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

Position – Senior Scientist in Lead Optimization Unit

CPR is seeking for a scientist with expertise in protein engineering.

Job requirements

The applicant should be highly skilled in at least one of the following areas:

• Strong and proven expertise in structural biology and molecular biology for protein structure/function investigation.
• Advance knowledge in protein and/or antibody engineering, including but not limited to rational or random mutagenesis engineering approach.
• Expertise in protein biochemistry, protein expression, purification, and characterization.
• Strong organizational skills to deal with large amounts of data and excellent communication and collaborative skills, as well as a team player mindset for working with cross-functional multi-disciplinary teams.
• Knowledge and skill of high-throughput system, automation, and/or general scripting language is a plus but not a must.
• Knowledge and skill of cell biology, biophysics or immunology is a plus but not a must.

The applicant must have completed and be awarded with a relevant Ph.D. degree in Biomedical Science/Biochemistry/Chemical Biology/Biotechnology/Information science with 1-2 years of working experience in a related field. In addition, the successful candidates must be able to demonstrate technical expertise in areas which may include molecular biology, cell biology, protein chemistry and protein engineering as evidenced by projects, presentations, or peer-reviewed scientific publications.

As frequent communication and liaison is expected between both the Singapore and Japan office, you should possess an excellent command of both spoken and written Japanese and English languages.

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

We regret that only short-listed candidates will be notified

This position is for a full-time Research Fellow in the Coronavirus Lab led by Assistant Professor Mart Lamers in The Signature Research Programme in Emerging Infectious Diseases (EID). Our team uses cutting-edge technology (e.g. organoids, CRISPR, and single cell omics) to understand coronavirus-host interactions relevant to pandemic potential and pathogenesis.

We welcome applications from candidates with a strong background in Virology, Immunology, Cell Biology or Stem Cell Biology. The candidate is expected to play a critical role in generating and fostering a cutting-edge, interdisciplinary research environment by performing a variety of research under the supervision of the Principal Investigator or his/her designate. The main duties and responsibilities will include but not limited to the following:

• Independently carry out the design and execution of high precision in vitro experiments related to coronavirus biology and (immuno)pathogenesis.
• Interface and network with clinical counterparts and team members to achieve the goals of the project.
• Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for research that could have a considerable influence and impact on the relevant field.
• Provide support for external grant and protocol development, study design and management of research activities.
• Demonstrate and present research output.
• Provide guidance and mentorship to graduate students and research assistants.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Immunology, Vaccinology, Virology, Cell Biology, or Stem Cell Biology or a related biomedical field.
• Willing to be trained to work in a biosafety level 3 containment laboratory. Prior BSL-3 experience would be advantageous.
• Prior experience in immunology, gene editing, stem cell biology, or bioinformatics would be advantageous.
• Possess excellent quantitative, analytical and organisational skills.
• A strong team player who is open-minded, energetic, highly motivated and can work collaboratively in an interdisciplinary team and diverse workforce.
• Commitment to team science.

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 Academy for Healthy Longevity at the Yong Loo Lin School of Medicine, NUS, seeks a Research Assistant/Associate to support an innovative project developing prognostic digital biomarkers of aging using physical activity data from wearable devices. This position will contribute to advancing personalized healthcare through data-driven approaches to risk segment populations to enable health promotion and longevity.

Position Overview

The successful candidate will support the analysis of physical activity data and health outcomes to develop digital biomarkers of aging and risk stratification models. The multidisciplinary team aims to process large-scale physical activity datasets and contribute to the development of an interactive healthcare dashboard. This is a 12-month position with the possibility of extension based on grant funding.

