COMPANY DESCRIPTION

About BW Group

BW Group is a leading global maritime company involved in shipping, floating infrastructure, deepwater oil & gas production, and new sustainable technologies. Founded in 1955 by Sir YK Pao, BW controls a fleet of over 490 vessels transporting oil, gas and dry commodities, with its 200 LNG and LPG ships constituting the largest gas fleet in the world. In the renewables space, the group has investments in solar, wind, batteries, biofuels and water treatment. BW is proud to be listed as one of Forbes World's Best Employers 2023.

Are you ready to make an impact?

What drives us is our mission to deliver energy for the world today, and to find solutions for tomorrow. If you want to make lives better around the world by providing access to energy, while working on sustainability and decarbonisation, we'd like to hear from you. Working at BW you will feel the pulse of the world each day. If something happens in the world, we feel it, and you can play your part by anticipating and responding to it. Our high-performing teams are drawn to BW by the global nature of our work and the satisfaction of working with collaborative people who inspire each other to deliver exceptional results.

RESPONSIBILITIES

The Asset Management team is responsible for BW Group vessels management activities such as investment/divestment of vessels, identify business opportunities, generate returns through asset play, long term projects and/or forward paper markets as well as supporting other business units in their sales and purchase activities.

A successful candidate would ideally be able to work under time pressure, attention to detail for reviewing and negotiating contracts and good business acumen.

Responsibilities:

• Monitor and analyse market trends to identify investment / divestment opportunities
• Support the evaluation of investment/divestment decisions through quantitative and qualitative analysis as part of the proposal process
• In collaboration with the Strategy & Corporate Development, support the analysis and identification of new opportunities within the shipping sector
• Support the compilation of Board papers and/or proposals for Board recommendations
• Participate in the negotiations for ship Sale & Purchase and Newbuilding contracts
• Liaise, network and build relationships with business counterparties, charterers and shipbrokers to gather relevant market intelligence and generate deal flow
• Administration of existing contracts/agreements
• Maintain and update databases (S&P and MDM)
• Assist and responsible for sending out routine reports
• Monitor and update FFA positions as and when required.
• Participate in ad-hoc projects as required
• Actively participate in the development of the quality management system and engage in the workflow process for the continuous improvement of departmental procedures
• Process timely and accurate invoices through IMOS for BW Dry Cargo
• Liaise with external parties on operational and technical matters on BW Dry Cargo fleet
• Actively participate and engage in the process for the continuous improvement of BW Asset Management procedures and processes, including keeping alignment between practice and documentation in QMS

• Bachelor (BA, Finance, Economics, Legal or Shipping/Maritime)
• Preferably 1-3 years maritime experience
• Entry level candidates with relevant internship/training experience may be considered
• Quantitative skills, financial modelling
• Review and negotiate contracts/agreements
• Ability to synthesize and present information to support decision making
• Ability to work in a precise and accurate manner while under time pressure
• Good collaboration and team player
• Well versed with Microsoft Office products (i.e Excel and PowerPoint)

At BW, we offer challenging work in an international environment with a team of dedicated and competent colleagues. We recognise that the success of BW rests with each employee's ability to provide the necessary skills and confidence within the team, and our training is tailored to suit individual needs and career aspirations.

Vision: Best on Water

Mission: We deliver energy for the world today, and find solutions for tomorrow

Values

• Collaborative
• Ambitious
• Reliable
• Enduring

If our values resonate with you and you think you can contribute, we would be delighted to hear from you!

Don't meet every single requirement? At BW, we value diversity and the unique experiences that people from different backgrounds bring to our business. We welcome you to apply for the role even if you don't fully meet all the listed requirements, especially if you are passionate about building an inclusive culture where we strive to be our best. You may be just the right candidate!

Information for Recruitment Agencies:

BW endeavours to recruit and fill vacancies directly. However, when we do need to engage with agencies, BW operates a preferred supplier list (PSL) and will not be accepting unsolicited applications from non-PSL agencies for this role.

