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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

• 2 year contract + perm benefit

• Nearest MRT: Tampines East

• Previous experience in research is more advantageous.

Job Description

1. Support the conceptualisation and management of studies related to correctional research and evaluation.
2. Conduct literature reviews and write reports.
3. Collect and analyze research data.
4. Provide publication-related support.
5. Coordinate with internal and external parties to facilitate research studies or related requests.
6. Maintain online knowledge management initiatives and miscellaneous management of e-resources.
7. Any other duties as assigned.

Job Requirement

1. Singaporean only.
2. Min Degree (Preferably Degree in Psychology/Social Sciences/ relevant qualification).
3. Strong writing, interpersonal, and communication skills.
4. Proficiency in statistical software (SPSS).
5. Previous experience in research is more advantageous.

*Salary offered depends on experience and qualification.

Interested candidates please click “Apply Now”.

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

Nicky Yew Soo Ee

Fulfillment Team

BGC Group Pte Ltd

EA: 05C3053

Registration No: R22109448

Job description – Digital technologies and Artificial Intelligence (AI) in preventing and monitoring dengue and Covid-19: A comparative study of Singapore and other countries

Position: Research Assistant (Bachelor degree/Master level)
Contract: 4 months
Location: Singapore, CNRS@CREATE (NUS campus)

We are seeking a motivated Research Assistant (RA) to support a multidisciplinary project that investigates prevention strategies for dengue and Covid-19 in Singapore (https://www.cnrsatcreate.cnrs.fr/space/). The research emphasizes the transformative role of digital technologies and AI in public health management.

Tasks:

• Conduct literature reviews on the use of digital technologies and AI applications in public health, focusing on dengue and Covid-19 prevention, monitoring, and control.
• Assist with data collection through interviews with stakeholders (public health officials, tech developers, researchers) and through document analysis of government reports, policies, and relevant publications.
• Support comparative analysis of prevention strategies, focusing on digital technologies (mobile apps, AI, IoT, drones) used in different countries.
• Analyze secondary health data (e.g. dengue incidence rates, app usage statistics, etc.) and integrate qualitative findings from interviews.
• Assist in preparing academic manuscripts, policy briefs, and presentations.

Qualifications:

· Bachelor's or Master's degree in public health, geography, urban studies, data science, or a related field.

· Experience with qualitative research methods.

· Strong interest in digital technologies, AI, and public health in Asia.

· Proficiency in literature reviews, data analysis, and report writing.

· Excellent communication skills and the ability to work in a collaborative environment.

Preferred skills:

· Knowledge of health policies and urban public health challenges in Asia.

• Familiarity with research ethics, especially in relation to interviews or handling public health data
• Familiarity with Southeast Asian contexts, especially Singapore and neighboring countries.
• Proficiency in English, both written and spoken, is essential. Proficiency in additional languages spoken in Southeast Asia would be a plus, though not required.

· Ability to work independently with minimal supervision, effectively managing time, staying organized, and ensuring timely completion of tasks.

Additional information:

· The applicant must be based in Singapore and have the right to work there.

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

Application: Please send your CV, a cover letter, and one writing sample (e.g., academic paper, report) to elisabeth.peyrouxatcnrs.fr. In your cover letter, please highlight your relevant experience and explain why you are interested in this research project.

Application Deadline: 16 December 2024

Start Date: 2nd of January 2025

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking to recruit a research fellow to join the Bezos Centre for Sustainable Protein at the National University of Singapore (NUS) launched on 5 September 2024, the first of its kind in Asia to advance research in alternative proteins. Led by experts from NUS and research institutes in Singapore, the Centre aims to drive global food security and accelerate regional innovation. The focus will be on microalgae research and biomass fermentation, to produce high-quality, affordable, and sustainable microbial proteins from microalgae and biomass fermentation that can be further developed into cultured meat and plant-based protein hybrids. Microbial proteins will be cultivated through fermentation and processed using emerging bio-physical techniques for effective biotransformation, to improve digestibility, flavour, and nutritional profile. The research will also investigate methods to scale up the production of alternative protein products. More information about the centre can be found here: https://www.fst.nus.edu.sg/bezoscentre/.

As a research fellow, you will lead projects to optimise microalgae cultivation processes and apply bio-physical techniques to improve nutritional and organoleptic properties. Appointments will be initially made on a 1-year contract, renewable for up to 5 years.

Responsibilities:
- Conduct research activities in accordance with the Centre objectives involving but not limited to:
i. Conversion of industrial food side-streams into media suitable for microalgae cultivation.
ii. Microalgae cultivations in flask and benchtop bioreactors under batch, fed batch, or continuous modes.
iii. Conduct chromatographic, spectroscopic, and fluorescent analyses to monitor microalgae growth.
iv. Monitor the success of bio-physical techniques via in vitro digestibility studies, chromatography, and advanced microscopic analyses.
v. Assist in scaling up cultivations to pilot scale setting.
- Conceptualise new ideas, plan, and drive the overall direction of projects.
- Independently execute experiments, analyse data, and interpret results in a systematic and logical manner.
- Prepare formal reports, publications, grant applications, and presentations.
- Contribute to project management by overseeing budgets, designating resources, monitoring progress, and managing stakeholders.
- Mentor research assistants, graduate and undergraduate students.
- Coordinate research efforts with an interdisciplinary and international team of researchers within the Centre and other stakeholders.
- Coordinate procurement and liaison with vendors/suppliers.
- Ensure proper laboratory operation and equipment maintenance.
- Other duties as required.