Main Duties and Responsibilities

1. Data Analytics & ProcessingDevelop a plan to process and analyze physical activity data from wearable devices
   Support the development of risk stratification models
   Assist in integrating health outcome records with physical activity data
   Identify a pathway to implement statistical and machine learning techniques for biomarker identification
   Develop plans for validating risk stratification models
2. Planning Technical DevelopmentSupport development plans for the creation of interactive dashboards for data visualization
   Identify data quality control and security protocols
   
3. Research SupportHelp prepare materials for future grant applications
   Assist in preparing research documentation and reports
   Support stakeholder coordination and technical strategy development
   Contribute to research team meetings and discussions
   Any other tasks deemed necessary by the research team
   

Qualifications

1. Education & ExperienceResearch Assistant: Bachelor's degree in Data Science, Bioinformatics, Computer Science, or related field and 1-2 years experience in health data analysis or related field
   Research Associate: Master's degree in Data Science, Bioinformatics, Computer Science, or related field and 1-2 years experience in health data analysis or related field
   
2. Technical SkillsProgramming proficiency in relevant software systems such as Python or R
   Experience with statistical analysis and machine learning
   Experience in data preprocessing and data harmonization
   Familiarity with healthcare data standards
   
3. Professional SkillsStrong analytical and problem-solving abilities
   Excellent attention to detail
   Good project management skills
   Ability to work in a collaborative research environment
   

Benefits

1. Competitive salary commensurate with qualifications
2. Professional development opportunities
3. Access to research computing facilities
4. Health insurance coverage

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 Department of Chemical and Biomolecular Engineering, National University of Singapore, is inviting applications for 1 Research Engineer (RE) position under Associate Professor Sibudjing Kawi’s group. The candidate will work on A*STAR LCERFI research project entitled “Methane Pyrolysis for Hydrogen and Carbon Nanotube Production via Novel Catalytic Membrane Reactor System”.

Qualifications

Master degree in chemistry/chemical engineering in the area of catalysts, inorganic membranes and inorganic membrane reactors for high temperature reactions.

• Proven experience (with good research track record in terms of publications and/or patents) in the field of inorganic hollow fiber membrane synthesis, catalyst synthesis/characterization/testing for hydrocarbon pyrolysis and catalytic membrane reactor design.
• Strong team player skills and the ability to work harmoniously with a diverse workforce.

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

Job Title: Research Fellow in Spatial Epidemiology

Location: Singapore

The Saw Swee Hock School of Public Health at the National University of Singapore (NUS) seeks a highly motivated and skilled Research Fellow to join an interdisciplinary research project on surveillance for zoonotic and vector-borne diseases in changing environments (SENSOR Project). This project focusing on emerging diseases in Borneo and is conducted in collaboration with an international consortium of universities in Malaysia, Singapore and the UK. This position offers the opportunity to work on ground-breaking research projects in the broad areas of environmental change, infectious disease surveillance, spatial epidemiology, machine learning and global health.

Key responsibilities:

• Conduct high quality research in epidemiology, machine learning and/or meta-analyses to identify impacts of environmental change on infectious disease dynamics and design targeted surveillance approaches;
• Develop and implement statistical methods, computational models and/ or machine learning algorithms to analyse environmental and infectious disease data;
• Collaborate with multidisciplinary teams of researchers, including epidemiologists, biologists, environmental scientists and policy makers;
• Present research findings at national and international conferences and publish results in peer-reviewed scientific journals;
• Support design of field studies in collaboration with international partners;
• Assist in the supervision and mentoring of graduate students and junior researchers; and
• Contribute to grant proposals and progress reports for funding agencies.

Qualifications:

• A PhD in a relevant field such as epidemiology, geography, computer science or a related discipline;
• Strong background in any one of machine learning, infectious disease modelling, epidemiology, quantitative environmental science or ecology, remote sensing or a related field;
• Proficiency in programming languages such as R or Python;
• Experience with machine learning or statistical methods applied to public health and/ or environmental challenges;
• Interest in climate and environmental change and infectious disease dynamics;
• Excellent written and verbal communication skills, including presenting complex concepts to diverse audiences;
• Demonstrated ability to work effectively in a multidisciplinary team and independently; and
• Track record of publications in peer-reviewed journals.

