About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Salesforce AI Research is looking for outstanding research scientists.Do you want to be at the forefront of a team at Salesforce that is making history? Do you want to research and develop new technology and science that millions of CRM customers will use? Are you excited about working on large-scale Generative AI, Natural Language Processing (NLP), and Deep Learning?At Salesforce, we have launched Einstein GPT, the world’s first Generative AI for CRM, which delivers AI-created content across every sales, service, marketing, commerce, and IT interaction at hyper-scale. With Einstein GPT, Salesforce can transform every customer experience with generative AI.

Research scientists at Salesforce discover new research problems, develop novel models, design careful experiments, and advance the state of the art in AI. The research team is committed to collaboration with the wider research community. At Salesforce AI Research, we innovate by publishing at top academic conferences and filing patents. We embed our research work across Salesforce products for the worlds #1 AI CRM. We gain perspectives from product to research that help guide future directions. We believe that making substantive progress on hard applications can drive and sharpen the research questions we study, and in turn, scientific breakthroughs can spawn entirely new applications. Research scientists have the opportunity to switch between pure and applied research. Check out our website to learn more about the groundbreaking work of the Salesforce AI Research team: https://www.salesforceairesearch.com/

Candidates have a strong background in one or more fields: Natural Language Processing, Large Language Modeling, Reinforcement Learning, or Machine Learning in general.

Responsibilities:

• Own and pursue ambitious, long-term research goals.
• Develop solutions for real-world, large-scale problems.
• As needed lead teams to deliver on more complex pure and applied research projects such as AI for Operational Efficiency and AI for Software

Minimum qualifications:

• Ph.D./Master’s degree in computer science, artificial intelligence, machine learning, or a related technical field.
• Strong publication record in top AI venues like NeurIPS, ICML, ICLR, ACL, EMNLP etc.
• Experience with one or more general-purpose programming languages, including but not limited to C/C++ or Python.
• Experience with one or more deep learning libraries and platforms (e.g., TensorFlow, Jax, or PyTorch).
• Proven ability to implement, operate, and deliver results via innovation at a large scale.

Preferred qualifications:

• 1+ years of full-time industry experience in deep learning research/product.
• Strong experience building and applying machine learning models for business applications.
• Experience training large language models.
• Experience mentoring and advising other researchers.
• Strong programming skills, competitive in ACM-ICPC or other competitions or open source experience is preferred.
• Experience in implementing high-performance and large-scale deep learning systems.
• Thoughtful about AI impacts and ethics.
• Fantastic problem solver; ability to solve problems the world has not solved before.
• Excellent written and spoken communication skills.
• Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams.

Responsibilities:

• Conduct cutting-edge research and development in speech/audio foundation models.
• Research, design, develop, and evaluate generative models.
• Conduct research to integrate Large Language Modeling into speech and audio generation (Neural Tokenizers, Large Language Modeling, etc.).
• Identify key research areas and contribute to innovative speech/audio models.
• Design and curate large-scale, high-quality datasets with multi-team efforts.

Qualifications:

• Major in computer science, mathematics, engineering, a related field, or equivalent professional experience.
• 2+ years of internship or full-time experience in one or more areas of machine learning and deep learning, including but not limited to:Speech/Vocal generation (including text-to-speech, singing-voice-synthesis, prosody transfer, etc.)
  Audio generation (including text-to-music, etc.)
  Large scale speech/audio self-supervised representation learning and foundation models
  Large Language Model pre-training and fine-tuning
• Deep knowledge of deep learning and generative models (Diffusion, Flow Matching, AR Transformer, Mamba, VAE, GAN, etc.).
• Self-driven, innovative, collaborative, with strong communication and presentation skills.

Preferred Qualifications:

• Ability to work collaboratively in fast-paced, startup environment.
• Strong publications in top-tier ML/Speech conferences/journals (e.g., NeurIPS, ICML, ICLR, ICASSP, INTERSPEECH).
• Deep understanding of Large Language Models.
• Familiarity with different variants of diffusion models, such as Flow matching, DDIM, etc.
• Familiarity with large-scale distributed training.
• Knowledge of engineering principles and best practices.
• High proficiency in algorithms and programming; strong coding skills in Python.

Job Description

-Contribute to high-quality research and development work in TCOMS laboratory through physical experiments including:

o design of scaled physical test models, such as maritime vessels, offshore rigs, marine renewable platforms, and aquaculture systems for testing in TCOMS Ocean Basin.

o generation of detailed design, production, assembly, and as-built drawings of test models.

o Work with a team of engineers and technicians on model fabrication and modification, calibration, instrumentation, and experimental setup.

o enhance the measurement of models? behaviour and response by use of appropriate sensors.

o document design processes, methodologies, and results.

o contribute to process enhancements for improved efficiency of research work.

