Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

A Research Fellow position is currently available in the School of Physical and Mathematical Sciences (SPMS), working on topological exciton polariton experiments.

Key Responsibilities:

• Fabrication of topological exciton polariton lattices based on novel seminconductors
• Use electron beam lithographic techniques to etch novel lattice patterns
• Perform optical characterizations of structures using various optical spectroscopy
• Collaborate with theoretical researchers in the design and optimization for new fundamental effects and the creation of polaritonic topological lattices
• Perform nonlinear optical measurements, using interferometric, angle-resolved, and correlation type techniques
• Record, manage, and store collected data in line with NTUs data management policies
• Disseminate results in the form of peer-reviewed publications and presentations at international conferences

Job Requirements:

• PhD in Physics, Optics, Material sciences, Engineering from a reputable University
• Track record of peer-reviewed papers in international journals
• The ideal candidate would have experience in the heterostructure and device fabrications

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

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

Responsibilities

• Prepare comprehensive reports and presentations on current and prospective investments, including valuation assessments and performance analysis.
• Oversee the preparation of Management Accounts and Financial Statements, ensuring compliance with statutory requirements both locally and globally.
• Provide support for investment activities, focusing on financial products such as public equities and real estate investments.
• Act as the main liaison with tax service providers to ensure compliance with jurisdiction-specific tax regulations, primarily in Singapore and the United States.
• Facilitate trade executions and maintain relationships with private and retail bankers for investment activities in key markets.
• Stay informed about financial markets and trends, with a strong understanding of private and public market dynamics.
• Undertake ad-hoc project management responsibilities to support the team’s operational and strategic goals.
• Collaborate with cross-functional teams to enhance analytical insights, improve reporting capabilities, and support decision-making processes.

Requirements:

• A minimum of 2 years of professional experience within the finance or investment industry, preferably in asset and wealth management.
• Hands-on experience with the U.S. stock and property markets, demonstrating strong market understanding.
• Advanced proficiency in Microsoft Office, particularly Excel and Word, for analytical and reporting purposes.
• Strong analytical acumen with excellent organizational, teamwork, and communication skills, alongside full fluency in English.

Please submit your updated resume in Word format by using the Apply Now Button.
We regret that only shortlisted candidates will be notified.

Email resume to [email protected]

People Profilers Pte Ltd, 20 Cecil Street, #08-09, PLUS Building, Singapore 049705.
Tel: 6950 9724

http://www.peopleprofilers.com
EA License Number: 02C4944
Registration Number: R1872398

Posting Personnel: Ng Jwee Ken

Ref: QWVWX9R9

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor Barbaros Oezyilmaz at the Graphene Lab, National University of Singapore.

The main responsibilities of the position include:

1. Project and Grant Management: Support the Principal Investigator (PI) in tracking budget utilization, manpower allocation, and procurement to ensure projects are on track. Oversee research and industry projects, including planning, compliance, and reporting. Assist with grant proposal preparation, submission, and tracking.

2. Business Development: Develop and evaluate business proposals, negotiate industry collaboration agreements, and actively foster partnerships to drive research applications and commercialization.

3. Industry and Academic Engagement: Serve as a coordinator for industry and academic discussions, facilitate collaborative meetings, and take an active role in engaging with industry stakeholders to build and sustain strategic partnerships.

4. IP Portfolio Management: Manage the lab's intellectual property portfolio, track inventions, support patent applications, and liaise with the university’s technology transfer office.

Qualifications/Experience

• Qualifications / Discipline: A Master’s degree or Bachelor’s degree in a relevant field such as:

- Engineering (e.g., Materials Science, Mechanical, or Electrical Engineering)

- Science (e.g., Physics, Chemistry, or a related discipline)

- Business Administration or Management (especially if emphasizing industry collaboration and business development)

• Experience:

1. At least 2–3 years of experience in research project management, business development, or related roles.

2. Familiarity with managing grants, budgets, and compliance with funding regulations.

3. Experience in academic or industry collaboration settings.

4. Fluent in spoken and written English. Experience in Business English will be an advantage.

At NUS Singapore, our people are the driving force behind our success. We pride ourselves on fostering a vibrant and inclusive community of talented individuals from diverse backgrounds.

When you join NUS, you become part of a community of passionate individuals who are dedicated to driving innovation and change in education, research, and service. Our culture of inclusivity and entrepreneurship means that you’ll have the freedom to explore your ideas and make a meaningful impact. Your career at NUS is more than just a job - it’s a transformative experience that will shape your personal and professional growth.