Review of applications will begin immediately and continue until the position is filled. The anticipated start date is February 2025, but this is negotiable. The initial appointment will be for one year, with the possibility of renewal based on performance.

NUS is an equal-opportunity employer committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, age, national origin, or disability.

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 seeking highly motivated and talented Research Fellows to join our dynamic research team. The successful candidate will work on cutting-edge projects in fields of advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics. The role includes conducting independent research, collaborating across disciplines, and contributing to high-impact publications in reputable international journals. This position provides an excellent opportunity to develop your expertise in innovative technologies while working in a collaborative and multidisciplinary environment.

Qualifications

• A PhD degree in materials, chemistry, chemical engineering, mechanics, biological engineering, or any related fields.
• Strong expertise in advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics.
• A proven track record of publications in reputable international journals.
• Excellent written and spoken communication skills.
• Strong problem-solving skills, attention to detail, and the ability to work independently.
• A collaborative mindset and the ability to work effectively in a multidisciplinary team.
• Less than 3 years of work experience after obtaining a PhD degree.

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 the position of Research Assistant / Research Engineer in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant / Research Engineer will be responsible for working closely with the Principal Investigator and lab members on topics of “Automation of Threat Detection in Security Operation Centers (SOCs)”. He/she should possess experience or interest in the following research areas:

· Security Information and Event Management (SIEM) system

· Large Language Models

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Good publication record: and
• Experience in research.

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 seeking an enthusiastic PhD. candidate who can perform experiments (e. g., e-beam lithography, photo-lithography, top-down fabrication techniques, design/building optical characterization setups) and numerical simulations (e.g., FDTD, RCWA, and so on).

Qualifications

• Possess a Ph.D. Degree in either Electrical or Mechanical Engineering.
• Qualified experimental, simulations skills.
• Open to Fixed Term Contract

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

SIA-NUS Digital Aviation Lab at the National University of Singapore (NUS) offers an exciting opportunity for a highly motivated Research Engineer (UX Designer/Researcher) within Work Package 4. The work package focuses on developing innovations in the following key strategic areas related to passengers’ inflight experience, mainly in Enhancements to SIA’s Cabin Seat Product Offerings, Novel Features for SIA’s Next Generation Aircraft Cabins for Sleep Improvement and Pushing SIA’s Superior Customer Experience to New Heights with an Advanced Connected Cabin.

The duties and responsibilities for this role includes working collaboratively with a multi-disciplinary team to develop and execute strategies that ensure the successful delivery of project goals outlined in the brief. As a UX Designer, you will be responsible fin supporting the team in developing innovative, desirable, and feasible design solutions and concepts that meet the business needs while bringing customer experiences to greater heights. One of the key role is to conduct research and develop new framework and strategies in new area of interest as identified by the PI.

As a UX Designer/Researcher, your key responsibility will be:

• Support the development of current and new projects.
• Conduct research and develop frameworks in new topics of interest as identify by the PI.
• Develop strategies such as probes, workshops, or teaching platforms to test and develop these frameworks.
• Conduct probes, workshops and teaching activities above.
• Data collections
• Assist PI in collating research material for communication and publication.
• Assist in conducting studies and experiments when necessary.

Requirements

The university values courage and creative, openness and engagement, inclusion and diversity, and respect and integrity. As such, we see the importance of recruiting talent aligned to those values and are looking for a suitable candidate who has:

• Bachelor’s degree in industrial Design, Design, Anthropology, Psychology, Sociology or related disciplines.
• Possess excellent interpersonal and communication skills.
• Strong organizational skills. Ability to manage projects with various stakeholders.
• Am comfortable in working within a self-directed culture and navigating ambiguity.
• Previously worked in projects related to delivering better customer experience or UI/UX experience is a plus.
• Proficient with prototyping software such as Figma, Adobe XD. Ability to CAD and handle 3D prototype is a bonus.
• Ability to conduct secondary research. Ability to analyze and syntheses research materials.
• Good writing and presentation skills.
• Openness to critique from other disciplines.
• Have empathy and curiosity for how great brands, businesses and organization navigate innovation and design.
• Experience with unique and novel research tools, methods of uncovering key insights, and proposing of new concepts.

