About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

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.

✅ Work with friends!

Job Description:

• Develop epitaxial processes for selective and non-selective growth of Ge and SiGe layers on Si substrates.
• Improve baseline processes for high-quality SiGe and Ge epitaxy: control uniformity and thickness and minimize threading dislocation density.
• Design epitaxial structures and develop processes for Ge and SiGe photodetectors (PD) and electro-absorption modulators (EAM) devices, integrating Ge/SiGe devices into Silicon photonic circuits.
• Troubleshoot to maintain tool and process quality. Prepare Standard Operating Procedures (SOPs), Out-of-Control Plans, and other technical documentation to maintain processes and tools.
• Perform metrology and characterization of SiGe and Ge epilayers (e.g., dopant and thickness uniformity, surface roughness, crystal quality, stress, carrier lifetime, etc.).
• Correlate SiGe and Ge crystal defects (type and density) with device performance and yield, and with device processing conditions.
• Provide technical support for technology transfer and process release requirements.
• Prepare technical presentations and papers for meetings, conferences and journals.

Requirements:

• PhD degree in Materials Science and Engineering, Physics, Chemical Engineering, Chemistry, Microelectronics Engineering, or closely related fields are welcome to apply.
• Prior 3 to 5 years direct experience in SiGe/Ge epitaxy and materials characterization.
• Working knowledge and prior hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, and problem-solving methods, is desired.
• Understanding of epitaxial system hardware is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, AFM, Ellipsometry is advantageous.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

Job duties and responsibilities :

• Oversee and manage all Singapore Chinese Health Study genetic data hosted on GIS RAPTOR platform.
• Coordinate data extractions and data transfer for the Singapore Chinese Health Study.
• Manage design, develop, verification and validation activities for appropriate genetic data storage and analysis.
• Execute large-scale genetic evaluations for ageing biomarkers and age-related traits and outcomes with the Singapore Chinese Health Study dataset.
• Coordinate data harmonization with key collaborators to enable larger scale data analysis.
• Maintain proper logs and filing for all project documents and records.

Job requirements :

• Proficiency in large-scale genomics evaluations.
• Proficiency in cloud computing, unix based computational platforms.
• Excellent communication and collaborative skills and ability to work as part of a larger team.
• Meticulous in delivering and documenting tasks with appropriate computational tools.
• Well acquainted with basic molecular biology techniques including qPCR and NGS
• PhD in genomics, computational biology or related fields.

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.

As part of IME Integrated Circuit Design and System Department, we are looking for a candidate with relevant experience in ultrasound imaging system design. This candidate will define an ultrasound transducer array beamformer IC architecture for imaging applications. The candidate will work closely with MEMS team on system architecture, circuit design, simulation, validation, and integration.

Role & Responsibilities

• Perform system-level beamformer architecture, design, and simulation, to derive circuit-level design specifications.
• Beamforming array optimization using AI algorithms.
• Design and implementation of beamformer algorithm in hardware.
• Work together with team to investigate novel circuit/system solutions to create new inventions.

Requirements

• Master’s / PhD degree in Electrical Engineering or equivalent
• Good understanding of ultrasound imaging systems and beamforming theories.
• Knowledge of AI algorithms and implementation will be a plus
• Familiar with IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Able to generate high-quality scientific publications and patents
• Team player, quick learner and self-driven

Job Description:

Are you passionate about robotics and eager to dive into the world of cutting-edge research and development? Join our team as a Robotics Lab Innovator and play a pivotal role in advancing the next generation of robotic and automation systems. In this dynamic position, you will collaborate with a talented team of scientists, engineers, and technicians, driving innovative experiments and pushing the boundaries of technology. Your role will be crucial in setting up experiments, collecting data, and supporting the development of groundbreaking robotic solutions.

Responsibilities:

• Set up and execute experiments involving robotic platforms, sensors, controllers, and testing environments.
• Assist with basic programming and coding to support research and development initiatives.
• Accurately follow experimental protocols, ensuring safety standards and procedures are met.
• Collect, record, and analyse experimental data using various tools and software platforms.