-Perform research in the following areas:

o Offshore hydrodynamics

o Coastal Protection

o Loads, motions and response analysis of Marine & Offshore platforms and floating structures

o Fluid-structure interactions

· Collaborate with internal teams, affiliated research institutes and other relevant stakeholders in proposal preparation and submission.

-Any other duties as assigned by supervisor.

Job Requirements

-Bachelor's/Master's Degree in Civil Engineering, Mechanical Engineering, Marine Engineering, Offshore Engineering, or other related disciplines.

-Preferably 3 years of relevant research/industry experience with competent knowledge in some of the following areas:

o Offshore engineering, marine engineering, hydrodynamics, naval architecture.

-Prior knowledge in the following numerical methods/software/programming languages will be an advantage:

o CAD software such as SolidWorks, Rhino, AutoCAD

o Engineering tools such as WAMIT, SESAM and OrcaFlex

o Programming codes such as Python, MATLAB, or equivalent.

o StarCCM+, OpenFOAM

-Model experiments in wave flumes, wave tank or ocean basin.

-Good interpersonal and communications skills.

-Ability to adapt and work effectively as members of a team.

-Good command of written and spoken language.

-Resourceful and self-driven with a high degree of professional integrity.

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.

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Salesforce AI Research is looking for outstanding research scientists.Do you want to be at the forefront of a team at Salesforce that is making history? Do you want to research and develop new technology and science that millions of CRM customers will use? Are you excited about working on large-scale Generative AI, Natural Language Processing (NLP), and Deep Learning?At Salesforce, we have launched Einstein GPT, the world’s first Generative AI for CRM, which delivers AI-created content across every sales, service, marketing, commerce, and IT interaction at hyper-scale. With Einstein GPT, Salesforce can transform every customer experience with generative AI.

Research scientists at Salesforce discover new research problems, develop novel models, design careful experiments, and advance the state of the art in AI. The research team is committed to collaboration with the wider research community. At Salesforce AI Research, we innovate by publishing at top academic conferences and filing patents. We embed our research work across Salesforce products for the worlds #1 AI CRM. We gain perspectives from product to research that help guide future directions. We believe that making substantive progress on hard applications can drive and sharpen the research questions we study, and in turn, scientific breakthroughs can spawn entirely new applications. Research scientists have the opportunity to switch between pure and applied research. Check out our website to learn more about the groundbreaking work of the Salesforce AI Research team: https://www.salesforceairesearch.com/

Candidates have a strong background in one or more fields: Natural Language Processing, Large Language Modeling, Reinforcement Learning, or Machine Learning in general.

Responsibilities:

• Own and pursue ambitious, long-term research goals.
• Develop solutions for real-world, large-scale problems.
• As needed lead teams to deliver on more complex pure and applied research projects such as AI for Operational Efficiency and AI for Software

Minimum qualifications:

• Ph.D./Master’s degree in computer science, artificial intelligence, machine learning, or a related technical field.
• Strong publication record in top AI venues like NeurIPS, ICML, ICLR, ACL, EMNLP etc.
• Experience with one or more general-purpose programming languages, including but not limited to C/C++ or Python.
• Experience with one or more deep learning libraries and platforms (e.g., TensorFlow, Jax, or PyTorch).
• Proven ability to implement, operate, and deliver results via innovation at a large scale.

Preferred qualifications:

• 1+ years of full-time industry experience in deep learning research/product.
• Strong experience building and applying machine learning models for business applications.
• Experience training large language models.
• Experience mentoring and advising other researchers.
• Strong programming skills, competitive in ACM-ICPC or other competitions or open source experience is preferred.
• Experience in implementing high-performance and large-scale deep learning systems.
• Thoughtful about AI impacts and ethics.
• Fantastic problem solver; ability to solve problems the world has not solved before.
• Excellent written and spoken communication skills.
• Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams.

Please register your profile with us here as we have many 1-1/small group tuition assignments available(fill in form take less than 5 mins):

https://tinyurl.com/TuitionCentreJobRegistration

Level to Teach: Secondary

Subject: Science

Timing: Weekday 430pm/6pm onwards, Weekend 930-430pm (duration can be shorter)

No. of work day: Flexible

No. of hours/week: Flexible

As for work days and hours:

Once agreed/confirm have to commit till the end of academic year (November 2025

Salary: $90-$150/day for 4-6 hours per day or $25-35/hour (negotiable)

Requirements:

• Minimum Qualification 5 GCE O levels credits/ Diploma/ A Levels
• Preferably with 1 of experience in teaching expereince but those without experience are welcome to apply as well as training will be provided.