Recipient of the esteemed International Translational Neuroscience Award, Dr. Yan, a pioneer in Brain Tumor research, joins IMCB to establish the NeuroPhenomics Lab. This lab marks a new chapter in our quest for profound biological insights and their translation into biomarkers and therapies.

The lab"s mission revolves around a profound exploration of brain tumor biology, particularly focusing on key driver mutations like IDH1 and IDH2. These mutations, significant in the development of aggressive malignant gliomas, are pivotal in altering chromatin and genome methylation, thus influencing tumor evolution. The lab extends this research by identifying other genetic alterations with potential clinical relevance.

Dedicated to exploring new frontiers, the NeuroPhenomics Lab integrates advanced techniques in genetics, epigenetics, and metabolomics at both single-cell and spatial levels. This approach allows for a detailed examination of tumor cell diversity and their interactions within the microenvironment. The lab also investigates neurometabolism, emphasizing the TCA cycle and IDH enzymes, and studies how metabolites affect the brain and tumor progression.

Aiming to bridge research and clinical application, the lab"s multi-dimensional strategy includes iPSCs, patient-derived organoids, transgenic models, and advanced imaging technologies. This positions the NeuroPhenomics Lab at the forefront of developing transformative therapies in neurooncology and neurometabolism.

Key Qualifications:

• Ph.D. with experienced individuals in a related field, with a research focus.
• Experience in any of the following areas:
  • Cancer Biology or Cancer Immunology
  • Single-cell sequencing and spatial-omics data
  • Computational structural biology and protein design
  • Developing generative AI models
  • Computer-aided drug discovery
• Exceptional analytical, technical, and problem-solving skills
• Ability to work independently and thrive in a dynamic team environment

We look forward to welcoming you to our team and driving forward groundbreaking research in brain tumor genomics.

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 seeking highly motivated and talented Research Fellows to join our dynamic research team. The successful candidate will work on cutting-edge projects in fields of advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics. The role includes conducting independent research, collaborating across disciplines, and contributing to high-impact publications in reputable international journals. This position provides an excellent opportunity to develop your expertise in innovative technologies while working in a collaborative and multidisciplinary environment.

Qualifications

• A PhD degree in materials, chemistry, chemical engineering, mechanics, biological engineering, or any related fields.
• Strong expertise in advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics.
• A proven track record of publications in reputable international journals.
• Excellent written and spoken communication skills.
• Strong problem-solving skills, attention to detail, and the ability to work independently.
• A collaborative mindset and the ability to work effectively in a multidisciplinary team.
• Less than 3 years of work experience after obtaining a PhD degree.

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 aim to develop advanced AI models for creating cardiac digital twins, i.e., personalized virtual heart models. We will employ the dataset (imaging, ECG, electronic medical records, etc) collected from patients, to accurately modelling the anatomy and simulate the function of patients' diseased hearts. These models, coupled with machine learning techniques, contribute to the identification of crucial mechanistic relationships and features that offer insights into the trajectory of a patient's heart condition. The research will delve into the intersection of AI and cardiac sciences, exploring novel approaches to revolutionize our understanding of the human heart. With the potential to impact medical treatments and technology advancements, it promises an exciting and important avenue for personalized medicine. We will collaborate with a multi-disciplinary team, including academics/ experts from NUS, University of Oxford, University of Southampton, Imperial College London, Fudan University, etc.

The selected Research Assistant will be required to:

• Collect, preprocess, and analyze clinical data.
• Develop neural surrogate model for efficient cardiac simulation.
• Write well-documented code for experiments, ensuring reproducibility and efficiency.
• Write and submit research articles to top-tier peer-reviewed journals and conferences.

