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.)

Shape the Future of Young Learners!
We are seeking a dynamic Early Childhood English Teacher to join our nature-inspired preschool, located near HortPark, Pasir Panjang.

We offer a unique, air-conditioned environment designed to stimulate learning and creativity through play-based activities.

About the Role:
As an Early Childhood English Teacher, you will support the language development of young children by guiding them through interactive, engaging lessons. You’ll foster a love for learning, nurturing children’s cognitive and emotional growth.

First Konnection – The Authorized Education Recruitment Specialist for this Role

What You Can Expect from Us:

• Streamlined Process: Focus on your passion while we handle the logistics.
• Direct Communication: Receive timely updates and clear guidance.
• Personalized Advice: Leverage our insights to showcase your strengths and secure the role.

What You’ll Do:

• Teach English to young learners in an interactive, play-based setting
• Create fun, hands-on activities that stimulate language learning
• Foster a nurturing, safe, and inclusive environment
• Collaborate with a dedicated teaching team to shape holistic development
• Integrate nature-inspired learning by utilizing our beautiful surroundings

What You Bring:

• Diploma in Early Childhood Care & Education (DECCE-T) or equivalent
• A genuine interest in early childhood education and child development
• Fresh graduates are welcome to apply
• Strong communication skills in English and an ability to work well with young learners
• Enthusiasm for working in a play-based learning environment

How to Apply:
Ready to embark on a meaningful teaching journey? Click the "Apply" button now. We can’t wait to meet you!

EA Registration No.: R23111820 (Ben Chang)
EA Licence No.: 22C1307 (First Konnection Pte. Ltd.)

Job Description & Requirements

This innovative program is known to be well tested, research-based, highly innovative, unorthodox, therefore a successful startup MCM teacher must be musically competent, a fast learner, and a flexible problem solver. Above all, the applicant must demonstrate a steadfast belief in music as an essential part of 21st century education for all children, be willing to learn more about research-based music teaching and learning practices, and be passionate about teaching music to children.

Job Responsibilities:

• To teach the MindChamps Music curriculum to all levels of students in Preschool. PG – K2.
• Teachers will be teaching a comprehensive music literacy curriculum that includes instruction in singing, percussion, keyboards, recorder, and violin (in the upper grades).
• Plan, supervise, and implement the program for the class in accordance with the policies, guidelines, frameworks and philosophy of the centre.
• Address each child’s educational and developmental and keep accurate records of children’s progress through checklists, progress notes, photographs and anecdotal records.

Other adhoc duties might be required as operational needs

Job Requirements:

• Diploma or Professional Certification in Music (ABRSM in Piano, Music Theory, Music)
• Demonstrate musical competency in at least 2 instruments (E.g. Piano, Violin, Ukelele, Guitar, etc)
• Solfege (do-re-mi syllables), Suzuki Violin, Keyboard knowledge will be a plus point.
• Creative and inspiring with loving energy
• Prior experience in classroom teaching.
• Experience teaching music to children.
• Excellent communication and classroom management 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

We are looking for a dedicated and bioinformatics-trained Research Assistant/Research Associate to join our team! If you are passionate about contributing to ground-breaking research and have expertise in bioinformatics and related techniques, we want to hear from you.

Duties & Responsibilities

• Perform bioinformatics analyses related to RNA biology.
• Assist in data processing, storage, and management.
• Apply computational tools to analyze large-scale NGS datasets.
• Contribute to the design and implementation of research protocols.
• Collaborate with team members to publish results in scientific journals.

Qualifications

• Bachelor's or Master’s degree in Bioinformatics, Computational Biology, Genetics, or a related field.
• Experience in RNA biology research or (epi)genomic data analysis is highly desirable.
• Proficiency in programming languages (e.g., Python, R) for data analysis.
• Familiarity with (epi)genomic databases and RNA sequencing data processing tools.
• Strong problem-solving skills and the ability to work both independently and collaboratively.

The candidate is required to research and develop advanced multimodal foundational model, with initial focus on speech and text. The work involves defining and implementing novel deep learning methodologies to achieve state-of-the-art performance for different spoken language tasks. The candidate is also expected to collaborate with other research scientists and engineers to adapt the foundational model to specific use cases. Proficiency in problem-solving, coding, effective communication, and collaborative teamwork is crucial for this role.

