biology, data science, and AI entities both locally and globally, serving as the computational biology liaison to ensure effective communication and alignment of objectives between external partners and EDDC’s internal project teams.

4. Innovation and Continuous Learning

o Stay abreast of the latest developments in bioinformatics, data science, machine learning, and AI as they pertain to drug discovery and development.

o Implement new technologies and methodologies to refine in-house workflows and enhance EDDC’s computational platforms.

Requirements:

• PhD in Computational Biology, Bioinformatics, Computer Science, or a related field, with a strong emphasis on data analytics and machine learning in biological contexts. Minimally 2 years of postdoc experience or equivalent in industry settings.
• Applicants with suitable aptitude, potential and interest in harnessing big-data and advanced analytics for enhancing and accelerating drug discovery.
• Demonstrated experience in multi-omics data analysis (eg. genetics/genomics, bulk and single-cell transcriptomics, proteomics, etc.) and the application of machine learning in biological research.
• Proficiency in software engineering and programming languages such as Python and R, and familiarity with data engineering techniques including cloud-based and on-premises database services, database management systems, APIs and workflow development frameworks.
• Excellent communication and collaboration skills, with experience working independently and in multi-disciplinary teams.
• Keen to learn new techniques and adaptable to changing priorities.
• Proficiency in machine learning and AI methodologies for analysing large-scale biological data, with a proven track record of developing predictive models to guide therapeutic development and strategy is an advantage.
• Industry experience in pharmaceutical or biotech companies is an advantage.

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

The successful candidate will work with Dr Subhroshekhar Ghosh on mathematics of data under a project on Complex structures in Statistical Physics and the Math of Data and Stochastic models with latent symmetries.

The main responsibilities of the position include conducting research.

Qualifications

Qualifications / Discipline: Master’s degree in Mathematics with an emphasis on probability, combinatorics, statistics and machine learning

Skills: Coding skills in R, Strong theoretical and theorem proving abilities and should be familiar with ideas and techniques for mathematical modelling of real world phenomena

Experience: Prior experience with research, including demonstrable completed research projects

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.

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.

This role is ideally suited for those wishing to work in academic or industry research in the financial sector, particularly in the area of quantitative analysis. The responsibilities of the role will include designing and developing smart databases of various unstructured and non-traditional information related to corporate environmental and social impacts.

There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.

Duties and Responsibilities

The successful candidate will be expected to assume the following responsibilities:

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Zhang Weina) and Research Affiliates
• Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
• Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
• Development of data collection and storage framework
• Plan and perform the collection of information from various alternative, non-traditional data sources, along with commercial databases
• Plan and perform quantitative analyses of various corporate disclosure reports and regulatory frameworks, including textual and graphical analysis.
• Plan and perform the development of databases that can be used by researchers throughout the Institute, with accessible interface for external users
• Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
• Manage and coordinate project deliverables, ensuring their quality
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• For Research Fellow position: guide, mentor, and supervise research analysts and associates on the project team
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives

Requirements

• Academic background in the following subjects is preferred: computing, information systems, economics, business, finance, or related disciplines. A bachelor's degree is required, a master's degree in one of these subjects is preferred, with a PhD degree required for the Research Fellow position.
• Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is preferred.
• A thorough knowledge of the research field of quantitative analysis is highly preferred.
• Quantitative and programming skills, including knowledge of textual and graphical analyses, are highly desired.
• Database design and management experience is highly desired.
• Proactive in problem solving.
• Good time management and planning skills with a commitment to delivery.
• Strong project management skills, with ability to manage several projects concurrently.
• Strong delivery management experience, with proven track records in managing and steering projects towards smooth execution and on time delivery.
• Adaptive to change with a positive work attitude.
• Enthusiastic team player who is self-driven, committed, and willing to take initiative.
• Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance project team.
• Strong verbal and interpersonal communication skills, along with written communication skills

Job Summary:

The successful applicant will support the PE teachers in the teaching process in order to attain educational excellence. Demonstrating a positive attitude towards the teaching process, they will communicate, liaise and develop sound relationships with children, teachers, parents and colleagues to enhance learning. They will support PE lessons, and lead groups of children in the swimming pool.

This role reports to Head of Infant School through the Head of PE (Infant School).