Benefits:

• Competitive salary up to $3,500 basic + variable bonus + weekend allowance (discussed in interview)
• Convenient location at Clementi 435 Clementi Rd
• Work-life balance with 5-day work week, including 1 weekday and 1 weekend off
• Career growth through hands-on team leadership and professional development opportunities
• Dynamic environment in retail with direct customer interaction and marketing involvement

Job Description:

The Retail Assistant Manager will support the Store Manager in overseeing store operations, team leadership, and customer service excellence. This role involves managing inventory, assisting in budget planning, and ensuring visual merchandising standards, all while delivering exceptional customer service and driving sales growth.

Roles & Responsibilities:

Operational Duties:

• Support day-to-day store operations, including opening/closing, cash handling, and security protocols
• Ensure team compliance with company policies and procedures

Customer Service:

• Provide exceptional customer service
• Handle and resolve customer complaints to maintain satisfaction

Sales & Revenue Generation:

• Collaborate on sales strategies and monitor sales performance with the Store Manager
• Assist in budget planning and monitor expenses to maintain profitability

Inventory Management:

• Oversee inventory levels, product ordering, and stock management
• Analyze sales and product movement data to optimize inventory levels and assortment

Team Leadership & Staff Development:

• Supervise and lead staff, including hiring, training, scheduling, and performance management
• Create a positive work environment and support team development through training and coaching

Visual Merchandising:

• Maintain an attractive and organized store layout aligned with brand image
• Implement and regularly update visual merchandising standards

Marketing & Promotions:

• Collaborate with the marketing team to execute promotions and events to drive footfall and increase sales

Requirements:

• Diploma in Retail Management, Business Administration, or related field
• 2-4 years of experience in retail management, preferably in the FMCG industry
• Strong leadership, communication, and problem-solving skills
• Ability to manage customer complaints effectively and make informed decisions
• Physically fit to perform standing and other physical tasks
• Flexible to work shifts, including evenings, weekends, and holidays

Additional Information:

• Salary: Up to $3,500 basic + variable bonus + weekend allowance
• Location: Clementi (435 Clementi Rd, Singapore 599873)
• Working Days: 5 days per week (1 weekday and 1 weekend off)
• Working Hours: 44 hours per weekWeekdays: 8am to 6pm or 9am to 7pm (Rostered)
  Weekends: 8am to 5pm or 9am to 6pm (Rostered)
  

Benefits

1. Attractive Salary Package: Earn up to $3,500 basic salary plus variable bonus and AWS (Annual Wage Supplement).
2. Work-Life: 5.5-day work week with a half-day on Saturdays, ensuring work-life integration.
3. Location: Based in Novena, with accessible public transportation and amenities nearby.
4. Dynamic Environment: Join a supportive and professional healthcare team, with opportunities for personal and career growth.
5. Comprehensive Support: Benefit from an engaging work culture that values continuous learning and skill development.

Job Description

We are looking for a Clinic Assistant to deliver exceptional service and support our clinic operations in Novena. The role involves front desk duties, patient registration, handling calls, processing payments, and assisting with clinical tasks.

Roles & Responsibilities

• Frontline Service: Deliver excellent customer service, managing patient inquiries and registrations.
• Appointment Coordination: Schedule appointments and manage patient registration efficiently.
• Communication: Handle phone calls and address patient inquiries in a professional manner.
• Insurance & Payments: Process medical insurance claims, issue tax invoices, and manage payment collections.
• Administrative Support: Perform administrative duties, assist with simple clinical procedures, and complete ad-hoc tasks as assigned.
• Efficiency: Assist in clinic operations to ensure a smooth and organized workflow.

Requirements

• Experience: Minimum of 2 years in a clinical setting, preferably in a healthcare organization.
• Skills: Proficient in medical insurance processing and tech-savvy.
• Language: Able to converse fluently in English and Mandarin to communicate with patients.
• Attributes: A team player who can work independently, with strong interpersonal, communication, and problem-solving skills.
• Work Ethic: Must be organized, able to multitask, and have a positive attitude with a willingness to learn.

Additional Information

1. Salary: Up to $3,500 basic, plus variable bonus and AWS.
2. Work Schedule: 5.5-day work week (Monday to Friday: full day; Saturday: half day). Working hours are based on clinic opening and closing times.

