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 Department of Medicine, Yong Loo Lin School of Medicine.

Main duties and responsibilities

The Research Fellow (RF) will be responsible to, and work closely with, the Principal Investigator (PI) and study team members to successfully deliver research outcomes pursued in several nationally funded projects:

Ischaemic stroke and cardiovascular diseases, focused on biomarker discovery and validation using preclinical vascular and animal models. A key focus of the work is to understand the reasons why strokes occur and how to identify high-risk individuals for more intensive interventions. This work leverages on a well-phenotyped repository of samples from stroke patients who have been meticulously characterized by whole-exome sequencing, RNA-seq and proteomics and outcomes collected in patients who were followed for more than 10 years.

Qualifications

The applicant should:

1. Have a good PhD degree in life sciences, biomedical sciences, biochemistry or bioengineering from a well-recognized university.
2. Experience with immunohistochemistry, molecular biology, microscopy techniques and computational analytical methods will be considered favorably.
3. Able to work independently and in a team, and must have good interpersonal and communication skills.
4. Possess good organizational skills for project planning, data analysis, manuscript preparation and grant applications.
5. Possess good understanding and knowledge of statistical methods using either R, Stata, Python or SPSS softwares.

Appointments will be made on a yearly contract basis with a good likelihood of extension.

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

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

Professor Rachel Zhang and Jean Zeng are seeking a qualified Research Assistant to support data-driven academic projects. Responsibilities include data collection, cleaning, aggregation, advanced econometric analysis, and assisting with research papers and reports. Candidates must have a master’s degree in Economics, Statistics, Data Science, or a related field, with strong coding skills (Python, R, or Stata) and expertise in econometric methods. Prior experience in research, statistical modeling, and data visualization is preferred. To apply, send a cover letter, CV, and a sample of your coding or analysis work.

The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer the development and discovery of new and more effective methods for the treatment, prevention and control of new and emerging pathogens. The key outcome of the research will be the early identification of new pathogens, out of which new diagnostic tests, treatments and control strategies will be developed.

We are looking for a talented Research Fellow to study the short and long term outcomes of the host transcriptional/epigenetic response to respiratory viral infection. The selected candidate will perform a variety of research activities, which include planning, organising and conducting research studies within the overall scope of a research project under the supervision of the Principal Investigator or his/her designate, including but not limited to the following:

• Independently carry out the design and execution of innovative research aimed at understanding the host epigenome/transcriptome during Influenza A viral infection.
• Collaborate with team members on related projects in the laboratory.
• Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for research that could have a considerable influence and impact on the relevant field.
• Provide support for external grant and protocol development, study design and management of research activities.
• Provide guidance and mentorship to undergraduate / medical students and research assistants.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Molecular Biology, Virology, Genetics, Immunology, Stem Cell Biology or other related biomedical fields.
• Prior experience with bioinformatics, biostatistics, next generation sequencing technologies and/or stem cell biology would be advantageous.
• Experience with animal work (rodents) would also be an advantage.
• Demonstrate excellent quantitative, analytical and organisational skills.
• Possess interpersonal communications skills with excellent written and oral communications.
• A strong team player who is open-minded, independent, highly motivated and can work collaboratively in an interdisciplinary team and diverse workforce.

Salary and benefits will commensurate with educational qualifications and working experience.

We regret that only shortlisted candidates will be notified.

As an Equipment Engineer, you will own all assigned toolsets. The preferred candidate can troubleshoot difficult and poorly defined problems related to mechanics, electronics, and processes using tool knowledge/experience, SPC, schematics, and other available resources. The candidate will collaborate extensively with the area maintenance team and process engineering. Some collaboration will be with tool vendors, other area engineers/managers, procurement, and production.

Responsibilities:

• Provide technical leadership and management of 200MM and 300MM Semiconductor processing equipment in Support of Main Stream Semiconductor Processes and Advanced Packaging processes. Highly desirable for a candidate to have a background in at least one of the following areas: Photolithography, PVD and CVD Thin Films, Dry Etch, Wet Etch /Wafer Clean, Diffusion, Bond, Electroplate (ECD), CMP, or Metrology (some areas may be combined).
• Work with process engineering to drive root-cause corrective actions for equipment failures, implement permanent solutions, and eliminate chronic and long-term down events.
• Lead continuous improvement teams to drive tool matching, availability, and throughput improvements and reduce risk.
• Management of new tool installation, start-up, and tool upgrades to increase fab capability and capacity, lower costs, and improve yields.
• Work with minimal supervision, balancing competing priorities, to serve the needs of the Maintenance, Production, and Development organizations.
• Participate in cross-functional teams that create efficiencies across all layers of the organization.