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 National University of Singapore invites applications for a Research Assistant in the Department of Paediatrics, Yong Loo Lin School of Medicine. Appointments will be made under a 1-year contract of service in the first instance and may be extended subsequently.

Origins Lab

The overarching aim of the lab is to understand the developmental origins of health and disease (DOHaD) and translate it into meaningful clinical insights. We hope to maximize human potential (neurodevelopment) and prevent the development of obesity/cardiometabolic disease at its root, early in life.

Using data collected from multiple longitudinal birth cohorts, we utilize rigorous statistical methods including growth modelling (mixed effects models, various parametric and non-parametric models, etc.), mixture modelling (quantile g-computation, etc.), causal inference, machine learning, and multi-omics analysis.

We are a newly established lab, providing an inspiring and positive environment which nurtures scientific curiosity and the development of valuable quantitative skills, whether for a career in academia or industry. You will work within the team under Principal Investigator Dr Yi Ying Ong alongside multiple international collaborators and world-class scientists in the field.

We are seeking highly motivated and self-driven candidates interested in child health, have strong analytical skills, and are enthusiastic about learning new skills in data analysis and coding.

Duties and Responsibilities

1. Perform data preparation and visualization
2. Conduct data analysis from study cohorts (with guidance)
3. Create publication-quality tables and figures
4. Complete relevant literature search
5. Draft scientific manuscripts
6. Assist in grant applications
7. Optimization/automation of existing workflows
8. Exploration of novel statistical methods from leading journals

Qualifications

• Bachelor's Degree in quantitative discipline such as data science, bioinformatics, computational biology, life sciences, epidemiology, biostatistics, psychology, statistics, mathematics, computer science, engineering, physics, or related disciplines.
• Proficient in Stata, R, MATLAB or Python
• Good writing skills
• Works well in a team

Remuneration will be commensurate with the candidate's qualifications and experience. Informal enquiries are welcome and should be made to Dr Yi Ying Ong at [email protected]

Formal application: Please submit your application, indicating expected and current salary, supported by a detailed CV (including personal particulars, academic and employment history, list of publications/oral presentations, if any)

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 a Research Associate in the Department of Paediatrics, Yong Loo Lin School of Medicine. Appointments will be made under a 1-year contract of service in the first instance and may be extended subsequently.

Origins Lab

The overarching aim of the lab is to understand the developmental origins of health and disease (DOHaD) and translate it into meaningful clinical insights. We hope to maximize human potential (neurodevelopment) and prevent the development of obesity/cardiometabolic disease at its root, early in life.

Using data collected from multiple longitudinal birth cohorts, we utilize rigorous statistical methods including growth modelling (mixed effects models, various parametric and non-parametric models, etc.), mixture modelling (quantile g-computation, etc.), causal inference, machine learning, and multi-omics analysis.

We are a newly established lab, providing an inspiring and positive environment which nurtures scientific curiosity and the development of valuable quantitative skills, whether for a career in academia or industry. You will work within the team under Principal Investigator Dr Yi Ying Ong alongside multiple international collaborators and world-class scientists in the field.

We are seeking highly motivated and self-driven candidates interested in child health, have strong analytical skills, and are enthusiastic about learning new skills in data analysis and coding.

Duties and Responsibilities

1. Lead high-impact publications (with guidance)
2. Assist in grant applications
3. Optimization/automation of existing workflows
4. Exploration of novel statistical methods from leading journals

Qualifications

• Master's Degree in quantitative discipline such as data science, bioinformatics, computational biology, life sciences, epidemiology, biostatistics, psychology, statistics, mathematics, computer science, engineering, physics, or related disciplines.
• Proficient in Stata, R, MATLAB or Python
• Good writing skills
• Works well in a team

Remuneration will be commensurate with the candidate's qualifications and experience. Informal enquiries are welcome and should be made to Dr Yi Ying Ong at [email protected]

Formal application: Please submit your application, indicating expected and current salary, supported by a detailed CV (including personal particulars, academic and employment history, list of publications/oral presentations, if any)

Only shortlisted candidates will be notified.