Location: Changi

1. Conduct daily HSE inspections

2. Verify compliance with WSH Act, CAAS, and CAG requirements

3. Ensure approved permits are in place

4. Maintain site safety, cleanliness, and tidiness

5. Report critical issues to Superintending Officer

6. Verify contractor's daily work declaration

7. Respond to site incidents and emergencies

8. Provide standing supervision for critical works

9. Report incidents to Superintending Officer and CAG Duty Manager

10. Submit daily inspection reports to CAG Project Team

Key Skills:

1. HSE expertise

2. Inspection and auditing

3. Communication and reporting

4. Emergency response and crisis management

5. Leadership and supervision

Qualifications & Experience

• Minimum 5 years of relevant experience in the construction industry preferably 3 years with developer/main contractor.

• Minimum 2 years of experience in tunneling and/or deep excavation works.

• Must be a registered Workplace Safety and Health Officer with MOM.

• Has obtained certificate in development of a Risk Management Implementation Plan (bizSAFE Level 2) or equivalent.

• Has obtained certificate in DfS appreciation course.

• Must be willing to work shifts

Job Summary:

• Industry: Healthcare
• Working location: Novena
• Employment type: Permanent, full-time
• Working schedule: Monday-Thursday (8.30 am to 6 pm), Friday (8.30 am to 5.30 pm)

Job Responsibilities:

• Oversees the admin and support functions of Nursing Services
• Plan, organises and facilitates nursing training programmes and maintains staff database records
• Arranges nursing forums, meetings and other activities, including records of minutes of meeting
• Prepare refreshments, logistic requirements, course materials and required training tools
• Collate course nomination and registration for ad-hoc and external courses
• Monitors utilisation of training places for nursing training programmes and attendances
• Collates post-course evaluation results and prepares summary reports for Nurse Educators.
• Oversees the booking, cleanliness and assets of Skill Laboratory. Maintain inventory and checks equipment function.
• Collates and enters continuing Nursing Education points for nurses in SNB websites.
• Any other duties assigned by the Nursing Education Team.

Job Requirements:

• Diploma holders, preferably with a minimum of 1 year of similar experience
• Proficient in MS Office (Word, Excel and PowerPoint)
• Meticulous, good in follow-up and coordination skills

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret that only short-listed candidates will be notified.

Registration No: R24123448 / EA Licence No: 12C6253

able to do vegetarian cooking, good cooking skill,

cut and prepare vegetables & vegetarian ingredients.

able to have long standing hours, good hygiene, good interpersonal skills, be a good team player.

able to multi task & adaptability

menu development (optional)

able to work in fast pace environment.

Handling of meat or alcohol not required so Muslims are welcome to apply too.

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 an industry innovation research project where you will be part of the research team to develop a flexible array ultrasound imaging system for velocity estimation.

Key Responsibilities:

• Participate in and manage the research project with Principal Investigator (PI), Collaborator and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  i. To develop simulation models for flexible array ultrasound system
  ii. To develop custom phantoms for experimental studies
  iii. To design and develop non-linear signal processing algorithms including deep learning algorithms for image reconstruction
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements:

• Have relevant competence in the areas of digital electronics, signal processing, machine learning and deep learning.
• Have a B-Engg or B. Tech degree in Electronics, Computer or Biomedical Engineering with undergraduate projects related to the relevant competence mentioned.
• Knowledge of biomedical signal processing will be advantageous.
• Should have proficiency in Matlab or Python.
• Prior experience in publishing is desirable.

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 technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work

Major Challenges

• Integration of flexible arrays with research ultrasound platform
• Design and development of deep learning-based flexible array adaptive image reconstruction pipeline

Job Description:

• Responsible for developing and optimizing ion-implantation and rapid thermal anneal (RTA) processes to support IME's various program requirements.
• Responsibilities include diagnosing malfunctions and using test equipment or software to test faulty hardware parts, applying knowledge of the functional operation of the Ion implanter and RTA equipment.
• Collaborates closely with vendors to optimize equipment performance and reduce tool downtime.
• Setup and execute design of experiments (DOEs) at various dose, energy, tilt, and twist levels, and evaluate experimental data to meet required process specifications.
• Responsible for analyzing test data related to implant-related defect formation, and quantifying and minimizing defects.
• Champion process window characterization and evaluation to drive quality and yield improvement.
• Closely collaborate with process integration teams to implement technology roadmaps, define process capability requirements, and address structural implications and constraints related to ion-implantation and RTA processes.
• Work with fab team in establishing statistical process control for ion-implantation and RTA processes.
• Generate and present reports to both internal and external customers.

