Position: Marketing Research Executive (Job ID: 19417)

• WFH Arrangement
• Attractive company benefits
• Company travel opportunities (Asia Region/Europe Region)

Company: Manufacturing

Location: West (5-10 minutes walk from MRT station)

Job Description:

• Research & analysis of market/technology trends related to business development in the Asia region (agri-food tech etc.). (including participation in exhibitions and reporting to the head office in Japan)
• Hearing and research of trend of potential partners(government-affiliated organizations, universities and startups) , and business proposal.
• Research to create new business and values, analyze, devise issues, and propose business models.
• Relation building related to ecosystem(Management and planning event / SNS)
• Make reservations such as hotel and pick-up arrangements for Japanese people who come to Singapore for business trip. Support them when they need support.
• Other ad-hoc duties assigned.

Job Requirements:

• Able to prepare report materials using Excel, PowerPoint, and Word.
• Experience of market and consumer research and analyze is required .
• Proficiency in Japanese is needed to prepare materials and reports for the Japan HQ.
• Interest in areas such as open innovation, agri-food tech and healthcare.
• Skill of Innovation and business development.
• Experience of management and planning of SNS / branding / events.
• Knowledge about biotechnology, experience about Agri-food tech region.

Interested applicants please send your resume to Jing Ling with email subject header “Job Application for Marketing Research Executive (Japanese Speaking)(Job ID: 19417)”.

We regret that only shortlisted candidates will be notified. Other applications will be updated to our database for future job opportunities.

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Tan Jing Ling

EA Registration No: R24124404
Pasona Singapore Pte Ltd
1 FINLAYSON GREEN ＃09-02 SINGAPORE 049246
Direct: +65 6239-4223 | General: +65 6732-6933 | Fax: +65 6733-2761
Email: [email protected]

URL: www.pasona.com.sg

EA License No:90C4069

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

The National University of Singapore invites applications for the position of Research Fellow 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 in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, 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 Fellow will be responsible for working closely with the Principal Investigator on one or more research projects. In particular, the research fellow is going to investigate the design of novel database systems on modern hardware (e.g., GPUs and/or Non-volatile memory) and data science applications.

Only shortlisted applicants will be notified.

Qualifications

• A PhD degree in Computer Science or related field
• Experience in research and Good publication record
• Strong systems development skills

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 for “High-throughput culturomics study of human microbiota” in the Department of Biochemistry, Yong Loo Lin School of Medicine. The Department undertakes excellence in research and scholarship through intimate support of our faculty and staff in the NUS Medicine Translational Research Programmes (TRPs). Our scientific strengths and leadership is evidenced by Biochemistry being the academic home of 4 TRP Directors, and by stellar research scholarship in cancer, cardiovascular disease, digital medicine, healthy longevity, human potential, infectious disease, immunology, precision medicine and synthetic biology. Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

We are seeking a skilled Research Assistant to support our advanced research in developing new methodologies utilising cutting-edge automation approach to unveil the complex connection between microbial population and human health. The successful candidate will primarily be responsible for sample preparation, single-cell isolation workflow optimization, and novel bacterial species characterisation. This role offers an excellent opportunity to work with state-of-the-art single-cell dispensing platform, develop expertise in high-output nanopore sequencing, and contribute to impactful scientific research.

Main Duties and Responsibilities

This role will suit an individual passionate about microbiology and omics study to understand host-microbes interactions. The RA will be able to:

1. conduct wet lab experiments;
2. Assist in the isolation, characterisation, and genomic analysis of bacterial samples;
3. Prepare research findings for publications, reports, and presentations;
4. Undertake the day-to-day running of the project and collaborate with team members in supporting lab operation;
5. Daily lab management tasks such as inventory of supplies and samples, preparing culture media and solutions, autoclaving materials, ordering supplies and maintaining bacterial cultures and stocks;
6. Conduct literature searches and analyse data, as well as assist in preparing both progress and final reports of the project;
7. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
8. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. At least Bachelor’s degree in Microbiology or a related field.
2. Prior experience in laboratory research, aerobic and anaerobic bacteria handling, or molecular genetics is highly preferred.
3. Proficiency in techniques in cell and molecular biology such as PCR, DNA/RNA extraction, sequencing, fluorescence microscopy, and cloning.
4. Strong data analysis skills and familiarity with microbial culturomics.
5. Excellent verbal and written communication, able to prepare clear research documentation and contribute to team discussions.
6. Highly organised, detail-oriented, with the ability to work both independently and collaboratively in a team-oriented environment.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Assoc. Prof. Niranjan Nagarajan ([email protected]) and Dr. On Yue Yuan ([email protected]).

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations (if any) and full contacts of three (3) referees to this job portal.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant for the Cardiovascular-Metabolic Diseases Translational Research Programme (CVMD TRP), Yong Loo Lin School of Medicine. CVMD TRP is a multidisciplinary team of scientists working towards mechanistic understanding of cardiovascular and metabolic diseases and development of novel therapeutic approaches. Appointment of the position will be on two-year contract with possible extension.

Job Description

We are looking for a research assistant with two main roles. The RA will assist with basic laboratory experiments including mouse phenotyping, protein biochemistry, molecular biology and cell culture in the laboratory of Dr. Roshni Singaraja in the CVDM TRP. At the same time, the RA will be working with CVMD TRP admin lead with a blend of administrative duties related to laboratory work and coordination of day-to-day operation at the bench.

Job Scope

Based on this broad job scope, we welcome applications from those with a certain level of exposure to lab-based research and awareness of the nature of administrative duties specified below. TRP will do due diligence to balance the workload between the two lines of duty accordingly and ensure work-life balance to the best of our abilities.

Responsibilities

1. Administrative Duties (CVMD TRP)

• Procurement of laboratory consumables
• Upkeep of instrument and consumables and other housekeeping matters
• Lab safety-related matters
• Assisting admin head with the organization and logistics of TRP-led events
• Other potential ad hoc duties by the TRP admin lead

Responsibilities

1. Research Duties (Singaraja lab)

• Biomedical experiments such as cell culture, PCR, western blot, immunohistochemical staining, etc.
• Mouse models and phenotyping
• Western immunoblotting and protein biochemistry (co-immunoprecipitation and affinity purification)
• Lab management

Qualifications

• Bachelors in Life Sciences with more than 2 years of work experience
• Excellent analytical, technical and problem-solving skills
• Experience in protein biochemistry
• Highly collaborative, and motivated to support the research team
• Excellent verbal and written communication skills in English
• Strong organizational skills and outstanding attention to detail

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

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

The NeuroPhenomics Lab is dedicated to the profound exploration of brain tumor biology, focusing particularly on key driver mutations like IDH1 and IDH2. These mutations significantly contribute to the development of aggressive malignant gliomas by altering chromatin structure and genome methylation, thus influencing tumor evolution. Beyond this, our lab is committed to identifying other genetic alterations with potential clinical relevance.

We are currently seeking a Research Officer who is passionately interested in translational cancer research. The ideal candidate should have a robust background in biochemistry, with a preference for experience in protein engineering and antibody work.

Job Requirements:

• A Bachelor"s or Master"s degree in Biology, Biochemistry, or Biochemical Engineering.
• In-depth knowledge of PCR and molecular cloning.
• Experience with proteins and antibody engineering is preferred.
• Proficiency in wet lab techniques.
• Strong teamwork abilities; leadership experience is highly desirable.
• Ability to work independently with a proactive approach.
• A positive and eager attitude toward learning, coupled with responsibility and excellent organizational skills.
• Advanced skills in critical thinking, communication, and building interpersonal relationships.

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 Department of Chemical and Biomolecular Engineering, National University of Singapore, is inviting applications for 1 Research Engineer (RE) position under Associate Professor Sibudjing Kawi’s group. The candidate will work on A*STAR LCERFI research project entitled “Methane Pyrolysis for Hydrogen and Carbon Nanotube Production via Novel Catalytic Membrane Reactor System”.

Qualifications

Master degree in chemistry/chemical engineering in the area of catalysts, inorganic membranes and inorganic membrane reactors for high temperature reactions.

• Proven experience (with good research track record in terms of publications and/or patents) in the field of inorganic hollow fiber membrane synthesis, catalyst synthesis/characterization/testing for hydrocarbon pyrolysis and catalytic membrane reactor design.
• Strong team player skills and the ability to work harmoniously with a diverse workforce.

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

This critical team is responsible for managing enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

Responsibilities:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• Planning and delivering of high performing models, meeting agreed deadlines and ensuring accurate, efficient implementation of models in production systems
• Learning industry developments and best practices, conducting research and development to incorporate best in class modelling methodologies and share with the team
• Performing annual reviews, performance monitoring reviews, retrains and remediation activity on models as required
• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to revolutionize the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solutions
• Lead, engage, and inspire a large team of high performing risk management professionals

Qualifications:

• PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. PhD degree with practical experiences NLP is a significant plus.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multi-task
• Strong communication skills
• Strong people leader and team player with a demonstrated ability to develop team members and create highly effective and results-driven culture
• Strong relationship management and proven track record of positively collaborating and partnering with stakeholders
• Ability to learn quickly and work independently with sophisticated, unstructured initiatives
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint

Designation: Primary Science Technician

Department: Early Years and Primary School

Grades: SK - Grade 6

Reports to: Vice-Principal

Works collaboratively with: Teachers, PYP Coordinators

Assigns task to / supervises: None

KEY ACCOUNTABILITY (Main purpose of this job):

The Primary School Science Technician will support teachers in all aspects of science teaching with the PYP. This includes organising and maintaining resources and providing in-class support working with teachers and students where required.

RESPONSIBILITIES:

General Responsibilities

• Assist and guide students by demonstrating appropriate support, patience, kindness and caring
• Develop students’ self-esteem and positive self-concept
• Supervise, observe and encourage positive student behavior in a developmentally appropriate way, and in keeping with the values of our school
• Model the CIS values of Excellence, Respect, Collaboration, Creativity, Curiosity, and Generosity
• Abide by the dress code of the school
• Attend professional learning and training sessions when required by the school

Science Specific Responsibilities

Science Resource Organisation

• Source, purchase, and catalogue resources
• Compile orders and liaise with suppliers and finance departments as/when required
• Manage a booking system for teachers and ensure the availability of suitable resources
• Coordinate the preparation of resources for lessons, including liaising with the coordinator, teaching staff and support staff
• Maintain an accurate inventory of resources to ensure that stock levels are maintained, resources are returned in working order and future requirements are identified
• Provide general assistance in the safe storage, transit and accessibility of resources in line with current health and safety guidelines

PYP Science laboratory

• Keeping the laboratory neat and tidy and equipment and resources stored
• Working with students on individual or class projects

In-class support

• Trial practical activities/experiments to troubleshoot potential challenges
• Support and assist teachers during practical activities
• Work with students on individual projects in class

REQUIREMENTS & EXPERIENCE:

• Post secondary education and or certification in an education-related field
• Prior experience working in an educational setting preferred

COMPETENCIES:

• Culturally competent and able to work with culturally diverse staff and students in a bilingual and multilingual setting
• Service-oriented
• Enjoys interacting with students, and teachers
• Ability to work collaboratively with students and teachers
• Comfortable operating and setting up basic equipment and ensuring students follow safeguarding procedures
• Problem solver
• Tech savvy. Able to confidently use of Google Suite applications (e.g Doc, Sheets, Forms) and databases
• Strong oral and written communication skills
• Demonstrated initiative and organizational skills, with attention to detail
• Ability to work independently
• Ability to work under pressure
• Ability to safely manage and move equipment weighing up to 20 kg, with reasonable accommodations provided as necessary.

Job Description:

- Conduct Science and basic Coding classes according to the lesson guide

- Manage a group of up to 12 children with kids experiments and craft inventions

- Prepare teaching materials

- Craft lesson plans for children age 3 - 6 years old based on Centre's curriculum guidelines

Requirements:

- Min A levels / Diploma

- Enthusiastic and able to interact with children

- Punctual

- Fluent in English

- Basic knowledge in Science and Coding ; or strong in Math logic

- Teaching experience and/or experience with children is a must as this is an immediate position

- All candidates must be vaccinated and must go through a pre-employment health screening (covered by us).

*Stay-home mums / freelancers are welcome!

Please email us with your resume and a photograph of yourself.

Successful candidates will be contacted for an interview.

Interested candidates must be able to commit for 1 year (minimum) - twice to 4 times a week depending on your availability. For example; if you are assigned to a school on Monday, you are expected to commit on all Mondays in the year with the exceptions of school closures, public holidays, and medical leave.

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 appointed Research Assistant will be part of the Asia Competitiveness Institute (ACI) research team, under ACI Director, Professor Paul Cheung, to work on a number of research projects related to Indonesia.

The candidates should have experience in policy analysis and are familiar with socio-economic development of Indonesia.

Qualifications

• Bachelor/Masters degree in Economics, Social Sciences, or equivalent
• Familiar with socioeconomic development of Indonesia
• Familiar with working on the large economic datasets for statistical analysis
• Demonstrate good organisational and analytical skills
• Excellent verbal and written English
• Candidate must be able to research information sources that are in Bahasa Indonesia
• Able to multitask and manage tight timelines
• Able to work in a team as well as independently. Must be highly self-motivated
• Able to commit to at least 1 year of service

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 / Research Engineer 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 / Research Engineer will be responsible for working closely with the Principal Investigator and lab members on topics of “Automation of Threat Detection in Security Operation Centers (SOCs)”. He/she should possess experience or interest in the following research areas:

· Security Information and Event Management (SIEM) system

· Large Language Models

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Good publication record: and
• Experience in research.

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

Job Title: Research Fellow in Spatial Epidemiology

Location: Singapore

The Saw Swee Hock School of Public Health at the National University of Singapore (NUS) seeks a highly motivated and skilled Research Fellow to join an interdisciplinary research project on surveillance for zoonotic and vector-borne diseases in changing environments (SENSOR Project). This project focusing on emerging diseases in Borneo and is conducted in collaboration with an international consortium of universities in Malaysia, Singapore and the UK. This position offers the opportunity to work on ground-breaking research projects in the broad areas of environmental change, infectious disease surveillance, spatial epidemiology, machine learning and global health.

Key responsibilities:

• Conduct high quality research in epidemiology, machine learning and/or meta-analyses to identify impacts of environmental change on infectious disease dynamics and design targeted surveillance approaches;
• Develop and implement statistical methods, computational models and/ or machine learning algorithms to analyse environmental and infectious disease data;
• Collaborate with multidisciplinary teams of researchers, including epidemiologists, biologists, environmental scientists and policy makers;
• Present research findings at national and international conferences and publish results in peer-reviewed scientific journals;
• Support design of field studies in collaboration with international partners;
• Assist in the supervision and mentoring of graduate students and junior researchers; and
• Contribute to grant proposals and progress reports for funding agencies.

Qualifications:

• A PhD in a relevant field such as epidemiology, geography, computer science or a related discipline;
• Strong background in any one of machine learning, infectious disease modelling, epidemiology, quantitative environmental science or ecology, remote sensing or a related field;
• Proficiency in programming languages such as R or Python;
• Experience with machine learning or statistical methods applied to public health and/ or environmental challenges;
• Interest in climate and environmental change and infectious disease dynamics;
• Excellent written and verbal communication skills, including presenting complex concepts to diverse audiences;
• Demonstrated ability to work effectively in a multidisciplinary team and independently; and
• Track record of publications in peer-reviewed journals.

Review of applications will begin immediately and continue until the position is filled. The anticipated start date is February 2025, but this is negotiable. The initial appointment will be for one year, with the possibility of renewal based on performance.

NUS is an equal-opportunity employer committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, age, national origin, or disability.

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 highly motivated and talented Research Fellows to join our dynamic research team. The successful candidate will work on cutting-edge projects in fields of advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics. The role includes conducting independent research, collaborating across disciplines, and contributing to high-impact publications in reputable international journals. This position provides an excellent opportunity to develop your expertise in innovative technologies while working in a collaborative and multidisciplinary environment.

Qualifications

• A PhD degree in materials, chemistry, chemical engineering, mechanics, biological engineering, or any related fields.
• Strong expertise in advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics.
• A proven track record of publications in reputable international journals.
• Excellent written and spoken communication skills.
• Strong problem-solving skills, attention to detail, and the ability to work independently.
• A collaborative mindset and the ability to work effectively in a multidisciplinary team.
• Less than 3 years of work experience after obtaining a PhD degree.

NMR Research Fellow position is open in NTU Center of High Field NMR Spectroscopy and Imaging at Nanyang Technological University (NTU), Singapore.

Key Responsibilities:

• Perform day-to-day management of the facility and to provide professional support for the NMR users and collaborators
• Provide technical support
• Carry out trainings in advanced solid-state NMR and solution-state NMR
• Perform instrument maintenance and hardware troubleshooting
• Participate in research projects

Job Requirements:

• PhD from renowned university in the field of biochemistry/biophysics, chemistry, material sciences or related fields.
• Previous experience with solid state NMR is a plus.
• Should have a passion for basic research, NMR development and application, and is expected to participate in research projects.

NTU 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.

<For MCF only> Interested applicants are invited to apply directly at our NTU Career Portal.

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

We are seeking an enthusiastic PhD. candidate who can perform experiments (e. g., e-beam lithography, photo-lithography, top-down fabrication techniques, design/building optical characterization setups) and numerical simulations (e.g., FDTD, RCWA, and so on).

Qualifications

• Possess a Ph.D. Degree in either Electrical or Mechanical Engineering.
• Qualified experimental, simulations skills.
• 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 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 resolution of batch effects in antibody and microRNA profiling data for an esophageal squamous cell carcinoma (ESCC) project.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area
• Familiarity with analysing omics datasets
• Understand the interplay between batch effects and missing values
• Knowledge of methods for resolving batch effects
• Ability to make robust analysis in the presence of batch effects

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

Job Description

• Industry/ Organization Type: Chemical Manufacturing
• Position Title: Research Officer (R&D)
• Working Location: Central
• Working Hours: Monday to Friday (8.45 AM – 5.30 PM)
• Salary Package: Basic Salary up to $3,800 + AWS + Bonus + Transport Allowance + Flexible Benefits
• Duration: Contract (3 years – Renewable)

Key Responsibilities

• Develop new technologies for molecular and immunological assays.
• Integrate assays into prototype medical devices.
• Handle ordering and payment using the SAP system.
• Ensure that all assays and processes meet stringent quality standards and regulatory requirements.
• Analyze experimental data to draw meaningful conclusions and make recommendations for further research.
• Work closely with cross-functional teams, including R&D, production, and quality assurance, to ensure seamless integration of new technologies.
• Adhere to all safety protocols and guidelines to maintain a safe and compliant work environment.
• Identify areas for process improvement and implement changes to enhance efficiency and effectiveness.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Bachelor’s Degree in Life Sciences, Microbiology, Molecular Biology or relevant discipline
• At least 1 year of relevant research or laboratory R&D experience
• Experience in assay development is an added advantage

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #68611 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

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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 NUS Global Asia Institute (GAI) seeks a full-time Research Assistant/Associate to support faculty and researchers in carrying out projects related to business resilience, economic adaptation, and corporate history. The role focuses on the study of firms navigating adverse environments, as outlined in our forthcoming research project on business resilience across diverse industries and geographies.

We are looking for someone with exceptional writing and research skills, an innovative mindset, and the ability to work independently. The candidate will collaborate closely with world-class faculty and post-doc researchers, contributing to the development of case studies and actionable frameworks. This position offers hands-on experience in academic research, project management, and business writing, providing valuable exposure to historical and contemporary corporate strategies.

Salary benefits will be commensurate with skillset, experience and qualifications.

Qualifications

• At least a Bachelor’s degree from a reputable institution.
• Academic background in the social sciences or business-related fields.
• Strong interest in business writing and case writing.
• Highly organized, meticulous and detail oriented.
• Ability to multi-task and handle multiple projects concurrently.
• Proficient in Microsoft Office.
• Fluency in programming languages (such as R and Stata) will be an advantage.