Applications:
Please include the cover letter, CV (including personal particulars, academic and employment history, complete list of publications/oral presentations), academic transcripts, university certificate, and the contact information of 3 referees in your application. Only shortlisted candidates will be notified.

Qualifications

- A PhD degree in food science, bioprocess engineering, chemical engineering, microbiology, or a related discipline.
- Hands-on-experience in any of the following areas: single-cell biomass cultivation, chromatographic analytical methods, flow cytometry, upcycling of food side-streams, bioreactor or fermenter operation, qPCR, design of experiments, in vitro digestibility studies, single-cell downstream processing. Other areas where the candidate can prove its utility towards microalgae/biomass fermentation for food applications are also welcome.
- Proven track record in peer-reviewed research publications and presentations at international conferences.
- Excellent problem solving, critical thinking, and analytical skills.
- Strong verbal and written communication skills in English are required.
- Excellent communication and interpersonal skills to collaborate within a culturally diverse and cross-disciplinary team, and other stakeholders.
- Proactive, with the ability to conduct experiments independently.
- Highly motivated in developing sustainable and novel foods.
- Meticulous, well-organised, and detail oriented.

As a member of the respondents, you will be part of the team responsible for operational support of Authority's Data Centres (DCs) and expected to work independently. Your primary responsibility is to ensure system functionality, availability, data security, and compliance with industry standard. This includes:

a. Facilitating, monitoring and resolving any IT Infra (Hardware) service request/fault.

b. Conducting regular audit check to ensure vendor/user comply to Authority's DC policies/processes.

c. Ensuring smooth DC operation such as coordinating with Facility Management (FM) for any M&E matters.

You will be working closely with all levels of IT Infra support team and is expected to operate, excel, maintain and monitor operating systems of the Data Centres (DCs) whenever and whatever support service for the enterprise system. This includes being on 24 x 7 standby for response and scheduled maintenance events.

Job Scope:

Data Centre Operation Management

1. Work with user (with/without vendor support) for any escorting/installation/decommission/replacement of IT Infra equipment hosted inside the Data Centre, ensuring compliance to Authority policies/processes and update relevant inventories accordingly.

2. Carry out periodic checks inside Data Centre, looking out for any:

a. Unreported IT Infra hardware fault

b. Environment issue to be addressed (e.g.: Faulty lighting, item obstructing airflow)

c. Abnormality status of facility system (e.g.: Air-con) and report it to Facility Management (FM)

d. Non-compliance

e. Collect power utilization statistic (if required)

3. Manage, procure and support provision of Data Centre equipment/systems, peripherals, spares, user documentations and technical manuals.

4. Utilise alerting and reporting systems/tools to monitor Data Centre operation and relevant M&E related equipment status (If deemed required by the Authority).

5. Work with Asset Management (AM) to perform asset tagging for IT infra equipment.

Requirements:

- Diploma in Electrical Eng., Computer Eng., Information Technology or equivalent with at least 1 year of experience in system administrator role.

- Basic understanding of Network knowledge and components

- Experience in administrating Linux (Redhat) and Windows Server (2016-2025) OS

- Experience in managing virtualization technologies like VMware server/ESXi

- Relevant DC-related professional certifications, such as EPI Certified Data Centre Professional (CDCP) or Data Centre Certified Associate (DCCA) is a plus.

Primary Responsibility

•Defining requirements for exercise and health-tech projects.

•Assist in Project Management.

•Developing exercises for the elderly consumers.

•Developing health-tech product for elderly consumers.

•Perform data analytics for efficacy of intervention methods.

Secondary Responsibility

•Assist in designing and collaboration with sports science researchers.

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

Requirement

•Sports Science degree of diploma.

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

•Must have interest in a total system development.

•Problem solving skillset is a must.

Benefits

•Work in a dynamic pace and product rich environment.

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

•Abundance of deep-tech learning experience.

The Laboratory of Surgical System & Service Innovation (3SI) is a multi-disciplinary laboratory that provides a platform for cutting-edge surgical health services research that informs healthcare systems, policies, and programs to provide high-value, patient centered care for patients and their families undergoing surgery.

We are looking for an enthusiastic, dynamic, meticulous, and responsible research fellow or senior research coordinator with expertise and experience in qualitative research methods to complement the team. You will be part of a holistic clinical and health services research team whose mission is to improve clinical outcomes for seriously ill patients in surgery.

Among others, your role will focus on qualitative and ethnographic research, and this may include assisting with study design, implementation, in-depth qualitative interview, coding, and qualitative analysis.