Required Qualifications

• Degree / Diploma with 10+ years of relevant Semiconductor Industry Experience in Mechanical, Electrical, or Chemical Engineering, Materials Science, Physics, or another relevant Engineering discipline.
• 6+ years of experience within the respective areas of expertise. Experience should include one or more: Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, and Wet Chemistry.
• Demonstrated experience with the application of structured problem-solving methodology.
• Positive interpersonal skills, highly energetic and self-motivated.
• Demonstrated ability to meet requirements and deliver results.
• Ability to manage and execute multiple projects simultaneously and shift priorities to meet business needs.

Preferred Qualifications

• Diploma or Bachelor of Science/Engineering in Mechanical, Electrical or Chemical Engineering or Materials Science, Physics or other relevant Engineering discipline.
• Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, Wet Chemistry.
• Positive interpersonal skills, highly energetic and self-motivated.
• Experience with Automated Fault Detection and Classification Systems (FDC).
• Strong background with utilizing SPC.
• High level of understanding of equipment component behaviour.
• Experience Integrating Equipment Maintenance Management Software

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 Assistant in the Department of Medicine, Yong Loo Lin School of Medicine.

Main duties and responsibilities

The Research Assistant will be responsible to, and work closely with, the Principal Investigator (PI) and his study team to successfully deliver research outcomes in the areas of ageing, stroke and cardiovascular diseases.

Familiarity and experience with molecular, cell biology, staining, advanced microscopy techniques, and computational analytical methods will be considered favorably.

Preference will be given to candidates who are able to analyse omics data and with familiarity with statistical softwares including SPSS or R.

Responsibilities also include the day to day management of laboratory operations such as procurement, preventive maintenance of equipment and laboratory safety.

Qualifications

The applicant should:

1. Have a good degree in life sciences, biomedical sciences, biochemistry, or equivalent from a well-recognized university, with a minimum of 2 years experience.
2. Able to work independently and in a team, and must have good interpersonal and communication skills
3. Possess good organizational skills
4. Have knowledge of common computer applications, e.g. MS office, PowerPoint, Excel, SPSS, “R”, Stata etc

Appointments will be made on a yearly contract basis with the possibility of extension.

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

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 the position of Research Assistant in the Department of Computer Science, School of Computing. The School of Computing 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 Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research
• Excellent programming skills

Job Overview:

We are looking for a motivated Market Research Intern to assist in gathering and analysing data related to the interior design industry.

This role offers an excellent opportunity to gain hands-on experience in market research.

Key Responsibilities:

• Conduct market research on industry trends and customer

preferences.

• Assist in creating surveys and questionnaires.

• Analyse data and prepare reports.

• Stay updated on interior design trends in Singapore.

Qualifications:

• Currently pursuing or recently graduated with a degree in Marketing,

Business, or Interior Design.

• Strong analytical skills and attention to detail.

• Excellent written and verbal communication skills.

• Proficient in Microsoft Office.

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://career44.sapsf.com/sfcareer/jobreqcareerpvt?jobId=27031&company=nationalunP2&st=0E3BD74E502FD1E8A81F87F57FBB93C9D8BC3B07

Caldecott

6 months

Monday - Friday

Office hours

• Assist in developing and executing engagement strategy on new focal areas
• Develop engagement toolkits and levers to engage different stakeholders (e.g.religious organisations, Social Service Agencies, corporates)
• Develop stakeholder mapping/tiering to guide customised engagement efforts
• Basic Research Support: Assist in conducting desktop scans and basic research activities (e.g. create online survey form) to gather relevant information
• Dat Analysis and Reporting: Using Microsoft or other tools to collect, analyse, and present data from basic research activities to support decision-making and identify areas for improvement
• Project Support: Ensure progress coordination, documentation and tracking of key research and transformation initiatives. Ensure alignment with project requirements and timeline

Requirements:

• Singaporean
• Degree in any field
• At least 1 year of research support, project support and data management experience
• Experience in managing stakeholders

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOLKELLY job application platform - GO.https://go.persolkelly.com/job/apply/9616

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tacand the Privacy Policy. If you wish to withdraw your consent, please email us at [email protected]. Please feel free to contact us if you have any queries. Suzana Binte Slemat (EAP No. R1989461) EA Licence No. 01C4394

We are looking for a full-time pre-doctoral student to work as a Research Associate on INSEAD’s Singapore campus. This position is ideal for recent Master’s graduates looking to develop their research skills, with a view of applying to a PhD program. We are looking for someone who is good at managing data and in particular using software packages such as Stata, Python, and R. Ideally, they would also have experience working on a research project in the social sciences. The Research Associate core mission is to assist the school’s Strategy faculty in conducting research.

