NTI-NTU Corporate Laboratory is a collaboration between Nanofilm Technologies International Limited (“Nanofilm”, “NTI”), Nanyang Technological University (“NTU”) and supported by Singapore under RIE2025. The Laboratory’s objective is to propel Innovation and Technologies commercialisation through NTU’s innovation and NTI’s deep technology. NTI-NTU Corporate Laboratory aligns with Singapore’s RIE2025 handbook – which emphasises the nation’s commitment to research and innovation, aiming to drive economic growth and address national challenges.

The Nanyang Technological University NTI-NTU Corporate Laboratory is seeking to hire a Research Associate. The selected candidate will innovate technologies on metalens and other related devices and products.

Key Responsibilities:

• Development of microfabrication process for metalens and related devices using cleanroom facilities,
• Working in cleanroom environment and usage of facilities such as SEM, EBL, etc.
• Characterization of metalens and related devices
• Project planning and progress reporting

Job Requirements:

• Masters degree in relevant Engineering or Science discipline.
• At least 3 years of working experience in microfabrication (processing).
• Familiarity with cleanroom facilities and processing
• Basic knowledge on device characterization
• Good interpersonal skills with ability to work independently and also in a team environment.

We regret that only shortlisted candidates will be notified.

Highlights

• Programme: Maths, Science
• Target Student: Age Group 5 – 12
• 5days work (off day on weekdays)

Main Responsibilities

• Prepare and deliver engaging lessons in accordance with the enrichment centre’s curriculum.
• Create a positive and supportive learning environment that encourages student participation and promotes creativity.
• Establish and maintain good relationships with students and parents; provide regular updates to parents on students’ performance and progress
• Collaborate with colleagues & assistant to enhance curriculum development and teaching methods.
• Maintain accurate records of students’ attendance, performance, and achievements.
• Attend staff meetings, training sessions, and other professional development activities provide & collaborate with Japan HQ as required.
• Ensure centre management and the safety and well-being of all students.
• Perform all administrative and other duties as assigned.

Requirements

• Bachelor’s degree in Education/ Teacher Certificate, Diploma or other Teacher Accreditation courses and certification, or relevant field.
• Prior experience teaching in an enrichment centre or similar educational setting.
• 1-2 year of proven experience in teaching mathematics/ science at the primary or early secondary school level.
• Strong classroom management skills and ability to engage young learners effectively.
• Passion for education and commitment to the academic and personal development of students.
• Excellent communication and interpersonal skills.
• Familiar with Singapore’s education system and curriculum frameworks (PSLE & early Secondary).

HOW TO APPLY:

Interested applicants, please click on “Apply Now” or email [email protected]

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit 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.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Lim Wei Jye (Jaylyn)

EA Personnel Reg No: R24121213

The School of Materials Science & Engineering is looking for a Research Fellow who will join the 2D semiconductor group, focusing on the fabrication techniques and performance of electronic devices based on 2D semiconductors. As part of an esteemed collaborative team of scientists, postdocs, and Ph.D. students, the individual will delve into the areas of nanomaterials preparation and characterization, nanofabrication and device measurement, etc.

Key Responsibilities:

• Preparing 2D semiconductors, such as CVD, mechanical exfoliation, etc.
• Characterizing 2D materials using techniques such as TEM, AFM, XPS, XRD, Raman, PL.
• Developing new techniques of device fabrication based on 2D semiconductors, in combination with traditional methods.
• Designing functional devices based on 2D semiconductors and related techniques.
• Measuring the performance and studying the mechanism of these devices.

Job Requirements:

• PhD in Physics, Chemistry, Materials Science, Engineering, or a related science discipline.
• Preferred experience includes: 2D materials preparation methods such as CVD, mechanical exfoliation, etc.; characterization of 2D materials such as AFM, Raman, etc.; and nanofabrication techniques such as EBL, ALD, RIE, etc.
• Strong foundation in semiconductor physics is crucial.
• Proficiency in English communication, both written and spoken, is mandatory - for research purposes

We regret that only shortlisted candidates will be notified.

**For January 2025 intake**

Teachers needed:

• Primary Science / STEM

**Full Time: $2600-3200 per month (commensurate with experience)**

**Part Time: $25 to $35 per hour (commensurate with experience)**

Working hours:

Full Time: Mon-Fri 8.30am to 5.30pm

Part Time: Mon-Fri between 9am to 3.30pm

Location: Northeast (Serangoon, Hougang)

Responsibilities:

• Prepare and conduct lessons according to the course syllabus and scheme of work

• Provide necessary supervision to the students and report students’ discipline issues to the Student Affairs staff

• Schedule and prepare examination papers and assignments

• Monitor the performance and progress of each student, including academic counselling

• Give feedback to Management about the continual improvement of the class performance

• Mark and grade all course work, assignments and examination papers

• Give feedback to Management on the course proceedings at the end of semester/course/modules

• Participate in programme review meetings

Requirements:

• Minimum a Diploma

• At least 1 year of relevant experience

HOW TO APPLY:

Please send in your resume to: recruit @ dismanpower.com.sg & indicate in the subject as "Primary Science/STEM Teacher (Full Time or Part Time, Northeast)"

We regret that only shortlisted candidates will be notified.