*Successful Applicant with Degree or Master's Degree as highest academic qualification will be offered Senior Research Coordinator position, while PhD holders will be offered Research Fellow position.

Main Responsibilities:

1. Qualitative research

• Design and implement new studies/ programmes
• Create interview guides and focus group discussion frameworks
• Conduct in-depth interviews
• Manage and organise field notes and recordings
• Transcribe audio recordings accurately
• Conduct analysis of qualitative data

2. Data Collection, Management, Analysis

• Gathering data from various sources and organizing it for analysis
• Performing statistical and data analysis techniques to generate insights from the data
• Data quality control – Ensuring accuracy and completeness of data through data validation and cleaning

3. Presentations & Data Visualization

• Analysis Report Generation: Producing reports and presentations to communicate findings and recommendations
• Data Visualization: Creating visual representations of data to effectively communicate insights
• Preparation of presentation slides and posters for submission to local and international conferences
• Preparing manuscript suitable for publication

Main Requirements

• Bachelor’s / Master’s degree or PhD in the healthcare related fields, social sciences or psychology such as, but not restricted to: Sociology/ Anthropology, Social Work, or Public Health
• At least 5 years of work experience in non-research sector that demonstrates candidate’s ability to work independently and in a team, manage projects, analyze data, write reports and communicate effectively.
• OR At least 2-3 years of qualitative research experience (e.g., participatory action research, ethnographic research, evaluation research, culture-centered approach) which demonstrates candidate’s ability to work with qualitative research team, and conduct fieldwork in local settings with people from different walks of life.
• Demonstrate ethical considerations, sensitivities and competencies working with older adults and/or vulnerable populations.
• Interest in conducting both evaluation and exploratory research that impact policies and programmes relevant to health/serious illness/palliative care/ageing/surgery/disparities
• Experience in using NVIVO 11/12 qualitative analysis software
• Demonstrate versatility in conducting qualitative research analysis (eg. discourse analysis, grounded theory, phenomenological analysis, narrative inquiry, constructivist, thick description, reflexivity/ standpoint, political economic analysis)
• Able to work independently and interactively in a team setting, motivated, responsible and a fast learner
• Passionate about clinical and health service research to bring about positive impact to patients

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated and skilled research scientist to join our team in the development of advanced materials through self-assembly techniques for selective ion capture and transport. The candidate will be responsible for designing, synthesizing, and characterizing sponges and membranes with tailored properties to facilitate the selective separation, capture and transport of specific ions.

• Design and conduct research on self-assembly methods for fabricating sponges and membranes with controlled porosity and surface chemistry
• Develop protocols for ion-selective capture and transport, focusing on optimizing materials for applications in filtration, water purification, and ion recovery
• Synthesize and characterize various materials, including polymers, hydrogels, and nanomaterials, to create functional sponges and membranes with desired selectivity
• Perform material characterization using techniques such sa SEM, TEM, FTIR, XRD, and surface area analysis to assess structural properties
• Evaluate the ion capture and transport efficiency of synthesized materials through experimental testing in simulated environments

Job Requirements

• PhD in Materials Science and Engineering
• Strong background in self-assembly techniques, membrane fabrication, polymer science, and nanomaterials
• Experience with material characterization techniques such as SEM, TEM, FTIR, XRD, and ion transport testing
• Demonstrated experience in ion capture, separation, and transport processes, with a focus on designing materials for selective applications

Job Overview

At BlueTree Education, we're not just a place of learning; we’re a vibrant, close-knit family where every day is an opportunity to make a difference and have fun doing it.

We offer a competitive remuneration package, a profit-sharing scheme that rewards your hard work, and we're open to fresh faces eager to start their teaching career! We provide the training and support you need to shine. And if you're looking for part-time opportunities, we’ve got you covered.

We believe in creating an environment where our teachers and students thrive, laugh, and grow together. If you're looking for a role where your expertise is celebrated, your creativity is unleashed, and your work-life balance is respected, then look no further!

Job Highlights

• Part Time Opportunities Available
• 3.5 to 4 day Work Week Arrangement
• Open to Fresh Graduates
• Junior - Senior Level Positions Available
• Competitive Remuneration Package
• Profit Sharing Scheme
• Supportive Culture
• Work-Life Balance (With only one weekend required!)
• Opportunities for Growth

Responsibilities

What You Will Do

• Open to Different Experience Levels: Whether you are a seasoned educator or just starting your teaching journey, we value your unique perspective and energy.
• Teaching Experience (Advantageous): Prior experience in teaching, whether through volunteering, peer teaching, or professional roles, is highly regarded.
• Passion for Teaching: A genuine love for inspiring and educating young minds, with a dedication to making a positive impact in students' lives.
• Academic Background: Strong academic performance in relevant subjects, with O/A level Math or Science qualifications being an added advantage.
• Positive Attitude: A can-do, positive mindset that fosters a welcoming and encouraging classroom environment.
• Team Player: Strong collaborative skills, with the ability to work effectively with colleagues, parents, and the school community to support student success.
• Content Knowledge:

1. For Senior Teachers: Extensive knowledge and expertise in the relevant subject area, with the ability to teach complex concepts and mentor junior teachers.
2. For Junior Teachers: Sufficient understanding of the subject matter, with a willingness to learn and grow under the guidance of senior staff.

