Job Descriptions:

• Providing massage services listed in brochure.

• Attending and participating in meetings and training sessions.

• Ensuring clean, safe and well-organized spa facility.

• Setting up spa and work stations, and ensuring cleanliness and tidiness throughout shift.

• Assisting with keeping linens clean and tidy, and replacing them between sessions.

• Sterilizing equipment.

• Accompanying guests to and from treatment rooms.

• Consulting customers to identify appropriate massage services.

• Maintaining records and filing documentation.

• Complying with all applicable standards, rules and regulations.

Working Location:

As Mentioned in the application

Working Hour:

• 8 - 12 hours per day (To be discussed during interview)

• 6 days work week (Including Weekends)

Salary:

• Commission based ($3000- $6000 or more)

Requirements:

• Minimally a secondary education certificate (SPM or N’ levels)

• Singapore Massage Certificate (advantage)

• Experience in providing massage services (advantage)

• Training will be provided for those who do not have experience

Job Description:
We are seeking a highly motivated and experienced R&D Engineer (Applications and Systems) specializing in Sensing Technologies to join our Client's dynamic team. The ideal candidate will play a critical role in bridging the gap between IC design, product development, and customer needs, while driving technical advancements and creating innovative application solutions. This role involves close collaboration with cross-functional teams to develop and implement sensing features, create evaluation kits, and support customer success through documentation and training. If you have a strong background in sensing technologies and a passion for innovation and customer engagement, we’d love to hear from you!

Key Responsibilities:

1. Product Understanding & Technical Collaboration

• Work closely with IC design & product development teams to develop a deep understanding of new products’ characteristics and features.
• Collaborate with R&D teams to architect, design, and implement new sensing features and algorithms that align with products, solutions, or customer requirements.

2. Feature Development & Solution Design

• Design and develop use models and application demonstrations to highlight product features for sales and marketing promotion.
• Create evaluation kits and demonstration kits for new sensing products, ensuring robust testing and documentation to support product performance.

3. Technical Documentation & Support

• Develop comprehensive application notes, white papers, and technical documents to provide information and support to customers.
• Conduct system-level evaluations to validate product functionality and gather data to enhance technical documentation.

4. Internal & Customer Training

• Conduct application training sessions for internal teams on new products and technologies.
• Provide feedback to design & development teams by communicating customer needs, issues, and opportunities that can be leveraged for future product improvements.

5. Cross-Functional Collaboration & Customer Engagement

• Partner with IC design and product development teams to plan and conduct system-level evaluations in support of new product development.
• Act as a technical liaison between the organization and customers, offering technical support and training as needed.
• Develop customer-centric solutions to address specific needs and applications, ensuring high levels of customer satisfaction and success.

Education & Qualifications:

• Bachelor's degree in Electrical, Electronics Engineering, or a related field.

Requirements:

• Minimum 5 years of experience in R&D, Application Engineering, Embedded Systems, or Product Development environments.
• Proficiency in common programming languages, such as C, C#, Python, and familiarity with development platforms like Raspberry Pi, Arduino, or Wireless-SoC.
• Experience with development tools such as IDEs, in-circuit emulators, and oscilloscopes.
• Strong technical knowledge of optoelectronics devices and sensor applications.
• Experience in optical-related testing and characterization is desirable.
• Exposure to machine learning frameworks is a plus.
• Ability to work effectively in a multidisciplinary team environment.

Interested candidates who wish to apply for the advertised position, please click on “Apply”. We regret that only shortlisted candidates will be notified.

EA License No.: 01C4394 (PERSOLKELLY Singapore PTE LTD)

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

Job Descriptions:

• Providing massage services listed in brochure.

• Attending and participating in meetings and training sessions.

• Ensuring clean, safe and well-organized spa facility.

• Setting up spa and work stations, and ensuring cleanliness and tidiness throughout shift.

• Assisting with keeping linens clean and tidy, and replacing them between sessions.

• Sterilizing equipment.

• Accompanying guests to and from treatment rooms.