DIS Manpower Pte Ltd

EA License No.: 08C3226

EA Personnel: Sng Wei Lin

EA Reg No.: R1101806

A Research Fellow position is currently available in the Insurance Risk and Finance Research Centre (IRFRC) at College of Business, Nanyang Business School.

Key Responsibilities:

The Research Fellow will be working and interacting with researchers at IRFRC and Global-Asia Insurance Partnership (GAIP), with emphasis on:

• Develop models and forecasts for mortality rates in the context of pandemics and climate changes, particularly in Asian countries
• Analyze the impact of pandemics and climate changes on life and health insurance, as well as retirement products
• Develop impactful assessment and advisory reports as needed to support development of risk financing solution
• Produce high quality research articles and industry reports
• Present research findings to GAIP sponsors and the academic community

Job Requirements:

• Ph.D. in Actuarial Science, Risk Management, Insurance, Statistics, or related fields
• Proven research experience with a track record of publications in top-tier journals in the field
• Relevant insurance/actuarial industry experience and actuarial designations are assets, but not are not mandatory requirements
• Demonstrate exceptional written and verbal communication skills, particularly effectiveness in communicating complex concepts to the public
• Attention to detail

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

(CENTRAL) - Orchard

- Second center most likely will open at Tampines, walking distance from mrt

Highlight:

• 5days/week
• Offday - weekday
• Weekday 10am-730pm / weekend 930-430pm
• Target Student: Age Group 5 – 12

Target Student: Age Group 5 – 12

1. Prepare and deliver engaging lessons in accordance with the enrichment centre’s curriculum.

2. Create a positive and supportive learning environment that encourages student participation and promotes creativity.

3. Establish and maintain good relationships with students and parents; provide regular updates to parents on students’ performance and progress

4. Collaborate with colleagues & assistant to enhance curriculum development and teaching methods.

5. Maintain accurate records of students’ attendance, performance, and achievements.

6. Attend staff meetings, training sessions, and other professional development activities provide & collaborate with GEM (Gakken Education Malaysia Sdn. Bhd) & Japan HQ as required.

7. Ensure centre management and the safety and well-being of all students.

8. Perform all administrative and other duties as assigned.

Requirements:

1. Bachelor’s degree in Education/ Teacher Certificate, Diploma or other Teacher Accreditation courses and certification, or relevant field.

2. Prior experience teaching in an enrichment centre or similar educational setting.

3. 1-2 year of proven experience in teaching mathematics/ science at the primary or early secondary school level.

4. Strong classroom management skills and ability to engage young learners effectively.

5. Passion for education and commitment to the academic and personal development of students.

6. Excellent communication and interpersonal skills.

7. Familiar with Singapore’s education system and curriculum frameworks (PSLE & early Secondary)

HOW TO APPLY:

Interested applicants, please click on “Apply Now”.

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit 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.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Chris Poh Tze Zheng

EA Personnel Reg No: R24120101

Primary Maths & Science Teacher (Enrichment Centre)
Location: Thomson Plaza, Tampines, Punggol, Parkway, Bukit Timah (Discuss the location during the interview but you will need to travel the Centre)
Working days: 4 Weekdays + 1 Weekend (Tuesday - Saturday)
Working Time: 44 hours per week
Salary: $3800 - $5500

Job Description

• Display strong classroom delivery skills according to centre suggested methodology
• Effectively utilise teaching materials to create a stimulating and engaging learning environment
• Mark and grade students’ assignments with value-added feedback
• Perform required classroom administration responsibilities
• Foster good relationships with students’ parents through regular written and/or verbal feedback
• Work together with the customer service team to provide all stakeholders with a positive customer experience
• Attend training sessions and meetings organised by the company
• Participate in level meetings/subject-sharing sessions
• Participate in curriculum development (full-time)

Job Requirements

• Bachelor's degree or equivalent
• Up-to-date with latest MOE syllabus
• 2-3 years of teaching experience

Liaw Ying Ru Karis Reg No: R24125303

The Supreme HR Advisory Pte Ltd EA No: 14C7279

The Delta-NTU Corporate Laboratory for Cyber-Physical Systems invites applications for the position of Research Fellow.

Key Responsibilities:

• Achieve efficient search-based motion planning in dense traffic
• Achieve efficient optimization of trajectory with safety guarantee
• Assist in the development of human traffic prediction based on sensory observations
• Test and implement new planning algorithms for robot navigation in dense traffic

Job Requirements:

• PhD in Computer Science
• Research background on motion planning and navigation
• Familiar with popular path planning techniques such as RRT, A* and kino-A*
• Familiar with robot development tools such as ROS
• Fluent English speaking and writing skill - essential for traffic predictions in research work

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 Professor XIA Yingcun on Statistical learning of complicated health data under a project on Tensor dimension reduction for multimodal data and its application in EEG analysis.