Requirements:

• Bachelors/Masters in Materials Science and Engineering, Physics, Electrical Engineering, or closely related fields are welcome to apply.
• 3 years direct industry experience in ion-implantation, RTA and SiC MOSFET fabrication is preferred.
• Extensive proficiency in medium and high energy/current ion implantation, and RTA processes, including a comprehensive knowledge of equipment, equipment parts, and troubleshooting techniques to minimize equipment downtime.
• Good understanding of wide bandgap semiconductor materials and their corresponding dopant species.
• Expertise in ion channeling, ion bombardment, and their impact on the implant species profile.
• In-depth comprehension of defect formation and annihilation processes in the implanted region of semiconductors.
• Familiarity with essential device properties resulting from ion implantation and RTA processes.
• Understanding of the hardware of ion-implantation and RTA systems is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, Ellipsometry is advantageous.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

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.

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.

Job Description:

• Responsible for developing and optimizing ion-implantation and rapid thermal anneal (RTA) processes to support IME's various program requirements.
• Responsibilities include diagnosing malfunctions and using test equipment or software to test faulty hardware parts, applying knowledge of the functional operation of the Ion implanter and RTA equipment.
• Collaborates closely with vendors to optimize equipment performance and reduce tool downtime.
• Setup and execute design of experiments (DOEs) at various dose, energy, tilt, and twist levels, and evaluate experimental data to meet required process specifications.
• Responsible for analyzing test data related to implant-related defect formation, and quantifying and minimizing defects.
• Champion process window characterization and evaluation to drive quality and yield improvement.
• Closely collaborate with process integration teams to implement technology roadmaps, define process capability requirements, and address structural implications and constraints related to ion-implantation and RTA processes.
• Work with fab team in establishing statistical process control for ion-implantation and RTA processes.
• Generate and present reports to both internal and external customers.

Requirements:

• Bachelors/Masters in Materials Science and Engineering, Physics, Electrical Engineering, or closely related fields are welcome to apply.
• 3 years direct industry experience in ion-implantation, RTA and SiC MOSFET fabrication is preferred.
• Extensive proficiency in medium and high energy/current ion implantation, and RTA processes, including a comprehensive knowledge of equipment, equipment parts, and troubleshooting techniques to minimize equipment downtime.
• Good understanding of wide bandgap semiconductor materials and their corresponding dopant species.
• Expertise in ion channeling, ion bombardment, and their impact on the implant species profile.
• In-depth comprehension of defect formation and annihilation processes in the implanted region of semiconductors.
• Familiarity with essential device properties resulting from ion implantation and RTA processes.
• Understanding of the hardware of ion-implantation and RTA systems is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, Ellipsometry is advantageous.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

Qualifications

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

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.

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.

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 an industry innovation research project where you will be part of the research team to optimize the spray drying processes for collagen and gelatine powder production, ensuring high-quality and consistent output.

Key Responsibilities

• Manage research project with Principal Investigator (PI), Co-PI and team members to ensure all project deliverables are met
• Participate in brainstorming and ideation, conduct research and experiments, create functional models, and maintain documentation of design development
• Develop system from embodiment of concept to detailed design of parts and assemblies, including selection of standard components, through application studies, analyses and calculations
• Organise procurement of required electrical and mechanical components as well as commercial devices
• Guide students to carry out assembly of submodules, integration of system and testing of machines
• Coordinate maintenance of associated equipment with POD technical officers when required
• Perform risk assessment, and ensure compliance with workplace safety and health regulations

Job Requirements

• Bachelor's degree or higher in mechanical engineering, or related field.
• Professional-level competency in mechanical system and part design
• Strong prototyping skills
• Proficiency in CAD software, such as SolidWorks or Creo Parametric
• Mechanical engineering degree
• Minimum design experience of 5 years