What We’re Looking For:

• Diploma in Engineering, Robotics, Automation, Computer Science, or a related field.
• No prior professional experience required as there will be on-the-job training.
• Basic knowledge of programming languages such as Python or C++ is a plus.
• Enthusiastic about learning and adapting to new technologies with a proactive approach to skill development.
• A collaborative spirit with a willingness to work closely with scientists, engineers, and technicians, and a positive attitude towards team dynamics.

Why Join Us?

• Be at the forefront of robotic innovation and make a tangible impact on cutting-edge projects.
• Work in a stimulating environment with opportunities to grow and learn from industry experts.
• Work in a state-of-the-art facility with a modern and conducive environment.
• Contribute to a dynamic team committed to pushing the boundaries of technology and creativity.

If you’re ready to embark on an exciting journey in robotics and automation, apply now and be a part of our revolutionary team!

As part of IME Integrated Circuit Design and System Department, we are seeking a candidate with relevant experience in analog integrated circuit design. This candidate will have the opportunity to develop unconventional ultrasound transducer drivers, receiver circuits for IoT and biomedical applications as well as cutting-edge high-speed analog circuits for advanced optical communication.

Role & Responsibilities

• Design and tapeout circuit blocks e.g. high linearity low-noise amplifier, variable gain amplifier, envelop detector, and high voltage driver for MEMS ultrasound transducers.
• Work together with team on system integration and demonstration.
• Work together with team to investigate novel circuit/system solutions to create new inventions.

Requirements

• Master’s / PhD degree in Electrical Engineering or equivalent
• Minimum 2 years of transistor-level analog circuit design experience
• Good understanding of CMOS analog IC design methodologies and successful tapeout experience
• Familiar with analog IC design and verification flow
• Design experience with high voltage BCD process would be a plus
• Familiar with the IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Able to generate high-quality scientific publications and patents
• Team player, quick learner and self-driven

Job Description:

• Develop epitaxial processes for selective and non-selective growth of Ge and SiGe layers on Si substrates.
• Improve baseline processes for high-quality SiGe and Ge epitaxy: control uniformity and thickness and minimize threading dislocation density.
• Design epitaxial structures and develop processes for Ge and SiGe photodetectors (PD) and electro-absorption modulators (EAM) devices, integrating Ge/SiGe devices into Silicon photonic circuits.
• Troubleshoot to maintain tool and process quality. Prepare Standard Operating Procedures (SOPs), Out-of-Control Plans, and other technical documentation to maintain processes and tools.
• Perform metrology and characterization of SiGe and Ge epilayers (e.g., dopant and thickness uniformity, surface roughness, crystal quality, stress, carrier lifetime, etc.).
• Correlate SiGe and Ge crystal defects (type and density) with device performance and yield, and with device processing conditions.
• Provide technical support for technology transfer and process release requirements.
• Prepare technical presentations and papers for meetings, conferences and journals.

Requirements:

• PhD degree in Materials Science and Engineering, Physics, Chemical Engineering, Chemistry, Microelectronics Engineering, or closely related fields are welcome to apply.
• Prior 3 to 5 years direct experience in SiGe/Ge epitaxy and materials characterization.
• Working knowledge and prior hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, and problem-solving methods, is desired.
• Understanding of epitaxial system hardware is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, AFM, Ellipsometry is advantageous.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

Duties and Responsibilities - Process Integration

• Plan the integration flow with device designers
• Draft the runsheet by translating the flow into process steps and capturing necessary shortloops
• Perform the DoE with process module teams
• Track the lot and report the progress
• Identify failure modes/root causes and address the problems by proposing changes
• Must be good at documentation and written communication

Job Requirements

• Bachelor's degree in Microelectronics, Electrical, Mechanical, or Chemical Engineering.
• A basic understanding of the semiconductor processes is preferred.
• 3-5 years of hands-on experience in semiconductor processes (Diffusion, Wet Clean, CMP, ECP, Litho, Etch, CVD, PVD, etc.) will add advantages.
• Must be a team worker with the project stakeholders (device design, process module, and equipment/facility).