Explore the link provided to learn additional details about the available job opportunity:

https://careers.nus.edu.sg/job/Visiting-Research-Professor%2C-Computer-Science/27367-en_GB/?st=C46AA6953DC27D5F35BF9F6B74E233D838219CFD

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Computing Systems
• Programming Languages & Software Engineering

Job Requirements

• A Master’s degree in Computing; and
• Experience in research of LLM inference and training acceleration systems.
• Experience in paper and publications in LLM.

Job Scope:

Research

· Assist with data collation, analysis, and compilation of Singapore Cultural Statistics

· Assist with building of data warehouse/research for quarterly data insights newsletter, Culture Bytes.

· Assist with organisation of research training workshops for the Cultural Policy Research Network.

· Assist with development of Custom-GPTs for Research use cases where needed (training will be provided).

Any other duties as may be agreed and assigned.

Working Arrangement:

Location: Clarke Quay

Working Hours:

Mondays – Thursdays, 9am – 6.30 pm (1 hour lunch break)

Fridays, 9 am – 6 pm

Hybrid mode – few days in office and some days work from home

Salary: Monthly Rated

Contract Duration: June 2025 - Dec 2025

Work Requirements:

· Good good communication and written skills

· Versed in Microsoft office

· Good eye for details, interest in research, publications, and data management

· Ability to work in dynamic working environment

· Team player

EA License No.: 96C4864 (Shanice Lim Xin Ni)

Reg. No.: R22110485

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

Applications are invited for a Research Associate in the NUS Centre for International Law (CIL). This is a one-year contractual position offered in connection to CIL's expansion of its programme on international economic law and policy. The objective of the position is to develop the research capabilities and knowledge of junior scholars by immersing them in a dynamic and supportive research environment where they can enhance their understanding of different areas of international economic law and policy.

The duties of the incumbent will involve:

• Assisting the Head of the International Economic Law and Policy programme in research in connection with the programme’s ongoing projects in international economic law, including CIL’s position as an official observer in UNCITRAL Working Group III, CIL’s ongoing work on international economic law and climate change, and its work on the evolution of the international architecture for economic regulation.
• Assisting with the development and organization of seminars and workshops organized by CIL, including the Singapore International Arbitration Academy.
• Conducting research and completing at least one publication for possible publication in a recognized journal at the termination of the position.

All research staff in CIL will have access to professional development opportunities (e.g., events, seminars, and training programmes) within NUS. They will also have opportunities to attend regional and international conferences, workshops and symposiums as well as other scholarly opportunities.

Qualifications

• An LLM or JD degree or equivalent experience;
• A solid foundation in international economic law, e.g., trade, investment and other areas of international economic law broadly understood;
• Excellent analytical, research and writing skills;
• A high degree of self-motivation and strong organisational and computer skills.

Application Procedures

Interested applicants are invited to apply directly via the NUS Career Portal with the following supporting documents :

• A covering letter indicating experience, motivation for applying to work at CIL, and research interests
• A detailed curriculum vitae (no more than three pages) setting out educational and work history
• University transcripts
• One sample of written work
• The names and details of two referees

Please note only shortlisted candidates will be notified. For enquiries, please contact Ms Huong Tam at [email protected]

More Information about CIL

CIL was established in 2009 as a university-level research institute at the National University of Singapore (NUS). It is located on the Bukit Timah Campus of NUS, together with the Faculty of Law and the Lee Kwan Yew School of Public Policy. As a university-level research institute, CIL engages in both legal and multi-disciplinary research on wide variety of international law issues. Its mission is to enable Singapore and the Asia-Pacific region to play a more significant role in the promotion and development of international law. More about CIL can be found here: https://cil.nus.edu.sg

Nanyang Environment and Water Research Institute, NTU is looking for a Research Fellow with expertise in chemical reactors to develop an improved prototype for a thermocatalytic process.

The project is funded by National Environment Agency, Singapore to address one of the largest problems in waste management – the problem of plastic waste pollution. A significant fraction of plastic waste has substandard quality for mechanical and chemical recycling even after sorting and cleaning. The Research Fellow will work on the design, fabrication and testing of a chemical reactor system that will use pyrolysis-chemical vapor deposition (CVD) technology for converting these plastic waste streams (specifically, contaminated and rejected plastics) into multi-walled carbon nanotubes (MWCNTs) and hydrogen. The role of Research Fellow is to design a system prototype that can effectively mitigate the impact of impurities from diverse plastic waste streams on production outputs and can be operated in a continuous mode.