Minimum commitment: till the end of academic year

Feel free to indicate your availability and which level and subject your are confident in teaching. We have various subjects able to cater for you.

Apart from being Part Time Tutor in our Centre, we are having 1-1 home tuition assignments too. We will be able to share suitable assignments to you once you fill in the form below.

If you are keen, please fill in this short form and shortlisted candidate will be asked for a Zoom interview.

https://tinyurl.com/TuitionCentreJobRegistration

Please register your profile with us here as we have many 1-1/small group tuition assignments available(fill in form take less than 5 mins):

https://tinyurl.com/TuitionCentreJobRegistration

Level to Teach: Secondary

Subject: Science

Timing: Weekday 430pm/6pm onwards, Weekend 930-430pm (duration can be shorter)

No. of work day: Flexible

No. of hours/week: Flexible

As for work days and hours:

Once agreed/confirm have to commit till the end of academic year (November 2025

Salary: $90-$150/day for 4-6 hours per day or $25-35/hour (negotiable)

Requirements:

• Minimum Qualification 5 GCE O levels credits/ Diploma/ A Levels
• Preferably with 1 of experience in teaching expereince but those without experience are welcome to apply as well as training will be provided.

Minimum commitment: till the end of academic year

Feel free to indicate your availability and which level and subject your are confident in teaching. We have various subjects able to cater for you.

Apart from being Part Time Tutor in our Centre, we are having 1-1 home tuition assignments too. We will be able to share suitable assignments to you once you fill in the form below.

If you are keen, please fill in this short form and shortlisted candidate will be asked for a Zoom interview.

https://tinyurl.com/TuitionCentreJobRegistration

Job Purpose:

Assess students’ functional physical development level; planning and implementing appropriate intervention treatment to meet individual student objectives; provide recommendations for accessibility, program development and student placement.

Key Responsibilities:

Evaluation & Assessment

• Assess and identify individual needs of students related to occupational therapy issues and concerns to develop intervention procedures.
• Provide re-assessment, review of goals and progress regularly to track students’ progress
• Evaluate, prescribe and provide provision of adaptive equipment / assistive devices as required by the student(s) to improve function.
• Monitor and evaluate student’s functional abilities and make recommendations regarding student’s suitability to prepare students for work/attachment.
• Collaborate with other disciplines to provide team understanding of student occupational performance strengths and needs.
• Evaluate the student’s ability and formulate the student’s occupational profile through a variety of functional, behavioral, and standardized assessments, skilled observation, checklists, histories, and interviews to gather informative data
• Synthesize evaluation results into a comprehensive written report to facilitate student participation in the educational environment, for program development and evidence-based intervention.
• Develop occupationally based intervention plans based on student needs and evaluation results to support student needs and development.
• Participate in multidisciplinary meetings to review evaluation results, integrate findings with other disciplines, offer recommendations, and develop individual education plans and intervention plans to achieve IEP goals.

Program Planning / Intervention

• Formulate / develop and implement appropriate individualized occupational therapy programs to improve student’s functional performance and skills.
• Design classroom-based programs that integrated with the curriculum to improve student’s functional performance and skills
• Select and prepare functional activities that can be easily modified to match student’s skill and interest thus ensure success.
• Provide classroom and work site modifications to improved student functional performance and skills.
• Conduct home visit to support student treatment needs.
• Provide parent /caregiver support such as home program to encourage continuity of the occupational therapy intervention at home.
• Provide classroom and work site modifications to support treatment needs.
• Assist with aspects of training for students on job-trial and work preparation program to support student functional performance and skills
• Educate student, educational personnel, and family to facilitate skills in areas of occupation as well as health maintenance and safety.