• Willingness to Travel: Flexibility and readiness to teach at two different branches, ensuring consistent quality of education across locations.

Qualifications

What Makes You Shine?

• Passion for Teaching: You’re enthusiastic about Maths or Science (Physics & Chemistry) and love working with young learners.
• Positive Attitude: You bring energy, creativity, and a can-do spirit to the classroom.
• Team Player: You thrive in a collaborative environment and are ready to contribute to our family-like culture.
• Experience Counts: Whether you’ve volunteered, peer-taught, or professionally taught before, your experience is a valuable asset.
• Maths or Science Scholar: If you’ve excelled in O/A level Maths or Science (Physics & Chemistry) subjects, that’s a big plus!
• Willingness to Travel: You’re willing and ready to travel between our two branches, embracing the variety and opportunity this brings.

Working Hours

• Weekdays: 10.30 am - 7.00 pm or 1.00 pm - 9.30 pm
• Weekends: 8.30 am - 5.30 pm or 9.00 am - 6.00 pm

Locations

• Sengkang & Tampines

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 incumbent will provide administrative support to the Undergraduate Studies Section, Dean's Office, Faculty of Science. Duties and responsibilities include, but are not limited to the following -

1) Faculty Co-ordinator for timetabling

• Keep abreast of Science Faculty Curriculum Committee (SFCC)/Board of Undergraduate Studies (BUS)/University Committee on Educational Policy (UCEP)/Senate approved proposals to facilitate planning and scheduling of classes and examinations.
• Coordinate with departments for planning of following academic year's timetable in the Class and Examination Timetabling System (CMIS).
• Update class and examinations timetable changes as and when required.
• Work with departments to verify accuracy of data and resolve any issues for the purpose of Student Feedback Exercise.

2) Pre-examination preparation and during examination support

• Plan and coordinate examination activities for each Academic Year according to the timelines and deadlines stipulated by Registrar's Office.
• Coordinate system updates for examinations related information and ensure data is appropriately entered.
• Act as liaison between Registrar's Office and departments to ensure that all necessary information are disseminated and shared with all parties involved.
• See to the examinations logistical requirements as well as arrangements for students with special needs.

3) Post-examination activities

• Coordinate and work closely with departments to complete the necessary checks and comply with the examinations processing schedule stipulated by Registrar's Office.
• Perform the duties of Faculty's Board of Examiners Secretariat and ensure that decisions made are updated accurately and quickly in Edurec and followed through.
• Plan, conduct and prepare report for examinations audit.

4) Undergraduate Studies Section duties

• To be rostered for section duties such as taking notes of regular section meetings, replying to email enquiries from students, and counter duties.

5) Others

• Provide assistance at University/Faculty level events such as Open House, Freshmen Orientation Briefing, and Commencement.
• Any other duties as assigned by the Vice Dean.

Qualifications/Requirements/Other Info

• Degree holder with positive learning attitude.
• Experience in timetabling and scheduling will be advantageous.
• Proficient in Microsoft applications.
• Ability to work under pressure and multi-task in a fast-paced environment with multiple timelines and demands.
• Ability to exercise tact and discretion in handling sensitive and confidential information.
• Possess effective oral and written communication skills.
• Mature, independent, adaptive and meticulous.
• A team player with the ability to interact well with all levels of stakeholders.

- Remuneration is based on a 12-month salary structure, with annual variable bonus which is subject to incumbent’s performance and the University/School’s prevailing remuneration policies.

- The incumbent will be emplaced at an appropriate appointment grade based on his/her individual merits.

Responsibilities:

• Conduct door-to-door surveys in designated areas - DoS Addresses will be provided, 1 block / address block can do n=10 surveys
• Meet survey quotas within deadlines.
• Engage and persuade respondents for participation.
• Duration of survey is 5-15min

Requirements:

• Strong communication skills.
• Approachable and friendly.
• Comfortable with tablet usage.
• Commitment period: Start immediately to Jan

Benefits:

• Flexible working hours
• Rate: $10-14 / survey, depending on branching & house type

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).

About the Scientific Data Strategy Office at A*STAR

With data at the core of A*STAR's vision to be Singapore's Data, AI, and Hybrid Compute node for scientific research, the newly established Scientific Data Strategy Office (SDSO) is responsible for strategizing the delivery of Whole-of-A*STAR data products and services. The SDSO also advocates for data literacy and partnerships to create value while ensuring safe usage of scientific data through best practices.

To realize these ambitions, the SDSO is tasked with:

1. Establishing A*STAR's scientific research data management framework:

• Developing and updating policies to promote good data management practices.
• Enforcing data security and compliance with standards, agreements, and regulatory requirements.
• Collaborating with other public or private sector data departments on data quality, standards, and interoperability.

