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

A Research Engineer position is open in the research group of A/P Wang Xinchao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). The Research Engineer will work closely with the Principal Investigator (PI) on one or more research projects. The candidate will join the research team in the areas of Deep Learning and Vision Applications.

The successful candidate is required to:

• Contribute to Dialogue, Speech Signal Processing and Machine Learning algorithms.
• Contribute to Image Processing and Machine Learning algorithms.
• Contribute to the implementation of Automatic Speech Recognition framework and development of systems.
• Contribute to the implementation of machine learning framework and development of image processing systems.
• To advance the knowledge, to publish in leading journals and conferences.
• To prepare and meet the project deliveries and milestones.

Qualifications

• Recognised degree in Bachelor / Master in Electrical Engineering, Computer Science or Computer Engineering
• Strong programming skills in one of the programming languages: C / C++, Matlab, Python
• Have prior project related experience
• Good team player and be able to work independently.
• Strong organizational, writing and interpersonal communications.
• Meticulous, able to work well under pressure and commitment to meet tight deadlines
• Open to fixed-term contract.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Institute for Functional Intelligent Materials (I-FIM) is seeking a researcher to investigate the application of scientific machine learning algorithms to develop an equation of state for dynamical systems out of equilibrium, with a focus on polymers under elongational flow. The role involves analysing large datasets from simulations and experiments to uncover patterns that traditional models may miss, aiming to enhance predictive capabilities for polymer behaviour. The work will be undertaken in collaboration with experts in algorithm development and experimental data collection and analysis. Additionally, the researcher will study the extension of developed framework to model multi-pendulum systems, exploring complex dynamics relevant to robotics and climate science. Findings will be disseminated through peer-reviewed journals, and the developed code will be made publicly available on GitHub.

Job Requirements

• Development of in the loop optimisation processes
• Ability to develop custom or apply state-of-the-art computer vision algorithms (CNN, AE, etc)
• Data cleaning, augmentation and dimension reduction
• Ability to work with common Python ML libraries (scikit-learn, tensorflow 1 & 2, pytorch), develop custom neural networks and implement classification and regression algorithms
• Interdisciplinary collaboration with researchers and scientists from different academic backgrounds
• Experience working in organic laboratories
• Knowledge of working with microfluidics platforms

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.

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.

About Us

Green Link Digital Bank is Singapore's inaugural wholesale digital bank focusing on supply chain finance, mainly serving MSMEs and aiming to help MSMEs grow and improve digitization.

We are looking for an Account Services Officer under our Operations Department to grow our business.

Responsibilities

• Assist Relationship Managers on account onboarding for new customers.
• Follow- up on required information/documentation related to account onboarding.
• Ensure provided information and documentation are in accordance with bank’s KYC (know-your-customer), AML (anti-money laundering) and CDD (customer due-diligence) requirements for initial onboarding and on an ongoing basis.
• Perform screening of customer names on prospect.
• Performs day to day management of the account maintenance processes.
• Responsible for various type of project management in the account services space and managing cross-functional relationships with all teams.
• Determines new work procedures, analyses complex and variable issues with significant departmental impact.
• Ensures awareness and full compliance of internal processes, regulations, policies, guidelines, procedures, and practices.
• Establishes and maintains close working relationships with stakeholders and within team to facilitate and open and direct communication of issues, needs and queries such that these may be responded to in an efficient, prompt, and professional manner.
• You may be required to carry out such additional duties as the Company may reasonably require.
• You will report to the Head of Account Services Team, or such other person as the Company may designate from time to time.

Requirements

• Bachelor’s Degree or equivalent experience.
• At least 3 years of experience in Client Onboarding/Client Data Maintenance focusing on Documentation Review and Static Data set-up.
• Demonstrated interpersonal skills, pro-active team player but also able to work independently with good written and verbal communication skills.
• Highly motivated, persistent, and able to work in a structured, high volume, time sensitive environment.
• Fast learner, strong attention to detail, and willingness to go extra mile.
• Proficient in Microsoft Office Applications.

About Us

Green Link Digital Bank is Singapore's inaugural wholesale digital bank focusing on supply chain finance, mainly serving MSMEs and aiming to help MSMEs grow and improve digitization.

We are looking for a Transaction Monitoring Officer under our Operations Department to grow our business.