Program Administration and Management

• Maintain clinical and administrative records of students to uphold professional standards and school system policy.
• Manage inventory of therapeutic equipment and assessments, and project needs to support budget planning. Keep proper inventory of all equipment and fixtures with regular updating for accountability.
• Propose and justify budget to manage OT program
• Participate actively in continuing education program within the organization, NCSS and other professional bodies to improve support services.
• Conduct in-house training programs to upgrade the professional knowledge and skills for relevant staff / parents / caregivers / volunteers in the organization to provide professional input to stakeholders.
• Submit monthly report and other related written reports to the executive director and school principal to support strategic operations.
• Review occupational therapy services to make quality improvement and changes.
• Collate and prepare High Need Grants documents.
• Conduct meeting with Allied Professional (AP) staff to review occupational therapy services for quality improvement and makes changes as needed.
• Prepare agenda for AP meeting with the Principal. Vet the minutes of AP assistant taken during AP meeting to track follow up actions and accuracy of report.
• Induct new teacher, volunteer, and teachers on work attachment to help them to understand AP services.

Professional Consultation

• Provide consultation to teachers and other related professional staff to improve students’ functional performance and skills.
• Liaise with various discipline involved in the rehabilitative treatment process. (e.g teachers, parents, principal, school administrator and professional staff to support student needs
• Liaise with various professional disciplines in the rehabilitative treatment process to improve student results.

Professional Growth and Ethics

• Participate in continuing education for professional development to provide practice that is consistent with best practice.
• Use professional literature, evidence based research, and continuing education content to make practice decisions.
• Use professional code of ethics and standards of practice to guide ethical decision making in practice.

Admission and Review

• Conduct screening of applicants for placement in school to support strategic operation.
• Assess the child’s numeracy/literacy skills, behavior, motor skills, and sensory issues to support placement for learning.
• Meet the parents to feedback on classroom observation to provide support services.
• Prepare the screening reports and meet the admission and review committee to discuss the outcomes of the application.
• Attend to walk-in parents and phone inquiries to answer query on admission.
• Attend to MAAP meeting for student placement
• Support teachers in managing students during crisis situation to support student needs.

Job Requirements:

• Degree in Occupational Therapy recognised by the AHPC with 3 to 5 years clinical experience.
• Applicants the relevant qualifications with no working experience are welcomed to apply.
• Interpersonal skills, Classroom management skills, takes Initiative, effective communication, Passionate, Creative, Non-Judgmental
• Relevant work experience with children and young adults with intellectual disability would be an advantage
• Ability to work with minimum supervision
• Valid practising certificate with Allied Health Professional Council (AHPC)
• Strong in verbal and written English

Position title : Vision Software Engineer

Location: Admirality Street
Working Days: 5 Day A Week
Working hours : 9:00am - 6:00pm
Salary : $5000 - $8000 (depends experience)

Job Summary:

We are seeking an experienced Software Engineer to join our team, responsible for
designing, developing, and maintaining software applications for vision systems.

Responsibilities:

• Design and develop PC based automated visual inspection systems for our full range of semiconductor equipment.
• Evaluate and feasibility study on the customer’s vision specifications.
• Responsible to integrate any new vision hardware (camera, frame grabber, etc) onto the vision software.
• Troubleshooting and improve the processing time of the inspection.
• Provide technical support to internal and external customers to fulfill the inspection requirements. Change the vision inspection algorithm to improve the inspection capabilities and its performance.
• Be the key driver for continuous improvement plans for new and existing inspection capabilities.
• Coordinate with customer for any new enquiry with sale personnel if needed.
• Work closely with the vision application and optics team members to produce the best inspection result.
• Build and nurture a culture in engineering organization of harmony, quality, ownership, collaboration, continuous improvement and data-driven decision making.

Requirements:

• BS Science Diploma or higher in electrical and electronic, mechanical, or mechatronics engineering or related technical discipline or equivalent practical.
• Technical troubleshooting experience.
• Minimum 3 years in related field.
• Relevant technical work experience including automation machine system troubleshooting.
• Experience working with end customers.
• Understanding semi-conductor manufacturing process, vision inspection settings, machine software settings and configuration or equivalent practical experience.
• At least 3+ years of experience in software development with C#, WPF, Image Processing , Halcon (bonus)

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

✅SAMUEL SIAW Reg No: R24124745

Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore

The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with a mission to advance biological and biomedical sciences. At SBS, our research spans various areas, including infectious diseases, immunology, neurodegenerative diseases, telomere biology, and genome function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Position Available: Research Associate, Microbiome & Bioinformatics

We are looking for a Research Associate to join the laboratory of Dr Anni Zhang at SBS. This role focuses on a cutting-edge project, “Predicting DNA-Protein Binding to Enhance Bacteria-Based Cancer Therapy Safety and Efficacy.”

Key Responsibilities:

• Collect and analyze bacterial sequencing data.
• Design bioinformatics and statistical models to detect selective sweeps in the gut microbiome.
• Provide guidance on other microbiome-related projects within the lab.
• Other duties as assigned.