Qualifications

• Qualifications / Discipline: PhD in Statistics and Data Science.

• Skills: The successful candidate needs to have experience in large-scale data analysis, advanced probability and statistical techniques, and strong computer programming skills.

• Experience: 2 years of research experience in machine learning methods.

Position Overview

Science Centre Singapore is dedicated to the promotion of interest, learning and creativity in science & technology through imaginative and enjoyable experiences, and to contribute to the nation's development of its human resource.

We are looking for a dynamic member to join the School and Professional department as E-Instructional Designer. You will draw on unparalleled access to the multi-disciplinary expertise of the Science Centre Exhibitions and Programmes. The job will include developing online programmes for informal learning in Science/STEM, developing programmes together with the Science Centre’s team of educators and playing a key role in inspiring students locally and globally.

Essential Job Functions

As an E-Instructional Designer, you will define, evaluate, and implement overall solution components for e-learning (LMS), including student profiling, personalized content delivery and portfolio building by using various e-learning tools including SCORM, interactives, peer reviews etc as appropriate.

You will need to embrace different styles of training techniques, including e-learning, videos, tutorials, and resource guides.

You will engage Science Centre’s exhibition and education teams to find verticals in Physical Sciences, Nature Sciences, STEM, “Just in time Science” and other areas such as STEAM and STREAM.

You will find adventurous ways to excite and engage learners across digital learning, enabling technologies, social media, gamification, mobile, VR, 3D, and other modes of learning.

You will work with technical team, both with users of various roles (student/teacher/manager/admin) as well as technical stability tests ensure deployed online courses to are suitable for target audience. You will produce instructional guides for navigating and for grading and ensure the course content brings about demonstrable learning outcome.

You will process reports and feedback on various aspects of the online learning platform and its use and evaluate the effectiveness of the e-learning curriculum and resources.

Successful candidates will also be placed on ground and visitor interaction duty that will include occasional evening and weekend work.

Requirements

The candidate must possess minimum 1 to 3 years of working experience in Instructional Design and in developing and delivery of online courseware and in working with LMS environment.

He/she must have extensive experience in developing creative and engaging training/content designing and development of learning content, methodologies, and delivery methods for online and in person (onsite). He/she should have knowledge of Web Services, APIs, Relational Databases and Basic Programming and be familiar with online training curriculum and solutions. Experience in one or more of the following – Articulate 360, Rise, technical aspects or previously served as a system administrator role of Moodle LMS, Javascript, APIs, Data analytics will be an advantage.

The candidate needs to be a hands-on person, who is comfortable with both in-house development as well as working with external partners and vendors on content development and delivery. A background in Science is essential. Experience in working in Agile product development environment is preferred.

The ideal candidate must be confident and an engaging facilitator and communicator, being totally comfortable in front of both small and large audiences. He/she must possess strong interpersonal skills with the ability to convey and relate ideas to others and work collaboratively to get things done. In addition, he/she must be detail oriented, a team player with an outgoing personality and good communication, presentation, influencing and collaboration skill.

Shortlisted candidates will be notified to submit a written assignment.

Job Description

• Prepare Science apparatus for experiments and Mathematics manipulative for lessons.
• Keep Science apparatus and Mathematics manipulate after lessons.
• Assist the HOD/Science and HOD/Mathematics to develop a stock list for stocktaking, do stock taking of both Science apparatus and Mathematics Manipulative and maintain the stock list after yearly stock taking.
• Organize return and collection of Math and Science desk copies on an annual basis.
• Organize Math and Science resources neatly in Math cupboards and in the Science laboratories.
• Perform simple repair of equipment and manipulative when needed.
• Work with teachers to create simple manipulative and/or any other materials for Math and Science Departments programme.
• Support the Math and Science Departments for recess activities.
• Help with photo-taking for Math and Science programme or activities.
• Work with teachers to take simple Math and/or Science teaching videos.
• Provide administrative support as deployed by the school

Requirements

• Preferably with experience working in a school environment in the field of Science and Mathematics.
• Candidate must be proficient in English Language, including listening/understanding, speaking, reading and writing.
• Candidate should be able to use basic MS Office such as Word, Excel and PowerPoint.
• Candidate should be able to achieve work goals independently, while pro-actively seeking clarification as needed to offer the timely support for the departments’ programmes.

Working hours

• Mondays to Thursdays: 7:30am to 5:00pm, inclusive of 1hr lunch break
• Fridays: 7:30am to 4:30pm, inclusive of 1hr lunch break
• Service not required on Saturdays, Sundays and gazetted public holidays

Working locations

• (School environment)

Additional info:

• Contract Period: From 1 January 2025 to 31 December 2025
• With option to extend (Discretion)
• This is an outsource role

If you are what we are looking for & keen to apply, kindly send in your resume (in MS Word format) to Fadhilah at [email protected] | 64941546

All Curriculum Vitaes will be treated with the strictest confidentiality. We regret to inform that only shortlisted candidates will be notified.