Responsibilities

• Review and update KYC profiles for existing customers in adherence to the review.
• Conduct transaction reviews to identify any abnormalities that require further investigations.
• Conduct outreach to Relationship Managers to obtain relevant information to address transaction monitoring alerts.
• Evaluate the completeness of Relationship Managers/Customers response and clarify where required.
• Resolve alerts promptly, ensuring that significant issues are thoroughly investigated and escalated as needed.
• Undertake AML related investigations and prepare Escalation Memos.
• Perform screening of existing customers.
• Responsible for various type of project management in the transaction monitoring space and managing cross-functional relationships with all teams.
• Determines new work procedures, analyses complex and variable issues with significant departmental impact.
• Ensures awareness and full compliance of internal processes, regulations, policies, guidelines, procedures, and practices.
• Establishes and maintains close working relationships with stakeholders and within team to facilitate and open and direct communication of issues, needs and queries such that these may be responded to in an efficient, prompt, and professional manner.
• You may be required to carry out such additional duties as the Company may reasonably require.
• You will report to the Head of Transaction Monitoring Unit, or such other person as the Company may designate from time to time.

Requirements

• Bachelor’s Degree or equivalent experience.
• At least 3 years of relevant experience.
• Good knowledge of AML regulatory requirements.
• Demonstrated interpersonal skills, pro-active team player but also able to work independently with good written and verbal communication skills.
• Fast learner, strong attention to detail, and willingness to go extra mile.
• Proficient in Microsoft Office Applications.

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 team of Prof Loh Kian Ping invites application for a postdoctoral fellow/research fellow working in condensed matter physics and two dimensional (2-D) materials devices. A major research thrust is the synthesis and investigation of artificially engineered heterostructures of quantum materials synthesized by molecular beam epitaxy (MBE) with strong electron correlations which allow new emergent states to be created at the interface.

Requirements

The candidate should have a PhD in Physics and have experience in operating

1. Angle resolved photoemission spectrometer, and the collection and interpretation of results arising
2. Experience in the molecular beam epitaxy growth of 2D topological materials
3. UHV-scanning tunnelling microscopy/Q plus AFM

The candidate should have a strong track record in surface physics or condensed matter physics.

An attractive renumeration package will be offered for suitable candidate (research fellow) with a strong record in 2-D condensed matter physics and who has good publication record.

Summary of Role:
The candidate in this role is responsible for planning the supply of spare/maintenance/consumable parts to maintain optimum inventory levels (consumables, spares, etc.) and ensure the efficient running of the center. His other roles are being ISO certified and working on End Users Certifications (EUC).

Essential Responsibilities include:

• Plan and schedule Spare parts requirements based on demand plan/material requirement requests from Fabs.
• Regularly review inventory levels for specific categorization of materials.
• Regular monitoring of critical materials to ensure uninterrupted manufacturing.
• Coordinate with warehouse/logistics to ensure accurate inventory levels and stock availability.
• Publish essential spare parts metrics/KPIs to management on a timely basis.
• Derive the material requirement plan based on the master production schedule to procure and source.
• Good Knowledge of Inventory management.
• Oversee the department R&M/Chemicals, etc. stores – upkeep with house-keepings, periodic cycle counts.
• Maintain the inventory database, ensuring timely and accurate recordings.
• In charge of day-in-day-out logistics operations.
• Coordinate with and on the movement of materials.
• Must work closely with operation teams on the center's logistic needs.
• Ensure to adhere to zero safety requirements.
• Work on continuous improvement program in logistics operations.
• Ability to work in a multi-task environment.
• Providing day-to-day operations in FAB production material planning, inventory management, and procurement.
• Planned and monitored production schedule in the high-mix, low-volume environment (HMLV).
• Collaborate across departments in the planning process to plan and purchase materials requirements and meet the production plan effectively.
• Follow through with the orders from the start till delivery and ensure that goods are delivered on time.
• Ability to work in a multi-task environment.

Other Responsibilities:

• Perform all activities safely and responsibly and support all Environmental, Health, Safety & Security (EHS) requirements and programs.
• Support ISO certification and across suppliers' EUC requirements
• Support internal audit program by conducting ISO9001/TS16949 audits, gap analysis, and corrective action implementation
• Research best practices and conduct benchmarking related to QMS processes, methods, and tools
• Based upon the overall Quality System performance, identify critical systems or processes where quality improvements are required, initiate projects or activities to analyze, evaluate and propose solutions to address the problem and improve performance

Required Qualifications:

• Minimum of 5 years of professional experience in procurement, consulting, program management, and supply chain & inventory
• Direct experience in pricing and contract negotiations, supplier relationship management, business strategy, contract manufacturing/outsourcing, and continuous process improvement
• Communicate complex information clearly and concisely.
• Develop and maintain collaborative business relationships with stakeholders and align ISO/EUC requirements for the program.
• Interact with all levels of the organization.
• Perform in a very fast-paced environment.