Key Responsibilities:

The candidate will be undertaking full research work and administrative duties during the term of employment within the following areas:

• Experimental work on plastic waste conversion into carbon nanotubes and hydrogen.
• Design, procurement, installation and operation of the prototype system;
• Investigation of system performance and determining factors that influence the yield and quality of outputs;
• Development of improvements in system design to mitigate the factors decreasing quality and yield of outputs;
• Development of a continuous process;
• Liaising with vendors regarding the feasibility of scale up and conducting a cost-benefit analysis.
• Publishing research papers and documenting developed intellectual property.
• Reporting the progress to stakeholders (internal and external).

Job Requirements:

• Ph.D. degree in a field relevant to chemical reactor engineering (e.g., Chemical Engineering, Thermal Engineering, Mechanical Engineering, Process Engineering or other).
• PhD thesis or postdoctoral experience related to chemical reactor engineering for at least one of the following areas: (a) catalytic reactors, (b) continuous reactors.
• First-author publications in the areas mentioned above.
• High proficiency in English (e.g., TOELF, IELTS, GRE) for preparation of research papers.
• Ability to prepare well-written technical reports and research papers.
• Ability to prepare decent quality presentation decks, figures and illustrations.
• Ability to build formal and informal partnerships and work collaboratively with others to meet shared objectives.
• Ability to consistently achieve results, even under challenging circumstances.

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Fellow in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP brings together researchers from a wide range of disciplines with an interest to maximise human potential. In HPTRP, we aim to adopt a holistic perspective that considers human potential as an integrative measure of health, productivity, performance, human capital and overall well-being over the lifespan, in our environment. Appointments will be made on one-year contract, with the possibility of one-year extension.

Purpose of the post

The Research Fellow (RF) will plan and execute research studies to better understand the impact of environmental heat stress on various populations. The successful candidate will be responsible to, and work with, the Principal Investigator (PI) to ensure the successful and timely completion of the project.

Main Duties and Responsibilities

The duties and responsibilities of the successful candidate include but are not limited to:

1. Working closely with the PI to develop new research ideas, write up and present project proposals;
2. Designing research protocols and planning data collection strategies, guided by literature reviews and best practices;
3. Leading and training teams comprising Research Assistant(s), Students etc in the conduct of laboratory- and field-based research;
4. Establishing and managing databases;
5. Rigorous data analyses and interpretation of data;
6. Generating reports and high-quality publications for presentation to stakeholders and submission to top tier journals, respectively;
7. Leading a team comprising Research Assistant(s) and Students in the conduct of laboratory- and field-based research studies;
8. Working at different study sites, depending on the needs;
9. Working beyond routine work hours due to the nature of research;
10. Maintaining the highest standard of professional conduct and record-keeping in accordance with policies and procedures;
11. Maintaining regular communication with other members of the research team; and
12. Assisting with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. Have a Doctorate, preferably in sport science, life sciences or related disciplines;
2. Have an interest and experience leading and conducting laboratory and field research with human participants;
3. Be proficient in statistics, data analyses and data visualisation for both quantitative and qualitative data;
4. Have excellent written and verbal communication skills;
5. Be adaptable and able to multi-task well;
6. Be able to work independently and in a team;
7. Have an investigative nature and be detail-oriented;
8. Have knowledge of computer applications, e.g. SPSS, MS Office.

Remuneration will be commensurate with the candidate’s qualifications and experience.

Only shortlisted candidates will be notified. Review of applications will commence from November 2024 on a rolling basis. Applications will be considered until the post is filled.

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 Research Engineer to join our research team to work on related Soft Robotics.

Key Responsibilities:

To design, build and test whole hybrid robot systems for specific scenarios.

Qualifications

• Possess a bachelor’s degree in biomedical engineering or related field.
• Have relevant experience with hybrid robot system development and evaluation.
• Have good knowledge of soft robot actuator/sensor/integration fabrication.
• Good written and spoken communication skills and the ability to collaborate effectively in a team environment.
• Open to fixed-term contract.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP aims to bring together researchers from a wide range of disciplines with an interest to maximise human potential. In HPTRP, focusing only on human studies, we aim to adopt a holistic perspective that considers human potential as an integrative measure of health, productivity, performance, human capital and overall well-being over the lifespan, in our environment. Appointment will be made on one-year contract, with the possibility of one-year extension.