2. Establishing A*STAR's scientific data architecture:

• Defining data products from new and existing cross-domain scientific data assets to support research use cases.
• Forging strategic data partnerships at both national and international levels to enrich A*STAR's data assets.
• Developing best practices for data engineering to transform data assets into products.

3. Establishing A*STAR's scientific data advocacy framework:

• Defining data services from new and existing cross-domain scientific data assets to empower Whole-of-A*STAR to be more data-driven through self-help.
• Developing data advocacy initiatives to raise awareness and literacy in scientific data management, products, and services.
• Connecting A*STAR's data framework with other national (e.g., MOH's TRUST and GovTech's enTRUST) and global data frameworks.

Job Descriptions

We are seeking an experienced Data Management Specialist (DMS) to join A*STAR. Reporting to the Director of the Scientific Data Strategy Office (SDSO), the DMS will support the development and implementation of A*STAR's scientific research data management activities, enhancing data accessibility, quality, and security to foster innovation and collaboration across research teams.

Key Responsibilities:

• Framework Development: Develop and enhance A*STAR's scientific research data management framework and guidelines, including data classification, ownership, and stewardship, leveraging proven frameworks and best practices.
• Policy Implementation: Define and implement data exploitation policies and processes across research teams and departments within A*STAR, ensuring data access, quality, and usability.
• Service Definition: Define and maintain data management services to promote and ensure the safe and secure usage of A*STAR scientific data.
• Data Sharing: Develop data sharing policies and agreements to support external data exploitation for scientific research purposes.
• Quality and Standards: Provide requirements on data quality, standards, and interoperability/collaboration within and beyond A*STAR.
• Evaluate Impact: Establish an evaluation framework to measure the value and impact of the SDSO's data management strategies and initiatives.
• Advise on Trends: Provide insights and updates to A*STAR management and research staff on industry trends, standards, relevant data laws, and regulatory requirements related to data management, recommending appropriate modifications to existing policies and practices.

Job Requirements:

• Experience: 5-8 years of experience in data management, with prior experience in developing and implementing data management frameworks and policies.
• Education: Bachelor's degree in Computer Science, Data Analytics, Data Science, Data Engineering, Information Management, or a related field. A Master's degree or certifications in data management are preferred.
• Technical Skills: Deep understanding of data management strategies, practices, policies, procedures, data security standards, and privacy laws.
• Analytical Skills: Strong analytical capabilities to assess the efficacy of data management strategies.
• Mentorship: Ability to mentor junior officers.
• Communication: Excellent communication, presentation, and interpersonal skills.
• Organizational Skills: Strong organizational skills and attention to detail.
• Proficiency: Proficient in relevant data engineering tools and applications.
• Contextualization: Ability to contextualize government policies and industry best practices in data management within A*STAR's context for scientific data.
• Collaboration: Ability to work effectively with various data-relevant stakeholders across A*STAR entities.

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.

Job Title: Heterogeneous Integration Laboratory Officer

Job Description:

Are you a recent graduate eager to dive into the world of cutting-edge electronics? Join us as a Heterogeneous Integration Laboratory Officer and become a key player in advancing next-generation technology. In this role, you’ll gain hands-on experience with state-of-the-art equipment and contribute to groundbreaking research in electronic module integration.

Key Responsibilities:

• Heterogeneous Integration: Engage in the complete process of module integration, including die preparation (dicing and back-grinding) and combining components into fully functional modules.
• Equipment Operation: Operate and maintain various high-tech instruments used in the heterogeneous integration process, ensuring they are in optimal condition and ready for use.
• Process Support: Manage equipment readiness, ensure the availability of processing materials, and perform critical tasks in the integration process.
• Inspection and Analysis: Conduct metrology inspections and analyse color-coded data to ensure the highest quality and precision in integrated modules.

What You’ll Gain:

• Cutting-Edge Experience: Work with the latest technology in heterogeneous integration and contribute to innovative research in advanced electronics.
• Professional Growth: Receive hands-on training and mentorship from experienced professionals, with opportunities for career development within a forward-thinking company.
• Collaborative Environment: Be part of a dynamic team that values your input and fosters a culture of learning and collaboration.

Qualifications:

• Diploma or ITE graduate in Materials Science, Mechanical Engineering, Chemical Engineering, Chemistry, Electrical Engineering, or Electronics.
• We value enthusiasm and a willingness to learn over extensive experience.
• Experience in semiconductors device fabrication or packaging and assembly equipment operations or processes will be added advantage.
• Strong communication skills, industry awareness, and problem-solving abilities.
• Highly motivated and a proactive self-starter with the ability to work effectively in a team.

Why Join Us?:

At "Institute of Microelectronics", we are dedicated to developing talent and providing our team members with the tools and support they need to succeed. We offer a vibrant and inclusive work environment where innovation thrives. Enjoy a range of benefits including ongoing training, career progression opportunities, and the chance to work on pioneering projects.