The Strategy Area at INSEAD is a global thought leader in studying the drivers of superior long-term organizational performance. Our research covers key topics such as artificial intelligence, digital transformation, sustainability, corporate social responsibility, innovation, corporate culture, collaboration, and strategic leadership. We investigate how firms tackle challenges like growth constraints, post-merger integration, and shifting business models, and evaluate the effectiveness of their strategies. Our work employs a range of methodologies, including large-scale empirical analyses, field experiments, and qualitative or ethnographic approaches. While diverse in focus, our research shares a common goal: to generate insights that are both academically rigorous and practically relevant, influencing scholarly discourse and guiding real-world strategies to help businesses and leaders succeed in a dynamic global environment.

The position is for one year, with the possibility of renewal at the end of the first year upon evaluation. It is a full-time position.

TASKS:

• Assist with quantitative research projects in the areas of strategy and management.
• Extract data from conventional databases (e.g., CRSP, Compustat, etc.) or hand-collect and clean data from company documents for analysis.
• Manage and clean data using software packages such as Stata, Python, and R. Proficiency in Stata is strongly preferred.
• Conduct statistical data analysis and assist with the interpretation, write-up, and dissemination of findings.
• Help with reviews of prior literature.

QUALIFICATIONS:

• Bachelor’s or Master’s degree in Economics, Econometrics, Statistics, Finance, or closely related fields, with extensive prior training in econometrics.
• Excellent programming skills that can be applied in software packages such as Stata, Python, or R. Proficiency in Stata is strongly preferred.
• Fluency in written and oral English.
• Excellent academic record and work ethic
• Strong interest in conducting empirical research in management and economics and ambition to pursue a PhD in the future.
• Previous research experience is a strong plus.

APPLICATION:

To be considered for the position, please submit

1. Curriculum vitae

2. Cover letter describing your research experience, motivation and competencies

3. Writing sample (empirical research paper preferred)

4. Academic Grade Transcript

5. Up to two names and contact details of potential references

Applications and letters of recommendation may be submitted by email to [email protected]. Please mention job reference (STRSGP). The review will begin immediately. Applications will be considered until the position is filled.

INSEAD is committed to fostering a diverse and inclusive academic community. We consider applicants for employment without regard to factors such as gender, race, sexual orientation, disability or nationality.

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 Brandon I Morinaka on production and biological evaluation of peptide natural products under a project on Bioactive cyclic peptides.

The objective of the project is to create new peptide modalities that can be used for infectious disease and cancer.

The main responsibilities of the position include:

• Carry out research for new peptide natural products discovery and development including recombinant protein expression, and production and extraction of natural products.
• Train undergraduate and graduate students.
• Oversee and maintenance of analytical equipment.

Qualifications

Qualifications / Discipline:

• PhD in Pharmaceutical Science, Chemistry, Biochemistry, or related discipline.

Skills:

• Biochemical techniques: protein expression and purification, SDS-PAGE, size exclusion and affinity chromatography.
• Molecular biology: heterologous expression in E. coli and other bacterial hosts.
• Analytical chemistry: characterization of natural products and peptides. Well-versed in the use of HPLC, MS, and NMR for structural characterization.
• Good written and oral communication skills.
• Able to work effectively in a team.

Experience:

• Previous research experience in natural products chemistry, biosynthesis, antimicrobial peptides, protein-protein interactions, or related research area.

About ByteDance

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the team

Welcome to the GAI-Vision team, where we lead the way in developing foundational models for multi-modal visual understanding and generation. Our mission is to solve the challenge of visual intelligence in AI. We conduct cutting-edge research on areas such as vision and language, large-scale vision models, and generative foundation models. Comprising experienced research scientists and engineers, our team is dedicated to pushing the boundaries of foundation model research and implementing our innovations across diverse application scenarios. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Conduct research on computer vision, deep learning and AI, addressing a wide range of challenges in deep learning, computer vision, AIGC, graphics, large multi-modality models, diffusion models, video generation, 3D generation, video understanding, self-supervised learning, and autoregressive models.

- Explore the application of large-scale/super-large-scale visual foundation models, and contribute to the development of new technologies and products leveraging artificial intelligence.

Qualifications

Minimum Qualifications

- Hold a Ph.D. degree in computer science, electrical engineering, statistics, applied mathematics, data science or related disciplines.

- Possess research and practical experience in one or more areas of computer vision, encompassing multimodal generation (e.g., text-to-image, image, video, 3D generation and editing), diffusion models, GANs, transformers for generation tasks, vision-language models, large-scale training and RLHF.

- Proven track record of high-impact research.

- Collaborate effectively with team members.

- Ability to work independently.

Preferred Qualifications

- Demonstrate impactful publications in leading AI conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia) and journals (e.g., TPAMI, JMLR).

- Achievement as a winner in international academic competitions.

- Proficiency in one of the differentiable programming frameworks such as PyTorch, TensorFlow, JAX, etc.

- Possess coding skills in C/C++ and Python.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer the development and discovery of new and more effective methods for the treatment, prevention and control of new and emerging pathogens. The key outcome of the research will be the early identification of new pathogens, out of which new diagnostic tests, treatments and control strategies will be developed.