Purpose of the post

The Research Assistant will be responsible to, and work closely with, the admin managers to ensure the successful completion of projects on time. The RA’s principal role will be to work in research administration for the programme.

Main Duties and Responsibilities

Key responsibilities include:

• Provide administrative support to the research programme and research projects, such as in end-to-end management of procurement and payments.
• Maintain list of expenditures and payments of grants.
• Manage good inventories of consumables and equipment to the research programme and research projects.
• Manage onboarding and offboarding including setup of workspace and systems access.
• Manage calibration and preventive maintenance on equipment and systems.
• Support development and maintenance of SOPs, policies to enhance operations of the programme.
• Assist with other duties of similar nature that are delegated by the PI.

Qualifications

Qualifications and requirements of the role are as follows:

1. Recognised Bachelor’s degree, with at least 1 - 2 years of relevant experience in a research/academic organisation. Degree in life sciences, sports sciences, or related disciplines will be an added advantage.
2. Adaptable and able to multitask with clear flow-through.
3. Demonstrated ability to work independently as well in a team, and thrive in a fast-paced environment
4. Detail-oriented, self-driven with high degree of professional integrity and resourceful.
5. Good written and verbal communication.
6. Proficient in MS Office Application and good IT literacy.

Remuneration will be commensurate with the candidate’s qualifications and experience.

Only shortlisted candidates will be notified.

Please apply online via NUS career portal and any related queries may direct to Ms H’ng at [email protected].

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 Research Engineer to join our research team to work on related Soft Robotics.

Key Responsibilities:
To design, build and test whole hybrid robot systems for specific scenarios.

Qualifications

• Possess a bachelor’s degree in biomedical engineering or related field.
• Have relevant experience with hybrid robot system development and evaluation.
• Have good knowledge of soft robot actuator/sensor/integration fabrication.
• Good written and spoken communication skills and the ability to collaborate effectively in a team environment.
• Open to fixed-term contract.

Under the Air Traffic Management Research Institute (ATMRI) (http://atmri.ntu.edu.sg/), Nanyang Technological University, you will be part of a research team to study the use of Artificial Intelligence and Data Analytics in Air Traffic Management Systems. The selected candidate will work on developing innovative machine learning models to address key challenges in the future airspace system, including traffic prediction, optimization, and safety enhancements.

Key Responsibilities:

• Develop and implement machine learning models for air traffic prediction, flow management, and conflict detection.
• Apply deep learning, reinforcement learning, and other advanced AI techniques to improve decision-making in ATM systems.
• Work with real-time and historical air traffic data (e.g., ADS-B) to build predictive models for air traffic demand and capacity.
• Collaborate with a team of researchers and engineers to integrate machine learning models into ATM decision support systems.
• Analyze the performance of machine learning models and optimize their scalability for real-world airspace management applications.
• Participate in project meetings, prepare research reports, and contribute to publications in top-tier academic conferences and journals.
• Assist in the preparation of project proposals and technical documentation.

Job Requirements:

• Master's degree in Artificial Intelligence.
• Evidence of developing Machine Learning and Optimization models for ATM system.
• Strong programming skills in Python.
• Good English writing and communication skills - for research purposes
• Independent and team player.

We regret that only shortlisted candidates will be notified.

Responsibilities:

• Manage and execute clinical projects and administrative tasks.
• Ensure proper documentation and maintain an up-to-date database.
• Perform maintenance and calibration of equipment.
• Conduct data entry and collect clinical data.
• Plan and schedule subject visits, including recruitment activities.

Job Requirements:

• Possess at least a Diploma or Degree.
• Able to work independently and meet tight project deadlines.
• Strong team player with the ability to work independently.
• Skilled in prioritizing tasks and multi-tasking effectively.
• Excellent coordination and interpersonal skills.

To apply for this position, please email your detailed resume, including your current and expected salary, to [email protected].

We regret that only shortlisted candidates will be notified.

Investment Analyst/Associate in Capital Markets (CM) Department

Who are we: We are the world’s biggest listed EV battery components company.

General description: The candidate will be responsible for day-to-day tasks, including conducting investors research, preparing financial information and models, preparing marketing materials, and executing transactions. They will work closely with other team members in Singapore and across the globe on data and financial analyses, due diligence activities, and the creation of transaction materials. Being exposed to every aspect of a deal/transaction cycle, the candidate will be involved in the investor sourcing process, evaluation of such financing opportunities, arranging and structuring of such transactions, and see to the completion and documentation. The role needs a go-getter who wants to gain investment banking skills to eventually become a deal maker.