Key Competencies

• Show strong initiative and take ownership of work.
• Demonstrates expertise in experimental design and execution, with good analytical thinking and problem-solving skills.
• Able to build and maintain strong working relationships with people within and external to the university.
• Good communication and interpersonal 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 Assistants to join our projects in the Department of Diagnostic Radiology, Yong Loo Lin School of Medicine. Our projects are primarily focused on exploring the role of neuroimaging in the clinic, facilitated by quantitative analysis including machine learning, with a focus on neurodegenerative diseases (e.g. Alzheimer's and Parkinson's disease), with a small focus on brain tumor imaging. The title of the current major project is <Development of a data-driven imaging biomarker for Alzheimer's disease>. The main objective of our ongoing research is to develop and validate data-driven imaging biomarkers to predict the prognosis of Alzheimer's disease dementia in elderly individuals by harmonizing established Alzheimer's disease research datasets and retrospective local institutional datasets.

The primary responsibilities of the Research Assistant will revolve around data management and administrative tasks, as described below:

Key Responsibilities

Database management and basic analysis:

- Download and integrate imaging and other non-imaging data into our research database.

- Perform basic neuroimaging processing and analysis using our existing R / Python pipeline. The role could extend to pipeline customization if the RA shows an interest and aptitude for image analysis work.

- The role could extend to basic statistical analysis and machine learning tasks using pre-built code, under the guidance of the PI and AI expert research staff, if the RA shows interest and aptitude for the above tasks.

Administrative tasks:

- Assist with ethical application processes for access to public datasets such as UK Biobank, ADNI, etc. and ensure compliance with institutional/university IRB procedures.

- Provide general administrative and secretarial support to the project, such as coordinating meetings, procurement, etc.

Assist in the preparation of scientific documents:

- Conduct literature searches, assist in the preparation of manuscripts, grant proposals/reports, and other scientific documents under the direct supervision of the PI.

Qualifications

Interested candidates should: (a) Have an undergraduate degree with good grades or a Master's degree in life sciences, engineering, or related fields; preferably, but not required, with some experience in dry lab or imaging research (b) Have basic programming skills in R and Python (ability to use code written by others under guidance) (c) Have fluent oral & written communication skill (d) Demonstrate the ability to work independently and as part of a team, and show investigative tendencies and attention to detail.

Compensation will be commensurate with the candidate's qualifications and experience. Only shortlisted candidates will be contacted.

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 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

This role offers an exciting opportunity to drive growth within a dynamic subscription business. As Assistant Manager, Lifecycle Marketing, you will lead the development and execution of impactful lifecycle marketing campaigns that focus on subscriber acquisition, engagement, retention, and revenue growth. We’re looking for a motivated professional with experience in lifecycle marketing, passionate about enhancing customer experiences and fostering sustainable business growth.

Responsibilities

• Develop and implement comprehensive lifecycle marketing strategies focusing on acquisition, engagement, retention, and reactivation to maximize subscriber value.

• Utilize data-driven insights and conduct A/B testing to improve campaign performance, identify enhancement opportunities, and make strategic adjustments to foster growth.

• Proactively identify and implement initiatives that enhance the customer journey, contributing to business growth through innovative marketing strategies.

• Foster strong communication and collaboration with product, sales, customer success, and other departments to ensure a unified approach to customer lifecycle management.

• Stay informed on the latest industry trends and best practices, bringing innovative ideas to the team to drive effective lifecycle marketing.

Requirements

• Strong ability to leverage customer data and analytics to make data-informed decisions, optimize campaigns, and drive growth through A/B testing and other techniques.

• Understanding of customer journey mapping, with an ability to identify improvement areas and create engaging experiences.

• A growth mindset with enthusiasm for continuous improvement and a proactive approach to identifying impactful marketing initiatives.

• Excellent communication skills and a collaborative spirit, with the ability to work well in a team environment and build rapport across various organizational levels.

• Familiarity with social media platforms, Google Analytics, or other analytical tools is beneficial.

• Bachelor’s degree or Diploma in Marketing, Business, or a related field. 3-5 years of relevant experience in the media industry is advantageous.