At EDDC, our goal is to discover and develop novel therapeutics by working collaboratively with public sector and industry partners. EDDC now has an opening and is seeking to recruit a highly motivated and experienced leader for the Computational Sciences group. The successful candidate will be leading the computational biology and information system groups and providing strategic guidance to the discovery leadership teams and the EDDC management team in leveraging the power of artificial intelligence (AI) and machine learning (ML) to accelerate the drug discovery and development processes, including novel target identification.

Responsibilities:

• Manage a team of software engineers, data engineers, computational biology, bioinformatic, IT professionals, and data scientists to support and contribute to all the discovery projects.
• Drive the implementation of cross-functional data integration & workflow automation aimed at fostering data-driven and AI-driven approaches to drug discovery and validation.
• Lead strategic planning and execution of artificial intelligence (AI)/machine learning (ML) initiatives, with a focus to support AI-augmented drug design and development, addressing 'undruggable’ targets, and expediting processes.
• Cultivate and sustain robust collaborative relationships with various functions within the Discovery unit and across relevant divisions within EDDC.
• Establish, lead and actively contribute to key partnerships with academic and industrial entities within Singapore or globally to enable the smooth access of patient-derived data, support the novel target discovery and evaluation efforts.
• Oversee all IT operation infrastructure, propose strategic solutions and recommend new systems and software.
• Manage all technology systems and applications to support EDDC's goals and objectives

Requirements:

• A Ph.D. in computer science, data sciences, bioinformatics, computational biology, or related fields.
• An MBA is an added advantage.
• A minimum of ten years of leadership experience in the pharma/biotech industry, with a strong background in the application of computational biology and AI/ML to research, translational and clinical programs.
• Domain knowledge in at least one therapeutic area such as oncology, immunology, and inflammation.
• Proven track record of developing and launching industry-grade computational biology software platforms, with demonstrated Key Performance Indicators (KPIs) and pipeline impact.
• Hands-on experience with the AWS cloud platform and relevant certifications is preferred.
• Excellent executive communication, collaboration and leadership skills are essential.
• Sound working knowledge of IT operation, systems, and developments.

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 a Research Fellow in the Department of Paediatrics, Yong Loo Lin School of Medicine. Appointments will be made under a 1-year contract of service in the first instance and may be extended subsequently.

Origins Lab

The overarching aim of the lab is to understand the developmental origins of health and disease (DOHaD) and translate it into meaningful clinical insights. We hope to maximize human potential (neurodevelopment) and prevent the development of obesity/cardiometabolic disease at its root, early in life.

Using data collected from multiple longitudinal birth cohorts, we utilize rigorous statistical methods including growth modelling (mixed effects models, various parametric and non-parametric models, etc.), mixture modelling (quantile g-computation, etc.), causal inference, machine learning, and multi-omics analysis.

We are a newly established lab, providing an inspiring and positive environment which nurtures scientific curiosity and the development of valuable quantitative skills, whether for a career in academia or industry. You will work within the team under Principal Investigator Dr Yi Ying Ong alongside multiple international collaborators and world-class scientists in the field.

We are seeking highly motivated and self-driven candidates interested in child health, have strong analytical skills, and are enthusiastic about learning new skills in data analysis and coding.

Duties and Responsibilities

1. Lead high-impact publications (with guidance)
2. Assist in grant applications
3. Optimization/automation of existing workflows
4. Exploration of novel statistical methods from leading journals

Qualifications

• PhD in quantitative discipline such as data science, bioinformatics, computational biology, life sciences, epidemiology, biostatistics, psychology, statistics, mathematics, computer science, engineering, physics, or related disciplines.
• Proficient in Stata, R, MATLAB, or Python
• Good writing skills
• Works well in a team

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Yi Ying Ong at [email protected]

Formal application: Please submit your application, indicating expected and current salary, supported by a detailed CV (including personal particulars, academic and employment history, list of publications/oral presentations, if any) to:

Only shortlisted candidates will be notified.