Detailed description:

- Assist the CM Director to source for credible strategic and sovereign wealth fund investors

- Assist the CM Director to manage investment bankers and financing proposal

- Assist the CM Director to answer questions from investors

- Assist the CM Director to prepare documents for investors Due Diligence

- Deep understanding of financial models

- Assist the CM Director in other matters like marketing, R&D joint labs, sourcing and incubation of early-stage startups, formation of incubation investment funds

- Strong in risk management, IPO regulations and review of legal documents

Requirements

- Bachelor's degree in Finance/ Investment related field or equivalent.

- Fluency in English and Chinese in speaking, writing and reading

- Relevant work experience at least 3 year

- MSc in Finance or related

- Humble, meticulous and with a good learning altitude

Investment Analyst/Associate in Capital Markets (CM) Department

Who are we: We are the world’s biggest listed EV battery components company.

General description: The candidate will be responsible for day-to-day tasks, including conducting investors research, preparing financial information and models, preparing marketing materials, and executing transactions. They will work closely with other team members in Singapore and across the globe on data and financial analyses, due diligence activities, and the creation of transaction materials. Being exposed to every aspect of a deal/transaction cycle, the candidate will be involved in the investor sourcing process, evaluation of such financing opportunities, arranging and structuring of such transactions, and see to the completion and documentation. The role needs a go-getter who wants to gain investment banking skills to eventually become a deal maker.

Detailed description:

- Assist the CM Director to source for credible strategic and sovereign wealth fund investors

- Assist the CM Director to manage investment bankers and financing proposal

- Assist the CM Director to answer questions from investors

- Assist the CM Director to prepare documents for investors Due Diligence

- Deep understanding of financial models

- Assist the CM Director in other matters like marketing, R&D joint labs, sourcing and incubation of early-stage startups, formation of incubation investment funds

- Strong in risk management, IPO regulations and review of legal documents

Requirements

- Bachelor's degree in Finance/ Investment related field or equivalent.

- Fluency in English and Chinese in speaking, writing and reading

- Relevant work experience at least 3 year

- MSc in Finance or related

- Humble, meticulous and with a good learning altitude

Job Summary:

As a Market Research Analyst at A2000 Solutions, you will contribute to data-driven marketing strategies while supporting the marketing team with content creation and design-related tasks. This role involves gathering market data, preparing actionable insights, and creating compelling visuals and marketing materials to enhance our brand presence and drive customer engagement. The ideal candidate combines analytical expertise with creative skills to support ERP, POS, and inventory management solutions marketing efforts.

Key Responsibilities:

Market Analysis:

• Conduct market research to identify trends, customer needs, and competitive activities in the business solutions industry.
• Analyse market data to provide actionable insights for the marketing team.

Customer Insights:

• Design and conduct surveys, focus groups, and questionnaires to gather customer feedback.
• Translate customer data into strategies to improve product positioning and marketing effectiveness.

Competitor Analysis:

• Research competitor strategies, pricing, and customer engagement tactics.
• Prepare detailed competitor analysis reports and recommend strategies for A2000's competitive advantage.

Content Preparation:

• Create and refine marketing materials such as brochures, social media posts, email campaigns, and infographics.
• Collaborate with the design team to develop visually appealing content that aligns with A2000’s branding.

Design Support:

• Assist in designing promotional materials, including posters, banners, and digital ads.
• Ensure all designs are consistent with A2000’s corporate identity and marketing goals.

Campaign Optimization:

• Support marketing campaigns by providing data-driven insights to improve targeting and engagement.
• Evaluate and report campaign performance metrics, suggesting areas for improvement.

Trend Monitoring:

• Stay updated with industry trends, market demands, and technological advancements affecting the ERP and business solutions landscape.
• Recommend innovations to align marketing strategies with current trends.

Collaborative Efforts:

• Work closely with sales, product development, and marketing teams to ensure cohesive messaging and strategy.
• Contribute to the preparation of reports, case studies, and presentations for internal and external use.

Content and Presentation:

• Prepare professional, data-backed reports and presentations for stakeholder engagement.
• Assist in drafting scripts, storyboards, and layouts for marketing videos or webinars.

Process Improvement:

• Identify inefficiencies in marketing processes and suggest improvements.
• Propose new tools and technologies to streamline research, content creation, and campaign execution.

Ad-Hoc Tasks:

• Perform any additional duties as and when assigned by the reporting head to support the marketing department’s goals.