Principal Scientist for Advanced Photonics and Flat Optics Process Integration

The candidate will take the lead for the development of advanced photonics and flat optics integration. This could include but not limited as photonic integration, photonic heterogeneous integration, multi-layered flat optics integration, electro-photonics integration, etc., with various materials. The candidate will work closely with an excellent multidisciplinary and high-industry driven team involving photonics, semiconductor process, and fab operation.

Responsibilities:

• Development of various photonics integration process with 8-inch and 12-inch fabrication facilities, including such as photonics heterogenous integration and flat optics integration.
• Design of Experiments (DOE) for both design and process margin checking and process control.
• Baseline integration process development and standardization for both photonics heterogenous integration and flat optics integration.
• Lead the inline defect analysis and process DOE towards yield improvement.
• Lead the inline process metrology data taking and analysis, device / circuit performance data taking.
• Data analysis and documentation.
• Preparation of technical presentations and papers for internal meetings, as well as conferences and journals.
• Collaborate with project team to ensure quality and on-time delivery for various projects.
• Performs other duties as assigned.

Qualifications:

• PhD in Integrated Photonics, Opto-electronics, Materials Science, Physics or equivalent.
• Strong hands-on experience in CMOS or Photonics integration.
• Minimum 10 years working experience on commercial foundries or equivalent.
• Minimum 10 years project and team management skill.
• Strong communication, industry awareness, and problem-solving skills.
• Strong self-motivation and interest in the next-generation advanced photonics technology and product development.

Research project: Connecting within-host viral dynamics with the epidemiology of COVID-19: a multiscale computational infrastructure

In this project, we aim to develop a multiscale modeling framework and computational infrastructure to connect within-host viral dynamics/antibody dynamics and between-host transmission dynamics. The multiscale model will help address key epidemiological and public health questions which could not be answered by classic (single scale) approaches. Specifically, we plan to develop and calibrate the multiscale model for SARS-CoV-2 and assess effect of intervention (e.g., antiviral treatment) on epidemiological dynamics.

This project is led by Keisuke Ejima, an Assistant Professor at Lee Kong Chian School of Medicine, Nanyang Technological University.

The Research Fellow primarily leads the project under supervision of PI in the areas of collecting clean data, reviewing literatures, lead model development, lead data analyses, leading the manuscript writing and other areas of the project support.

Candidates should have a Master degree in a quantitative field, such as data science, computational biology, mathematics, computer science, (bio)statistics, or related field. Research experience and/or educational background on public health and medicine is a plus but not essential. Computational experience on R and MONOLIX is preferred. Good communication skill and respectful attitude for teamwork. The successful applicant will work as part of a growing and energetic team, focusing on quantitatively understanding biological mechanisms of infection and its impact on both individual and population health.

The Carney lab investigates the cell dynamics in the skeletal system and epithelia. Its analyses have implications for fundamental cell biology, evolution, genetics and clinical underpinnings of disease. Guided by issues facing the clinic, the lab has recently modelled diseases affecting skeletal system and has developed a model of bone necrosis.

We are currently recruiting a Research Associate to work on interrogating a zebrafish model of a clinical bone necrosis. Working closely with a Postdoctoral Research Fellow, the job will include molecular biology, animal husbandry, cloning, transgenesis and genotyping as well as imaging approaches. Furthermore, the applicant will be expected to offer general support in laboratory maintenance tasks, including laboratory supply and inventory control, procurement and routine genotyping and fish line maintenance. The successful applicant will have access to superb facilities and a broad range of scientific technology, reagents, and equipment, within a dynamic, international and multidisciplinary scientific environment.

Candidates should possess a Master degree in Biological Sciences or similar, be highly motivated, with a strong work ethic, initiative and an ability to multitask and learn techniques rapidly. The applicant will also be independent, yet able to work in a close team towards common goals. Good organizational, record-keeping, communication and team-based skills are essential, as is awareness of workplace health and safety requirements. Experience with zebrafish or similar model organisms and molecular cloning techniques will be highly regarded. The candidate must have a demonstrable ability to contribute to manuscript preparation and report writing, including literature scanning database searches and statistical analyses of data.