The candidate is required to research and develop advanced multimodal foundational model, with initial focus on speech and text. The work involves defining and implementing novel deep learning methodologies to achieve state-of-the-art performance for different spoken language tasks. The candidate is also expected to collaborate with other research scientists and engineers to adapt the foundational model to specific use cases. Proficiency in problem-solving, coding, effective communication, and collaborative teamwork is crucial for this role.

Job Requirement:

• PhDin ML, NLP, speech and spoken language processing and multi-modal AI with at least 5 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
• 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

We are looking for a strong candidate with strong AI background and experiences in audio, speech AI training for industrial projects on audio & speech recognitions.

Key Responsibilities: Work on audio processing, data preparation and multiple model training of multi-language code-switch ASR for projects.

JOB REQUIREMENT

• Has a related B.S degree in Computer Science or Software Engineering.
• Experiences in speech signal processing, speech recognition, in both hybrid models, supervised E2E models, LLMs fine-tuned models and deep learning
• Strong in the following programming languages: Python, Pytorch, C/C++, Linux Bash/Shell
• Knowledge in web-based and app developments for demo systems is advantageous

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

At NUS, we are at the forefront of clean energy innovation, focusing on advanced technologies for sustainable hydrogen production. We are seeking a talented and experienced Membrane Specialist to join our team and contribute to the development of cutting-edge membrane solutions for hydrogen production and separation processes.

Key Responsibilities:

• Design, develop, and optimize membranes for hydrogen separation, purification, and production applications.
• Conduct research on new membrane materials (e.g., polymeric, ceramic, composite) and their application in hydrogen fuel cell and electrolysis systems.
• Oversee membrane testing, characterization (SEM, XRD, FTIR, etc.), and performance evaluations.
• Collaborate with R&D teams to scale up membrane technologies from lab to pilot and industrial scale.
• Provide technical insights into membrane degradation, durability, and efficiency improvements.
• Support cross-functional teams in the integration of membranes into hydrogen production units.
• Stay updated on the latest developments and innovations in membrane technology and hydrogen production.

Qualifications

• Ph.D. in Chemical Engineering, Material Science, or related fields with a focus on membrane technology.
• Proven experience (3+ years) in membrane design and development, specifically for gas separation or hydrogen-related applications.
• Strong understanding of hydrogen production technologies such as water electrolysis, methane reforming, or fuel cells.
• Proficiency in membrane characterization techniques (SEM, TEM, XRD, FTIR, etc.).
• Ability to collaborate effectively in a multidisciplinary team environment.
• Strong analytical, problem-solving, and project management skills.

Deployment

Childcare centre located inside Pasir Panjang Christ Church. Spacious, comfortable environment within a great team.

Responsibilities

• To nurture and develop the children holistically through an engaging and quality curriculum and purposeful play

• To love and make the children feel secure as part of providing the children "a home away from home".

• To take care of the well-being of the children

• To established good rapport and maintain good communications with parents.

Requirements

• Must possess diploma or degree in Early Childhood Education and L2 accreditation by ECDA

• 5 day work week

Please visit our website for details

(www.eshkolvalley.com.sg).

Job Description & Requirements

SALARY DEPENDS ON THE FOLLOWING:

1) NUMBER OF YEARS OF EXPERIENCE

2) TYPE OF EARLY CHILDHOOD CERTIFICATE (ACEY, L1 or L2 etc...)

JOB REQUIREMENTS:

To provide safe and secure environment for children to feel comfortable

· To undertake the teaching and care of a class to ensure high quality learning or care takes place.

· To maintain professional dialogue with colleagues concerning the children, parents other colleagues and the school.

· To be responsible for all aspects of classroom management.

· To observe and use a variety of methods to record children’s holistic development. Keep appropriate records of achievement for each child in class and provide individual child’s portfolios/reports.

· To build positive links between yourself and parents of children under your care.

. Team player/ Positive Attitude

· Possess good interpersonal and communication skills

· Have a passion for children

· Able to work independently as well as in a team

. Teachers must be able to deliver English Language lessons

Job Requirements:

· Must possess at least one of the following Early Childhood certification:-

1. Advanced Certificate in Early Years (ACEY)

2. Higher Certificate in Infant Care (HCIC)

3. Dpt / DPL Certificate (L1 or L2)

L2/L1 Certified English Language Teacher

(DPT/DECC/ACEY Trained)

L2 Certified Chinese LanguageTeacher

(DPT / DECCE - Mandarin Language

· Registered with ECDA as EY1 or EY2 Or L2 or L1

· Good communication and interpersonal skills

· Fresh graduates are welcome

· Able to commence work soon is preferred.