“This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to RMA Groups’ PDPA and e2i’s PDPA.

Norfadhilah Awang

EA License No. 93C4403

EA Regn. No. R24120699

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

Key Responsibilities:

• To conduct research into the WebAssembly programming language.
• To produce publications in top conferences and journals.
• To offer assistance to any students involved in the project.
• To collaborate with industrial and academic partners.
• To perform any other duties related to the research program.

Job Requirements:

• A Masters in Computer Science or relevant fields.
• Background in formal verification and programming language theory.
• Experience in interactive theorem proving and/or Web programming is valuable.
• Capable of handling multiple tasks across projects and research activities.
• Showing excellent communication skills, and willingness to learn.
• Able to work under limited supervision and excel as an effective team member.

We regret that only shortlisted candidates will be notified.

Responsibilities

. Report to Academic Head (Higher Education)

· Prepare and develop teaching and learning materials according to module descriptor

· Develop lesson plan and create assessment brief

· Complete marking of all assessment papers and to moderate academic results

· Conduct lesson to be delivered face-to-face

· Adopt the use of Information Technology tools to enhance learning by students

· Regular feedback to Academic Head regarding students’ academic performance and behaviour

Requirements:

· Possess Master’s or Doctorate Degrees in IT, Computing, Data Science and AI

· With at least 5 years of relevant working or teaching experience in data science field

· Possess strong interpersonal and communications skills, passionate in sharing knowledge and interacting with students

· Strong sense of professionalism and commitment in completing assigned tasks efficiently and in a timely manner

Work location: Punggol

Hours:

Mondays to Thursdays: 7:30am to 5:00pm, inclusive of 1hr lunch break

Fridays: 7:30am to 4:30pm, inclusive of 1hr lunch break

Job Responsiblities;

- Prepare science apparatus for experiment and mathematics manipultives

- clean/ tiny and keep the science apparatus and mathematics minpulative after lessons.

- Work with teacher to create simple manipulatives. materials

- Photo/ Video taking for Math and Science teaching

- provide admin support to related dept or assign by HOD

Job Requirement

- Work experience in a school environment in sci and mathematics fields

-able to use MD office

- Ableto work independently- pro actively seeking clarification as needed.

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

Key Responsibilities:

• To conduct research into the WebAssembly programming language.
• To produce publications in top conferences and journals.
• To offer assistance to any students involved in the project.
• To collaborate with industrial and academic partners.
• To perform any other duties related to the research program.

Job Requirements:

• A Masters in Computer Science or relevant fields.
• Background in formal verification and programming language theory.
• Experience in interactive theorem proving and/or Web programming is valuable.
• Capable of handling multiple tasks across projects and research activities.
• Showing excellent communication skills, and willingness to learn.
• Able to work under limited supervision and excel as an effective team member.

We regret that only shortlisted candidates will be notified.

About TUMCREATE

TUMCREATE is a multidisciplinary research platform of the Technical University Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are joining forces with universities, public agencies, and industry for the advancement of future technologies.

Our large-scale Food Science program, ‘Proteins4Singapore,’ funded by Singapore’s National Research Foundation (NRF), is a collaborative effort between the Technical University Munich (TUM), Nanyang Technological University (NTU), the Singapore Institute of Technology (SIT), and A*STAR’s Singapore Institute of Food and Biotechnology Innovation (SIFBI). As part of the Proteins4Singapore team, you will work alongside renowned scientists in plant and food technology, food chemistry, materials science, and business sustainability. Through interdisciplinary collaboration, the program aims to develop state-of-the-art methods and techniques to ensure a sustainable protein supply for highly urbanized environments.

Please visit www.tum-create.edu.sg for more information about TUMCREATE.

Job Title

Research Fellow in Soft Materials Science (Biophysical Characterisation of Food Textures)

Job Summary

We are seeking a highly motivated and skilled Research Fellow to join our dynamic research team focusing on the biophysical characterisation of food textures and their molecular building blocks. As part of the Proteins4Singapore project, the Research Fellow will contribute to innovative methodologies for nano- and micro- scale structural characterization of complex soft matter. This position plays a critical role in advancing sustainable protein solutions for urban environments through interdisciplinary collaboration, drawing expertise from physical chemistry, food science, and soft matter physics. This is a fixed term contract until March 2027.