Summary of Role:
The candidate in this role is responsible for planning the supply of spare/maintenance/consumable parts to maintain optimum inventory levels (consumables, spares, etc.) and ensure the efficient running of the center. His other roles are being ISO certified and working on End Users Certifications (EUC).

Essential Responsibilities include:

• Plan and schedule Spare parts requirements based on demand plan/material requirement requests from Fabs.
• Regularly review inventory levels for specific categorization of materials.
• Regular monitoring of critical materials to ensure uninterrupted manufacturing.
• Coordinate with warehouse/logistics to ensure accurate inventory levels and stock availability.
• Publish essential spare parts metrics/KPIs to management on a timely basis.
• Derive the material requirement plan based on the master production schedule to procure and source.
• Good Knowledge of Inventory management.
• Oversee the department R&M/Chemicals, etc. stores – upkeep with house-keepings, periodic cycle counts.
• Maintain the inventory database, ensuring timely and accurate recordings.
• In charge of day-in-day-out logistics operations.
• Coordinate with and on the movement of materials.
• Must work closely with operation teams on the center's logistic needs.
• Ensure to adhere to zero safety requirements.
• Work on continuous improvement program in logistics operations.
• Ability to work in a multi-task environment.
• Providing day-to-day operations in FAB production material planning, inventory management, and procurement.
• Planned and monitored production schedule in the high-mix, low-volume environment (HMLV).
• Collaborate across departments in the planning process to plan and purchase materials requirements and meet the production plan effectively.
• Follow through with the orders from the start till delivery and ensure that goods are delivered on time.
• Ability to work in a multi-task environment.

Other Responsibilities:

• Perform all activities safely and responsibly and support all Environmental, Health, Safety & Security (EHS) requirements and programs.
• Support ISO certification and across suppliers' EUC requirements
• Support internal audit program by conducting ISO9001/TS16949 audits, gap analysis, and corrective action implementation
• Research best practices and conduct benchmarking related to QMS processes, methods, and tools
• Based upon the overall Quality System performance, identify critical systems or processes where quality improvements are required, initiate projects or activities to analyze, evaluate and propose solutions to address the problem and improve performance

Required Qualifications:

• Minimum of 5 years of professional experience in procurement, consulting, program management, and supply chain & inventory
• Direct experience in pricing and contract negotiations, supplier relationship management, business strategy, contract manufacturing/outsourcing, and continuous process improvement
• Communicate complex information clearly and concisely.
• Develop and maintain collaborative business relationships with stakeholders and align ISO/EUC requirements for the program.
• Interact with all levels of the organization.
• Perform in a very fast-paced environment.

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 team of Prof Loh Kian Ping invites application for a postdoctoral fellow/research fellow working in condensed matter physics and two dimensional (2-D) materials devices. A major research thrust is the synthesis and investigation of artificially engineered heterostructures of quantum materials synthesized by molecular beam epitaxy (MBE) with strong electron correlations which allow new emergent states to be created at the interface.

Requirements

The candidate should have a PhD in Physics and have experience in operating

1. Angle resolved photoemission spectrometer, and the collection and interpretation of results arising
2. Experience in the molecular beam epitaxy growth of 2D topological materials
3. UHV-scanning tunnelling microscopy/Q plus AFM

The candidate should have a strong track record in surface physics or condensed matter physics.

An attractive renumeration package will be offered for suitable candidate (research fellow) with a strong record in 2-D condensed matter physics and who has good publication record.

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 first-of-its kind AI-assisted integrated NDT verification system for reusability of structural steel with accuracy of ±10% at confidence level of 95%. The key innovation is to use AI to analyse a bigger data set and build a multi-parameter machine learning (ML) model that integrate the complex mechanical properties obtained from DT and the electric/magnetic permeability data obtained from NDT to predict the critical material characteristics of reusable steels.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  1. Establishing test result database: Conducting both DTs and NDTs on the same samples to create a comprehensive dataset for AI model development, managing data collection processes on-site at the collaborator’s factory, and ensuring the accuracy and integrity of the collected data.
  2. Developing statistical model: Utilizing DT results to develop statistical models for estimating mechanical characteristics based on normal distribution and analyzing statistical data to support model development.
  3. Developing and verifying the AI model: Developing various regression models and evaluate their feasibility and suitability, conducting model fitting and verification phases using training and test datasets and ensuring the selected model meets the accuracy criteria (±10% at 95% confidence) for individual mechanical characteristics and overall classification results (grade determination).
  4. Validation of the method: Implementing the proposed method and AI model in test bedding cases, measuring the impact of the method in terms of time and cost savings and developing implementation guidelines based on validation results.
• 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.
• Publish research findings in peer-reviewed journals and present at conferences.
• Assist in the preparation of project reports, proposals, and documentation.