Please call - Cecilia (90690910) or email to [email protected]

Please state expected salary

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Singapore Gastric Cancer Consortium (SGCC) is a translational research group comprising clinicians and scientists working in gastric cancer research. The group aims to solve important clinical questions to improve the care of gastric cancer patients, facilitated by close interaction between clinicians and scientists, and with synergism that enables biologic discoveries in the laboratory to be validated in the clinical setting.

Our research theme, “Bringing Discoveries to Patients” was awarded the Open Fund - Large Collaborative Grant by the National Medical Research Council in 2019. This will spearhead key research projects which include molecular testing for gastric cancer prevention, personalized cancer therapy and treatment, characterization of gastric stem cells, and single cell analysis of gastric cancers.

Duties

• Work with Research Fellow/s in the conducting of clinical research projects
• Processing and molecular analysis of patient blood and tissue samples
• Perform lab-based molecular work according to strict methodologies
• Optimizing and troubleshooting new experimental protocols
• Keep meticulous records of experimental work
• Coordinate laboratory operational activities through managing laboratory and sample inventories, establishing laboratory procedures and organization of laboratory consumables
• Work with Laboratory Safety Lead to ensure laboratory safety and maintain safety documentation and procedures
• Assist Research Manager in grant reports and organizing scientific meetings

Skills

• Meticulous and attention to detail
• Proactive and able to work independently in a corporate as well as laboratory setting
• Work collaboratively with other research groups
• Critical thinking and systematic problem-solving skills
• Strong written and oral communication skills
• Keen interest in scientific literature, keeps up to date with relevant research publications
• Experience in laboratory research and molecular biology techniques will be advantageous.
• Well-organized and able to clearly summarize and present information and data obtained.

Qualifications

Bachelors in Life Sciences/ Biological Science/ Biomedical Science or related fields. Laboratory experience in molecular work (DNA/ RNA prep and protein assays, Next-Gen Sequencing, Pyrosequencing) and tissue culture preferred. Grant or report writing experience and experience of coordinating research projects also are valuable.

We regret that only shortlisted candidates will be contacted.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Singapore Gastric Cancer Consortium (SGCC) is a translational research group comprising clinicians and scientists working in gastric cancer research. The group aims to solve important clinical questions to improve the care of gastric cancer patients, facilitated by close interaction between clinicians and scientists, and with synergism that enables biologic discoveries in the laboratory to be validated in the clinical setting.

Our research theme, “Bringing Discoveries to Patients” was recently awarded the Open Fund - Large Collaborative Grant by the National Medical Research Council. This will spearhead key research projects which include molecular testing for gastric cancer prevention, personalized cancer therapy and treatment, characterization of gastric stem cells, and single cell analysis of gastric cancers.

Duties

• Work with Research Fellow/s in the conducting of clinical research projects
• Processing and molecular analysis of patient blood and tissue samples
• Screening and consenting study subjects
• Optimizing and troubleshooting new experimental protocols
• Keep meticulous records of Case report form (CRF) documentation.
• Data analysis and statistical analysis of the research studies
• Coordinate laboratory operational activities through managing laboratory and sample inventories, establishing laboratory procedures and organization of laboratory consumables
• Work with Laboratory Safety Lead to ensure laboratory safety and maintain safety documentation and procedures
• Assist Research Manager in grant reports and organizing scientific meetings

Skills

• Meticulous and attention to detail
• Proactive and able to work independently in a corporate as well as laboratory setting
• Work collaboratively with other research groups
• Critical thinking and systematic problem-solving skills
• Strong written and oral communication skills
• Keen interest in scientific literature, keeps up to date with relevant research publications
• Experience in laboratory research and molecular biology techniques will be advantageous.
• Well-organized and able to clearly summarize and present information and data obtained.