Job Requirements

• A Master's degree in Quantitative Biology or a related field, with a focus on bioinformatics.
• Strong communication skills in English - essential for data analysis and communication with stakeholders
• Experience in developing statistical models.
• Strong background in microbiology and mathematics.
• Personal attributes: patient, curious, cooperative, and meticulous.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Interested applicants are invited to apply directly at our NTU Career Portal.

We regret that only shortlisted candidates will be notified.

We are seeking a skilled and experienced scientist to join our dynamic team. The successful candidate will be working in a strong team developing diagnostic product. The role involves collaborating with cross-functional teams, understand the target product profile for the intended use, conducting feasibility studies, verification and validation as well ensuring designs meet technical and regulatory requirements.

Roles and Responsibilities:

• Executing Analytical Validation and Clinical Validation laboratory work
• Executing laboratory work for IVD/RUO product optimization
• Develop protein conjugation capabilities within the protein team.
• Develop protein conjugation workflows which applicable to IVD/RUO product development and scalable for large scale manufacturing
• Documentation of laboratory results as required by DxD Hub QMS and A*STAR
• Support the development of target product profile

Key Requirements:

• Bachelor’s degree in science, Biology or related experiences
• 3 - 5 years laboratory experience
• Knowledgeable in protein conjugation techniques and immunoassays
• Knowledgeable in diagnostics and basic life sciences technologies
• Experience with office management software such as MS office (Excel, Word, PowerPoint)
• Able to communicate effectively, multi-task and able work in a dynamic environment
• Works well as part of a team, yet able to work independently
• Self-driven team player who is able to work in a fast-paced environment
• Work on-site with a cross-functional team

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.

Research Fellow position is immediately available at the Hematopoietic Stem Cell Laboratory located at National Cancer Centre Singapore. The Hematopoietic Stem Cell Laboratory laboratory under Prof William Hwang is looking to for RF who can bring the skillset to the hematopoietic stem cell expansion platform.

Education Qualifications:

- PhD with minimum 2 years of relevant experience with specialisation in stem cell culture.

- Good oral and written English.

Relevant Experence:

- Perform induced pluripotent stem cells (iPSCs), hematopoietic stem cells (HSCs) and/ or mesenchymal stromal cells (MSCs) culture.

- Experience with induced pluripotent stem cells is a plus.

- Experience with cell expansion systems (suspension or adherent types).

- Ability to read, analyse and interpret scientific data and publications.

- Ability to author or review protocols, technical reports and technology transfer documents.

- Ability to define problems, collect data, establish facts, and draw conclusions.

- Able to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow instructions, and comply with company policies.

- Experience in Flow Cytometry, Immunoprecipitation techniques, RNA-seq, 10X genomics, Mass Spectrometry and bioinformatics will be valued.

- Excellent organisational skills.

- Proficient in molecular biology techniques (e.g. DNA and RNA isolation, qRT-PCR, sequence analysis, plasmid cloning, protein analysis and western blot), data analysis (E.g RNA-seq).

- Experience in generation and expansion of iPSC's, T cells, NK cells, HSCs and/or MSCs.

- Immunostaining, microscopy and image analysis (e.g. FISH).

- Experience in handling tissue samples for derivation of cell lines.

- Ensure continuous professional development by keeping up to date with all technical knowledge and skills in line with current best practices.

The following laboratory skills are desirable:

- Stem cell biology and differentiation.

- Transcriptomics, metabolomics and proteomics with advanced bioinformatics analysis.

- Flow cytometry, FACS and high throughput screening analysis.

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

• Fabrication of 2D materials based memristors using mask aligner, electron beam evaporator and shadow masks
• Characterization of 2D materials based memristors using a semi-automatic probe station, semiconductor parameter analyser.
• Characterization at the materials level using SEM, TEM, FIB, XPS, and Raman Spectroscopy.
• Other routinal paperwork related to the correct functioning of the group, including purchases, contract preparation and reimbursements.

Qualifications

• PhD in Materials Science and Engineering plus 3 years postdoc in memrsitors.
• Proficiency in using all the above mentioned machines
• Publications in top journals
• Fluent in English and Chinese language (including read/write) as the candidate is also expected to support applications for funding in collaboration with China (for example, with the NUS - Suzhou Research Institute).

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

For more details, please view https://www.ntu.edu.sg/mse/research.