This position is for a full-time Research Assistant with a strong background in Microbiology/Immunology to work in a dynamic research team focused on bat biology. The candidate is expected to play a critical role in generating and fostering a cutting-edge, interdisciplinary research environment by performing a variety of research under the supervision of the Principal Investigator or his/her designate. The main duties and responsibilities will include but not limited to the following: -

• Perform tasks and support all aspects of the research project.
• Conduct accurate monitoring, documenting and reporting of experimental results and/or research findings.
• Provide support experience for MRNA vaccine studies.
• Assist in the maintaining of cell cultures
• Assist with general upkeep of laboratory needs, maintain safety protocols and laboratory housekeeping.
• Provide guidance and training to students.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD Degree in Life Sciences with Microbiology/Immunology background.
• Demonstrated basic knowledge, skills and technical expertise in supporting various biological research activities.
• Equipped with basic routine laboratory skills, including biological safety.
• Possess interpersonal communications skills with excellent written, oral communication and computer skills.
• A strong team player who is open-minded, independent, highly motivated and can work collaboratively in an interdisciplinary team and diverse workforce.

We regret that only shortlisted candidates will be notified.

About ByteDance

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the team

Welcome to the GAI-Vision team, where we lead the way in developing foundational models for multi-modal visual understanding and generation. Our mission is to solve the challenge of visual intelligence in AI. We conduct cutting-edge research on areas such as vision and language, large-scale vision models, and generative foundation models. Comprising experienced research scientists and engineers, our team is dedicated to pushing the boundaries of foundation model research and implementing our innovations across diverse application scenarios. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Conduct research on computer vision, deep learning and AI, addressing a wide range of challenges in deep learning, computer vision, AIGC, graphics, large multi-modality models, diffusion models, video generation, 3D generation, video understanding, self-supervised learning, and autoregressive models.

- Explore the application of large-scale/super-large-scale visual foundation models, and contribute to the development of new technologies and products leveraging artificial intelligence.

Qualifications

Minimum Qualifications

- Hold a Ph.D. degree in computer science, electrical engineering, statistics, applied mathematics, data science or related disciplines.

- At least 3 years of working experience in research or with relevant working experiences

- Possess research and practical experience in one or more areas of computer vision, encompassing multimodal generation (e.g., text-to-image, image, video, 3D generation and editing), diffusion models, GANs, transformers for generation tasks, vision-language models, large-scale training and RLHF.

- Proven track record of high-impact research.

- Collaborate effectively with team members.

- Ability to work independently.

Preferred Qualifications

- Demonstrate impactful publications in leading AI conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia) and journals (e.g., TPAMI, JMLR).

- Achievement as a winner in international academic competitions.

- Proficiency in one of the differentiable programming frameworks such as PyTorch, TensorFlow, JAX, etc.

- Possess coding skills in C/C++ and Python.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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 Health Intervention and Policy Evaluation Research Centre (HIPER) (https://hiper.nus.edu.sg/) at the SSHSPH, NUS, is seeking to hire a highly organized and detail-oriented research assistant to support both administrative and financial functions within our research program.

This hybrid role will assist with a variety of administrative tasks, including scheduling, documentation, and communication, while also providing financial support in areas such as budget tracking, expense processing, and financial reporting.

The successful candidate will be proactive, capable of managing multiple tasks simultaneously, and eager to contribute to the success of the research program.

Key Responsibilities

Administrative Support:

• General Office Management:Provide administrative support, including scheduling meetings, and preparing meeting agendas.
• Event Coordination: Help coordinate events, workshops, and courses, including managing and tracking applications, tracking payments, booking venues, preparing materials, managing participant lists, and liaising with participants.
• Communication: Serve as a point of contact for internal and external stakeholders by managing the HIPER email account, responding to inquiries and providing timely information related to the HIPER department.
• Travel & Logistics: Assist with the coordination of travel arrangements, accommodations, and reimbursements for staff and guest speakers.

Financial Support:

• Budget Assistance: Support budget monitoring and tracking of expenditures for the research program. Ensure that financial transactions align with the approved budget.
• Invoice & Payment Processing: Process invoices, track payments, and maintain records of financial transactions, ensuring timely and accurate payment for internal transfer, guest speakers, and contractors.
• Expense Reconciliation: Assist with reconciling program-related expenses, credit card statements, and receipts.
• Financial Reporting: Assist to prepare basic financial reports, including monthly expenditure summaries and budget forecasts, to facilitate financial oversight and decision-making.
• Reimbursements: Process reimbursement requests, ensuring proper documentation and adherence to policies.

Cross-functional Support:

• Record-Keeping: Maintain an organized filing system for both administrative and financial documents, ensuring all documents are up-to-date and easily accessible.
• Data Entry and Reporting: Input and update data, maintain spreadsheets, and generate summaries and reports as needed to support activities and program management.
• Ad-Hoc Support: Assist the Center Manager and other staff with ad-hoc administrative and financial tasks as required to support the smooth operation of the program.