Qualifications

Bachelors in Nursing / Life Sciences/ Biological Science/ Biomedical Science or related fields. Grant or report writing experience and experience of coordinating research projects also are valuable.

We regret that only shortlisted candidates will be contacted.

JOB DESCRIPTION

We are looking for a strong candidate with strong AI background and experiences in audio, speech AI training for industrial projects on audio & speech recognitions.

Key Responsibilities: Work on audio processing, data preparation and multiple model training of multi-language code-switch ASR for projects.

JOB REQUIREMENT

• Has a related B.S degree in Computer Science or Software Engineering with min 5 years of relevant experience
• Experiences in speech signal processing, speech recognition, in both hybrid models, supervised E2E models, LLMs fine-tuned models and deep learning
• Strong in the following programming languages: Python, Pytorch, C/C++, Linux Bash/Shell
• Knowledge in web-based and app developments for demo systems is advantageous

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 Summary:

The HPC Storage Engineer will be responsible for managing the storage infrastructure within HPC environments. This role involves monitoring storage performance and optimizing through tuning and troubleshooting. Successful candidate with demonstrated experience in the HPC storage field may be considered for a Senior position.

Responsibilities:

Storage administration and optimization

• Work with Managed Services teams in managing and administering the storage infrastructure.
• Ensure storage reliability and availability within HPC system.
• Provide support on technical queries and troubleshooting storage-related issues.
• Implement best practices for storage monitoring and reporting.
• Monitor utilization rate, allocation and analyse the report for capacity planning.
• Conduct storage performance test and analysis.
• Collaborate with other teams for enhancement of storage performance and scalability.
• Develop and maintain comprehensive documentation for HPC storage infrastructure and processes.

Data management

• Create and execute a data placement strategy to optimize storage performance.
• Maintain data protection and disaster recovery strategies.
• Implement and maintain security measures to protect data integrity and prevent unauthorized access.

Designing and planning

• Assess future requirements and plan for storage expansion.
• Assist in the designing of future HPC system acquisition.
• Explore and evaluate emerging solutions in HPC storage technology.

Qualifications:

• Degree in a Computer Science, Engineering, IT or other relevant areas.
• At least 3 years of experience in managing storage infrastructure.
• Proficient in UNIX/Linux environments and command line interface (CLI).
• Good knowledge of HPC storage principles.
• Experience in managing parallel file system (Lustre, GPFS, BeeGFS).
• Good knowledge of RDMA-based interconnect (InfiniBand, RoCE).
• Demonstrate ability to analyse complex issues and develop effective solutions.
• To be considered for Senior position, candidates should have at least 5 years of experience in roles that involve the deployment of HPC storage infrastructure, covering key areas such as designing, installing, configuring, documentation and providing admin/user training.

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

• To organize and implement research plans, development of methods of research, testing and data collection, analysis and evaluation, and report writing.
• Knowledge on gas hydrates or is highly desirable
• To assist the principal supervisor in management of the lab.
• To ensure that all safety guidelines are followed in the research
• To undertake any other duties relevant to the research

Job Requirements

• Master’s Degree and above in Chemical Engineering
• Research experience on gas hydrate and their applications specifically to macro-scale experimental measurements
• To handle high pressure equipment and instruments like PID controllers.
• Knowledge on operation, calibration and analysis of gas chromatography results
• Highly efficient, good communication and oral skills
• Strong ability to work in a multidisciplinary team

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 Electrical and Computer Engineering (ECE) Department at the National University of Singapore (NUS) is seeking qualified applicants for the position of Research Engineer to join our team and contribute to our ongoing research projects related to IC design.

Responsibilities:

• Explore heterogeneous systems with silicon chips being integrated on unconventional substrates such as flexible and stretchable, for ultra-low power always-on and intelligent silicon platforms.
• Work on innovative circuit techniques with very wide power-performance scaling to minimize the system energy while providing targeted levels of performance on demand. Such techniques will be investigated for digital sub-systems in advanced technologies.
• Be responsible to conduct research at the circuit level, defining and validating design options and defining new integrated circuit techniques.

We offer a competitive salary commensurate with qualifications and experience, along with a stimulating research environment and access to state-of-the-art facilities. This is a full-time position with an initial contract duration of 12 months, with potential for renewal based on performance and funding availability.