NTU’s School of Materials Science and Engineering (MSE) seeks a highly skilled and innovative researcher to drive advancements in small molecule electroconversion, with a strategic focus on ammonia. The role involves integrating expertise in computational modeling, machine learning, materials synthesis, and characterization to develop cutting-edge, sustainable solutions in energy systems. This position supports NTU MSE’s mission to lead world-class research that addresses pressing global challenges in energy storage and environmental sustainability. The successful candidate will contribute to high-impact publications and pioneering projects that reinforce NTU’s leadership in transformative research.

Key Responsibilities:

• Conduct research to design and develop advanced electrode materials and catalytic systems for small molecule electroconversion, focusing on ammonia.
• Utilize computational tools, such as Materials Studio, along with machine learning techniques (Python, Matlab), to simulate and optimize material properties and reaction mechanisms.
• Synthesize and characterize materials using advanced techniques, including XRD, Raman spectroscopy, TEM, and XAFS, to evaluate structural stability and performance.
• Perform electrochemical testing and develop protocols to assess catalytic and energy storage efficiency.
• Integrate experimental results with machine/deep learning and theoretical insights to identify and understand new reaction mechanisms.
• Publish findings in high-impact journals and present at international conferences to enhance NTU’s academic reputation.
• Collaborate within multidisciplinary teams to ensure project milestones are met and contribute to the the project research goals.
• Lead and contribute to innovative solutions addressing challenges in electrochemical processes for sustainable energy systems.

Job Requirements:

• Ph.D. in Chemistry, Materials Science, or a closely related field, with a strong focus on electrochemistry, catalysis, or energy materials.
• Expertise in material synthesis, advanced characterization (XRD, Raman, TEM, XAFS), and electrochemical testing methodologies.
• Proficiency in computational modeling tools and machine learning (Python, Matlab) for predictive and analytical purposes.
• Demonstrated research background in designing and optimizing electrode materials and catalytic systems for energy applications.
• Strong publication record with papers in high-impact journals, showcasing significant contributions to material science and electrocatalysis.
• Problem-solving skills with a demonstrated ability to integrate experimental and theoretical approaches to address complex research challenges.
• Familiarity with electrochemical cell assembly/design, testing, and visualization tools (e.g., Photoshop).
• Proven organizational and project management capabilities to deliver impactful and timely research outcomes.

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

Duke-NUS embodies a strategic partnership between Duke University and National University of Singapore (NUS). It works closely with the Singapore Health Services (SingHealth) cluster which is a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education. Together, Duke-NUS and SingHealth form an Academic Medical Centre that comprises a number of academic collaborations.

The Signature Research Programme in Health Services and Systems Research (HSSR) at Duke-NUS is a center of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’s focus is on public health and clinical service innovation in an increasingly complex and connected world.

The selected candidate will work with a health economics team providing qualitative research method support to various research activities. They will be required to conduct interviews, focus groups and relevant qualitative analysis, mainly with patient groups, clinicians and healthcare stakeholders. The activities will be relevant to the evaluation of healthcare interventions and care models, including but not limited to:

• Interview clinicians and patient groups
• Manage protocols development for research projects and IRB applications.
• Develop interview guides, plan and conduct all relevant qualitative data collection activities.
• Use appropriate software to collect, manage and analyse qualitative data.
• Manage transcribing activities.
• Conduct literature reviews to find information for new research ideas.
• Assist in the preparation of evaluation reports for the health economics team.
• Extract data from existing databases and published literature.
• Manage projects from start to end with guidance (i.e. develop research objectives and study design, perform data extraction and data collation, conduct data modelling, perform analysis and engage and collaborate with various stakeholders).
• Assist in drafting research abstracts and manuscripts.
• Assist in the preparation of PowerPoint presentations to various stakeholders.
• Support the secretariat and administrative functions of the health economics team.

Job Requirements

• Master’s Degree in Public Health or other related fields
• Minimum 2 years of working experience in Singapore’s healthcare/ research setting
• Experience in Singapore IRB applications
• Adept at collecting and working with qualitative data.
• Prior experience in various qualitative research methods and health services-related research will be advantageous.
• Proficiency with NVivo would also be an advantage.
• Possess excellent verbal and written communication and interpersonal skills.
• Able to work independently with limited supervision and in a team, with dynamic reporting lines and multiple stakeholders.
• Action-oriented, highly motivated, and target-focused.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A Research Assistant position is open in the research group of Prof. Shuzhi Sam Ge at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Assistant will work closely with the Principal Investigator (PI) on one or more research projects about Robust AI.

Job Description

This project will combine the strengths of machine learning and control theory and consider the complex dependencies among different sensor inputs to build a robust multimodal AI system that can serve safety-critical applications.