Key Responsibilities

• Conduct experimental studies on protein hydration, emulsification, gelation, and phase separation in food systems.
• Perform experimental work related to nano- and micro- structuring, utilizing advanced biophysical characterization techniques such as X-ray, neutron, and light scattering, as well as other spectroscopic and imaging methods.
• Develop and apply new methods for studying nanoscale wetting, protein hydrophobicity, and viscoelastic properties of complex food textures using acoustic and scanning probe techniques.
• Elucidate on protein-protein interactions and self-assembly processes, aiming to control structure formation at micro- and nanoscales in food matrices.
• Collaborate with cross-disciplinary teams to integrate multiscale structural analysis with food processing techniques, including 3D printing and extrusion, thereby contributing to the project’s long-term goals of advancing sustainable food technologies and developing innovative methodologies for food texture analysis
• Engage in collaborative research, data analysis, and interpretation, while contributing to the writing of research papers, reports, and presentations for dissemination at conferences and in peer-reviewed journals.
• Participate in lab meetings, seminars, and collaborative research discussions to align with project goals and objectives.
• Supervise junior group members including undergraduate and doctoral students.

Key Competencies

• Experience in studying soft matter and colloidal systems, including colloidal interactions and structure formation.
• Strong understanding of molecular self-assembly and phase behaviour in soft matter systems.
• Expertise in biophysical characterization techniques, such as X-ray, neutron, and light scattering, as well as atomic force, confocal laser scanning, or electron microscopy for structural resolution of soft matter systems
• Strong analytical skills, with experience in using statistical tools for experimental design and data optimisation.
• Excellent communication skills, both written and verbal, in particular communication of complex scientific concepts to both specialists and non-specialists in a multidisciplinary research environment.
• Proven ability to conduct independent research and collaborate in multidisciplinary teams including working effectively within deadlines.
• Self-motivated and adaptable, with strong problem-solving skills and the ability to thrive in a dynamic, fast-paced research environment.

Qualification Requirements

• Ph.D. in Chemistry, Chemical Engineering, Materials Science, Food Science or cognate discipline from a reputable university.
• At least 1 year of experience in experimental soft matter research.
• Excellent written and verbal communication skills in English.

What we offer

• A collaborative and inclusive world class research environment.
• Access to state-of-the-art laboratory facilities and equipment.
• Opportunities for professional development and career growth.
• Engagement with a leading research team committed to advancing an emerging topic of global relevance.

Applications

Please send your complete application, including cover letter, CV, university transcripts, and degree certificates, [email protected].

Only shortlisted candidates will be contacted.

We are looking forward to your application!

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 NUS Academy for Healthy Longevity, a world-leading education and research group in geroscience and geromedicine, is seeking passionate and innovative Research Assistants (Exercise Science) to join our dynamic team. This exciting role offers a unique opportunity to contribute to groundbreaking research in the field of healthy longevity medicine, working at the forefront of clinical trials for gerotherapeutic interventions aimed at measuring and slowing biological age.

As part of the Healthy Longevity Translational Research Programme (HLTRP) within the NUS Yong Loo Lin School of Medicine, you will be at the heart of our mission to add healthy years to life by delaying aging, prolonging disease-free life, and enhancing quality of life. This position presents an unparalleled chance to shape the future of healthcare and make a lasting impact on global health outcomes.

Purpose of the Role

In the Research Assistant (Exercise Science) role at the NUS Academy for Healthy Longevity, you will play a crucial role in advancing our understanding of healthy aging through clinical trials and research initiatives. Your expertise will be instrumental in supporting groundbreaking studies aimed at measuring and slowing biological age, with a focus on gerotherapeutic interventions.

This dynamic position offers an exciting blend of clinical research and exercise science application. You will have the opportunity to work within multidisciplinary teams, contributing to the development, implementation, and evaluation of innovative protocols and interventions designed to improve health outcomes in middle-aged and older adults.

Your role will involve conducting exercise testing, prescribing personalized exercise regimens, and collecting vital data for our ongoing research projects. As we push the boundaries of geroscience, your analytical skills and exercise science knowledge will be key in interpreting results and contributing to the advancement of healthy longevity research.

This position presents a unique chance to be at the forefront of translating research into practice, potentially shaping future healthcare strategies and interventions. Join us in our mission to add quality years to life, working alongside world-renowned experts and utilizing state-of-the-art equipment in our pursuit of transformative discoveries in the field of geroscience and geromedicine.

Main Duties and Responsibilities

The Research Assistant (exercise science) is expected to:

• Work with the clinical and research teams to manage the day-to-day activities of the various services including their development, delivery, and evaluation.
• Perform routine clinical assessments according to Standard Operating Procedures in clinical practice and ongoing research studies.
• Interpret participant tests and procedures, including physiological measurements, such as VO2max, anthropometric measurements, as well as prescribe aerobic and resistance exercises based on current clinical guidelines.
• Perform recruitment of clinical service participants for research studies, and scheduling for study visits.
• Support the research and clinical teams with other activities when required.
• Maintain clinical documentation, including Standard Operating Procedures, data records, equipment maintenance.

Main Duties and Responsibilities

• Assess and validate new assessment methods before implementing into clinical practice and research.
• Train new staff and students on Standard Operating Procedures.
• Mentor and identify training needs for junior staff.
• Comply with clinical inventory management procedures.
• Comply with good clinical practice.
• Coordinate with team to help ensure that clinical research and related activities are performed in accordance with national regulations, university/institute and sponsoring agency’s policies and procedures.