• Consulting customers to identify appropriate massage services.

• Maintaining records and filing documentation.

• Complying with all applicable standards, rules and regulations.

Working Location:

As Mentioned in the application

Working Hour:

• 8 - 12 hours per day (To be discussed during interview)

• 6 days work week (Including Weekends)

Salary:

• Commission based ($3000- $6000 or more)

Requirements:

• Minimally a secondary education certificate (SPM or N’ levels)

• Singapore Massage Certificate (advantage)

• Experience in providing massage services (advantage)

• Training will be provided for those who do not have experience

Responsibilities

• Develop, standardize, and validate input and design guidelines
• Implement Design Rule Checks (DRC) and handle system registration
• Review prototype development results
• Summarize the outcomes of quality confirmations
• Produce data for process checks
• Develop, update, and oversee design and manufacturing data
• Establish product specifications, set up process flows
• Serve as the primary point of contact for technical inquiries from customers

Requirements

• PhD/ Msc / Bachelor's in Engineering or equivalent
• Min 6 years experience in semiconductor substrate manufacturing
• Experience with CAD/CAM systems, including creating specifications and drawings
• Able to commit to relocate to Japan for training (6-12 month)
• Keen to work in west of Singapore (Tuas)

If you are interested in the position

Please include your availability, expected salary and reason for leaving current job

We regret that only shortlisted candidates will be contacted

EA: 94C3609 / Reg: R1325913

Title : English langauge Tuition teacher
Location: Hougang

Working days & Time: 3 weekdays (3PM-9PM) + Weekend (Both Sat & Sun ; 9AM-6PM)
Salary: $3000 - $3500

Job Responsible:

• Prepare and conduct lessons: Tailor lessons in accordance with our curriculum with a holistic understanding of your student’s learning needs to meet the unique needs and learning styles of individual students.
• Curriculum Development: Work with our curriculum development team to create useful learning materials.
• Motivation: Inspire and motivate students to excel academically and develop a love for learning. Be a role model for your students. Give appropriate advice to students to improve students’ holistic development.
• Communication: Monitor your class progression and provide honest and helpful feedback with suggestions to parents on a regular basis to improve the student’s conduct or academic performance.

Administrative:

• Prepare lesson plans and teaching materials
• Check with students on their exam dates, record students’ test results, evaluate students’ test papers
• Conduct lessons and tutoring sessions.
• Assess and evaluate student performance(Mark papers).Provide feedback to students and parents. (Call parents and update class group chats - teacher’s personal contact would be added)
• Maintain a conducive and disciplined learning environment.
• Stay updated with the latest teaching methods and curriculum changes.
• Assist in curriculum development and improvement.
• Take attendance and arrange makeup lessons for absentees.

Requirement:

• Teaching certification or relevant teaching experience with Singapore MOE syllabus.
• Strong knowledge and passion for the subject(s) you teach.
• Primary post – Min. 'A' level or Diploma
• Secondary post – Min. Bachelor degree

✅The Supreme HR Advisory Pte Ltd EA No: 14c7279

✅SAMUEL SIAW Reg No: R24124745

About Us

Chemigran is transforming agriculture by building an ecosystem that brings cutting-edge technology into the hands of farmers and agribusinesses. Our platform leverages AI, blockchain, geospatial data, and agricultural science to optimize farm productivity, drive sustainability, and create new revenue streams for stakeholders. We are looking for an innovative AI Research Scientist to lead and expand our AI capabilities in agricultural data science and biotechnology.

Job Summary

As an AI Research Scientist (Agriculture/Biotechnology) at Chemigran, you will be responsible for developing and implementing AI models that analyze soil, crop, and environmental data to provide actionable insights for farmers and stakeholders. You will collaborate with agronomists, data engineers, and software developers to create scalable solutions for precision agriculture, sustainable farming, and new revenue opportunities in agriculture.