Requirements:

• A professional or educational background in PE or sports coaching will be an advantage, with relevant qualifications and at least two years’ experience
• Previous experience of working with children is essential
• Being a confident swimmer is a must, whilst experience in cycling and indoor climbing is advantageous
• Excellent command of English, organisation and communication skills
• Sound Microsoft Office knowledge; proficient computer usage
• Positive, enthusiastic and mature individuals who enjoy working with children and teachers

The school is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment. We will conduct thorough background checks on all successful applicants.

Please refer to “Careers” on our website at www.tts.edu.sg for a detailed job description.

5-day week with school holidays entitlement. Interested applicants, please email with an application letter and detailed resume, stating your current and expected salary, and contact number to [email protected]. In your application, please provide the names and addresses of three people from whom confidential references may be obtained. Please indicate their professional relationship to you.

Closing date for applications is Friday, 12 April 2024

(Only shortlisted applicants will be notified)

CPE Registration No.: 196100114C | Period of Registration: 7 June 2023 to 6 June 2029

Job Summary:

The appointee uses their knowledge of teaching and learning, and the values of the School to contribute to children’s progress in learning through planning organising and creating resources and providing support to the children and their teachers.

The role reports to Head of Infant School through Head of Learning Support (Infant School).

This is a temporary position for 3 months (August to November 2024).

Requirements:

• Minimum Diploma/Degree holder preferably in the relevant discipline
• Minimum 2 years of relevant teaching experience
• Previous experience of working with children is essential, preferably children aged 3 – 7 years old
• Have a very good knowledge and understanding of the UK SEND Code of Practice 2014;
• Excellent command of English, written and verbal communication skills
• Proficient in Microsoft Office Applications and knowledge of iPad is essential
• Positive, enthusiastic and creative individuals who enjoy working with young children, teachers and Teaching and Learning Assistants.

The school is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment. We will conduct thorough background checks on all successful applicants.

Please refer to “Careers” on our website at www.tts.edu.sg for a detailed job description.

5-day week with school holidays entitlement. Interested applicants, please submit an application letter and detailed resume, stating your current and expected salary, date of availability and contact number via the online system at https://careers.tts.edu.sg/careerportal/main.aspx. In your application, please provide the names and addresses of three people from whom confidential references may be obtained. Please indicate their professional relationship to you.

Closing date for applications is Friday, 12 April 2024

(Only shortlisted applicants will be notified)

CPE Registration No.: 196100114C | Period of Registration: 7 June 2023 to 6 June 2029

We are looking for a committed Maths TEACHER (Cambridge A level) to complement our qualified workforce of educators.

Responsibilities:

You will be responsible for preparing and implementing a full educational teaching plan according to the school’s requirements. It will be fundamental to provide knowledge and instruction to students while also helping them develop their personalities and skills.

Specifically:

• Prepare and conduct lessons according to the course syllabus and scheme of work.
• Deliver lessons and provide the necessary supervision to students as a mentor or form teacher.
• Provide necessary supervision to the students, manage the classroom, and address discipline issues.
• Prepare and mark examination papers and assignments.
• Monitor the performance and progress of each student and provide academic counselling.
• Teach students according to their aptitude (Differentiated Teaching)
• Perform Intervention duties: Identify and discuss students’ academic and pastoral needs with parents/academic team/student relations to find a way to help students.
• Attend team meetings and staff development workshops.
• Support scheduled school holistic activities when directed to do so.
• Oversee and advise the assigned non-academic / Co-curricular activities.
• Enable students to attain required proficiency for university admission.
• Collaborate with the team in curriculum development, appraisal system, and project management.
• Perform any other tasks as may be assigned on an ad-hoc basis as needed.
• Achieve assigned key performance indicator target.

THE IDEAL CANDIDATE:

You must be passionate about the job with an ability to reach out to students and create a relationship of mutual trust. You must know how to organize a class and make learning an easy and meaningful process. Your goal is to help cultivate the students’ interest in education and be their dedicated ally in the entire process of learning and development.

