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

Education Qualifications:

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

- Good oral and written English.

Relevant Experence:

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

- Experience with induced pluripotent stem cells is a plus.

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

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

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

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

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

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

- Excellent organisational skills.

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

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

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

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

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

The following laboratory skills are desirable:

- Stem cell biology and differentiation.

- Transcriptomics, metabolomics and proteomics with advanced bioinformatics analysis.

- Flow cytometry, FACS and high throughput screening analysis.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

Qualifications

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

Job Description

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

The successful candidate is required to:

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

Qualifications

Qualifications

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

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

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

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

Key Responsibilities:

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

Job Requirements:

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

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

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

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

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

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

Job Requirements

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

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

The Research Assistant (RA) will assist Professor Ivan Png in applied microeconomic research. Duties include compiling data from primary and secondary sources, analysis and programming, algebraic analysis, reviewing research, and writing. Current projects include the productivity of foreign workers and taxi drivers (https://bizfaculty.nus.edu.sg/productivity/)

Qualifications and Skills

• Honours degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

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 job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

The Research Assistant (RA) will assist Professor Ivan Png in applied microeconomic research. Duties include compiling data from primary and secondary sources, analysis and programming, algebraic analysis, reviewing research, and writing. Current projects include the productivity of foreign workers and taxi drivers (https://bizfaculty.nus.edu.sg/productivity/)

Qualifications and Skills

• Honours degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The job is to conduct research on the evaluation of pre-trained vision-language models' video understanding capabilities and the utilization of these pre-trained models for video question answering.

Candidate's core responsibilities are:

• Collect data through web crawling and/or crowdsourcing
• Implement baseline methods based on previous research papers
• Implement new methods to improve the performance of large language models
• Conduct experiments to empirically evaluate different methods
• Contribute to the preparation of manuscripts for publication

• Minimum PhD degree in computer science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum 3 years of relevant research experience in video processing, analysis, and research
• Excellent knowledge in large-scale video processing and search
• Good knowledge and experience in system development and engineering
• Good skill in computer programming
• Good knowledge in dataset curation and preparation of dataset for deep learning
• Self-motivated individual who can work independently as well as collaboratively in a team to research and engineer challenging problems

#LI-JN2

Part-time Science tutors needed - The Great Knowledge Keepers Singapore.

Register as a tutor on our website here: https://thegreatknowledgekeepers.com/start-tuition-singapore-home-tuition/#register

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Latest Science Tuition Jobs/ Science Tuition Assignments:

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Science tuition teachers needed. We are looking for part-time Science tutors across Singapore to teach at their preferred locations.

We have over 200+ assignments across Singapore and are always looking for new tutors to match with our clients.

We need tutors who are able to teach Science to students one on one either online through Zoom or in-person at the students' house.

If you are able to teach other subjects, please do apply as well. We always welcome tutors to join our team!

Our tutors are able to work from home as an online tutor. Our tutors are able to conduct lessons through Zoom or are able to work near their preferred location (in-person lessons usually command higher rates for tutors).

This is a part-time job and you are able to choose your preferred assignments.

Please go to our website here https://thegreatknowledgekeepers.com/latest-tuition-assignments-singapore/ to browse through our available assignments and select the assignment/assignments you are interested in and apply for them.

We need home private tutors who are able to teach Science Tuition Singapore as well as any other subject/subjects.

Once you have applied for an assignment/assignments, we will show your profile to the clients and get back to you on WhatsApp if you have been selected by the client or if we have any questions.

We look forward to working with you to find the best possible Science tuition assignments for you!

Be sure to register with us on WhatsApp or on our website for the best Science jobs in Singapore!

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Job Description

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

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

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

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

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

o document design processes, methodologies, and results.

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

-Perform research in the following areas:

o Offshore hydrodynamics

o Coastal Protection

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

o Fluid-structure interactions

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

-Any other duties as assigned by supervisor.

Job Requirements

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

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

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

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

o CAD software such as SolidWorks, Rhino, AutoCAD

o Engineering tools such as WAMIT, SESAM and OrcaFlex

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

o StarCCM+, OpenFOAM

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

-Good interpersonal and communications skills.

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

-Good command of written and spoken language.

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

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

Responsibilities:

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

Qualifications:

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

Preferred Qualifications:

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

The Trustworthy LLM/AI project is looking to hire Research Assistants / Senior Research Assistants. Each researcher will contribute in at least one of the following:

1. Research on automated vulnerability discovery (e.g., via Fuzzing) in IoT (Wireless) networked systems;
2. Research on IoT honeypot and threat intelligence.