Working Conditions:

• Full-time position (42 hours per week).
• Standard office hours with occasional flexibility for program-related events or deadlines.
• On-site work
• The position is for one year but can potentially be extended.

How to Apply:

To apply for position, kindly share your CV and a cover letter that covers the following:

• Why you want this role and how it will further your long-term career aims
• How you meet the requirements of this post
• Your MBTI personality (https://www.16personalities.com/free-personality-test)

Qualifications

Qualifications:

• Education: Bachelor’s degree in Administration, Accounting, Finance, Business, or related field preferred.
• Experience: Previous experience in administrative or finance roles is desirable but not required. Those with no experience are welcomed to apply, especially those with a background in business administration or finance.
• Skills:

1. Strong organizational and time-management skills
2. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook)
3. Basic understanding of financial processes and budgeting
4. Excellent written and verbal communication skills
5. Familiarity with accounting software (e.g., QuickBooks, Excel, SAP) is a plus
6. Strong attention to detail and ability to maintain accurate records
7. Ability to multitask and prioritize effectively in a fast-paced environment

Responsibilities

• Site Product Manufacturing and Release Support. Provide front line support to the product manufacturing process analytics, release testing and working with the QC teams (internal sites), or in close collaboration with CDMO Analytical Expert counterparts, focusing on the testing methods for each batch, their release on time and in compliance with the batch and analytical procedures instructions and quality requirements.
• Qualification & Validation. Support the execution of analytical methods qualifications and/or validations, re-validations, Annual Monitoring Batch (AMB) and short-term improvement projects, liaising with all the relevant parties at shopfloor (internally) or CDMO manufacturing team (externally) to ensure accurate execution. Review and ensure that qualification / validation protocols and report are technically correct and in compliance with all applicable international guidelines and requirements. Ensure protocols are executed, as intended.
• Technical improvement execution. Execute analytical methods improvements and support methods development for additional product and/or process related characterization studies.
  Ensure that process technical batches generate sufficient analytical methods knowledge by thoroughly testing critical variables (e.g., DOE, QbD, PAT).
• Primary packaging closure assessment during changes. Drive the qualification and/or validation of primary packaging materials testing methods including the design of container suitability studies for the assigned product(s). Evaluate and ensure, in case of packaging change, that the primary packaging closure - including materials - are sufficient to ensure stability of the product and do not deteriorate quality.
• Assure consistency of Analytical Testing Procedures. Ensure that all critical and significant parameters are within written Instruction (e.g., Testing procedures, Validation Plan), sufficient and appropriate for the product. Derive in collaboration with the internal sites (QC team) / CDMO analytical team, the upper and lower control limits for each product analytical methods (where relevant), as part of the CPV program launch for all products
• Deviation, Out of Expectation, Out of Specification, complaint handling. Lead and/or support the GPS organization with all product and process related analytical investigations and deviations including complaints, Out of Expectation, Out of Specification, in partnership with internal / external site analytical teams. Use scientific and statistical knowledge to analyze data to provide process understanding, and to identify root causes of product and process failures.
• Annual Product Reviews and Product Quality Reviews. Be highly knowledgeable of product and process trends by providing input to Annual Product Reviews and Product Quality Review for analysis and for driving process technology innovations. Be a resource to other departments as Subject Matter Expert for the product and process knowledge.

Requirements

• BSc. In Pharmacy, Pharmaceutical Technology, Chemistry, Engineering, or equivalent scientific degree. Desirable MSc. or equivalent experience.
• Minimum 5 years experience as QC/IPC laboratory scientist of pharmaceutical /chemical GMP environment, or analytical methods development scientist.
• Basic knowledge of current CPV / OPV product and process data analysis and monitoring tools and usage
• Fundamental understanding of international regulatory requirements across multiple health authorities is a plus.
• Fundamental understanding of standard pharmaceutical analytical testing and methods development.
• 5S / 6S Lean Six Sigma Certification.
• Fluent in Japanese speaking a plus to liaise with Native Japanese stakeholders and headquarter.
• 1 year contract with full benefits (21 days annual leave, medical + completion bonus), MNC with possibility of conversion.
• Job Reference: L84839Y3

All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.

Kindly email your resume in a detailed Word format to [email protected]

We regret that only shortlisted candidates will be notified

People Profilers Pte Ltd

Tel: 6950 9754

EA Registration Number: R22110899

EA License number: 02C4944

EA Personnel: Celeste Wong Xin Yann

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

Most of the world now live in cities. Liveable, sustainable and resilient cities are needed to face the looming challenges of climate change, the next pandemics, ageing populations and technological, social and economic disruptions such as what we are currently experiencing.