• Ability to support Chinese content and clients, with fluency in Chinese required.

• Strong organizational capabilities and the ability to work independently with a proactive problem-solving mindset.

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.

Contract Period: From 3 Jan 2025 to 31 Dec 2026. Personnel to be deployed at the following hours:

• Mondays to Fridays from 7.30 am to 2.30 pm, inclusive of 1/2 hr lunch break.

• Service not required on Saturdays, Sundays and gazetted public holidays.

• Service not required during Mar, June, Sep and Nov/Dec school holidays unless specified by HOD Science.

Scope of Works:

In the Area of Teaching and Learning

1. To prepare and get ready resources for Science teaching and learning
2. To assist Science teachers in the setting up of experiments, etc. for Science lessons and/or activities and clearing of resources after each Science lesson and/or activity.
3. To assist in the setting up of ICT and Science equipment such as projector, iPads, dataloggers, and microscopes for Science lessons and/or activities
4. To perform yearly inventory and stock taking of Science resources and equipment in the 2 Science Laboratories and TinkerSpace.
5. To organise the Science resources and equipment in the 2 Science Laboratories and TinkerSpace.
6. To maintain cleanliness and assist in ensuring safety in the 2 Science Laboratories and TinkerSpace at all times.
7. To assist in conducting simple Science enrichment activities such as showcasing the life cycles of some animals and creative toys during designated recesses / Science school-based events to complement Science learning in the classroom.

Science Projects

1. To assist in the loan and yearly inventory and stock taking of resources in various Science Programmes e.g.TinkerSpace Programme, Science Sparkles, E2K-Ignite Programmes, etc.
2. To assist the department in monitoring the Aquaponics System including feeding the fishes and harvesting the produce.
3. To assist the department in the feeding and maintainance of the Mealworm Beetles, Stick Insects Enclosure, etc.
4. Must be able to comfortably handle ‘live’ specimens e.g. mealworm beetles Others To do any other duties as assigned by HOD Science.

Store Assistant duties and responsibilities

Our company is seeking an enthusiastic Store Assistant to work in our store. Duties include helping our customers identify and purchase items, restocking the retail space, and creating appealing merchandize displays. The ideal candidate will have a desire to provide excellent customer service and increase sales. Store Assistants ensure that retail operations are carried out effectively and efficiently for maximum customer satisfaction. Their day-to-day duties include:

· Assists in achieving store recruiting goals

· Run Cash Register

· Drive the achievement of the store’s sale targets while also meeting individual sales goals

· Assist in maximizing the business potential of the store and maximizing sales by department in line with company strategy

· Monitor proper use and ensure the quality of data in the sales staff’s client books, working with sales staff to propose action plans

· Facilitate staff trainings and new hire inductions, ensuring the proper follow up steps are taken

· Deliver exceptional service to all clientele by upholding brand service values and standards while managing customer relationships in a timely, professional manner

· Identifies performance issues and policy violations according to company policy and partners with the Store Manager

· Keeping the store fully stocked

· Maintaining the highest level of visual merchandising and store conditions

· Delivering exceptional sales services for improved customer satisfaction

· Interacting with customers and identifying their needs and preferences

· Operating cash registers and point-of-sale machines

· Receiving and verifying the quality and quantity of new shipments

· Enforcing in-store security and health and safety procedures and regulations

· Perform any other duties assigned by the director.

Store Assistant duties and requirements

• High school diploma or GED is preferred.
• Proven retail sales experience.
• The ability to stand for extended periods.
• The ability to use labeling and pricing equipment as well as Point of Sale (POS) software.
• The ability to work in a fast-paced environment.
• Strong organizational skills.
• Effective communication skills.
• Exceptional customer service skills.
• Detail-oriented.

· Previous specialty retail management experience, preferably in the outdoor industry

· Retail background preferred-previous management experience

· The ability to work under pressure.

· Availability to work within opening hours (e.g. evenings, holidays, weekends).

Exciting Opportunity: Clinical Assistant at our GP clinic!!

Are you passionate about patient care and looking to make a meaningful impact in the healthcare industry? We are thrilled to announce that we are expanding our team and we are searching for dedicated Clinical Assistants to join us on this incredible journey.