The successful candidate is required to:

• To prepare and meet the project deliveries and milestones;
• Conduct research on Robust AI for autonomous vehicles that can ensure the reliable computer vision of autonomous vehicles under adversarial attacks, or Digital Twin development (3D reconstruction, Generation, etc).
• To advance the knowledge, to publish in journals, conferences, or patents;
• To prepare and meet the project deliveries and milestones.

Qualifications

Qualifications

• At least a bachelor's degree and/or master's degree in Computer Science, Engineering, Physics etc, with specialization related to machine learning, computer vision, control science, computer engineering or related field;
• Prior experience in managing project, laboratory or research funding is advantageous;
• Responsible and able to work independently;
• Excellent written and spoken communications;
• Programming skills in one of the programming languages: Python, C/C++, Matlab, etc.
• Open to Fixed Term Contract.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow.

Key Responsibilities:

• Conduct research and development related to AI and Computer Science
• Collect relevant dataset, and conduct experiments to gain insights on project-related research questions
• Presenting research results to collaborators at scientific meetings or producing reports/ publications

Job Requirements:

• PhD in Computer Science or related disciplines
• Good spoken and written English as required for research work
• Strong research ability
• Strong leadership quality
• Good interpersonal skills
• Ability to work well in teams

We regret that only shortlisted candidates will be notified.

We are currently recruiting an Assistant Manager to join the Research Achievements, Impact and Strategic Enhancement (RAISE) Unit at Lee Kong Chian School of Medicine (LKCMedicine).

The Research Achievements, Impact and Strategic Enhancement (RAISE) Unit is a relatively new unit that is established to develop strategies to enhance the research impact, visibility and reputation of the school institutionally, nationally and internationally. It sits within the ambit of the LKCMedicine Research Administration and Support Services Department under the Vice Dean of Research Office. You will be part of a dynamic and trailblazing team at the vanguard of highlighting and reporting on the school’s research impact and achievements. You will also work with other departments including the School Faculty, Finance, Office of Innovation and Enterprise (OIE) and Office of Patient Engagement (OPEN).

Responsibilities:

• Organize and staff research programme meetings including minutes writing
• Liaise and work closely with research programme directors to consolidate the research achievements of each programme for reporting to the School Management, Governing Board and Board of Trustees
• To produce PowerPoint slide decks for high-level corporate presentations, reporting purposes and school-wide communications
• To assist the RAISE Unit in the production of materials for visual communication, including report figures and infographics for presentations and reports
• To consolidate updates and information received by the RAISE Unit such as media releases/publicity, publication updates from Faculty, awards and achievements from Faculty
• Assist with the preparation of Dean’s Management Report (quarterly) and the school annual report
• Monitor and track the budget expenditure of internally funded grants and work together with Principal Investigators / Programme Directors to facilitate budget phasing and expenditure when necessary
• Assist to coordinate the annual budget exercise for research division working closely with different stakeholders to ensure budget marksmanship
• Manage the school internal grants which includes post grant operations such as account creation, budget loading, account closure
• Any ad-hoc tasks where required

Requirements:

• Bachelor Degree / Diploma in Sciences, Business Administration, Media, Arts and Design
• Preferably more than 5 years of related working experience in academic / research / healthcare industry
• Experience in designing visuals, infographics, creating professional and attractive powerpoint slides for management
• Experience in minutes writing and generating minutes in a short time frame
• Proficient in Microsoft Office especially MS Powerpoint, MS Excel
• Proficient in Adobe Photoshop or related software
• Demonstrated ability to build and maintain relationships with diverse stakeholders
• Meticulous, positive attitude, able to multi-task, and work under pressure and tight deadlines
• Resourceful, strong analytical and problem-solving skills and ability to develop new ideas and provide conceptual solutions

This is a 2 years contract appointment.

Please submit your application via https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Novena-Campus-Singapore/Assistant-Manager--Research-Achievements--Impact-and-Strategic-Enhancement--LKCMedicine-_R00018578

The School of Electrical & Electronic Engineering (EEE) invites applications for the position of Research Fellow.

To support the research for the project of “THz metasurfaces”, EEE is seeking to hire a responsible research fellow for the coordination, lab management and assistance of the research project of THz nanophotonics for sensing and imaging applications.

The Research Fellow will work on a project to conduct the research on development of nanophotonic structures for THz applications.