JOB DESCRIPTION

NGTC (National GaN Technology Centre) in IME is looking for a talent to join its Technology Team for R&D developments. The qualified candidate has opportunities to participate in technical tasks related to RF GaN foundry for the applications up to 140 GHz. This includes the following area:

• Perform experiments to analyse and determine the root cause of failure in GaN devices (e.g. Transistors, Capacitors, Inductors, Resistors, and Diode) and circuits.
• Join the cross-functional teams on appropriate FMEA (Failure Mode Effects & Analysis) techniques to establish an understanding of the failure mechanisms of the devices.
• Drives device reliability/qualification activities, and data correlation studies.
• Manage large & disparate data sets and distil information into concise presentations with possible recommendations as quick feedback to the engineering team.
• Develop new FMEA techniques to improve detection capability, productivity or process optimization.

JOB REQUIREMENT

• PhD degree in Electrical Engineering (EE), Materials Science or Physics, MS degree in EE with 5+ years or BS degree with 7+ years of relevant working experiences.
• > three-year of FMEA experience in step-by-step approach for identifying all possible failures in the semiconductor industry.
• FMEA experience in Wide-Bandgap (WBG) devices (GaAs, GaN) is plus.
• Good knowledge of WBG device physics and its fabrication is a big plus.
• In-Depth understanding of FMEA techniques (e.g. delaying of devices/chips by wet etching or plasma etching and its data analysis) with good hands-on experience in using different analytical techniques (e.g. SIMS, XPS, AES, SEM, FIB-SEM, TEM, AFM, etc.)
• Understanding of semiconductor device qualification standard such as JEDEC.
• Excellent report writing and presentation skills, able to robustly defend data analysis and conclusions where necessary.

OTHER ESSENTIAL ATTRIBUTES

• Good team-player personality, able to pro-actively engage with other groups
• Self-motivated, energetic, able to delivery in time

Want To Be A PSLE Specialist Rockstar?

We’re looking for a PSLE English, Math and Science Specialist (Permanent Part-Timer) to be well paid based on your value and contributions, rather than your certifications.

An Intro To Our Company

ISUN was established in 2007 with the goal of igniting the sun in every student. Our founders, WaiSun and Lisu, wanted to bring brightness and positivity into the classroom to help their ISUN warriors unleash their full potential without compromising on time to unwind, and spend time with loved ones.

With a student-first approach, we want to put an end to the days of pupils dreading class and taking home mountains of worksheets. Our mission of ‘putting the smile back into learning’ is what inspired our founders to start the ‘Academic Coaching Programme’.

Through this programme, our dedicated coaches equip students with answering techniques and secret scoring sheets (S3) to approach examinations more effectively.

Similarly, our PSLE Power Revision Programme coaches students on methods to tackle PSLE papers and achieve academic excellence through impactful and memorable experiences. Since its inception in 2008, this programme has been raved about by parents and has prepared our students to approach their examinations with confidence.

Through imparting the joy of learning to our students, ISUN has enabled thousands of students to master their subjects with a renewed interest and rekindle a love for learning. Our coaches are driven to go the extra mile for our students; motivating them to strive for excellence and continue to push the boundaries of their learning. ISUN ensures that your child is prepared – not just for exams, but also for the future.

To date, we have more than 90% happy students and parents who attain transformation or AL3 & above or changing their entire life. Even during the challenging COVID period with lessons going online, we’ve kept 100% of our students onboard.

And we’re looking for our next high performer to join us.

You can see what a small fraction of our ISUN parents and students say about us:

https://www.facebook.com/media/set/?set=a.643722659069523&type=3

HOW LIFE IS GONNA LOOK LIKE FOR YOU

Although you'll be only working with us on a part time basis, you are invited and will be connected to the ISUN team in our social events such as company lunch and celebrations (CNY dinner, coaches day dinner, post PSLE celebrations, Christmas parties & more!) .

You’ll learn and connect with our Academic Coaches who have a proven track record with at least 10 years of teaching experiences. If you become that great in what you do, you can have growth in your students referral which means growth in your income!

You’re not going to be a follower in our team, we will constantly contribute and execute ideas that make learning faster, easier and fun for the greatest change in results for the ISUN students.

You can expect yourself to go further into coaching rather than just being an academic specialist in years to come if you are truly passionate in making a change in this industry.

A huge question that’s always asked is “what are the working hours?”. It’s just your teaching slots and 2-3 hours for preparation before classes. At the start, you have to commit your time for the training so that you can transform students easily with a snap of a finger!

So if you want to join a team that doesn't treat you like "just-another-staff", instead, if you want to be treated like a precious member of a small team - you'd be a good fit for us.

WHY YOU SHOULD JOIN US

The work we do here at ISUN Education is much bigger and beyond us.

We support the growth process of many students beyond just academics.

While tons of businesses focus on profits, we focus on making a huge impact that doesn’t just help us profit.

That means by truly having the purpose to help the students to transform their academic results and their lives.

Essentially, the work that you do has a large ripple effect.

If you want to join an education center that serves beyond themselves - you'd be a good fit with us.

HOW TO KNOW YOU’RE THE RIGHT FIT

✅ Someone who is warm, bright and positive.