Qualification & Experience:

• Bachelor's / Master's degree in Computer Science, Computer Engineering, or related field.
• Demonstrated expertise in software testing and/or software security and/or applied machine learning.
• Track record of strong R&D capability, with publications at leading cybersecurity conferences and/or journals.
• Working knowledge of the C/C++ or Python programming language.
• Working knowledge in binary analysis and code reverse engineering is advantageous.
• Familiarity with 5G and Wireless Networking is advantageous.

The School of Chemistry, Chemical Engineeri​ng and Biotechnology (CCEB) invites applications for the position of Research Fellow.

We are looking for an enthusiastic individual to work as a Research Fellow in computational soft matter physics using machine learning. The main research tasks include developing new numerical methods to simulate amyloid fibril nucleation using deep learning neural networks.

Key Responsibilities:

• Conduct research outlined by PI
• Develop new research methodologies
• Critically analyse research data against theory
• Provide support to research students and other research staff
• Report research progress
• Publish research findings

Job Requirements:

• PhD in Physics, Chemistry, Materials Science, or related fields
• Strong skills in numerical simulations and machine learning
• Excellent scientific writing and communication in English
• Team-oriented with good collaboration skills

We regret that only shortlisted candidates will be notified.

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

https://tinyurl.com/TuitionCentreJobRegistration

Level to Teach: Secondary

Subject: Science

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

No. of work day: Flexible

No. of hours/week: Flexible

As for work days and hours:

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

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

Requirements:

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

Minimum commitment: till the end of academic year

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

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

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

https://tinyurl.com/TuitionCentreJobRegistration

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

https://tinyurl.com/TuitionCentreJobRegistration

Level to Teach: Secondary

Subject: Science

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

No. of work day: Flexible

No. of hours/week: Flexible

As for work days and hours:

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

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

Requirements:

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

Minimum commitment: till the end of academic year

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

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

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

https://tinyurl.com/TuitionCentreJobRegistration

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.

Join the Exhibitions team and create memorable experience as an Assistant Manager, Exhibitions.

Essential Job Functions

The Assistant Manager, Exhibitions, is responsible for the development of multiple Permanent and Temporary Exhibitions. The role covers research, content scoping and project management to deliver meaningful and engaging exhibition experiences for Science Centre’s visitors. The role involves supervision of junior staff comprising imagineers and producers.

Key Responsibilities

- Conceptualize and implement exhibition experiences, encompassing content scoping, ideation, timeline and budget management, project oversight, script development, and stakeholder management to ensure successful and timely project delivery within budget.

- Conduct post-project reviews, collaborate with department heads to assess impact, employ formative and summative methodologies, communicate risks to the team, and work on risk mitigation.

- Organize cross-departmental events to foster engagement, ensuring smooth operations, and promoting high performance and well-being is a key aspect of the role. This includes organizing talks, forums, and competitions, providing training, conducting check-ins with staff, and promoting organizational culture.

Requirements

The ideal candidate should have a Degree in Science or its equivalent, along with a strong understanding or experience in scientific principles and/or research, science communication and project management. Experience in museum interpretive studies is an added advantage.

Other Skills/Abilities

He/She should possess a self-driven and creative nature, along with strong organizational and communication skills. Additionally, he/she should demonstrate a keen aesthetic and/or design sense, a genuine passion for science, and the ability to effectively translate concepts into engaging experiences.

Candidates with more years of relevant experience may be considered for the role as Manager.

Only shortlisted candidates will be notified.

Job Title: Postdoctoral Researcher (3D-printed Injection Molds)

Scope of the Research:

The project aims to investigate the feasibility of fabricating 3D-printed moulds for injection moulding. The objective of the project includes:

• To identify materials and additives used for the process
• To fabricate well-defined micro and nanostructures by additive manufacturing
• To fabricate hierarchical structures with well-defined inner morphologies

• To characterize the properties of the fabricated structures
• To automate the fabrication process
• To modify or develop instruments applicable to the developed process

The researcher will work in an interdisciplinary research team consisting of electrical, chemical, and biomedical engineers, chemists, and materials scientists.

Qualification, Skills, and Experiences:

• PhD (for postdocs) or M.S./B.S. (for research assistants) in chemistry, materials sciences and/or related fields • Experiences in digital fabrication (3D printing, laser cutting, fluid dispensing)
• Experiences in the design and manufacturing of scientific instruments
• Experiences in microfluidics, microfabrication
• Experiences in digital fabrication, CAD, and 3D drawing and modelling
• Good track record of scientific publications
• Excellent written and oral communication skills in English

We are in search of a highly motivated and accomplished Research Fellow to join our team and significantly contribute to our upcoming research project "Empowering Real-World 3D Scene Understanding: Navigating Noise, Distribution Shifts, and Incremental Learning". The successful candidate will collaborate closely with our research team, working on the development of ground-breaking algorithms and methodologies for Real-world 3D scene understanding problems. This role offers an exciting opportunity to engage in cutting-edge research and have a substantial influence on the field.

Responsibilities:

• Undertake research in the field of real-World 3D scene understanding.
• Design and execute experiments to validate the proposed approaches.
• Analyze and interpret data sourced from inputs, including images or point clouds.
• Stay up-to-date with the latest advancements in real-world 3D scene understanding and related fields, and integrate new findings into research projects.
• Prepare research papers for publication in prestigious conferences and journals.
• Deliver presentations on research findings at conferences and other pertinent events.

Qualifications:

• A doctoral degree in Computer Science, Electrical Engineering, or a related discipline, with a specialization on computer vision and machine learning.
• A strong background in computer vision, machine learning, and 3D geometry.
• Proficiency in programming languages such as Python, C++, or MATLAB.
• Experience with relevant software libraries and frameworks, such as Pytorch, OpenCV, or PCL.
• A solid grasp of mathematical concepts related to 3D computer vision, including geometry, optimization, and statistical methods.
• A proven track record of publishing research papers in esteemed conferences or journals.
• Excellent problem-solving and analytical abilities.
• Strong communication skills and the capability to work effectively in a collaborative research environment.

We are inviting applicants for the position of Research Fellow to work on projects at the intersection of artificial intelligence, engineering, and design. The successful candidate will work with researchers from other domains to implement multimodal deep learning models with language, spatial and geometric datasets across the design scales of products, buildings and cities.

Requirements:

• Strong mathematical and data science knowledge
• Strong deep learning programming skills
• Strong interdisciplinary approach in working with large-scale and real-world datasets.
• Strong knowledge in innovation and entrepreneurship

The candidate should hold a PhD in AI, computer science, mathematics, data science, or other related field.

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.

Join the Exhibitions team and create memorable experience as an Assistant Experience Engineer.

Essential Job Functions

As an Assistant Experience Engineer, you play a pivotal role in developing exhibits and experience, ensuring they operate at the highest level for the enjoyable experience for our guests.

Your responsibilities include the following:

- Exhibit checks, reporting, troubleshooting and maintenance of exhibits/exhibitions

- Carry out periodic image back-ups of our exhibits, maintaining the exhibition network and administration of the team’s knowledge management database (storage FTP server)

- Set-up and takedown of Exhibitions

- Exhibit Ideation and Prototyping

- Work on Exhibit Specifications (including providing technical advice for development projects)

Requirements

Knowledge and work experience in the following areas will be an advantage.

Diploma in Industrial Design/Product Design:

· Machining, mechanical assembly works, electrical and electronic systems, digital prototyping using CAD (computer-aided Design) software.

· Rapid prototyping, addictive and subtractive fabrication of spare parts and components for exhibits, exhibit housing and experiences.

· Operating woodworking machines such as, the bench saw, planer, routers and stand drill.

· Wood/plastics fabrication works

OR

Diploma in Information Technology or equivalent:

· Familiarity with troubleshooting basic computer hardware faults, diagnose software issues within an exhibit and resolve them

Other Skills/Abilities

Having a strong interest in taking apart or fixing things, coupled with the ability to handle basic equipment and tools useful in carrying out the duties within the galleries.

We value qualities such as professionalism, initiative, and quality service in all aspects of interaction with both internal and external customers, collaborative and enthusiastic about learning and acquiring new skills.

Shift Requirements

Rotating 5-day work shifts is a requirement, while duties on weekends and public holidays will be scheduled as and when required.

Only shortlisted candidates will be notified.

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

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

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

Key Responsibilities:

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

Job Requirements:

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

We regret that only shortlisted candidates will be notified.

Working hours: 3 rotating shift work (3 rest day every 2 weeks)

Morning – 7am to 4pm

Afternoon – 2pm to 11pm

Night – 10.30pm to 7.30am (got night shift allowance at $14/night)

Location: CBD area

Basic + AWS + Performance Bonus!