Qualifications

• Possess a recognised bachelor’s degree in biomedical engineering, computer science, data science, applied statistics/ mathematics, or any-related field.
• Strong problem-solving abilities and learning capability.
• Proficiency in programming (Python, C++, etc)
• Strong written and spoken communication and comprehension and able to present results clearly.
• First-authored relative publication in top-tier journals and conferences are preferred.
• Being self-motivated and enthusiastic about AI for healthcare.
• Open to fixed-term contract.

JOB DESCRIPTION

We are seeking to recruit a highly motivated Research Fellow to investigate the rules in cancer antigen discovery, towards therapeutic and preventive therapy. Project involves mass spectrometry, immunology and computation. The ideal candidate need not specialise in all three aspects, but should be technically strong in at least one of these areas.

JOB REQUIREMENT

• Ph.D. in Immunology or Cell Biology or Biochemistry or Mass Spectrometry.
• Expertise in T-cell engineering highly preferred.
• Interested in data and computation.
• Solid publication record and strong scientific writing skills.
• Strong motivation and energy to lead project.
• Good organisational, verbal and interpersonal skills.
• Need to be a team player.
• Keen to learn

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.

A Research Officer position is immediately available at the Stem Cells and Diabetes Laboratory. Dr Adrian Teo's laboratory is interested in leveraging on stem cell technology to study mechanisms underlying diabetes and metabolic diseases. Reference: www.adrianteolab.com.

Qualifications / Requirements:

• Degree in Biological Science and Life Science disciplines or equivalent
• Deep commitment and interest in research, demonstrated from previous research experience
• Minimum 6 months prior research experience in the Biomedical field
• Experience with mammalian cell culture and molecular biology techniques
• Experience with animal work and surgical techniques
• Experience with mammalian stem cell work will be valued
• Excellent organizational and interpersonal skills
• Highly motivated, passion for science, committed to laboratory work and able to work flexible hours
• Ability to multitask, work independently and also as part of a team
• Excellent communication (verbal and written) and presentation skills
• Experience in Flow Cytometry, Immunoprecipitation techniques, RNA-seq, Mass Spectrometry and bioinformatics will be valued

Interested candidates are invited to send a brief cover letter detailing research motivation, curriculum vitae, and the names and email addresses of referees.

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

• Daily operational tasks such as subject recruitment, data collection, sample collection, processing and storage.
• Follow up with research subjects for research visits
• Assist PI with research meeting and collaboration
• Assist PI with databases creation and data entry
• Assist PI with ethics application
• To perform other related duties, incidental to the work described herein.

Qualifications

• Bachelor’s Degree in Nursing or relevant
• Excellent writing and communication skills in English
• Highly organized and able to work effectively under pressure, use independent judgement, and produce a quality work product within tight time constraints
• Ability to work in a multidisciplinary team

1. Cover letter highlighting relevant experience and career goals
2. Curriculum Vitae, containing details of three named referees
3. A complete NUS Personal Data Consent for Job Applicants (the form is available at NUS Personal Data Consent for Job Applicants)

Please note that only shortlisted candidates will be contacted.

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: Primary /Secondary

Subject: English

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

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

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.

Overview

The Department of Computer Science at the National University of Singapore is seeking a Postdoctoral Research Fellow (RF) or Senior Research Fellow (SRF) specializing in the areas of multimedia forensics and digital trust enhancement. This project focuses on the development of advanced solutions for detecting forged images, ensuring audio-video consistency, and enhancing multimodal identity verification.

The project combines expertise in deep learning, multimedia analysis, and security to create systems capable of operating in real-world environments while addressing the challenges of digital impersonation and media manipulations. Candidates will be selected based on their research ability and previous experience in fields relevant to digital security and multimedia forensics. Applicants are expected to have a robust technical background acquired during their PhD studies.

The multimedia security group at NUS offers a dynamic and supportive research environment, ideal for individuals keen on contributing both theoretically and practically to the field of digital security.