✅ Someone who will propose ideas, not follow instructions blindly, and has no initiative to do things better.

✅ Relentless hunger to do whatever it takes and learn. You don’t just want to be good, you want to be great.

✅ Minimum an undergraduate. A degree is not needed, you’re paid based on attitude, skills, and results.

✅ Lead by example. You do not make any excuses. Be responsible and give your 101% in each class!

✅ Currently a tutor (be it home tutor or a tutor at a center)

✅ Be open to feedback to learn and grow

MUST HAVE REQUIREMENTS

3 EXTREMELY IMPORTANT THINGS:

1.Must be passionate to teach and produce quality answer keys and engaging content.

2.Must be performance driven. You may or may not be the very best now, but you know you want to be the best in this education industry!

3.Must have a purpose in education. You want to transform lives through the academics platform.

I’M IN! HOW DO I BEGIN?

If you’ve reached this far and you’re still passionate about becoming our new team member and be the future PSLE Superstar…

TAKE THIS SIMPLE TEST BEFORE YOU APPLY

Before you apply, take this simple 4 step test to find if this role is suitable for you or not.

1) Check out the work we do on our Social Media Profiles

https://www.facebook.com

https://www.youtube.com/@isuneducation

If you don’t believe or don’t have the heart to transform students' lives - don’t apply.

2) Ask yourself, “Do I see myself exploring and working with this team for at least the next 2-3 years and become a PSLE superstar?” If the answer is no, don’t apply.

3) Ask yourself, “Do I believe I’m great at what I do and do it much better than most people?” If the answer is no, don’t apply.

4) Ask yourself, “Do I see myself giving it all to the students; and sometimes extra hours not because I have to, but because I've lost track of time?” If the answer is no, don’t apply.

IF YOU DECIDE THAT YOU’VE PASSED THE 4 STEP TEST ABOVE

Send your resume to [email protected]

Lisu

ISUN Education

Giving an education that inspires the Greatness in everyone

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

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

We are looking for experienced individuals with a strong background in computational modelling, thermal energy systems, and machine learning. The hired researchers will join an interdisciplinary team to develop innovative integrations of advanced computational techniques and thermal energy storage solutions, focusing on discovering novel materials and optimizing energy systems through machine learning. Promising solutions developed will be experimentally validated, demonstrated and potentially commercialised at ERI@N.

Key Responsibilities:

• Work closely with colleagues to ensure the requirements of the research project are met
• Conduct computational fluid dynamics (CFD), molecular dynamics (MD), and/or density function theory (DFT) studies for energy material development
• Use artificial intelligence (AI) techniques for material discovery and/or device design
• Use 3D printing techniques to fabricate phase change materials (PCM) composites
• Assist in experimental works or other required works by the PI
• Use data science techniques to process experimental results
• Write scientific papers/technology/reports and other work-related documents
• Develop machine learning algorithms for material discovery and novel heat exchanger design to seamlessly integrate PCMs into thermal systems.
• Fabricate PCM composites with optimized geometries through 3D printing technologies.

Job Requirements:

• Master's degree in Material Science, Chemistry, Mechanical Engineering, Chemical Engineering, Mathematics, or equivalent disciplines from a prestigious university
• At least 1 year of research experience with python, Matlab, or C++
• Experience in CFD/DFT/MD is preferable
• Experience in machine learning is preferable
• Experience in thermal energy storage, hydrogen, and energy systems is preferable

We regret that only shortlisted candidates will be notified.

NTi Technology is a subsidiary of NTi Memtech Pte Ltd. We are a technology company specializing in membrane material research and development, membrane product manufacturing, membrane technology applications and services. NTi has its own fully equipped membrane R&D center and manufacturing base in Singapore to produce high-performance hollow fiber membranes.

Currently, we are looking for engineering, science, business and manufacturing interns with interests in membrane marketing, research, product development, and production.

We Offer:

• Hands-on experience in a full-scale membrane manufacturing facility, from research to production to delivery.
• Mentorship and training from experienced professionals in the field.
• Exposure to industry-standard practices and technologies.
• A supportive and collaborative work environment.

1. Membrane Research Intern:

Responsibilities and duties:

• Support and assist in QC inspections for daily membrane production (lab works).
• Maintain quality-related documentations (soft & hard copy) including SOPs, check lists, reports, etc.
• Support and assist in the testing for new membrane products.
• Assist in the Maintenance and calibration of lab equipment.
• Other related duties assigned.

Requirements:

• Familiar with handling chemicals.
• Strong hands-on capability and independent in performing experiments such as i) general chemical experiments; ii) how to use basic lab equipment like weighing balance, pH meter, pipette and etc; iii) laboratory safety practice. For any other equipment like FTIR, UV-Vis and TOC , they will be trained before they can operate.
• Good understanding of safe lab practice.
• Good written and spoken communication skills. Ability to communicate with equipment and material suppliers/ manufacturers based in China would be advantageous.
• Good team player, self-driven and meticulous.
• Year 3/ Year 4 students are preferred.