Key Requirements:

Education: Bachelor’s degree in Marketing, Business Administration, Communications, Design, or a related field.

Experience: 1-2 years of experience in market research, content creation, or a similar role. Fresh graduates with relevant internships are encouraged to apply.

Skills:

• Proficiency in data analysis tools (e.g., Excel, Power BI) and design software (e.g., Adobe Photoshop, Canva).
• Strong communication and content writing skills.
• Knowledge of digital marketing metrics and platforms (e.g., Google Analytics, SEO tools).
• Creative mindset with an eye for design and branding consistency.
• Excellent organizational and project management skills.

What We Offer:

• An opportunity to shape marketing strategies for leading ERP and business solutions.
• A collaborative and innovative work environment.
• Training and development in market research, design, and digital marketing tools.
• Competitive salary and performance-based incentives.

About A2000 Solutions:

A2000 Solutions is a leading provider of ERP, POS, and inventory management solutions. Our innovative tools are designed to help businesses thrive by improving efficiency and scalability. Join us in creating impactful marketing strategies that drive growth and customer satisfaction.

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Evaluating the errors associated with Machine Learning (ML) predictions is an active area of research crucial for the safe and effective deployment of ML techniques. These errors have two components. The epistemic error refers to the degree of similarity between the analysed data and the ones the uses to train the machine. The uncertainty error refers to the noise in the training and test data.

The Pica Ciamarra groups is looking for a highly motivated and qualified Research Fellow with the ambition of producing high quality research to develop physics-inspired model for error estimation in ML. The Research Fellow will be involved in research design, data analysis, model development, numerical simulations, and report/paper writing, in strict collaborations of partners of the CNRS@Descartes.

The Research Fellow is expected to perform state of the art numerical simulations using computing resources from National Supercomputing Centre (NSCC) Singapore. The incumbent has freedom to design the nature and type of deep learning simulations.

Key Responsibilities:

• Devise physics-inspired ML approaches to estimate epistemic and uncertainty errors.
• Construct synthetic dataset suitable to the designed models.
• Implement models for error estimation in classification and regression tasks.
• Interact with partners of the CNRS@Descartes project to foster the application of the developed models to use cases.
• Validate models via large scale simulations on National Supercomputing Centre (NSCC) Singapore.

Job Requirements:

• Ph.D in physics or related disciplines
• 2 years of relevant experience is preferred
• Experience in Machine Learning and modeling
• Knowledge of Python and C++
• Able to multitask and work in a multidisciplinary team, demonstrate initiative and work independently with strong interpersonal skills.
• Good publication record in international journals

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

• Act as a Finance Business Partner to the designated Research Centre/ Institutes within the cluster and provide strategic support to its management and budget holders by proactively monitoring financial activities and financial reporting specific to the Institutes, and clearly communicating results of the analyses.
• As a team leader supporting Cluster lead in leading and managing the research finance cluster.
• Provide financial and business advisories to the Institutes that are critical to the decision-making purposes and ensure compliance with University’s financial policies and procedures, and funding agencies’ terms & conditions / guidelines.
• Foster and maintain a regular working relationship within the Institutes, central shared services teams, and other functional partners.

Duties & Responsibilities:

Financial Management and Oversight

• Lead a team of 3-4 staff (direct and indirect), where applicable
• Ensure smooth day-to-day financial operations of the Research Centre (RCE) / Institutes (RICs) within the cluster, including exercising financial control over budget expenditure, revenue collection and financial reporting.
• Drive the annual budget and forecast exercises by coordinating all movements of budget, ensuring timely submission of budgets to central teams.
• Participate in strategic meetings and budget planning sessions with the Institutes’ management, providing valuable financial insights to aid decision-making.
• Partner closely with Institutes to guide cost-efficiency initiatives and offer expertise in implementing resource optimization strategies, leading to a reduction in operational expenses.
• Analyse Institutes’ financial positions and funding status, offer insights and recommendations for periodic reporting to the Institutes’ management for decision-making processes.
• Prepare and present financial performance reports to the Institutes’ Governing Board/ Strategic Board, etc, ensuring clarity and accuracy of information.