Qualifications

The candidate must possess:

• Possess a Bachelor/Master’s degree in either Electrical Engineering or strictly related (e.g., Computer, Communication, or Information Engineering).
• Activity performed in multiple research environments and industrial experience are highly valued.
• Expertise on the project scope, ultra-low power always-on and intelligent silicon platforms.
• Knowledge on circuit and system-level chip design is valued.
• Analytical and problem-solving skills.
• Open to fixed term contract.

Job Description

.To assist the HR department in HR activities, including recruitment, onboarding, offboarding, and provide support for events.
Manage application/renewal and cancellation of work passes
To maintain up-to-date and accurate HR documents
To report to HR Manager and carry out HR-related duties
Undertake any adhoc HR duties as assigned

Be able to be independent and fast track

• Prior administrative or industry experience would be advantageous
• To aasist the HR department in HR activities, including recruitment, onboarding, offboarding and provide support for events.
• Manage application/renewal and cancellation of work pass
• To maintain up-to-date HR documents
• To report to HR and carry out HR-Related duties
• Undertake any adhoc HR duties as assigned
• Strong communication & customer service skills
• Good interpersonal skills, able to relate to people from diffrent culture and languages
• Good written and verbal communication skills
• Able to work well independently as well as in a team, multi-tasking and adapt to fast-paced environment, young and energictic and be able to work independently
• Ever work in a child care sertting will be an added advantaged.
• Able to handle confidential information with discretion and integrity
• Salary will depend on the number of years experience

Requirements

Proficiency in Microsoft Office, words and excel

Proficient in HR practices, MOM regulations, and the Employment Act.
Diploma in HR management or a related field.

Location

Tampines Near the Mrt

Please contact Cecilia at 90690910 .

Email resume to : [email protected] and state your expected salary and start date.

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recycling antibody®, sweeping antibody®, bispecific antibody, various Fc engineered antibodies, and other new antibody engineering technologies that are under development.

Position – Research Assistant in Pharmacology (PC1) Unit

Job Scope:

· Tool generation – Expression vector construction and molecular cloning, protein labelling, stable cell line development

· Drug screening – ELISA, Flow cytometry, Cell-based functional assay, Microscopy, SDS-PAGE, Western blotting, qPCR etc.

· Cell culture – Suspension cell culture and adherent cell culture, 3D cell culture models such as spheroid, tumoroids, Primary cell culture.

· Lab management

Requirements:

· Degree in Biomedical Science/Biotechnology/Molecular Biotechnology or a related field with at least 1-2 years of related working experience in either an industry or academia setting.

. Fresh graduates are welcome to apply.

· Familiar with basic laboratory procedures especially mammalian cell culture and In vitro cellular assays.

· Experience in Molecular Biology, 3D cell culture, Cell engineering, Primary cell isolation, Flow cytometry, Microscopy, NGS analysis and other relevant skills will be an added advantage.

· Experience in In vivo sample handling experience is a plus.

Interested applicants are invited to email their detailed resume, qualifications, availability, current and expected salary to: [email protected]

For more information regarding our Company, you may refer to our website at: http://chugai-pharmabody.com/

We regret that only short-listed 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

We have an opening for a Research Fellow (Robotics) in areas related to the control of drone swarms and autonomous vehicles. Specifically, we expect the selected candidate to lead and pursue high-quality research in the broad areas of robotics, e.g., the coordination of drone swarms in complex environments, the control of autonomous vehicles in mixed traffic, etc. In addition to research, the selected candidate is expected to help draft research proposals and supervise graduate and undergraduate students.

Job Requirements

• Possess a Doctoral degree in Mechanical Engineering, Electric Engineering, Computer Science, or other closely related fields.
• Research and hands-on experience in robotics (e.g., drone systems) with excellent publication record
• Good programming and analytical skills
• Expertise in control theory, optimization, game theory, and machine learning is highly preferable
• Good technical proposal writing and presentation skills
• Able to plan and organize well and adhere to the deadline
• Able to perform research in a multidisciplinary team.
• Strong written and spoken communications and able to present results clearly.
• Open to fixed-term contract.

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 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.