NUS Cities is a multi-disciplinary, open and inclusive collaborating platform comprising the following three pillars: education, research and advisory.

Education: Educate the next generation of students as well as current practitioners to take an urban systems approach to plan, govern, build and manage cities, using a strong case-based approach taught by both practitioners and academics.

Research: Taking a systems approach tacking some of our biggest urban challenges, and in the process, gradually developing a Science of Cities.

Advisory: Provide strategic advisory services to organisations and cities. NUS Cities will also partner other universities and research institutions locally and internationally, as well as with industry partners worldwide.

NUS Cities hence draws on the varied talent and expertise of the University in its colleges, faculties and departments and centres of excellence to drive research to better plan, manage, and govern, high-density, high-growth, sustainable, resilient, and liveable cities through an urban systems approach and systems thinking.

The full-time appointment for this Research Assistant position (Business Title: Associate, NUS Cities) is for a contract period of 1 year with the possibility of renewal.

Responsibilities 

• Establish and manage databases.
• Interpret and analyse data
• Assist in generating conference presentations and papers for submission to peer reviewed journals
• Collaborate across teams, assisting in multiple research projects at once
• Assist research PIs to ensure the successful and timely completion of the project(s)
• Any other tasks assigned

Qualifications

• Minimum Masters’ degree in a relevant discipline
• Candidates interested in Cities and any of the below research modules are encouraged to apply:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• Proficient in Data analysis and visualisation tools in quantitative research or any relevant software and tools
• Keen interest in Cities
• Excellent written and verbal communication skills
• Resourceful and self-driven
• Adaptable and able to multitask well with clear follow-through
• Commitment to the ongoing development of a positive organisational culture
• Willingness to contribute to a learning environment

The role is based in Singapore

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

Most of the world now live in cities. Liveable, sustainable and resilient cities are needed to face the looming challenges of climate change, the next pandemics, ageing populations and technological, social and economic disruptions such as what we are currently experiencing.

NUS Cities is a multi-disciplinary, open and inclusive collaborating platform comprising the following three pillars: education, research and advisory.

Education: Educate the next generation of students as well as current practitioners to take an urban systems approach to plan, govern, build and manage cities, using a strong case-based approach taught by both practitioners and academics.

Research: Taking a systems approach tacking some of our biggest urban challenges, and in the process, gradually developing a Science of Cities.

Advisory: Provide strategic advisory services to organisations and cities. NUS Cities will also partner other universities and research institutions locally and internationally, as well as with industry partners worldwide.

NUS Cities hence draws on the varied talent and expertise of the University in its colleges, faculties and departments and centres of excellence to drive research to better plan, manage, and govern, high-density, high-growth, sustainable, resilient, and liveable cities through an urban systems approach and systems thinking.

The full-time appointment for this Research Fellow position is for a contract period of 1 to 2 years with the possibility of renewal.

Responsibilities 

• Establish and manage large databases.
• Interpret and analyse data
• Generate reports and presentation of data to relevant stakeholders
• Generate conference presentations and papers for submission to peer reviewed journals
• Collaborate across teams, contributing to multiple research projects at once
• Work closely with research PIs to develop new research ideas and ensure the successful and timely completion of the project(s)

Qualifications

• Doctorate degree
• Candidates interested in Cities and keen to delve into any of the below research modules are strongly encouraged to apply:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• At least three recent and relevant good journal papers on any of the below modules:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• Proficient in data analysis and visualisation tools in quantitative research or any relevant software and tools
• Keen interest in Cities
• Strong background with extensive experience leading research projects would be an advantage
• Excellent written and verbal communication skills
• Resourceful and self-driven
• Adaptable and able to multitask well with clear follow-through
• Demonstrated ability to work independently and thrive in a fast-paced environment
• Commitment to the ongoing development of a positive organisational culture
• Willingness to contribute to a learning environment

The role is based in Singapore.

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

Most of the world now live in cities. Liveable, sustainable and resilient cities are needed to face the looming challenges of climate change, the next pandemics, ageing populations and technological, social and economic disruptions such as what we are currently experiencing.

NUS Cities is a multi-disciplinary, open and inclusive collaborating platform comprising the following three pillars: education, research and advisory.

Education: Educate the next generation of students as well as current practitioners to take an urban systems approach to plan, govern, build and manage cities, using a strong case-based approach taught by both practitioners and academics.

Research: Taking a systems approach tacking some of our biggest urban challenges, and in the process, gradually developing a Science of Cities.

Advisory: Provide strategic advisory services to organisations and cities. NUS Cities will also partner other universities and research institutions locally and internationally, as well as with industry partners worldwide.

NUS Cities hence draws on the varied talent and expertise of the University in its colleges, faculties and departments and centres of excellence to drive research to better plan, manage, and govern, high-density, high-growth, sustainable, resilient, and liveable cities through an urban systems approach and systems thinking.