SKILL AND EXPERIENCE:

• Bachelor's degree from a recognised university
• ESL Teaching Certifications like CELTA, TESOL, TESL etc are advantageous.
• Knowledge of Further Mathematics is required
• Fluency in Mandarin is preferred but not compulsory.
• Able to speak English with neutral accent.
• Demonstrate ability to teach learners from different proficiency levels across the four components (speaking, reading, listening, and writing)
• Familiarity with international standardized proficiency tests like IELTS, PTE or TOEFL is ideal.
• Ability to inspire students' interest in learning and create a strong affinity with the students.
• Excellent written and verbal communication and interpersonal skills
• Self-motivated, logical thinker, team player

COMPANY DESCRIPTION

Middleton International School (MIS) is part of the EtonHouse International Education Group. More than just an affordable school, Middleton offers high-quality international education, and its close-knit community embraces a truly global teaching and learning community.

An inquiry-driven school, Middleton offers a unique blend of the UK National curricula with Singapore-inspired Maths and Chinese in the primary years through the UK-based IPC (International Primary Curriculum). In the middle years, it offers the IMYC (International Middle Years Curriculum) and the Cambridge IGCSE in the secondary years. Students then move on to taking the UK A-Levels in Grade 11 and 12. Students are also offered integrated specialist programmes, including performing arts, PE and ICT, and co-curricular learning to cater to various interests and talents. MIS is also a leader amongst international schools in offering a well-being programme in collaboration with the contentment foundation in the US.

The academic rigour and strong social-emotional learning equip students with the knowledge and skills to be successful, responsible, and caring global citizens.

RESPONSIBILITIES

As Class Teacher to:

• Respect and value each child's social, cultural and religious background and by example, provide mutual respect and tolerance.
• Share in the management of pastoral care, health, welfare and behaviour of all pupils and in particular, those within your designated class group.
• Undertake the teaching of a class in accordance with the school's agreed policies and guidelines.
• Use a variety of appropriate teaching and caring methods to ensure high quality learning takes place.
• Provide planning documents identifying specific learning objectives, differentiated tasks, special needs, extension and assessment, to the Principal or other authorized officer.
• Maintain professional dialogue with colleagues concerning the children, other colleagues and the school. Treat all information with confidentiality.
• Ensure the provision of equal opportunities for all.
• Encourage children to take pride in their own environment and show respect and concern for others, to the benefit of the school as a caring community.
• Be responsible for all aspects of classroom management eg. Care of equipment with resources well-labelled and accessible. Maintain a tidy, well organised room.
• Create an interesting and lively classroom which promotes independent learning.
• Collaborate with Principal and staff in establishing and developing effective pupil assessment procedures and moderation portfolios. Keep appropriate records of achievement for each child in class and provide reports as necessary.
• Build positive links between yourself and parents of children in your care.
• Guide, motivate and monitor classroom helpers in carrying out their tasks.

As Team Member to:

• Collaborate with staff in long term planning.
• Take corporate responsibility for displays throughout the school.
• Share management and delivery of assemblies.
• Offer and receive advice and guidance on issues which affect the whole school's performance and thos.
• Share your expertise.
• Participate in appraisal procedures and in-service training that provide personal, professional and career development.

• At least 1-2 years of relevant professional teaching experience in early childhood;
• Certified by ECDA in the L2 category
• The candidate should hold a minimum of a Diploma in Early Childhood or Education or equivalent
• Knowledge of or willingness to acquire knowledge of inquiry-based learning is required

Working Location: 20 Harbour Drive, Singapore 117612

COMPANY DESCRIPTION

THKMC was incorporated on 13 October 2011 as a charity to provide multiple social and welfare services to the community at large, and achieved an Institute of Public Character (IPC) status on 18 November 2011. THKMC is the charitable arm of Thye Hua Kwan Moral Society, which lives by the mission To Serve Mankind to help anyone who needs help regardless of their race, religion, colour, language, creed and culture. THKMC today serves more than 70,000 beneficiaries through more than 70 programmes across five Services, which include Disability, Early Intervention for Children, Family, Seniors' Community, and Therapy.

RESPONSIBILITIES

The Early Intervention for Children (EIC) Services helps equip children with motor, communication, social, self-help and cognitive skills. THK EIC involves structuring classes around small groups encompassing early childhood special education, social work and therapy support services to stimulate their adaptive functioning and school readiness skills.