Key Responsibilities

• Develop AI Models: Create machine learning and deep learning models to analyze complex agricultural datasets, including soil health, crop yield, weather patterns, and environmental conditions.
• Research and Innovation: Conduct applied research in agriculture, biotechnology, and geospatial data analytics to develop new data-driven insights and recommendations for crop management, soil optimization, and sustainable practices.
• Data Analysis and Interpretation: Leverage AI to interpret data from diverse sources, including metagenomics, soil samples, satellite imagery, and climate data, to identify trends and provide predictive insights.
• Collaborate with Domain Experts: Work closely with agronomists, soil scientists, and environmental engineers to ensure AI models are relevant and aligned with agricultural best practices.
• Model Deployment: Collaborate with software engineering and data engineering teams to deploy models into production, ensuring scalability, accuracy, and reliability in real-world applications.
• Stay Updated on Technological Advances: Keep abreast of the latest research in AI, machine learning, and agricultural science, integrating new methodologies into existing models and workflows as appropriate.

Qualifications

• Educational Background: Diploma or degree in Computer Science, AI and machine learning applications, or a related field.
• Experience: Minimum of 2 years of full-time experience working on AI projects, preferably in the agriculture, biotechnology, or environmental sciences sectors.
• Technical Skills:

1. Strong proficiency in Python, R, or similar programming languages.
2. Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
3. Proficiency in data analysis, statistical modeling, and predictive analytics.
4. Experience with geospatial data and satellite imagery is a plus.

• Domain Knowledge: Knowledge of agricultural science, soil health, crop science, or biotechnology is highly preferred.
• Problem-Solving Skills: Strong analytical and problem-solving skills with the ability to translate complex data into clear, actionable insights.
• Communication Skills: Excellent verbal and written communication skills, with the ability to work collaboratively across interdisciplinary teams.

Preferred Qualifications

• Experience with Blockchain or Web3: Familiarity with blockchain technology, particularly in agricultural applications, is a bonus.
• Experience in Sustainable Agriculture: A background or interest in carbon credit systems, sustainable farming practices, and environmental science.

What We Offer

• Impactful Work: Your research will directly contribute to the transformation of global agriculture, enhancing sustainability and productivity for farmers worldwide.
• Collaborative Environment: Work alongside experts in AI, agriculture, and software development.
• Growth Opportunities: Participate in a fast-growing company with opportunities for advancement and professional development.
• Competitive Salary and Benefits: We offer a competitive salary, benefits, and work environment.

How to Apply

Interested candidates are invited to submit their resume, a cover letter detailing their experience in AI applications for agriculture or biotechnology, and any relevant publications or projects to [email protected]

Tuition Teacher (Math, Science & English subject)

Working Days & Hours: Discuss During Interview
Working Location: Alexandra Village
Salary Range: $3000-$3500

Job Responsibilities:

• Teaching students according to the MOE syllabus and curriculum
• Guiding and motivating students to succeed in their academics
• Curriculum development when necessary
• Monitoring of student work
• Following up with and updating parents on their child’s progress

Job Requirement:

• Relevant Experience

Tan Jia Jun | REG No: R23112681

The Supreme HR Advisory Pte Ltd| EA No: 14C7279

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.

Key Responsibilities:

1. Research and Development:Conduct in-depth research on emerging IoT protocols, connectivity solutions, and network infrastructure technologies.
   Design, prototype, and test new networking solutions to optimize IoT device connectivity, reliability, and energy efficiency.
   
2. Network Design and Prototyping:Develop, simulate, and test scalable network architecture for IoT environments, including wireless sensor networks
   Work on integrating IoT-specific protocols and standards within network infrastructure to ensure interoperability and security.
   
3. Testing and Validation:Implement rigorous testing and validation processes for IoT network systems, assessing performance, security, latency, and energy consumption.
   Use simulation tools to evaluate network performance and analyze results to improve network efficiency and reliability.
   
4. Collaboration and Integration:Partner with cross-functional teams, including Product Development, Data Analytics, and Security, to ensure network solutions meet product and market requirements.
   Collaborate with external vendors, industry partners, and standards organizations to remain at the forefront of IoT network innovations.
   