Key Responsibilities:

• Conduct research and develop theoretical models for THz nanophotonics for sensing and imaging applications.
• Apply numerical models, design photonic chips and measurement of the research above.
• Collaborate with interdisciplinary teams and contribute to joint research projects.

Job Requirements:

• PhD in Optical/Device Physics, Electrical Engineering, Materials Science, or a related field with nanophotonics.
• Excellent publication records will be preferred.
• Experience in matlab, MEEP, RCWA and other softwares and algorithms.
• Good understanding of THz sensing and imaging.
• Strong knowledge of optical physics, while experimental experience would be preferred.
• Excellent analytical and problem-solving skills.
• Ability to work independently, manage projects, and meet deadlines.
• Effective communication and presentation skills.
• Attention to detail and commitment to scientific rigor.

We regret that only shortlisted candidates will be notified.

Please PM me on Telegram at @LTSGL or on Whatsapp at 80420291 with Job No J1699. If you are interested, join my telegram channel @LearntogetherSG for more jobs.

At LearnTogether, we prioritize personalized education because every student has unique learning needs. We also focus carefully on the connection and rapport between students and teachers. This attention to detail is why parents, especially high-net-worth families, place their trust in us.

We provide our tutors with personalized, meaningful assignments that not only offer a rewarding teaching experience but also ensure a fair income. Join us to start earning a fair income from $35/h up to $150/h.

Looking for tutors for these tuition centre classes:

Pri 4, Pri 5, Pri 6 -> Science

Sec 2 -> Science

Sec 3, Sec 4 -> Chemistry

Duration: 1.5h per lesson

Time can be slightly negotiable.

Tuesday

Pri 6: Tuesday 5pm-6.30pm

Sec 3: Tuesday 6.30pm-8pm

Sec 4: Tuesday 8pm-9.30pm

Wednesday

Pri 4: Wednesday 4.30pm-6pm

Pri 5: Wednesday 6.30pm-8pm

Friday

Pri 6: Friday 6.30pm-8pm

Sec 2: Friday 8pm-9.30pm

527 Bedok North Street 3, (S)460527 (Bedok Reservoir MRT)

Fees:

Pri 3/4/5: $30/h (2 pax min.) + $5/h per additional pax

Pri 6: $35/h (2 pax min.) + $5/h per additional

Sec1/2: $35/h (2 pax min.) + $5/h per additional pax

Sec 3/4: $40/h (2 pax min.) + $5/h per additional pax

Pay will strictly be based on attendance of the class

Roles and Responsibilities:

- Punctual, dependable, and a positive attitude.

- Good academic results in the subjects you wish to teach.

- Preferably someone with chemistry related degree or background, can be engineering too.

- At least 3 years of experience

- Prefers a full-time tutor who is commited, but part-time is welcomed too.

- Special consideration if tutor can use experiential learning like showing simple experiments to garner interests from students.

- Class starts in Jan 2025.

- Tutors need not teach all classes, tutors can just apply for any one class.

- But will give priority to tutors who can commit entire day of back-to-back lessons.

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Contract Period: 1 Jan 2025 to 31 December 2025. (With option to extend till 31 Dec 2026)

Personnel to be deployed at the following hours:

• Mondays to Friday: 8:00am to 4:00pm, inclusive of 1hr lunch break
• Working hours may be adjusted occasionally, within the 42- hour per week limit, to meet school’s needs
• Service not required on Saturdays, Sundays, Semester 1 and 2 breaks (June and November/December school holidays) and gazetted public holidays.

Job Description:

• Assist teachers in the preparation of teaching materials, laboratory resources, conduct of practical sessions and preparation of worksheets;
• Provide support for programmes run by the department which may include shifting of bulky laboratory items;
• Accompany students on learning journeys;
• Manage inventory of school’s laboratory and science equipment and materials;
• Maintain cleanliness and neatness in the Science Laboratory; and
• Assist in any other duties assigned by the school.

Job Requirements:

• At least 1 year of working experience;

• A pass in English Language at N or O level or its equivalent;

• A pass in Science at N or O level or its equivalent;

• Excellent team-player who is organized, meticulous and with the ability to multi-task;

• Strong communication and interpersonal skills; and

• Preferably to be proficient in Microsoft Office/Word

Interested candidates please submit your resume/CV and include the following details:

1. Full name as per NRIC

2. Residential address (for job matching by location)

3. Minimum expected salary

4. Relevant education/qualification certificates and testimonials

Open to all (including A levels, JC, University Students and Graduates!)

Earn from $50 – $75 per hour, with bonus up to $1200!

*Posting on behalf of Minsitry of Science