The full-time appointment for this Research Assistant position (Business Title: Associate, NUS Cities) is for a contract period of 1 year with the possibility of renewal.

Responsibilities 

• Establish and manage databases.
• Interpret and analyse data
• Assist in generating conference presentations and papers for submission to peer reviewed journals
• Collaborate across teams, assisting in multiple research projects at once
• Assist research PIs to ensure the successful and timely completion of the project(s)
• Any other tasks assigned

Qualifications

• Minimum Masters’ degree in a relevant discipline
• Candidates interested in Cities and any of the below research modules are encouraged to apply:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• Proficient in Data analysis and visualisation tools in quantitative research or any relevant software and tools
• Keen interest in Cities
• Excellent written and verbal communication skills
• Resourceful and self-driven
• Adaptable and able to multitask well with clear follow-through
• Commitment to the ongoing development of a positive organisational culture
• Willingness to contribute to a learning environment

The role is based in Singapore.

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

Genetic engineering of plants promises to provide sustainable solutions for food security and climate change mitigation. Current genetic engineering technologies using Agrobacterium, viruses and nanoparticles through syringe injection and biolistic bombardment suffer from limitations including narrow ranges of host species, low transformation efficiencies, strict restrictions on cargo types and sizes, tissue damage and unwanted transgene integration into plant genome. A major challenge to deliver exogenous material into plants is the cell wall barrier. The Tay lab will be hiring a research fellow to develop nanomaterials for plant genetic engineering, with the goal to produce plants with enhanced traits such as higher yield and weather-resistant.

Conducting experiments, writing manuscripts

Qualifications

PhD in materials engineering or plant biology; 2 first author papers; ideally, experience in in vivo and in vitro plant work

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

Most of the world now live in cities. Liveable, sustainable and resilient cities are needed to face the looming challenges of climate change, the next pandemics, ageing populations and technological, social and economic disruptions such as what we are currently experiencing.

NUS Cities is a multi-disciplinary, open and inclusive collaborating platform comprising the following three pillars: education, research and advisory.

Education: Educate the next generation of students as well as current practitioners to take an urban systems approach to plan, govern, build and manage cities, using a strong case-based approach taught by both practitioners and academics.

Research: Taking a systems approach tacking some of our biggest urban challenges, and in the process, gradually developing a Science of Cities.

Advisory: Provide strategic advisory services to organisations and cities. NUS Cities will also partner other universities and research institutions locally and internationally, as well as with industry partners worldwide.

NUS Cities hence draws on the varied talent and expertise of the University in its colleges, faculties and departments and centres of excellence to drive research to better plan, manage, and govern, high-density, high-growth, sustainable, resilient, and liveable cities through an urban systems approach and systems thinking.

The full-time appointment for this Research Fellow position is for a contract period of 1 to 2 years with the possibility of renewal.

Responsibilities 

• Establish and manage large databases.
• Interpret and analyse data
• Generate reports and presentation of data to relevant stakeholders
• Generate conference presentations and papers for submission to peer reviewed journals
• Collaborate across teams, contributing to multiple research projects at once
• Work closely with research PIs to develop new research ideas and ensure the successful and timely completion of the project(s)

Qualifications

• Doctorate degree
• Candidates interested in Cities and keen to delve into any of the below research modules are strongly encouraged to apply:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• At least three recent and relevant good journal papers on any of the below modules:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• Proficient in data analysis and visualisation tools in quantitative research or any relevant software and tools
• Keen interest in Cities
• Strong background with extensive experience leading research projects would be an advantage
• Excellent written and verbal communication skills
• Resourceful and self-driven
• Adaptable and able to multitask well with clear follow-through
• Demonstrated ability to work independently and thrive in a fast-paced environment
• Commitment to the ongoing development of a positive organisational culture
• Willingness to contribute to a learning environment

The role is based in Singapore.

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

Most of the world now live in cities. Liveable, sustainable and resilient cities are needed to face the looming challenges of climate change, the next pandemics, ageing populations and technological, social and economic disruptions such as what we are currently experiencing.

NUS Cities is a multi-disciplinary, open and inclusive collaborating platform comprising the following three pillars: education, research and advisory.

Education: Educate the next generation of students as well as current practitioners to take an urban systems approach to plan, govern, build and manage cities, using a strong case-based approach taught by both practitioners and academics.

Research: Taking a systems approach tacking some of our biggest urban challenges, and in the process, gradually developing a Science of Cities.

Advisory: Provide strategic advisory services to organisations and cities. NUS Cities will also partner other universities and research institutions locally and internationally, as well as with industry partners worldwide.

NUS Cities hence draws on the varied talent and expertise of the University in its colleges, faculties and departments and centres of excellence to drive research to better plan, manage, and govern, high-density, high-growth, sustainable, resilient, and liveable cities through an urban systems approach and systems thinking.