Key responsibilities:

• Plan and conduct molecular biology experiments
• Perform cell labelling approaches and microscopy
• Image analysis and generation of figures
• Record keeping and statistical analysis of data
• Presentation of data in appropriate medium
• Lab keeping and procurement

About the Role:

We are seeking a highly motivated Research Assistant to join our interdisciplinary team addressing critical issues in advancing sketch prototype concept creation using Large Multimodal Models (LMMs). This role involves contributing to a groundbreaking project aimed at developing and studying novel means of interaction with state of the art LMMs that the research team will develop.

Key Responsibilities:

• Develop, refine, and deploy our sketching application
• Collect and analyse data from the prototype
• Collaborate with a multidisciplinary team to integrate LMMs into the sketching application.
• Help conduct empirical research, including designing studies, recruiting participants, and managing experimental data.
• Contribute to the design and development of interaction techniques for novel human-AI interactions.
• Support the team in writing research proposals, progress reports, and academic papers.
• Engage actively with project stakeholders to facilitate the adoption and implementation of research findings.

Qualifications, Skills, Experience

• Bachelor’s or Master’s degree in Psychology, Computer Science, Data Science, or a related field.
• Strong interest in rapid prototyping and human-AI interaction, particularly in LMMs.
• Experience in research methods, statistical analysis, AI and LMMs.
• Excellent organisational and communication skills.
• Ability to work collaboratively in a team environment as well as independently.

About the Role:

We are seeking a highly motivated Research Assistant to join our interdisciplinary team addressing critical issues in mental health using AI technologies. This role involves contributing to a groundbreaking project aimed at developing AI-driven tools for mental health support, with a focus on detecting and treating mental health disorders and distress through digital platforms.

Key Responsibilities:

• Assist in the development and refinement of algorithms designed to detect social communication patterns and signs of mental distress.
• Participate in the design and testing of AI models, including data collection, preprocessing, and analysis.
• Collaborate with a multidisciplinary team to integrate AI tools into social media and messaging apps to offer real-time mental health support.
• Help conduct empirical research, including designing studies, recruiting participants, and managing experimental data.
• Contribute to the development of empathetic conversational support systems facilitated by human-AI interactions.
• Support the team in writing research proposals, progress reports, and academic papers.
• Engage actively with project stakeholders to facilitate the adoption and implementation of research findings.

Qualifications, Skills, Experience

• Bachelor’s or Master’s degree in Psychology, Computer Science, Data Science, or a related field.
• Strong interest in mental health research and AI technologies.
• Experience in research methods and statistical analysis, preferably with exposure to machine learning or natural language processing.
• Excellent organisational and communication skills.
• Ability to work collaboratively in a team environment as well as independently.
• Prior experience in handling sensitive data and ethical considerations in mental health research is advantageous.

Research project: Connecting within-host viral dynamics with the epidemiology of COVID-19: a multiscale computational infrastructure

In this project, we aim to develop a multiscale modeling framework and computational infrastructure to connect within-host viral dynamics/antibody dynamics and between-host transmission dynamics. The multiscale model will help address key epidemiological and public health questions which could not be answered by classic (single scale) approaches. Specifically, we plan to develop and calibrate the multiscale model for SARS-CoV-2 and assess effect of intervention (e.g., antiviral treatment) on epidemiological dynamics.

This project is led by Keisuke Ejima, an Assistant Professor at Lee Kong Chian School of Medicine, Nanyang Technological University.

The Research Fellow primarily leads the project under supervision of PI in the areas of collecting clean data, reviewing literatures, lead model development, lead data analyses, leading the manuscript writing and other areas of the project support.

Candidates should have a Master degree in a quantitative field, such as data science, computational biology, mathematics, computer science, (bio)statistics, or related field. Research experience and/or educational background on public health and medicine is a plus but not essential. Computational experience on R and MONOLIX is preferred. Good communication skill and respectful attitude for teamwork. The successful applicant will work as part of a growing and energetic team, focusing on quantitatively understanding biological mechanisms of infection and its impact on both individual and population health.