Class Engagement:

• Plan, prepare and carry out an effective routine-based intervention programme for the class to meet every child's IEP
• Work towards functional outcomes of the child through child engagement, embedding of naturalistic strategies, differentiation of prompts, behavioural intervention techniques
• Carry out recommended therapeutic strategies as part of the transdisciplinary team
• Prepare age appropriate teaching resources based on children's interest
• Maintain a respectful learning environment for the children with the practice of positive discipline by treating all children with dignity and respect and allow for individual differences
• Be familiar with and adhere to the programme policies, health and safety regulations and emergency procedures and be ready to implement these if necessary

Working in Teams:

• Supervise and be responsible for Assistant Teachers and Teacher Aides under their respective grouping
• Mentor Assistant Teachers and Teacher Aides in the areas of classroom management, basic teaching strategies, and behavioral intervention techniques
• Meeting with Assistant Teachers and Teacher Aides regularly for allocation of roles in the classroom, brainstorming, planning and preparation of activities and resources.
• Conduct annual performance appraisals for their Teacher Aides
• Participate actively in cluster discussions
• Be involved in at least two event planning
• Buddy new teachers
• Conduct sharing sessions to share the knowledge acquired during external trainings

Management of Processes:

• Maintain timely submission and updates of all required teachingrelated documentation
• Conduct both home and school visits based on needs
• Conduct parents-teachers meetings, pre-cases and case conferences

• Degree or
• Diploma in Early Childhood Teaching/ Early Intervention/ Special Education
• 1 to 3 years experience working with families and children

• Mature, independent, creative, flexible thinking and able to motivate children
• Good people skills
• Able to work independently
• Has strong understanding of the diverse cultures and races
• Has patience, love, passion & commitment in the education of & nurturing young children and empowering the families
• Valid First Aid Certificate
• Keen to develop professionally

JOB DESCRIPTION

· Handle incoming calls from customers regarding inquiries, orders, complaints, and general assistance

· Maintain a professional and courteous manner at all times, ensuring a positive customer experience

· Identify customer needs and recommend appropriate products or services to meet their requirements

· Accurately record customer information, inquiries, and transactions in the company's CRM (Customer Relationship Management) system

· Prepare and maintain call logs, reports, and documentation as required by management

· Share feedback and insights with management to continuously improve customer service and sales strategies

JOB REQUIREMENTS

· Diploma and above

· Previous experience in customer service, sales, or call center roles preferred

· Excellent communication and interpersonal skills

· Strong listening and problem-solving abilities

EA Reg. Number: R21100629

EA License Number: 22C1278

JOB DESCRIPTION

· Assist in managing the end-to-end recruitment process, including job posting, resume screening, scheduling interviews, and conducting reference checks

· Coordinate recruitment activities such as job fairs, campus recruitment, and networking events

· Ensure timely communication with candidates throughout the recruitment process, providing updates and feedback as necessary

· Source and identify qualified candidates through various channels, including job boards, social media, networking, and referrals

· Conduct initial screenings and assessments to evaluate candidate qualifications and fit for specific roles

· Serve as the main point of contact for candidates, addressing inquiries and providing information about the company and job opportunities

· Maintain accurate and up-to-date records of recruitment activities, candidate information, and hiring metrics

· Generate recruitment reports and analytics to track key performance indicators and inform decision-making

· Assist in analyzing recruitment trends and identifying areas for improvement

· Provide support to the recruitment team in various tasks and projects as needed

JOB REQUIREMENTS

· Diploma in Human Resources, Business Administration, or related field

· Strong understanding of recruitment processes, techniques, and best practices

· Excellent communication, interpersonal, and organizational skills

· Entry candidates are welcome, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

JOB DESCRIPTION

· Lead and mentor the marketing team, providing guidance, feedback, and support as needed

· Foster a collaborative and high-performance culture within the marketing department

· Set clear goals and objectives for team members and evaluate performance regularly

· Manage digital marketing channels such as websites, email marketing, social media, and online advertising

· Develop and implement digital marketing campaigns to drive traffic, engagement, and conversions

· Utilize analytics tools to track and analyze website and social media performance, making data-driven decisions

· Oversee the creation of marketing collateral, including brochures, advertisements, and promotional materials

· Plan, coordinate, and execute marketing campaigns across various channels, including digital, print, and social media.

· Monitor campaign performance and analyze key metrics to optimize results and ROI

· Conduct market research and analysis to identify trends, opportunities, and consumer preferences

· Collaborate with cross-functional teams to align marketing initiatives with overall business goals

JOB REQUIREMENTS

· Minimum Diploma and above

· Willing to learn and flexibility to adapt to working environment

· Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278