Qualifications

The applicant should have:

• Bachelor’s degree in exercise science and/or allied health with a strong interest in implementing exercise testing and prescription for adults.
• Minimum 2-3 years of relevant clinical experience is preferred.
• Understanding of or experience with human clinical studies and or observational longitudinal studies
• Experience in routine clinical assessments in research studies is advantageous.
• Excellent organisational skills and the ability to undertake a range of tasks concurrently.
• High level of verbal and written communication skills with the ability to convey complex information in easily understood format for a variety of audiences.
• Ability to speak a second local language would be an advantage as you may need to interact with patients who only speak their mother tongue.
• Ability to work independently and as part of a multidisciplinary team linking different fields (e.g. exercise sciences, geroscience, nutrition).

Application

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

NTI-NTU Corporate Laboratory is a collaboration between Nanofilm Technologies International Limited (“Nanofilm”, “NTI”), Nanyang Technological University (“NTU”) and supported by Singapore under RIE2025. The Laboratory’s objective is to propel Innovation and Technologies commercialisation through NTU’s innovation and NTI’s deep technology. NTI-NTU Corp Lab aligns with Singapore’s RIE2025 handbook – which emphasises the nation’s commitment to research and innovation, aiming to drive economic growth and address national challenges.

The Nanyang Technological University NTI-NTU Corporate Laboratory is looking for a highly motivated and experienced candidate to join us as Senior Research Fellow (SRF). The SRF will join in a cutting-edge interdisciplinary research project fund through the Industry-Alignment Funding scheme, aiming to developed novel coatings for biomedical implants.

The SRF will be responsible to design, develop, characterize and optimize the formulation of bioactive coatings for biomedical implants, as well as to manage the coordination of research between different stakeholders in order to achieve project KPIs.

Key Responsibilities:

• Conduct thorough literature review and generate periodic updates.
• Design, synthesize, characterize and optimize functional coating for biomedical implants, with particular emphasis on osteogenesis ability.
• Carry out assays and analysis to optimize and control functional performance (e.g. coating thickness, uniformity, assess active agents delivery effectiveness, degradation profile, mechanical strength etc).
• Carry out biochemical and biological assays to assess bioavailability and cytotoxicity of the developed products.
• Ensure compliance with health and safety regulations in all aspects of the research work.
• Develop and optimize protocols.
• Supervise junior research staff, undergraduate and graduate student projects.
• Manage logistical issues and laboratory inventory.
• Coordinate collaborative work within multidisciplinary team and external collaborators.
• Generate periodic progress report as required by funding agency.
• Disseminate research results in reputable peer-reviewed journals and/or international conference.

Job Requirements:

• PhD in Materials Science/Chemistry/Chemical Engineering or related fields.
• Experience in biomaterial, nanomaterials synthesis, functionalization, and characterization (e.g. TEM, XRD, DLS, FTIR, TGA, ICP, etc).
• Experience working with biopolymers, thin film coatings. Experience with osteogenesis relevant assays and techniques preferred.
• Experience in mammalian cell culture, tissue engineering, implants. Experience with animal work will be a bonus.
• A strong track record of research ability and demonstrated contribution to research (e.g., research publications, grant applications, patents).
• Good communication and writing skills.
• Excellent interpersonal skills, and ability to work in a diverse, international, and inter-disciplinary research environment.
• Ability to take initiative to improve processes and troubleshoot problems.
• Ability to work well with multiple competing priorities, manage projects and meet deadlines.
• A good team player and able to work independently with minimum supervision.

We regret that only shortlisted candidates will be notified.

**For January 2025 intake**

Teachers needed:

• Primary Science / STEM

**Full Time: $2600-3200 per month (commensurate with experience)**

**Part Time: $25 to $35 per hour (commensurate with experience)**

Working hours:

Full Time: Mon-Fri 8.30am to 5.30pm

Part Time: Mon-Fri between 9am to 3.30pm

Location: Town

Responsibilities:

• Prepare and conduct lessons according to the course syllabus and scheme of work

• Provide necessary supervision to the students and report students’ discipline issues to the Student Affairs staff

• Schedule and prepare examination papers and assignments

• Monitor the performance and progress of each student, including academic counselling

• Give feedback to Management about the continual improvement of the class performance

• Mark and grade all course work, assignments and examination papers

• Give feedback to Management on the course proceedings at the end of semester/course/modules

• Participate in programme review meetings

Requirements:

• Minimum a Diploma

• At least 1 year of relevant experience

HOW TO APPLY:

Please send in your resume to: recruit @ dismanpower.com.sg & indicate in the subject as "Primary Science/STEM Teacher (Full Time or Part Time, Town)"

We regret that only shortlisted candidates will be notified.