5. Documentation and Technical Reporting:Document R&D findings, technical specifications, and project outcomes.
   Present updates to stakeholders, highlighting advancements and technical insights to support product development.
   
6. Problem Solving and Innovation:Diagnose and troubleshoot network issues in IoT devices and propose innovative solutions to enhance system performance and robustness.
   Continuously assess industry trends to identify new opportunities and optimize network architecture for IoT scalability.
   

Qualifications:

• Education: Bachelor’s or Master’s degree in Electrical Engineering, Telecommunications, Computer Science, or a related field.
• Experience: 3+ years of experience in network infrastructure, IoT, or relevant R&D roles.
• Technical Skills: Strong foundation in network protocols
  Experience with IoT connectivity standards
  Hands-on experience with IoT devices, wireless networks, and edge computing.
  Familiarity with cloud IoT platforms and network simulation tools.
• Analytical Skills: Strong problem-solving skills for optimizing IoT network performance and security.
• Soft Skills: Excellent communication and team collaboration abilities; able to explain complex technical concepts to diverse audiences.

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format to **[email protected]** or please click on “Apply” and provide the below details in your resume.

• Last drawn salary
• Expected salary
• Notice period
• Reason for leaving

We regret only shortlisted candidates will be notified.

Important Note: Creation Consulting HR Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.creationrecruit.com

Creation Consulting HR Pte Ltd

EA License No: 24S2187

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.

Title : English langauge Tuition teacher
Location: Hougang

Working days & Time: 3 weekdays (3PM-9PM) + Weekend (Both Sat & Sun ; 9AM-6PM)
Salary: $3000 - $3500

Job Responsible:

• Prepare and conduct lessons: Tailor lessons in accordance with our curriculum with a holistic understanding of your student’s learning needs to meet the unique needs and learning styles of individual students.
• Curriculum Development: Work with our curriculum development team to create useful learning materials.
• Motivation: Inspire and motivate students to excel academically and develop a love for learning. Be a role model for your students. Give appropriate advice to students to improve students’ holistic development.
• Communication: Monitor your class progression and provide honest and helpful feedback with suggestions to parents on a regular basis to improve the student’s conduct or academic performance.

Administrative:

• Prepare lesson plans and teaching materials
• Check with students on their exam dates, record students’ test results, evaluate students’ test papers
• Conduct lessons and tutoring sessions.
• Assess and evaluate student performance(Mark papers).Provide feedback to students and parents. (Call parents and update class group chats - teacher’s personal contact would be added)
• Maintain a conducive and disciplined learning environment.
• Stay updated with the latest teaching methods and curriculum changes.
• Assist in curriculum development and improvement.
• Take attendance and arrange makeup lessons for absentees.

Requirement:

• Teaching certification or relevant teaching experience with Singapore MOE syllabus.
• Strong knowledge and passion for the subject(s) you teach.
• Primary post – Min. 'A' level or Diploma
• Secondary post – Min. Bachelor degree

✅The Supreme HR Advisory Pte Ltd EA No: 14c7279

✅SAMUEL SIAW Reg No: R24124745

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.

Job Description :

• Partial AR and AP
• AR billing and AP data entry
• Monthly AR and AP reconciliation
• Handle other day to day accounting tasks such as data entry, filing, documentation and etc
• Support admin functions such as order of office supplies
• Assist in any other adhoc assignments

Requirements :

• Minimum Nitec / O Level , with basic accounting knowledge
• Proficient in Microsoft Office
• Knowledge of MYOB/ABSS Accounting Systems will be an advantage
• Responsible, Good interpersonal and communications skills
• Willing to learn attitude

Benefits :

• 5 days week, Monday to Friday 9am to 6pm
• 14 days annual leave
• Variable Bonus
• Medical and Insurance Coverage

# Please submit your application by clicking the APPLY button or email strictly to [email protected].

## Please take note that application sent to any other of our email addresses will not be attended.

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.