The full-time appointment for this Research Fellow position is for a contract period of 1 to 2 years with the possibility of renewal.

Responsibilities 

• Establish and manage large databases.
• Interpret and analyse data
• Generate reports and presentation of data to relevant stakeholders
• Generate conference presentations and papers for submission to peer reviewed journals
• Collaborate across teams, contributing to multiple research projects at once
• Work closely with research PIs to develop new research ideas and ensure the successful and timely completion of the project(s)

Qualifications

• Doctorate degree
• Candidates interested in Cities and keen to delve into any of the below research modules are strongly encouraged to apply:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• At least three recent and relevant good journal papers on any of the below modules:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• Proficient in data analysis and visualisation tools in quantitative research or any relevant software and tools
• Keen interest in Cities
• Strong background with extensive experience leading research projects would be an advantage
• Excellent written and verbal communication skills
• Resourceful and self-driven
• Adaptable and able to multitask well with clear follow-through
• Demonstrated ability to work independently and thrive in a fast-paced environment
• Commitment to the ongoing development of a positive organisational culture
• Willingness to contribute to a learning environment

The role is based in Singapore.

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

Most of the world now live in cities. Liveable, sustainable and resilient cities are needed to face the looming challenges of climate change, the next pandemics, ageing populations and technological, social and economic disruptions such as what we are currently experiencing.

NUS Cities is a multi-disciplinary, open and inclusive collaborating platform comprising the following three pillars: education, research and advisory.

Education: Educate the next generation of students as well as current practitioners to take an urban systems approach to plan, govern, build and manage cities, using a strong case-based approach taught by both practitioners and academics.

Research: Taking a systems approach tacking some of our biggest urban challenges, and in the process, gradually developing a Science of Cities.

Advisory: Provide strategic advisory services to organisations and cities. NUS Cities will also partner other universities and research institutions locally and internationally, as well as with industry partners worldwide.

NUS Cities hence draws on the varied talent and expertise of the University in its colleges, faculties and departments and centres of excellence to drive research to better plan, manage, and govern, high-density, high-growth, sustainable, resilient, and liveable cities through an urban systems approach and systems thinking.

The full-time appointment for this Research Fellow position is for a contract period of 1 to 2 years with the possibility of renewal.

Responsibilities 

• Establish and manage large databases.
• Interpret and analyse data
• Generate reports and presentation of data to relevant stakeholders
• Generate conference presentations and papers for submission to peer reviewed journals
• Collaborate across teams, contributing to multiple research projects at once
• Work closely with research PIs to develop new research ideas and ensure the successful and timely completion of the project(s)

Qualifications

• Doctorate degree
• Candidates interested in Cities and keen to delve into any of the below research modules are strongly encouraged to apply:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• At least three recent and relevant good journal papers on any of the below modules:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• Proficient in data analysis and visualisation tools in quantitative research or any relevant software and tools
• Keen interest in Cities
• Strong background with extensive experience leading research projects would be an advantage
• Excellent written and verbal communication skills
• Resourceful and self-driven
• Adaptable and able to multitask well with clear follow-through
• Demonstrated ability to work independently and thrive in a fast-paced environment
• Commitment to the ongoing development of a positive organisational culture
• Willingness to contribute to a learning environment

The role is based in Singapore.

Responsibilities

• Conduct research within assigned area of fixed income market coverage using information sources, including financial statements, earnings reports, published research, financial databases, corporate and management access
• Generate timely, and actionable bond investment ideas. Work with other members of the research team to evaluate a comprehensive range of bonds and bond funds
• Achieve and maintain a coverage list of bond issuers, and provide periodic research recommendations for bonds in the coverage list and newly issued bonds
• Communicate these investment ideas to the investing public and internal stakeholders through research reports, presentations, and other channels
• Contribute investment views and research in collaboration with the regional offices
• Contribute to the growth of the firm's fixed income business
• Undertake additional/ ad-hoc duties and projects assigned

Requirements

• Bachelor degree holder in a related discipline (accountancy, economic, finance or business administration), preferably with investment research experience
• Experience working with systems such as Bloomberg is desirable
• Good understanding of financial statements, bond mathematics, and macro drivers
• Demonstrated strong analytical skills, numerical capability, and attention to detail
• Excellent communication skills. Strong command of both spoken and written English. Mandarin speaking capability is a plus
• Demonstrated interest in and passion for investing
• Able to multi-task and meet constant deadlines

• Hiring, training, and coordinating undergraduate research assistants
• Extensive work with data, including organization, cleaning, coding, and analysis
• Manage the participant reimbursements
• Maintain data security and confidentiality
• Provide timely updates of studies to PI
• Working with participants across a range of settings and studies
• Research and administrative duties (e.g., preparation of manuscripts for publication, conference presentations, purchases, grant reports)
• Any other work assigned by the PI