DIS Manpower Pte Ltd

EA License No.: 08C3226

EA Personnel: Sng Wei Lin

EA Reg No.: R1101806

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 postdoctoral research fellows to work on topics on machine learning and its scientific applications. The successful candidate will work with Dr Li Qianxiao on these topics.

The main responsibility of the position include conducting cutting-edge research in machine learning theory and algorithm research, with applications to materials and quantum sciences. Topics include (but are not limited to) data-driven multiscale modelling, approximation and optimisation theory of new architectures and applications in dynamics, and learning and controlling deterministic and stochastic dynamics.

Qualifications

• PhD in (Applied) Mathematics, Computer Science, Physics or related fields
• Minimum two years and above of working experience
• Strong knowledge in machine learning and deep learning
• Familiarity with basic theory of dynamical systems, ODEs, PDEs, and stochastic processes
• Knowledge in computational physics and chemistry are desirable
• Ability to code in Python with at least one of the popular deep learning framework, e.g., Jax, PyTorch, etc
• Academic research with strong publication record. The candidate should have published in top machine learning conferences and journals, such as ICML, ICLR, NeurIPS, JMLR, etc. Publications in applied sciences are also desirable.

Job Description: Workshop Instructor (Science, Music, AI & Creative Learning)

Position: Workshop Instructor
Workshop Duration: 3-5 Days
Compensation: Paid per Workshop (Rate to be discussed)

Overview:
We are seeking a dynamic and innovative Workshop Instructor to lead immersive, hands-on workshops combining Science, Music, Artificial Intelligence (AI), and Creative Learning. The ideal candidate will have a passion for interdisciplinary teaching and the ability to engage students in exploring creative solutions through technology and the arts. This role is designed for a creative educator who can inspire and guide learners of diverse backgrounds to think critically and innovatively.

Key Responsibilities:

• Facilitate Workshops: Deliver engaging, interactive workshops that explore the intersection of Science, Music, AI, and Creative Learning through project-based learning.
• Curriculum Development: Design and adapt lesson plans that integrate core STEAM subjects, encouraging creativity, experimentation, and problem-solving.
• Student Engagement: Foster an inclusive and stimulating learning environment where students feel empowered to explore and collaborate on innovative projects.
• Hands-on Learning: Use a variety of tools and technologies (e.g., coding platforms, music production software, AI applications) to support creative exploration.
• Assessment & Feedback: Provide constructive feedback to participants, assessing their understanding and helping them refine their ideas and projects.
• Innovation & Exploration: Encourage students to explore how AI and other emerging technologies can be used creatively in science and music fields.
• Workshop Preparation: Prepare materials, resources, and activities ahead of each session to ensure smooth and productive delivery of the workshop content.

Qualifications:

• Educational Background: Degree or relevant experience in Science, Music, AI, Engineering, or Education with a strong focus on creative learning.
• Experience: Proven experience in conducting workshops or teaching in a STEAM or creative learning environment.
• Interdisciplinary Knowledge: Expertise in both the technical and artistic aspects of STEAM, particularly how AI can intersect with music and science.
• Tech-Savvy: Proficiency in coding (Python, Java, etc.), music software (Ableton, GarageBand, etc.), AI platforms, and other relevant digital tools.
• Creativity & Innovation: Ability to design engaging, forward-thinking activities that inspire innovation among participants.
• Communication Skills: Strong presentation and facilitation skills, with the ability to engage participants of various ages and skill levels.
• Problem-Solving: Strong ability to guide students through creative problem-solving processes and real-world applications.

Workshop Format:

• Duration: Each workshop runs for 3-5 days with flexible hours depending on the group needs.
• Location: On-site or virtual workshops, depending on the cohort.
• Compensation: Paid per workshop (negotiable depending on expertise and experience).

If you are passionate about fostering creative thinking, interdisciplinary learning, and exploring the future of STEAM education, we’d love to hear from you. Apply to join our team of innovative educators today!

How to Apply:
Send your resume, portfolio, and a brief cover letter outlining your experience and vision for education workshop to [email protected]

Position title : Afterschool Care Teacher

• Location: Woodleigh
• Working Days: 5.5day
• Working Hours-Monday to Friday 1030am to 7pm
  - Saturday 9.30am to 1.30pm
• Salary : $2,200 - $3,300

Interested applicants can also send your resume to WA:+65 8839 3566 (Ms Angel) and allow our Consultant to match you with our Clients.

No Charges will be incurred by Candidates for any service rendered.

LIEW ONN KEE REG NO : R22108518

THE SUPREME HR ADVISORY EA NO:14C7279

Job Responsibilities

• Implement the program for the class in accordance with the policies, guidelines, framework and philosophy of the centre.
• Guide primary school children (primary 1 to 5) to ensure completion of daily homework.
• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Responsible for the preparation and upkeep of teaching resources, arrangement, appearance and learning environment of the classroom.
• Maintain and build relationships with children and parents.
• Conduct unique enrichment programmes.
• Ensure safety and timely transfer of students from school to student centre.
• Ensure safety of children within the premises.
• Any other ad-hoc duties as delegated by Centre Director.