Grant and Fund Management

• Partner closely with Institutes (as host institution) for effective grant administration, provide financial guidance throughout the grant lifecycle and facilitate budget allocation for various projects and funding sources, to enhance the host institute’s financial stability and research pursuits.
• Collaborate with budget owners to manage grants / funds and proactively identify issues for timely solutions and ensure optimal utilisation of funds.
• Ensure full understanding and compliance with the terms and conditions of the grants as predetermined in the signed letter of awards / agreements.
• Oversee grant claim statements preparation and timely submission to funding agencies, including liaison with auditors and fulfilment of audit requirements, and prompt response to queries for a smooth and timely audit fieldwork.
• Work collaboratively with the Institutes’ stakeholders and central shared services teams during financial year-end closing and grants’ closing activities to ensure all legitimate transactions are properly recorded and all financial reports are accurately prepared.

Governance, Controls and Compliance

• Ensure compliance with related tax filing matters including GST, withholding tax and taxable benefits for personal claims.
• Timely perform Risk Control Matrix (RCM) testing and address anomalies to mitigate financial risks, and ensure certification sign-off by Institute’s HOA before the financial year’s closing deadline.
• Liaise with internal auditors on all internal audit matters, where required.
• Coordinate and oversee the annual fixed assets verification exercise of the designated Institutes. Work collaboratively with Institutes’ stakeholders to ensure compliance with the verification procedures and maintain accurate records of fixed assets.

Leadership

• Drive strategic planning efforts, outlining objectives, strategies and key performance indicators (KPIs) to ensure the team’s success.
• Make critical decisions and provide guidance to the team in complex situations, considering broader implications.
• Identify talent gaps. Mentor and coach team members on leadership, problem-solving and strategic thinking.
• Guide the team through changes, effectively managing transitions and ensuring team members are aligned with new strategies or initiatives.
• Represent the cluster in cross-cluster meetings and strategic discussions, advocating for team needs and accomplishments.

Process Improvement and Stakeholder Communication

• Proactively engage with Institutes’ stakeholders to understand their needs, challenges and goals.
• Provide guidance and updates to stakeholders on finance policies, guidelines and procedures, as and when required.
• Identify opportunities to develop guidelines and streamline financial processes for operational efficiency and resource optimization.
• Lead change initiatives such as projects, system implementation and other assignments as may be directed from time to time.
• Undertake ad-hoc tasks as requested by Institutes or assigned by Cluster lead.

Qualifications

• Accounting Degree/ACCA or equivalent with at least 10 years of relevant working experience
• Exposure to grant budgets, funding agencies’ regulations and financial compliance requirements in a research or education environment will be advantageous
• Technically competent with up-to-date knowledge of accounting / audit standards and practices
• Ability to quickly learn and grasp the implications of terms and conditions for each managed grant
• Highly stakeholder service-focused and strong in communication skills with the ability to build positive working relations and work collaboratively with people at all levels
• Highly analytical with exceptional problem-solving and organisational skills
• Self-motivated individual and able to work with minimal supervision in a dynamic environment with competing demands for resources
• A keen sense of ownership and accountability, and act with a sense of urgency to meet tight deadlines
• Proficient in using MS Office and has relevant experience in SAP accounting system and flexibility to adapt new software applications, where applicable

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Assistant will be responsible to work on problems at the intersection of information theory, statistics, and learning.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area
• Strong background in mathematics
• Research experience in information theory

Be independent in research of advanced speech and audio algorithms and the development or implementation of such algorithms for embedded systems.

• Experience or knowledge of acoustic tests measurements for data acquisition and be familiar with state-of-the-art testing equipment.
• Experience of conducting objective/subjective evaluation of various audio algorithms on speech enhancement, active noise control, binaural rendering.
• Extensive experience in signal processing, acoustic modelling, adaptive filtering, noise suppression, active noise cancellation, hearing through etc.
• Ability handling C, Python, and script codes for system modelling, simulation and system implementation.

Qualifications Requirement:

• PhD with relevant experience (fresh PhD graduates are welcome).
• Extensive knowledge in at least one of the areas including: signal processing applied to audio, active noise control, speech enhancement, adaptive filtering and microphone array signal processing.
• Solid mathematical background.
• Working knowledge of C/C++ and/or Matlab/Python scripting as well as DSP algorithm optimizations
• Highly Desired:
  • Expertise in AI applied to audio, with hands-on experience in at least one deep learning framework in Python
  • Hands on experience in DSP code optimization and deployment for embedded audio systems
  • Knowledge and expertise of earphone active noise cancellation/hear through algorithm design and tuning, measurements and etc.
  • Top-ranking and/or award receivers in world competition in speech/audio signal processing field

Interested candidate who wish to apply for this position, please click on APPLY NOW

EA License No.: 01C4394 | PERSOLKELLY Singapore Pte Ltd

EA Registration No.: R23117518 | Heah Sian Wei

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services, complying with Government’s COVID-19 health advisories and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an email to let us know. Please feel free to contact us if you have any queries.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr Liu Boxiang on single-cell multi-omic analysis under a project on developmental trajectory of pancreatic islets.