Job Description

• Contribute to research initiatives by developing and validating algorithms for audio-video synchronization and identity verification.
• Supervise the integration of these technologies into a cohesive system to enhance multimedia content security.
• Publish findings in high-impact journals and present at international conferences

Qualifications

• Completed all requirements for a PhD degree.
• The candidate’s track record in publication, and strengths as an independent researcher are valued.
• Expertise in advanced signal processing techniques, computer vision algorithms, or AI-based synthetic media detection is strongly preferred. If the candidate has demonstrated experience in multimedia forensics, especially in detecting deepfakes or manipulated audio/video content, this will be considered favorable.
• Committed to full-time employment at NUS, Singapore.
• Preference to candidates with strong research background relevant for the project, determined via interviews.

How To Apply
If interested, please send your resume including a cover letter, CV, and a brief statement of your work undertaken in previous positions. The initial term of appointment will be 1 year, extensible to 1 more year upon review of satisfactory performance. Selected candidates will be offered competitive salaries and benefits.

NUS is a reputed world-class university that provides an outstanding and supportive research environment. Its School of Computing is highly ranked (within the top 15) among the computing departments of the world.

Singapore is a vibrant, well-connected city with low taxes and research hub in Asia.

Responsibilities:

- Deliver dynamic, clear, and engaging lessons based on lesson plans.

- Develop lesson plans and resources to support students’ academic success.

- Build strong relationships with both students and parents.

- Provide timely feedback to help students reach their full potential.

Requirements:

- At least a bachelor’s degree or equivalent.

- Up to date with latest MOE syllabus.

- Able to customize teaching materials for different learning levels.

- A dynamic and approachable personality.

- Strong communication and teamwork skills.

- Passion for teaching and helping students succeed.

- Candidate must be able to work on weekdays evenings, weekends.

- Candidate with teaching experience will be advantageous.

Benefits

1. AWS + Performance bonus.

2. Enjoys insurance and medical subsidy, annual leaves, medical leaves.

3. Flexible working culture.

4. Career growth opportunities & Staff incentive.

5. Part time teachers will depend on past experience.

6. Children of the Company's full-time teachers are eligible for a waiver of tuition fees.

Working hour

5.5 days/44 hours per week.

Any interested please:

Email: [email protected] Or WhatsApp: +65 97591599 (Ms Jessy)

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: Primary

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 at least 6 months or till the end of academic year.

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

Primary Responsibility

•Defining requirements for exercise and health-tech projects.

•Assist in Project Management.

•Developing exercises for the elderly consumers.

•Developing health-tech product for elderly consumers.

•Perform data analytics for efficacy of intervention methods.

Secondary Responsibility

•Assist in designing and collaboration with sports science researchers.

•Assist in designing and collaboration with health-tech researchers.

Requirement

•Sports Science degree of diploma.

•Familiar with running projects and exercise programs. Preferably for elderly subjects.

•Must have interest in a total system development.

•Problem solving skillset is a must.

Benefits

•Work in a dynamic pace and product rich environment.

•Able to work with and experience best-of-breed software design and implement experts.

•Abundance of deep-tech learning experience.

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 the position of Research Associate in the Department of Computer Science, School of Computing (SoC). The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building largescale experimental systems and improving the wellbeing of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Associate will be responsible for working closely with the Principal Investigator on one or more research projects. He/she should possess relevant experience in Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

• Master’s degree in Computer Science or related field
• At least 2 years of research experience
• Excellent programming skills

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a full-time (42 hours per week) Research Fellow for 36 months appointment to commence in Feb/Mar 2025 or as soon as possible.

The project is to conduct research on how the acoustic environment of a room affects and facilitates teaching pedagogy. The focus will be on optimizing architectural design to improve speech intelligibility. The study will also investigate sound reinforcement systems to enhance the speech intelligibility.

The proposed research project includes several actual social science, architectural and engineering difficulties, from building design to the integration of technologies, human perception and material science. The research fellow is responsible for data analysis, laboratory-testing and field-testing within the project period

Qualifications

Professional requirements:

• PhD (or equivalent) in acoustics (preferred specialisation: Architectural acoustics) or related discipline.
• Essential are demonstrated knowledge related to acoustic modelling, signal processing, and speech Intelligibility.
• Essential are demonstrated excellent data analytic skills, ideally with machine learning.
• Essential is the ability to design and run listening experiments.

Other general requirements:

• Essential is a demonstrated ability to undertake high quality academic research with limited supervision.
• Essential are outstanding academic writing skills, as demonstrated by a strong track record of publications relative to opportunity.
• Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
• Evidence of highly developed interpersonal skills.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This postdoctoral position is focused on the development of a novel 3D-printed bone implant utilizing natural. The goal is to create a bone substitute that can be customized to patient-specific anatomy and effectively integrate with native bone tissue. The successful candidate will be responsible for leading research activities in material formulation, 3D printing process optimization, and in vitro/in vivo validation of the implant prototype. This is a 1-year Research Fellow position with the possibility of extension.

Qualifications

• Ph.D. in biomedical engineering, mechanical engineering, materials science, or a related field

• Expertise in biomaterial design, 3D printing technologies, and tissue engineering

• Demonstrated experience in material characterization and in vitro cell culture

• Strong publication record

• Excellent English written and oral communication skills

• Team player, able to work collaboratively in a team environment

Job Description:

• To lead, coordinate and work with cross functional teams such as tools suppliers, equipment engineers, process engineers, facility engineers, environment health and safety officer, contractors for tool placement plan.
• To participate in the evaluation, planning and supervision of projects including testing and commissioning.
• To provide support for new chemical and gas evaluations. Plan and execute specialty gas system release/unhooking up.
• To carry out overall cleanroom capacity modelling and planning, work with manufacturing, process and equipment engineering to ensure requirement is met.
• To review capacity model, understanding the constraints and re-lay the equipment layout in the cleanroom to maximise the cleanroom space usage.
• Management of contractor?s services to ensure fulfilment of contracts terms and agreements.
• Identify opportunities for innovation that are relevant and appropriate to the company business objectives
• To review capital and cashflow requirements, driving activities to improve capital efficiency and reduce cost.

Requirements:

• Degree, Diploma in Engineering (Chemical, Mechanical, Electrical/Electronic, Building Management) or equivalent.
• Degree with 3 years and Diploma with 5 years related experience in
• Manufacturing of Semiconductor, Wafer Fab.
• Able to work in fast-paced environment, proactive and able to work independently with minimum supervision, self-driven and self-motivate to get job done.
• Able to work in a manufacturing, production, cleanroom environment.
• Technical knowledge in Facilities Support System such as ACMV, HVAC, Scrubber, Electrical, Compressed Dry Air, Nitrogen, Hydrogen, Process Cooling Water, Ultra-Pure Warter, Chilled Water, Wastewater Treatment etc.
• Possess Project Management skills.
• Strong understanding of building codes, HSE laws, regulations and best practices and the ability to interpret/translate these into compliance activities
• Proficient in utilizing Excel, Power Point, Project, Word & Visio, AutoCAD.

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Prof. Somin Park on next-generation optoelectronics under a project on start-up grant.

Our group is looking for candidates with a background in material synthesis (organic synthesis, polymer chemistry), photoelectron spectroscopy, photophysical characterization, or practical experience in optoelectronic applications. The ideal candidate will have the opportunity to develop and lead their own research projects while collaborating with interdisciplinary teams worldwide and providing mentorship to fellow team members.

The main responsibilities of the position include:

• Design and optimize materials for various optoelectronic applications
• Conduct electrical photophysical characterizations
• Mentor and supervise graduate students and research assistants working on related projects

Qualifications:

- A PhD in Chemistry, Physics, Materials Science and Engineering, Chemical Engineering, or related fields
- Strong publication record in peer-reviewed journals

Skills:
- Material design, characterizations
- Good communication skills, both written and verbal in English

Experience:
- Material synthesis, advanced characterizations, and practical experience in optoelectronic applications