Job Requirements

• Diploma or higher in any discipline with minimum of 2 years of teaching experience with primary school students.

The Delta-NTU Corporate Laboratory for Advanced Robotics invites applications for the position of Research Associate.

Key Responsibilities:

• Develop algorithms to identify static, dynamic, and repetitive features and build corresponding maps based on point clouds
• Collaborate with other team members to develop multi-sensor fusion localization and mapping algorithms for dynamic feature scenes
• Design and develop both mechanical and software systems for sensor suits to be added to UGVs with proper computing platform
• Assist in on-site experiments and data acquisition in application environment

Job Requirements:

• Master’s degree in engineering or science
• Experience in LIDAR and visual SLAM for robotics or unmanned systems
• Good programming skills in C/C++ or Python
• Knowledge in machine learning
• Ability to work independently and contribute to the whole team
• Excellent verbal and written communication skills

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

Prof Chng Wee Joo's lab in Cancer Science Institute of Singapore (CSI) is at the forefront of cutting-edge research in haematological malignancies, with a particular focus on multiple myeloma (MM), acute myeloid leukemia (AML), and natural killer/T-cell lymphoma (NKTL).

We are seeking a highly motivated and skilled Research Assistant to join our team and contribute to our translational research program. This program integrates genomics and proteomics technologies to drive clinically relevant discoveries in the diagnosis, prognosis, and treatment of these cancers.

As a Research Assistant, you will play a key role in supporting various research activities, including experimental design, data collection, and analysis, as well as laboratory management. You will collaborate closely with our team of scientists and clinicians to help advance our bench-to-bedside research pipeline, translating laboratory findings into potential therapeutic interventions for haematological malignancies.

Duties and Responsibilities

Conducting Research

• Assist in performing high-throughput genomics and proteomics analyses on human tumor samples and model systems.
• Participate in pre-clinical validation studies of novel therapeutic targets identified from genomic and molecular discoveries.
• Support ongoing research projects focused on molecular subtyping, disease progression, and therapeutic resistance in MM, AML, and NKTL.
• Assist in testing novel compounds targeting oncogenic pathways (e.g., EZH2 inhibitors in AML).

Data Collection and Analysis

• Prepare and process biological samples for genomic and proteomic studies.
• Utilize bioinformatics tools and relational databases for system biology analysis and integration of clinical and molecular data.
• Contribute to data management and statistical analysis of experimental results.

Laboratory Management

• Assist in the maintenance of laboratory equipment and inventory.
• Ensure proper documentation of experimental procedures and findings.
• Maintain high standards of laboratory safety and protocol compliance.

Collaborative Research

• Work closely with senior researchers, clinicians, and other laboratory staff to validate research findings and contribute to ongoing projects.
• Assist in the management of a comprehensive tissue bank and clinical database.
• Present findings in lab meetings and contribute to the preparation of manuscripts for publication.

Qualifications

• Bachelor’s or Master’s degree in Biology, Biochemistry, Biomedical Sciences, or related field.
• Prior experience in molecular biology, genomics, or proteomics techniques is highly desirable.
• Familiarity with haematological malignancies and cancer research is a plus.
• Experience with bioinformatics tools and databases is advantageous.
• Strong organizational skills and attention to detail.
• Excellent written and verbal communication skills.

Preferred Skills and Attributes:

• Passion for cancer research and a strong interest in translational medicine.
• Ability to work collaboratively in a multidisciplinary team.
• Strong problem-solving skills and ability to adapt to new challenges.

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 Summary

Cancer Science Institute of Singapore (CSI) is establishing a new research lab under the leadership of Dr. Zhou Yilong. The lab will focus on RNA biology, cancer, and immunity.

We are seeking a highly motivated, dedicated and detail-oriented Research Assistant to contribute to the lab's cutting-edge research on RNA-protein interactions, biomolecular condensates, and the role of RNA helicases in cancer. In addition to research responsibilities, the Research Assistant will play a crucial role in commissioning the lab, setting up essential equipment, and ensuring operational readiness.

Qualifications

• Bachelor’s or Master’s degree in Molecular Biology, Biochemistry, Cancer Biology, or a related field.
• Prior experience with lab setup, equipment management, or commissioning of research facilities.
• Strong skills in molecular biology techniques (e.g., RNA isolation, PCR, cell culture, CRISPR).
• Knowledge of RNA biology, cancer biology, or immunology is advantageous.
• Familiarity with bioinformatics tools for RNA sequencing analysis is a plus.
• Strong organizational skills and attention to detail.
• Ability to work both independently and as part of a team.

Preferred Experience:

• Experience with RNA helicases, biomolecular condensates, deep-sequencing and proteomic techniques.
• Prior involvement in lab commissioning or management.
• Familiarity with cancer models and translational research in RNA therapeutics in cell and animal level.