The main responsibilities of the position include:
- Generating single-cell multi-omic data
- Single-cell multi-omic data analysis
- Manuscript writing

Qualifications

• Qualifications / Discipline: PhD in Bioinformatics

• Skills: RNA-seq and single-cell multi-omic analysis, sequencing data generation

• Experience: PhD in bioinformatics; industry research experience preferred.

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 a research associate position to advance the understanding of chirality in hybrid organic-inorganic materials using cutting-edge Transmission Electron Microscopy (TEM) techniques. The role will focus on investigate the mechanisms of chirality transfer, characterize chiral structures, and explore their functional properties to develop next-generation materials for optoelectronics and spintronics.

Key Responsibilities:

• Chirality Transfer Mechanisms
  Study how chiral organic ligands influence the structural and electronic properties of hybrid frameworks.
• Material Synthesis and Preparation
  Develop solution-based methods for synthesizing chiral hybrid structures.
  Investigate material-based chirality transfer mechanisms, such as mesoporous silica templating.
• TEM Characterization
  Perform high-resolution TEM and selected area electron diffraction (SAED) to elucidate atomic structures and symmetry.
  Conduct energy dispersive X-ray spectroscopy (EDX) for compositional analysis.
• Collaboration and Dissemination
  Collaborate with interdisciplinary teams and publish findings in peer-reviewed journals.

Job Requirements:

• Masters in Material Science Engineering
• At least 3 years of relevant experiences in TEM / technical hands-on experience in operating electron microscopes
• Familiarity with wet lab skills, electron microscopy and sample prep
• Good written and oral communication skills
• Competent in soft skills / information visualization, interaction design
• Interpersonal skills

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

Project Overview

SMART M3S is undertaking a project that includes three key work streams:

1) Content: Developing an ontology encompassing various activities, actors, and processes arranged systematically. This involves:

• Extracting content from databases like the Department of Labor's O*Net.
• Human Curation and editing.
• Utilizing Large Language Models(LLMs) for content generation.
• Applying machine learning and statistical techniques to identify clusters of similar activities.

2) Software Tools: Creating a suite of software tools to :

• Browse, edit, and search the online knowledge base.
• Extract content from diverse sources.
• Facilitate human review.
• Integrate LLMs for content generation.
• Support applications demonstrating the ontology's usefulness.

3) Applications: Developing proof-of-concept applications by the end of the one-year project to showcase the ontology's utility. Potential areas include:

• Rapid identification of use cases for generative AI tools.
• Automated generation of detailed workflows and task assignments.
• Stimulating human creativity to address business and societal challenges like climate change and democratic processes.

Responsibilities

The Full Stack Developer will perform the following:

• Design, develop and maintain software tools essential for creating and managing the ontology and its applications.
• Work closely with a multidisciplinary team of researchers, developers, and content specialists.
• Integrate Large Language Models into software applications to enhance functionality.
• Optimize existing codebases for performance and scalability.
• Conduct code reviews, write unit tests, and ensure software reliability.

Requirements

• Bachelor's Degree with proven experience and a strong portfolio
• Deep knowledge and hands-on experience with the following technologies:

1) Frontend:

• Next.js
• TypeScript
• MUI (Material-UI)
• D3.js

2) Backend:

• Node.js
• Firebase and Firebase Cloud Firestore

3) Testing:

• Jest
• Cypress
• Proficiency in LLM Prompt Engineering.
• Excellent analytical and problem-solving skills.
• Ability to work independently and collaboratively in a team environment.
• Strong verbal and written communication skills.

_________________________________________________________________

Applicants are required to complete the following as part of the screening process:

1) Clone and Optimize

-Clone this code sandbox (https://codesandbox.io/p/sandbox/react-usestate-update-nested-in-another-usestate-functional-update-r4lwq0?file=%2Fsrc%2FApp.js)

-Optimize the code for performance and readability.

2) Submit Solution:

-Provide the URL to your optimized solution.

-Include a detailed description of the optimizations made and the reasoning behind them.

GitHub Respository: Link to your GitHub profile showcasing relevant projects.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified