Job Description

• Handling incoming and outgoing calls pertaining to residents' queries / feedback;
• Assist in cases creation in the system;
• Follow up with residents on the progress of the cases that have been attended by the estate team or other department (case by case) prior closing it in the system;
• Liaise with other team members from other departments pertaining to the feedback or queries cases;
• Any other duties assigned by the supervisor.

Job Requirements

• Must possess clear speaking voice and strong verbal communication skills;
• Proficient in English and/or other language / dialect to converse effectively with residents in Singapore;
• IT savvy;
• Able to work independently and also a team player;
• Fresh graduates with no work experience are welcome to apply as training is provided;
• Working Hours :4 Weekdays between Mondays to Fridays either 8am to 1230pm (for AM shift) OR 1230pm to 5pm (for PM shift) including 1 OFF day and Every Saturdays: 8am to 1pm.

Only shortlisted candidates will be notified.

Job Description

Sea group is seeking research scientists to join Sea AI Lab (SAIL). SAIL focuses on fundamental research and application research on Artificial Intelligence (AI), which include deep learning, machine learning, computer vision, etc. The role of a research scientist is to design novel models and propose new general-purpose algorithms that help machines perceive, think, and act in the world. The ideal candidate should have an enthusiasm in advancing the understanding of intelligence and a passion for ambitious breakthroughs in AI. To learn more about our research and our lab, please visit https://sail.sea.com/

• Conduct fundamental research on artificial intelligence problems, including but not limited to the understanding of (labelled and/or unlabelled) data from multiple modalities (image, video, text, audio, bio-data, etc); 3D computer vision; network architecture design; generative models; large-scale optimization;
• Research on long-term ambitious goals, while laying out intermediate milestones;
• Publish influential research work on top conferences and journals;
• Collaborate on large projects that are strategically prioritized by the SAIL.

Job Requirements

• Previous research experience in a university, industry, or government lab(s), in a role with primary emphasis on AI research;
• Holding a Ph.D. degree in computer science, statistics, applied mathematics, data science or other related disciplines;
• First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL) and journals (e.g., TPAMI, JMLR, AIJ), or authored publications in CNS (Cell, Nature/Nature research journals, Science);
• Knowledge in one of the differentiable programming frameworks, e.g., PyTorch, TensorFlow, JAX;
• (Preferred) Track record of high impact research (e.g. multiple papers with 100+ citations);
• (Preferred) Received best paper or equivalent awards in the aforementioned conferences;
• (Preferred) Winner of international academic competitions.

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.

Energy Studies Institute

The Energy Studies Institute (ESI) is a research institute at the National University of Singapore seeking to advance the understanding of energy policy issues by conducting independent research and analysis. We are looking for researchers to join a multi-disciplinary team carrying out research projects on a range of energy issues that are of concern to Singapore and the region.

Job Description

• Conduct advanced research on energy and environmental systems to support policy-making for Singapore's decarbonization pathways.
• Participate in engagements with stakeholders and external research groups; supervise research students involved in the study.
• Produce policy reports, documentation and publish articles in reputable academic journals.
• Cultivate networks, initiate collaborations, and prepare funding proposals to support ongoing research.
• Perform administrative duties, including organizing seminars, workshops, and conferences, along with other responsibilities as assigned by the Head of Division or Principal Investigator.

Requirements

• Possess a master’s degree in energy systems modelling, energy and climate economics, or related quantitative research fields.
• At least two years of relevant research experience in areas including: national-level energy systems model (e.g. MARKAL-TIMES, GCAM, CGE), sector-specific energy system model (e.g. power, transportation, industry), techno-economic evaluation for energy and decarbonization technologies, or energy and environmental analysis (e.g. decomposition analysis, input-output analysis, life cycle analysis).
• A good understanding and interest in energy and environmental issues, such as energy supply, demand, trade, efficiency, energy and environment relations, and climate change.
• Experience in energy system model integration is a plus.
• Relevant working and practical experience in industry or government agencies in energy and environment in Singapore would be highly valuable.
• Track record of publications in reputable energy, environmental and/or systems modelling-related journals would be an advantage.
• Able to work independently and collaborate with team members.

Application Process

To apply for this position, please combine the following documents in 1 PDF and attach it under the CV column when submitting your application:

• Curriculum vitae
• A cover letter, of no more than 800 words, explaining the applicant’s past research experience and aptitude in relation to the research project

Interested candidates, please submit your application with all the required documents. Only shortlisted applicants will be notified. Shortlisted applicants may be called for interview, either in person or by zoom, as appropriate. If you have not heard from us within 3 months, you should assume that your application has not been successful.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on a Pharmaceutical Innovation Programme Singapore research project where you will be part of a collaborative team exploring innovative ways of understanding extrusion processing for pharmaceutical drug materials and products using rheological measurements.

Key Responsibilities

In this role, you will characterize mixtures of pharmaceutical excipients and drug materials to develop methodologies for screening hot-melt extrusion formulations and selecting optimal operating conditions using rheology, with the objective of producing amorphous-solid-dispersions. You will validate the developed processing space and operating conditions for extruded pharmaceutical formulations using a lab-scale extruder. In collaboration with researchers at the Singapore-MIT Alliance for Research and Technology (SMART), you will characterize the physical properties and performance of intermediate pharmaceutical drug products. The created methods will be transferred to the industrial partner to enhance their product development process using rheological characterization.

More specific responsibilities include:

• Participate in and manage the research project with Principal Investigator (PI), and the research team members to ensure all project deliverables are met.
• Undertake characterization of pharmaceutical active ingredients, polymeric excipients, and plasticizers for producing amorphous-solid-dispersions.
• Perform lab-scale hot-melt extrusion of pharmaceutical materials to validate predicted processing conditions and product outcomes.
• Collaborate with broader pharmaceutical research team at SMART.
• Design, execute, and interpret experiments independently.
• Author papers in high-quality journals in areas that are related to the research.
• Prepare and deliver reports and presentations for industrial partners
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaise with vendors/suppliers.
• Work independently, as well as within a team.

Job Requirements

• Have deep hands-on experience with at least one of the areas of polymer rheology, extrusion processing, pharmaceutical engineering with small molecules.
• Relevant competence in the areas of wet lab work, analytical instrumentation, material science and formulation
• Have an advanced degree in chemical engineering, mechanical engineering, materials science and engineering, or a related field.
• Knowledge of any of the following will be advantageous: rheology, physical characterisation, crystallisation, polymer melts, extrusion, material physics.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development.
• Proficient in communicating via technical writing and presentations.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of 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.

Energy Studies Institute

The Energy Studies Institute (ESI) is a research institute at the National University of Singapore seeking to advance the understanding of energy policy issues by conducting independent research and analysis. We are looking for researchers to join a multi-disciplinary team carrying out research projects on a range of energy issues that are of concern to Singapore and the region.

Job Description

• Conduct advanced research on energy and environmental systems to support policy-making for Singapore's decarbonization pathways.
• Participate in engagements with stakeholders and external research groups; supervise research students involved in the study.
• Produce policy reports, documentation and publish articles in reputable academic journals.
• Cultivate networks, initiate collaborations, and prepare funding proposals to support ongoing research.
• Perform administrative duties, including organizing seminars, workshops, and conferences, along with other responsibilities as assigned by the Head of Division or Principal Investigator.

Requirements

• Possess a PhD degree in energy systems modelling, energy and climate economics, or related quantitative research fields.
• At least two years of relevant research experience in areas including: national-level energy systems model (e.g. MARKAL-TIMES, GCAM, CGE), sector-specific energy system model (e.g. power, transportation, industry), techno-economic evaluation for energy and decarbonization technologies, or energy and environmental analysis (e.g. decomposition analysis, input-output analysis, life cycle analysis).
• A good understanding and interest in energy and environmental issues, such as energy supply, demand, trade, efficiency, energy and environment relations, and climate change.
• Experience in energy system model integration is a plus.
• Relevant working and practical experience in industry or government agencies in energy and environment in Singapore would be highly valuable.
• Track record of publications in reputable energy, environmental and/or systems modelling-related journals would be an advantage.
• Able to work independently and collaborate with team members.

Application Process

To apply for this position, please combine the following documents in 1 PDF and attach it under the CV column when submitting your application:

• Curriculum vitae
• A cover letter, of no more than 800 words, explaining the applicant’s past research experience and aptitude in relation to the research project

Interested candidates, please submit your application with all the required documents. Only shortlisted applicants will be notified. Shortlisted applicants may be called for interview, either in person or by zoom, as appropriate. If you have not heard from us within 3 months, you should assume that your application has not been successful.

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 Research Fellow will work closely with the Principal Investigator, Dr. WU Zhe, on several research projects of optimization of chemical and manufacturing processes through machine learning tools
• The Research Fellow will help to develop both theoretical and simulation study of machine-learning-based control and optimization algorithms to chemical processes.

Job Requirements

For Research Fellow Position:

• A PhD degree in a relevant area, e.g., Control Engineering, Chemical Engineering, Automation, Systems Engineering, Computer Science or Applied Mathematics;
• Good publication record;
• Experienced in advanced process control, machine learning, and programming languages (e.g., python, Matlab, C++, etc)

The Health, Safety and Environmental (HSE) Officer is responsible for identifying, assessing and advising on risks arising from the workplace or work processes, recommending measures to eliminate or minimise and control the risks and implementing the measures. He/She is also responsible for preventing or reducing health and environmental risks, and improving quality of processes.

Analytical and observant, he/she is required to identify risks and analytical to analyse risks. He/She is expected to supervise a quality, health, safety and environmental team and to work with internal and external stakeholders to accomplish his/her work.

Responsibilities:

1. The primary role is to serve our salespersons or clients at the customer service counter or reception counter.

2. Process documents, collect commission (cash, cheque or online payments), sale of merchandise, use POS system, and handle office equipment (nets/credit card machines, copier machines, and computer terminals at the free seating area).

3. Data entry using our in-house systems (REMSPlus2, Admin module, e-submission) and using external systems (IRAS, HDB, CEA).

4. Manage walk-ins, emails, and telephone enquiries.

5. Frank mail and deposit at SingPost.

6. Collect and distribute mail.

7. Open and close the office, meeting rooms and training rooms.

8. Perform any other ad-hoc duties as and when assigned.

Requirements:

1. GCE ‘O’ Level and above.

2. Preferably someone who has work experience in customer service duties.

3. Excellent phone etiquette and possess good communication skills.

4. Ability to multitask and handle high volume of customers efficiently.

5. Computer literate in Microsoft Office.

6. Preference will be given to candidates who are available immediately or within short notice.

7. Need to be able to commit from 2 December 2024 to 30 April 2025.

Other Information

· Working Location : Toa Payoh, (HDB Hub near Toa Payoh MRT Station)

· Five (5) day work week, Monday and Friday : 8.30am to 5.30pm or 9.00am to 6.00pm. (With 1 Hour Break)

Interested candidates are invited to submit a comprehensive resume, stating the current and expected salary, date of availability via APPLY NOW button.

We regret that only shortlisted applicants will be notified.

Benefits

1. Competitive Salary: Earn up to $3,000 basic per month plus variable bonuses and monthly incentives.
2. Work-Life: Flexible work schedule with office-in-lieu on public holidays and time-off for overtime.
3. Career Growth: Develop your skills with a fast-paced, dynamic team while gaining experience in customer service and operations.
4. Supportive Team Culture: Work in an inclusive, friendly, and collaborative environment where your contributions are valued.
5. Standby Perks: Receive a company phone for standby, with additional compensation (to be discussed during the interview).

Job Description

We are looking for a motivated and reliable Customer Service Officer to join our team! In this role, you will handle phone inquiries, manage data entries, and address customer complaints with the best solutions or alternatives. You will collaborate closely with the operations department to ensure smooth processes.

Roles & Responsibilities

• Handle phone inquiries and provide prompt and effective solutions.
• Perform data entries and maintain accurate records.
• Resolve customer complaints and provide alternative solutions when necessary.
• Work closely with the operations team to support service delivery.
• Take on other ad-hoc duties as assigned by the department.

Requirement

• Skills: Basic IT knowledge, good listening skills, and ability to work under pressure in a fast-paced environment.
• Personal Attributes: A good team player with strong interpersonal communication skills, meticulous attention to detail, and self-motivated.
• Work Schedule: Must be flexible to work shifts, on public holidays, and be willing to work overtime when required.

5) Additional Information

• Location: 88 Geylang Bahru, #01-2724, Singapore 339696.
• Salary: Up to $3,000 basic plus variable bonus and monthly incentives (company phone for standby).
• Working Hours: 8 am to 5 pm with varying schedules: Week 1 (6 working days), Week 2 (5 working days), Week 3 (6 working days), Week 4 (5 working days).
• Public Holiday: Work on public holidays will be compensated with office-in-lieu.
• Overtime: Overtime will be given time off.

We are seeking a highly motivated and dedicated team player to join our dynamic research team. Our lab focuses on advancing the field of RNA therapeutics, with a strong emphasis on translational research aimed at clinical applications, while also fostering foundational discoveries in the delivery of RNA therapeutics. Our core technology platforms include rational design of antisense oligonucleotides and the development of innovative in vitro and in vivo methods for real-time and high-throughput functional delivery of RNA therapeutics.

Key Responsibilities:

• Experimental Execution: Execute experiments to investigate the efficacy, safety, and mechanisms of RNA therapeutics in cellular and animal models. Utilize state-of-the-art techniques to achieve research goals.
• Data Analysis: Analyze experimental data, interpret results, and draw meaningful conclusions. Present findings at lab meetings, conferences, and in scientific publications.
• Collaboration: Collaborate closely with other lab members, including graduate students and faculty, to drive interdisciplinary research projects and contribute to a vibrant scientific community.
• Translational Focus: Engage in research activities that have direct implications for the clinical application of RNA therapeutics, actively participating in discussions related to translational strategies.

Qualifications:

• Degree in Science disciplines or equivalent.
• Mouse and colony management experiences are required.
• Background in RNA biology, nucleic acid therapeutics, or related areas is ideal.
• Proficiency in molecular biology techniques, cell culture, and animal models.
• Excellent communication skills, both written and oral, and the ability to work collaboratively in a team-oriented environment.

Job Description

We are looking for a highly-motivated research scientist to work on exciting projects in Cybersecurity (AI for Cybersecurity). Need Strong programming skills and familiarity with Cybersecurity and Artificial Intelligence.

Successful candidates will have the opportunity to work with a world-class interdisciplinary team comprising malware, networking, cybersecurity, machine learning, and deep learning experts. Research scientist will also work closely with industry partners and interact with them to understand their real-world needs. The successful candidate will also engage in project scoping with industry companies to develop a solution to address cybersecurity enterprise application needs.

We are looking for candidates with the following key soft attributes:

• Ability to learn
• Willingness to learn
• Strong interest in cybersecurity domain

Job Requirement

• PhD degree in Computer Science, Computer Engineering, Information Technology or related fields, Knowledge or experience in cyber security, network security, system security using Artificial Intelligence
• Knowledge or experience in cybersecurity, network security, or system security using AI
• 2-3 years of working experience in related research areas is a plus
• Publications in top-tier security venues (IEEE S&P, NDSS, USENIX Security, ACM CCS) are expected
• Proficient with DL programing frameworks in Python
• Strong interest in AI for Cybersecurity
• Ability to work independently, as well as in teams - highly desired
• Ability and willingness to learn and adapt - highly desired
• Good team player with both research and engineering ethics
• Good interpersonal skills and communication skills for proposals, reports, and publications

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

JOB DESCRIPTION

We are seeking to recruit a highly motivated Research Fellow to investigate the rules in cancer antigen discovery, towards therapeutic and preventive therapy. Project involves mass spectrometry, immunology and computation. The ideal candidate need not specialise in all three aspects, but should be technically strong in at least one of these areas.

JOB REQUIREMENT

• Ph.D. in Immunology or Cell Biology or Biochemistry or Mass Spectrometry.
• Expertise in T-cell engineering highly preferred.
• Interested in data and computation.
• Solid publication record and strong scientific writing skills.
• Strong motivation and energy to lead project.
• Good organisational, verbal and interpersonal skills.
• Need to be a team player.
• Keen to learn

Job Description

The Research Fellow in Computational Immunology/Bioinformatics will play a key role in advancing our research projects by conducting expert analyses of next-generation sequencing (NGS) data. This includes single-cell RNA sequencing, T-/B-cell receptor analysis, long-read sequencing, and spatial omics analysis using imaging data. The fellow will have the opportunity to work alongside a multidisciplinary team of leading immunologists, oncologists, and AI scientists, contributing to pioneering research that utilizes diverse data types, ranging from cell lines to clinical samples. The position will leverage the fellow’s bioinformatics expertise to innovate and contribute to the development of effective T-cell epitopes for cancer vaccine design.

Job Responsibilities

• Perform advanced single-cell analyses to identify distinct cell phenotypes and interactions, elucidating the transcriptomic landscape that drives tumor progression and/or responses to treatments.
• Develop robust bioinformatics pipelines for analysing TCR and in-situ tumor-immune spatial organization using long-read sequencing and high-plex immunofluorescence data, respectively.
• Work collaboratively with an interdisciplinary team of biologists, clinicians, and AI scientists to contextualize findings within complex disease landscapes.
• Manage data curation and ensure the integrity and accessibility of datasets.
• Maintain up-to-date knowledge of bioinformatics methodologies and stay informed about new technologies and computational tools.
• Communicate findings through scientific publications, presentations, and reports for both academic and non-academic audiences.

Job Requirement

• PhD in Immunology, Bioinformatics, Computational Biology, Systems Biology, or a related field.
• Minimum of 5 years of relevant experience in omics data analysis.
• Proficient in programming languages such as R and Python, with extensive use of bioinformatics tools and public databases.
• Demonstrated expertise in statistical data analysis and the application of machine learning.
• Skilled in using data visualization tools and software.
• Knowledge of cancer immunology and molecular biology principles.
• Proven publication record in peer-reviewed journals within the bioinformatics field or related areas.
• Exceptional problem-solving skills, capable of working independently and collaboratively.
• Excellent verbal and written communication skills.
• Advanced programming skills in R and Python.
• Experience with server-based and high-performance computing environments.
• Experience in computational tool development.
• Expertise in managing and analyzing large datasets from various omics platforms.
• Experience in computer vision or image processing.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description

The Research Fellow in Computational Immunology/Bioinformatics will play a key role in advancing our research projects by conducting expert analyses of next-generation sequencing (NGS) data. This includes single-cell RNA sequencing, T-/B-cell receptor analysis, long-read sequencing, and spatial omics analysis using imaging data. The fellow will have the opportunity to work alongside a multidisciplinary team of leading immunologists, oncologists, and AI scientists, contributing to pioneering research that utilizes diverse data types, ranging from cell lines to clinical samples. The position will leverage the fellow’s bioinformatics expertise to innovate and contribute to the development of effective T-cell epitopes for cancer vaccine design.

Job Responsibilities

• Perform advanced single-cell analyses to identify distinct cell phenotypes and interactions, elucidating the transcriptomic landscape that drives tumor progression and/or responses to treatments.
• Develop robust bioinformatics pipelines for analysing TCR and in-situ tumor-immune spatial organization using long-read sequencing and high-plex immunofluorescence data, respectively.
• Work collaboratively with an interdisciplinary team of biologists, clinicians, and AI scientists to contextualize findings within complex disease landscapes.
• Manage data curation and ensure the integrity and accessibility of datasets.
• Maintain up-to-date knowledge of bioinformatics methodologies and stay informed about new technologies and computational tools.
• Communicate findings through scientific publications, presentations, and reports for both academic and non-academic audiences.

Job Requirement

• PhD in Immunology, Bioinformatics, Computational Biology, Systems Biology, or a related field.
• Minimum of two years of relevant experience in omics data analysis.
• Proficient in programming languages such as R and Python, with extensive use of bioinformatics tools and public databases.
• Demonstrated expertise in statistical data analysis and the application of machine learning.
• Skilled in using data visualization tools and software.
• Knowledge of cancer immunology and molecular biology principles.
• Proven publication record in peer-reviewed journals within the bioinformatics field or related areas.
• Exceptional problem-solving skills, capable of working independently and collaboratively.
• Excellent verbal and written communication skills.
• Advanced programming skills in R and Python.
• Experience with server-based and high-performance computing environments.
• Experience in computational tool development.
• Expertise in managing and analyzing large datasets from various omics platforms.
• Experience in computer vision or image processing.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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 Tropical Marine Science Institute, National University of Singapore invites applications for the position of Research Fellow for the research project “Enhancing the ecological resilience of coral reefs in response to climate change stressors” (Eco-Res). The Eco-Res project aims to generate actionable strategies from microbial to ecosystem scales. This job call is specifically for Work Package 1 of the project (Ecological solutions for enhancing coral resilience).

Key responsibilities:

• Conduct short- to long-term controlled environment aquarium experiments to investigate effects of stress on coral physiology
• Carry out and refine coral culture protocols at the St. John’s Island National Marine Laboratory aquaria
• Lead dives to monitor corals and carry out field studies on Singapore’s reefs
• Oversee data collection, data analysis, and preparing research results for publication in peer-reviewed scientific journals
• Convey outcomes of research to the relevant stakeholders where necessary
• Monitor and ensure smooth execution of project plan
• Assist in various administrative and project management tasks

Requirements

• PhD in Marine Biology/Marine Science or related fields
• Expertise in marine organism culture
• Experience conducting both aquarium experiments and field research
• Experience in working with corals, coral biology and reef restoration is highly advantageous
• Expertise in statistical analyses and software (e.g. R, SPSS, Python)
• Proficiency in English, both spoken and written, that are essential for communication of findings in scientific and other media
• Proficiency in Microsoft skills e.g. Word, Excel, Powerpoint etc.
• Strong problem-solving skills and the ability to work in a fast-paced research environment
• Independent and self-motivated
• Good publication record
• Must be able to SCUBA dive, with PADI Rescue level (or equivalent) and above certification
• Must have Class 3 driving license (or equivalent)
• Good knowledge of coral reefs in Singapore and/or the Southeast Asian region
• Preferably with experience working/based at offshore marine research stations

TMSI is committed to an employee-orientated, high-performance culture that emphasizes empowerment, quality, and continuous improvement.

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 Tropical Marine Science Institute, National University of Singapore invites applications for the position of Research Assistant for the research project Marine Environment Sensing Network (MESN; see https://ombak.mesn.sg/).

The MESN project aims to establish operational marine monitoring capabilities for research and monitoring of climate change and other emerging threats to Singapore’s marine environment. MESN also aims to foster development of marine technologies and support marine science R&D efforts.

Key responsibilities:
• Maintaining the operations of a suite of environmental sensors on the MESN buoys
• Curate environmental data from the MESN buoys and other marine monitoring efforts
• Plan and conduct fieldwork to retrieve/deploy sensors and maintain the MESN buoys
• Assist in the curating of web content on the MESN data platform and website
• Work closely with multi-disciplinary team of scientists and engineers
• Perform relevant desk scientific research to a specific brief where required
• Assist with data collection, data analysis, and preparing research results for publication in peer-reviewed scientific journals
• Assist in various administrative duties as part of project management

Requirements

• Bachelor’s degree or higher (preferably with environmental science or engineering background)
• Familiar with water quality measurements and marine environment data
• Must be physically fit and able to work in the field and on boats
• Should be able to multitask and manage tight timelines
• Independent and self-motivated, and organised with attention to detail
• Proficiency in English, both spoken and written, that are essential for communication of findings in scientific and other media
• Team player able to work closely with a multidisciplinary project team including engineers and IT specialists
• Preferably able to SCUBA dive, with PADI Rescue level (or equivalent) and above certification
• Preferably familiar with Singapore’s marine environment

TMSI is committed to an employee-orientated, high-performance culture that emphasises empowerment, quality, and continuous improvement.

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 successful candidate will work with Assoc Prof Koh Ming Joo on photocatalysis under a project on "Next-generation Geminal-atoms Catalysis as a Disruptive Technology for the Sustainable Fine Chemical Manufacturing". The main responsibility of the position is to develop organic reactions using photocatalysis.

Qualifications / Discipline:

• The candidate shall have a Ph.D. degree in Chemistry.

Skills:

• The candidate shall have the necessary technical skills required to perform research in Chemistry.

Experience:

• The candidate shall have demonstrated experience in photocatalysis and organic synthesis, as evidenced by previous research stints and publications in top international journals.

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 Assoc/Prof Wu Jie under a project on photocatalysis.

The main responsibilities of the position include:

1. Perform high quality research under PI’s supervision.
2. Draft and publish high impact journals
3. Help PI to write research grant
4. Mentor junior research students

Qualifications / Discipline:

• Postdoc fellow candidate must hold (or be close to obtaining) an internationally recognized Ph.D. degree in organic chemistry, and should have proven track record of excellence in experimental research.

Skills:

• Organic synthesis

Experience:

• Strong track record on related research field

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 Assoc Prof Chi Chunyan on carbon nanobelts under a project on "Aromatic Hydrocarbon Belts".

The main responsibilities of the position include:

1. Design and synthesis of fully conjugated carbon nanobelts;
2. design and synthesis of zigzag-edge-rich carbon nanostructures;
3. studies of the physical properties of newly prepared target molecules.

Qualifications

• PhD in Chemistry, Organic Chemistry or Materials Science

Skills:

• Organic synthesis, materials characterization

Experience:

• Organic synthesis

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

• To assist in the data entry of MSc application processing
• To assist in the checking of any potential fraudulent cases pertaining MSc applications
• To assist in other MSc graduate student administrative duties

Qualifications

• GCE ‘O’ Level or equivalent or higher.
• 3 to 5 years of related working experience preferred.

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 looking for a Scientific Partnership and Alliance Manager. The role would be to support the Institute for Functional Intelligent Materials (I-FIM) in new scientific initiatives with new or existing partners leading to answering grant calls, initiating new scientific consortiums and subsequent management of new scientific alliances.

The job scope will cover the following aspects:

Solicitation, networking and events

• Support the Director in reaching out to partners soliciting interest in partnerships
• Organise networking symposiums and discussion platforms
• Communicate with partners and align with partnership goals
• Match and track partnerships that lead to concrete projects

White paper

• Prepare white papers to launch new initiatives reaching out to partners soliciting interest in partnerships
• Discuss with research partners on contribution, requirements, deliverables and goals

Grantsmanship support, proposal crafting and post-award management

• Support Directors, PIs, and partners with proposal writing and collate preliminary data
• Work on references, editorial and proof reading
• Compile proposals with inputs on budget and CVs (working in partnership with I-FIM's research administrator)

Liaison with funding agencies and NUS Office of Deputy President for Research and Technology (ODPRT)

• Lead discussions with various funding agencies (Singapore and overseas) in securing funding for agreed research initiatives
• Collaborate with NUS and partners in setting up management framework of such research enterprise space
• Lead discussions on establishment of enterprise, space, budgetary matters, scope of research, deliverables and tracking

Management of partnerships that will involve agreements and resource planning

• Support Directors and PIs on agreements and documentation with partners (in collaboration with Admin Director)
• Work on resource planning and pledging on such agreements
• Work with NUS business office and legal counsels in crafting agreements
• Administer implementation of such agreements including reporting, invoicing, payments and cost recovery (where applicable)

Budget management and payment

• Oversee and regularly update equipment and maintenance budget and yearly procurement schedule to ensure timely utilization of allocated funds in every Financial Year of all external grant funding
• Ensure suppliers comply with terms and conditions and stick to committed delivery timelines. Engage with NUS procurement and legal teams on penalizing suppliers for extended delay in delivery.
• Perform grant virement as and when required

Project management

• Track performance of partnerships
• Write reports
• Joint conferences and symposiums
• Spring board to upscale enterprise and/or scope of alliances

Job Requirements

• PhD degree in Materials Science, Engineering or their equivalent from a reputable university
• Have at least 5 years of working experience in research administration and management
• Experience with grant writing and agreements
• Excellent command of English and communication skills
• Strong people 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

Tropical Marine Science Institute (TMSI) of National University of Singapore (NUS) has an immediate vacancy in the area of regional sea level variability in the warming climate.

The ongoing Project “Understanding the low-frequency variability of coastal sea level in Southeast Asia using a regional ocean model and observations” has been funded by National Research Foundation until 31 July 2025. The successful candidate will be working with a multidisciplinary team of atmosphere and ocean scientists, and particularly be responsible for:

-running NEMO ocean model using past and projected forces provided by the atmospheric team;

-use data analysis and model simulations experiments to understand the mechanism of regional sea level variability driven by large scale atmosphere/oceanic processes.

Depending on qualifications and experience, successful Candidate could be employed at Research Fellow or Senior Research Fellow level.

Qualifications

Successful candidate will be having the following demonstrated knowledge, skills and experience:

• Understanding of regional sea level variability and large-scale atmosphere/ocean coupling;
• Understanding of mechanisms of ocean response to the climate change;
• Capability to set and run regional sensitivity experiments using NEMO ocean model;
• Capability to use data analysis methods for ocean dynamics research;
• Ability to work in multidisciplinary team of researchers, including ocean and atmosphere scientists;
• PhD in ocean sciences from a recognised University
• Track records in publications.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor Eric Chan on Project Theme 5: Safety, Risk and Nutritional Assessment of alternative protein ingredients under a project on Development of non-animal New Approach Methodologies (NAMs) to innovate Next Generation Risk Assessment (NGRA) based on physiologically based toxicokinetic-toxicodynamic (PBTK-TD) modelling and simulation.

The main responsibilities of the position include:

• Conduct research and development of non-animal in vitro and in silico New Approach Methodologies (NAMs) for Next Generation Risk Assessment (NGRA).
• Lead the design and execution of physiologically based toxicokinetic-toxicodynamic (PBTK-TD) modeling and simulation studies.
• Analyze, interpret, and validate experimental data to develop models predicting toxicokinetic and toxicodynamic behaviors of xenobiotics (food and drug).
• Collaborate with cross-functional teams (e.g., pharmacologists, toxicologists, biostatisticians, regulators) to integrate models with in vitro, in silico and in vivo data.
• Contribute to the preparation of research grant proposals, scientific manuscripts, technical reports, and presentations for both academic and industrial stakeholders.
• Present research outcomes at internal meetings, local, regional and international conferences, and in peer-reviewed journals.
• Stay updated on regulatory frameworks and advancements in NAMs and NGRA.

Qualifications

Qualifications / Discipline:

• PhD in Pharmacy, Physiology, Pharmacology, Toxicology, or related field with a focus on modeling and simulation.
• Strong knowledge of toxicokinetics and toxicodynamics, with expertise in PBTK-TD models.
• Background in systems biology, computational biology, or similar areas relevant to modeling complex biological systems.
• Experience with in vitro and in silico techniques, especially in the context of non-animal risk assessment.

Skills:

• Proficiency in modeling software (e.g., Simcyp, GastroPlus, MATLAB, or similar tools for PBTK-TD simulation).
• Strong analytical and quantitative skills for data interpretation and validation.
• Excellent verbal and written communication skills for technical reporting and collaborative research.
• Ability to work in a multidisciplinary team and manage multiple research activities.
• Problem-solving skills to address challenges in modeling and data integration.

Experience:

• Prior experience in developing and validating PBTK or other physiology-based models in academia or industry.
• Demonstrated experience in Next Generation Risk Assessment and/or non-animal in vitro and in silico methodologies is preferred.
• Proven track record of publications in relevant fields (modeling, toxicokinetics, risk assessment).
• Experience working on collaborative research projects involving multiple stakeholders (academic, industry, or regulatory).

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to advance an industry-focused research project by developing and optimizing an LLM-based chatbot specifically designed for the hotel industry, delivering innovative solutions for guest interaction and data handling to meet industry standards and drive the organization’s technological edge.

Key Responsibilities:

1. LLM Chatbot Development and Optimization

• Design, develop, and maintain an advanced LLM-based chatbot utilizing a multi-agent approach, specifically tailored to the unique needs of the hotel industry.
• Implement solutions for effective data handling, conversation history tracking, and response adaptation to enhance the chatbot’s relevance, accuracy, and safety in real-time interactions.

2. Technical Support and Integration Assistance

• Provide hands-on technical support to collaborating partners, ensuring seamless integration of the chatbot into existing hotel systems.
• Respond to partner feedback by troubleshooting and implementing updates to continually improve chatbot functionality and user experience.

3. Collaboration on Innovative Research and Development

• Work closely with students on LLM-related projects, focusing on the design of novel chatbot solutions that prioritize data security and sensitive information handling within the hotel industry.
• Contribute to developing new methodologies that enhance chatbot capabilities while addressing industry challenges in privacy and data protection.

4. Project Coordination and Reporting

• Work under the guidance of the Principal Investigator (PI) to ensure project milestones are met, maintaining clear and regular communication on progress, challenges, and future needs.
• Document development processes, maintain records of project achievements, and prepare reports as needed to support project goals and stakeholder updates.

Job Requirements:

1. Education and Knowledge

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Strong knowledge experience with Large Language Models (LLMs), preferably applied in a business or industry context.
• Familiarity with multi-agent systems, chatbot frameworks, and machine learning techniques.
• Demonstrated experience in collaborative research or development projects.

2. Technical Skills

• Proficiency in programming languages such as Python, and experience with LLM-related libraries and tools (e.g., Hugging Face, PyTorch, TensorFlow).
• Experience with chatbot development, deployment, and optimization, including integration with partner systems.
• Knowledge of conversational AI best practices, including techniques for maintaining conversation history, data handling, and adaptive response mechanisms.

3. Personal Qualities

• A passion for innovation and a strong desire to create and refine new technologies, particularly in AI-driven solutions for real-world applications.
• Ability to think creatively and proactively solve complex problems while maintaining a high attention to detail.

Key Competencies:

1. Innovative Thinking and Problem Solving

• Ability to approach complex challenges with creative solutions, particularly in applying LLM technology to new and specialized industry applications.

2. Collaboration and Communication

• Strong interpersonal and communication skills to effectively collaborate with technical and non-technical stakeholders, including partners, students, and team members.
• Capability to translate technical concepts for diverse audiences and incorporate feedback into ongoing development.

3. Technical Proficiency

• Skilled in deploying, fine-tuning, and troubleshooting chatbot systems, with a focus on ensuring functionality, accuracy, and user satisfaction.
• Ability to adapt and scale solutions to address evolving requirements and maintain best practices in data handling and security.

4. Adaptability and Continuous Learning

• Openness to learning new tools and technologies in the rapidly evolving field of LLMs and AI.
• Ability to stay updated on industry trends and integrate relevant advancements into project work.

5. Passion for Innovation

• Strong enthusiasm for creating new, impactful solutions and contributing to advancements in conversational AI for the hotel industry.

Major Challenges:

1. Balancing Innovation with Practicality

• Designing a cutting-edge LLM chatbot that meets high industry standards for innovation, while ensuring that it remains functional, efficient, and practical for real-world use in the hotel industry.

2. Data Privacy and Security

• Ensuring compliance with strict data privacy regulations and implementing robust security measures to protect sensitive customer information, especially given the hospitality sector’s unique data handling needs.

3. Technical Integration with Partner Systems

• Addressing compatibility and integration challenges when embedding the chatbot into diverse hotel management systems and workflows, requiring close coordination and technical support.

4. Adapting to Evolving Industry Needs

• Continuously refining the chatbot to align with changing requirements, including adapting to feedback from partners and staying responsive to emerging trends and user expectations in the hospitality industry.

5. Maintaining High-Quality User Interaction

• Balancing response accuracy and relevance while preserving a conversational, user-friendly experience, which is especially challenging in complex, multi-turn conversations.

6. Resource and Time Constraints

• Achieving project milestones within the one-year contract period, while managing the technical complexities and scope of multi-agent LLM development under limited resources.

PRINCIPAL RESPONSIBILITIES

Calendar & Scheduling

• Provide secretarial support to the Director, Clinical Research Unit (CRU)
• Manage appointment scheduling of the Director’s Calendar
• Process claims and payments as necessary
• Provide clerical support
• Assist with travel arrangements for the Director and other team members on CRU work-related trips

Administrative Support

1.Mails

1. Collect, sort and distribute in-coming mails, faxes and circulars
2. Despatch out-going mails e.g. pamphlets, notices, letters, circulars and publications to polyclinics / doctors through mail room
3. Fax, file, photocopy, franking letters and retrieve department records and essential correspondences

2. Meeting Arrangements

1. Co-ordinate CRU departmental meetings including dates of meetings, booking of meeting rooms, gathering of agenda and timely dissemination of minutes to team of CRU, and other meeting attendees where necessary
2. Arrange other ad-hoc meetings and refreshment when required.
3. Schedule meetings for the department and send reminders to parties concern.
4. Preparation of rooms and other logistics (eg. attendances, printing of handouts when necessary) for meetings and events
5. Writes minutes for meetings upon request

3. Data collation

1. Collate and maintain statistics upon request
2. Submit collated training events’ attendances to NHGP HRD after training events when necessary

4. Research-related Administration

1. Provide administrative or logistic support to Manager and CRU team upon request
2. Provide grant administration support as necessary
3. Assist the Director, CRU to prepare presentation slides upon request
4. Assist Manager, CRU to organise research-related events such as Journal Clubs, Research Didactics and Forums
5. Assist Manager, CRU to organize and coordinate training courses and seminars in research and medical ethics
6. Assist Manager, CRU to provide secretariat support to various research initiatives e.g. NHGP Research Attachment, CRU Research Assistance applications
7. Track research outcome
8. Assist in maintaining research training records
9. Coordinate and collate for research-related course registration for doctors
10. Renewal of research-related E-journals

5. Other administrative matters

1. Tracking of leave (eg. Annual Leave, Medical Leave) & maintain staff movement chart where necessary
2. Raise IT Job Request when necessary
3. Purchase stationery items for departmental use and maintain tidiness of stationery storage
4. Raise Purchase Requisition and e-Payment and other modes of payment when necessary
5. Maintain and back-up a good filing system in the department and shared drive, including maintenance of CRU assets and IT equipment used in the department

Senior position

In addition to the primary and secondary responsibilities, the Senior Executive Assistant is expected to assume leading roles in these duties, e.g. lead in the coordination of events, as well as to train and mentor junior Executive Assistants where necessary.

SECONDARY RESPONSIBILITIES

• Assist in the maintenance of the department’s generic email account
• Assist in the maintenance of the department’s webpage on the intranet
• Perform any other duties as assigned by supervisors and/ or Director, CRU