The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Fellow.

Key Responsibilities:

• Conduct research on mechanics of pollen-based materials, plant morphogenesis, and morphing structures
• Collaborate with team members (Research Associates, Project Officers, PhD students), and mentor undergraduate students, visiting scholars and researchers
• Conduct modelling, simulation and experimental research on mechanics of pollen-based materials
• Explore applications in fields of shape morphing structures and devices

Job Requirements:

• PhD degree in Mechanical Engineering or Materials Science or relevant field
• Research experiences in mechanics of materials and plant morphogenesis
• Good publication record
• Proficiency in research design and research collaboration
• Good communication skills and fluent in spoken and written English as required for research work.

We regret that only shortlisted candidates will be notified.

Job Description

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a full-time Senior Research Fellow for the Health Systems and Behavioural Sciences domain.

Duties and responsibilities

- Establishing an independent research programme in the area of health promotion and implementation science to address health related behaviours and mental health;
- Undertaking literature reviews, leading on analysing data, writing reports, presentations, and publication of results and findings in peer-reviewed journal
- Collaborating and coordinating with multi-disciplinary team of experts and researchers in other national and international institutions
- Responsible for adapting, maintaining, evaluating and reporting the results of your work to a range of stakeholders
- Course design and teaching
- Supervision of junior team members and graduate student

Qualifications
- A recognized Doctoral degree in a relevant discipline with a strong post-doctoral research record;
- Track record of publishing in international peer-reviewed journals;
- Ability to generate and maintain an independent stream of funding;
- Ability to teach public health courses at both undergraduate and graduate levels;
- Ability to work in multidisciplinary teams;
- Ability to work with culturally diverse populations.
- Excellent written and oral presentation skills

The grade of appointment will be based on candidate’s academic qualifications and years of relevant experience.

Recruitment is open immediately, and will continue until the position is filled. Applicants should send a brief statement of interest, CV, three named references, and other supporting documents during the application.

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

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

Key Responsibilities:

• Develop mathematical modeling of real-time edge intelligent algorithms to support multimedia-based metaverse services
• Develop and implement optimization algorithms for resource management by using mathematical tools and machine learning techniques

Job Requirements:

• Bachelor's degree in Computer Science, Electrical Engineering, or related disciplines
• Strong research experience
• Good track record of publications
• Good teamwork and collaboration skills
• Research background in stochastic process, machine learning, and optimization

We regret that only shortlisted candidates will be notified.

Marketing and Research Internship Opportunity:

Famous Amos Singapore is seeking a motivated and detail-oriented Marketing and Research Intern to join our dynamic team. This role is perfect for students pursuing business-related studies who are eager to gain practical, hands-on experience in marketing, consumer behaviour analysis, and project management. As part of our team, you will play a key role in helping us expand our brand presence and better understand market trends and customer preferences.

KEY RESPONSIBILITIES:

· Research & Information Gathering: Conduct thorough market research to gather data on industry trends, competitor activities, and consumer behaviour, providing key insights to inform marketing strategies.

· Marketing Programme: Assist in the planning, coordination, and execution of marketing campaigns, ensuring all deliverables are met on time and contributing ideas to drive customer engagement.

· Data Analysis: Analyze marketing performance metrics and customer data, identifying trends and actionable insights to optimize ongoing and future marketing efforts.

REQUIRED SKILL/QUALIFICATIONS:

· Currently pursuing a Diploma/Degree in Business, Marketing, or related fields

· Strong analytical skills with the ability to interpret data and generate actionable insights

· Excellent verbal and written communication skills

· Ability to analyse and present data

· Proficiency in Microsoft Office (Excel, Word, PowerPoint) and Adobe Photoshop/illustrator for edit of artworks

· Familiarity with digital marketing platforms and social media is a plus

· Strong attention to detail and time management skills

· Eagerness to learn and take on new challenges

Duration : 3 months

Marketing Duties:

- Compile monthly marketing reports

- Prepare marketing slides

- Analyse results of marketing performance metrics i.e. ads, events, activities

- Manage social media schedules

- Create social media content and marketing material i.e. concepts, videos, visuals

- Participate in company and marketing events

- Update marketing database

- Attend to social media enquiries and replies

- Assist in other marketing and admin duties

Marketing Research Duties:

- Research upcoming industry events, attend events and present findings

- Research upcoming events and networking events

- Weekly competitor watch i.e. product offerings, price lists

- Daily news monitoring of industry trends

Job Requirements:
1. Proficiency in content creation, market research and copywriting.
2. Strong communication and interpersonal skills.
3. Ability to work effectively in a team environment.
4. Basic understanding of marketing principles and strategies.
5. Currently pursuing or completed a Marketing Diploma qualification.

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

• Literature review.
• Algorithm and signal processing pipeline design.
• SNN design and implementation.
• Data analysis and evaluation.
• Writing papers.

• Minimum Bachelor's degree in Computer Science, Information Technology, Information Systems or closely related disciplines.
• Minimum 0.5 years of relevant research experience in SNN or signal processing.
• Basic knowledge/Proficiency in programming software/languages such as Python and C will be positively considered/ is required.
• Demonstrated experience and know-how on developing DNN or SNN.
• Experience with at least one programming software/languages, such as Python or C is preferred.
• Excellent working knowledge of signal processing.
• Good analytical, technical and problem solving skills.
• Applicants with research publications in general AI area will be advantageous.
• Self-motivated individual who can work independently and also collaboratively with team members.

#LI-JN2

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.

About Asian Institute of Digital Finance

The Asian Institute of Digital Finance (AIDF) is a university-level institute in the National University of Singapore (NUS), jointly founded by The Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be a thought leader, a FinTech knowledge hub, and an experimental site for developing digital financial technologies as well as for nurturing current and future FinTech researchers and practitioners in Asia.

Duties and Responsibilities

The successful candidate will play a critical role in supporting AIDF’s research efforts by maintaining AIDF’s IT infrastructure and enhancing the Institute’s IT capabilities. This job role will include:

• Optimisation and maintenance of AIDF’s servers, hardware, websites and database subscriptions to meet our core objectives
• Provide IT infrastructure and software systems assistance for AIDF colleagues and research partners
• IT support for research and office administration
• Event support: Help with IT set-up and other tasks as required

Qualifications

• Bachelor Degree in Networks and Telecommunication or related fields
• Knowledge of Basic Server Management a plus
• 2 years of minimum experience

Our client is a Non Profit Organization (NGO). They are looking for an Assistant Head of Research Centre to assist their team for the next phase of their business. They are located in Central, easily accessible.

Responsibilities of Assistant Head of Research Centre:

• Guide junior team members in researching Singapore’s unmet needs and oversee value proposition presentations for donors and stakeholders.
• Summarize and present research insights clearly for non-research audiences.
• Initiate and manage research projects aligned with organization’s philanthropic goals.
• Collaborate with external researchers to address key unmet needs.
• Ensure research findings inform donor engagement and grant-making.
• Stay updated on sector trends and share knowledge with the team.

Requirements:

• Postgraduate qualification in research for Social Science related studies
• Min 6 to 8 years of working experience in similar industry is highly prefered
• Strong in research paper writing and presentation skills

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R22108850 (Chan Mun Mun)

Location: Hougang

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

Job Responsible:

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

Administrative:

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

Requirement:

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

Interested applicants can email your CV to [email protected] or whatsapp to +65 89249206

The Supreme HR Advisory Pte. Ltd || 14C7279

Chua Jie Ying (Cai Jie Ying), Evelynn || EA Personnel License R24120580

Title : English langauge, Maths or Science Tuition Teacher

Salary: $3000 - $3500

Working Days: 3 Weekdays (3PM - 9PM) + Weekend (Both Sat & Sun ; 9AM - 6PM)

Working Location: Hougang

Job Responsible:

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

Administrative:

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

Requirement:

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

Email: [email protected]

Tan Yong Zhi (Jackson) | Reg: R24124461

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