Responsibilities

The Facilities Techinican ensures that facilities are safe and functional by performing preventive and corrective maintainance activities. He/She conducts technical troubleshoooting for mechanical and electrical issues in compliance with the quality and safety standards, regulations and organizational Workplace safety and Health (WSH) practices.

• Perform daily operational activities which includes attending to customer's enquiries, needs and complaints.
• Perform preventive and breakdown techinical support and maintenance for mechanical/electrical services, plumbing & sanitary services, Aircon servicing and maintenance, ACMV systems, chillers and electrical control

Requirements

• 2 years or more related experience in Facilities Management will be an added advantage.
• Positive attitude, good interpersonal and customer-centric skills

Please submit your updated resume by using the APPLY NOW BUTTON

By submitting your personal data and/or resume to us in connection with your job application, you will be deemed to have agreed and consented to us in collecting, using, retaining, and disclosing your personal data and/or resume to prospective employers for the purpose of the evaluating, processing and administration by company relating to this job application.

We regret to inform that only shortlisted candidates would be notified

We wish you all the best in your career search.

You are welcome to visit our website at www.rdtpsg.com

RD Trusted Partners Pte Ltd| EA License No.: 24C2352

Chee Wei Qian (Sandy) | EA Personnel No.: R24125920

Alternate 5/6 days work week, 3 shifts

Location: Fort Canning

Responsibilities

• Safeguard the property of guests, employees and premises from theft, vandalism, arson and other criminal acts, and take appropriate actions against any person/s doing so.
• Make regular rounds of all corridors and areas in YWCA Fort Canning.
• Be familiar with all entrances and exits where unauthorized person/s may gain entry.
• Record all unusual incidents and report to the Security Manager without delay.
• Prevent the harassment of guests from unauthorized person/s.
• Provide proper assistance to the Police and Fire services as and when the need arises.
• Be thoroughly familiar with all safety rules and regulations including Fire Fighting. Procedures and equipment, to render assistance in any emergency cases.
• Carry out any other duties or instructions pertaining to the safety and security of YWCA Fort Canning and when directed by the Security Manager/Supervisor and the Management.

Requirements

• Minimum 1 years of working experience as security guard.
• Applicant with Security licence preferred.
• Able to perform shift work.

Please submit your updated resume by using the APPLY NOW BUTTON

By submitting your personal data and/or resume to us in connection with your job application, you will be deemed to have agreed and consented to us in collecting, using, retaining, and disclosing your personal data and/or resume to prospective employers for the purpose of the evaluating, processing and administration by company relating to this job application.

We regret to inform that only shortlisted candidates would be notified

We wish you all the best in your career search.

You are welcome to visit our website at www.rdtpsg.com

RD Trusted Partners Pte Ltd| EA License No.: 24C2352

Chee Wei Qian (Sandy) | EA Personnel No.: R24125920

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

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

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

Looking for tutors for these tuition centre classes:

Pri 4, Pri 5, Pri 6 -> Science

Sec 2 -> Science

Sec 3, Sec 4 -> Chemistry

Duration: 1.5h per lesson

Time can be slightly negotiable.

Tuesday

Pri 6: Tuesday 5pm-6.30pm

Sec 3: Tuesday 6.30pm-8pm

Sec 4: Tuesday 8pm-9.30pm

Wednesday

Pri 4: Wednesday 4.30pm-6pm

Pri 5: Wednesday 6.30pm-8pm

Friday

Pri 6: Friday 6.30pm-8pm

Sec 2: Friday 8pm-9.30pm

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

Fees:

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

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

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

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

Pay will strictly be based on attendance of the class

Roles and Responsibilities:

- Punctual, dependable, and a positive attitude.

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

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

- At least 3 years of experience

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

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

- Class starts in Jan 2025.

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

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

Join our Telegram channel for access to a wide range of unfilled assignments.

We are currently experiencing a shortage of tutors: t.me/Learntogethersg

Sign up as a tutor with us for priority consideration on upcoming assignments.

learntogether.sg/tutor-jobs-singapore-register-today/

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

Personnel to be deployed at the following hours:

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

Job Description:

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

Job Requirements:

• At least 1 year of working experience;

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

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

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

• Strong communication and interpersonal skills; and

• Preferably to be proficient in Microsoft Office/Word

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

1. Full name as per NRIC

2. Residential address (for job matching by location)

3. Minimum expected salary

4. Relevant education/qualification certificates and testimonials