SCRIPTS specialises in privacy-preserving technologies (PP-Tech) that are computing techniques used to preserve individual’s privacy while allowing maximum value and insight to be extracted from available data.

Our centre is seeking to hire a Research Fellow to be involved in research and development for the IoT hardware platform and new framework and optimization algorithm for satellite IoT systems.

Key Responsibilities

• Participate in academic activities and system design
• Prepare report and publish high-level academic papers
• Collaborate with other team members to be involved in satellite IoT testing

Job Requirements

• PhD degree in engineering or science
• Have experience in publishing high-level academic papers
• Good skills in hardware design and C/C++ programming
• Knowledge in machine learning or IoT will be an advantage
• Ability to work independently and contribute to the whole team
• Excellent verbal and written communications skills

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

SCRIPTS specialises in privacy-preserving technologies (PP-Tech) that are computing techniques used to preserve individual’s privacy while allowing maximum value and insight to be extracted from available data.

Our centre is seeking to hire a Research Associate to build the IoT hardware platform and design new framework and optimization algorithm for satellite IoT systems.

Key Responsibilities

• Design and develop hardware systems for IoT.
• Participate academic activities
• Assist in on-site experiments and data acquisition in application environment.
• Develop algorithms for spectrum optimization, blockchain and edge computing.
• Publish high-level academic papers
• Collaborate with other team members to build satellite IoT testing systems and draft research report.

Job Requirements

• Master or PhD degree in engineering or science
• Have experience in publishing high-level academic papers
• Good skills in hardware design and C/C++ programming
• Knowledge in machine learning or IoT will be an advantage
• Ability to work independently and contribute to the whole team
• Excellent verbal and written communications skills

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

Research and development (R&D) managers qualifications, including:

• Education: A bachelor's or master's degree in a relevant field, science or technology
• Experience: two years of experience in R&D roles
• Communication: The ability to communicate with various departments across the business
• Leadership: The ability to lead a staff
• Technical expertise: The ability to document and interpret complex requirements
• Innovation: The ability to develop new products, improve existing processes
• Business sense: An understanding of both business and science

R&D managers are responsible for planning and executing strategies to foster new ideas and advancements. A compelling CV for this role should demonstrate a balance of creativity, strategic thinking, and leadership skills

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.

We are seeking a highly motivated and innovative postdoctoral researcher to join our dynamic team at the School of Materials Science and Engineering, Nanyang Technological University, Singapore. The successful candidate will contribute to cutting-edge research at the intersection of 3D printing, optics, sensor, with a focus on materials for optical waveguides and other optical devices.

Key Responsibilities:

• Conduct independent research related to optical waveguide materials and engineering.
• Optimize formulations for UV 3D printing and direct ink writing 3D printing.
• Contribute to ongoing research projects in optics and photonics.
• Design and prototype using CAD software and 3D printing technologies.
• Collaborate with faculty and researchers on interdisciplinary projects.
• Publish research findings in peer-reviewed journals and present at international conferences.
• Assist in mentoring graduate and undergraduate students.

Job Requirements:

• Ph.D. in Material Science, Chemistry, Sensors, or a related field.
• Strong background in formulation for 3D printing.
• Experience with optimization of ink formulation for 3D printing.
• Demonstrated expertise in optics research.
• Proficiency in CAD software and 3D printing technologies.

Desired Skills:

• Proficiency in programming languages such as Python, C++, or MATLAB.
• Experience with machine learning and AI applications in engineering.
• Excellent written and verbal communication skills.
• Ability to work both independently and collaboratively within a team.

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

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.

We are looking for a Research Fellow to drive innovation in soft and stretchable electronic systems by addressing critical challenges in interconnect design, enabling their extensive deployment in advanced applications. The role involves leveraging expertise in flexible electronics, modular soft robotics, and artificial neuron systems to develop intelligent, adaptive technologies that integrate sensing, data processing, and actuation capabilities. The aim is to contribute to the creation of robust, scalable solutions that advance the field of soft interconnects and intelligent devices.

Key Responsibilities:

• Conduct research collaboratively with team members to ensure the timely completion of project deliverables.
• Design, develop, and fabricate soft interconnects for stretchable electronic devices, enabling their integration into functional systems such as wearable and robotic platforms.
• Collaborate with internal and external stakeholders to advance the deployment of next-generation flexible and stretchable electronic systems.
• Assist in grant writing.
• Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers.
• Assist or produce high quality reports and documents that consolidate research findings
• Publish research findings in high-impact journals and present at international conferences.
• Contribute to the mentoring and guidance of junior researchers and students, fostering an environment of learning and innovation within the project team.

Job Requirements:

• PhD degree in mechanical engineering, mechatronics engineering, or related field.
• At least 4 years of relevant experiences in soft robotics
• Expertise in soft robots, actuators, mechanical sensors, strain sensors, flexible electronics.
• Proficiency in mechanical testing, electrical testing, materials characterization, system integration
• Good written and oral communication skills
• Capable of design and assemble of device prototypes.
• Candidates with publications in top-tier scientific journals are preferred.

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