Requirements

• Have relevant competence in the areas of structural engineering, material science, statistics and programming basics.
• Have a degree in Civil Engineering, Mechanical Engineering or Material Science. Possessing a Master’s or PhD degree will be advantageous.
• Knowledge of AI / ML and common ML programming languages will be advantageous.

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
• Able to carry out data preprocessing, develop statistical and regression models.
• Possess knowledge of the mechanical properties of structural steel and factors affecting its performance
• Able to prioritize tasks, meet deadlines, and manage multiple responsibilities.

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.

Job Description:

We are looking for an Investment Research Intern to join our investment team. This role is perfect for fresh graduates or undergraduate students who are eager to dive into investment research (e.g. style factors), financial data analysis, and uncover its unique characteristics compared to other industries. The ideal candidate will have a passion for financial investment research (in stocks and futures), data and portfolio performance analysis, an analytical mindset, and a keen interest in the financial sector. We are seeking candidates with strong analytical skills, problem-solving abilities, and programming experience, particularly in maintaining and refining existing Python code.

Responsibilities:

• Assist in conducting investment research (e.g. factor research) using Python and/or spreadsheets.
• Utilize statistical methods and/or visualisation techniques to present findings clearly and compellingly.
• Support the investment team in preparation of presentation materials for internal discussions.
• Maintain and update existing data cleansing, investment portfolio construction and performance analysis codes written in Python.

Requirements:

• Currently pursuing or recently completed a degree in (Quantitative) Finance, Economics, Statistics, Computer Science, or a related field.
• Strong analytical abilities, data manipulation skills, and a passion for working with data.
• Proficiency in Python, preferably with a focus on writing structured, class-based code.
• Self-motivated, eager to learn, and enthusiastic about new technologies.
• Experience in SQL is a plus.

Additional Notes:

• This internship offers a great opportunity to gain hands-on experience in financial data analysis and contribute to impactful projects.
• You will have the chance to work with seasoned investment professionals, gaining valuable insights and experience in the financial industry.
• The internship period will be for 3 months with a possible 3-month extension based on performance outcomes.

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 staff would lead at least one project under supervision of the Principle Investigator (PI).

• The scope of the project is on biomass valorization for either aviation fuel production or transformation into advanced materials.
• Develop a well justified approach to achieve a goal, once a problem statement and/or a research scope is defined by the PI and the staff.
• Executive the plan experimentally and interpret the data critically.
• Report to the PI proactively and take the initiative to propose changes to the plan when the project faces a technical challenge.
• Draft manuscripts and attend conferences to publicize the project findings.
• Support other team members and train junior colleagues.
• Draft research proposal together with the PI.

Qualifications

A well-qualified candidate should:

(1) be passionate about research;

(2) have a Bachelor’s degree in Chemical Engineering, Chemistry, or a similar/equivalent discipline;

(3) be an expert of chemical conversion of natural and synthetic polymers;

(4) command both spoken and written English at professional level;

(5) be a good team player;

(6) excellent publication record in related areas.

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 seek a full-stack engineer passionate about delivering the best user experience for cutting-edge technology. You will build the back end, which empowers the next-generation AI assistant, and the front end, which creates seamless new workflows.

Responsibilities

• Work with the core research team to idealize design concepts
• Participate in all aspects of agile software development, including design, implementation, and deployment
• Architect and design end-to-end systems optimized for speed and scale
• Build the front-end of applications through appealing visual design
• Test software to ensure responsiveness and efficiency
• Build features and applications with a mobile responsive design
• Write technical documentation

Qualifications

• Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related field.
• Interest in learning new tools, languages, workflows, and philosophies
• At least one year of experience in building software applications
• Experience in building web applications, and designing and integrating RESTful APIs are added advantages.
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache), and UI/UX design
• Excellent debugging and optimization skills
• Experience in unit/integration testing
• Excellent communication and teamwork skills
• Employment type: 12 months' contract

Only shortlisted candidates will be notified.

Responsibilities:

· To ensure safety measures are in place

· To be responsible for the management and implementation of WSH policy and coordinate compliance with WSH

Requirements:

· MOM registered WSH Officer

· Minimum 2-3 years relevant working experience in cleaning industry

· Good knowledge of Government Regulations relating to Occupational Safety Health and Environment

Candidates are expected to:-

• Assume the role of the Head of the deck department and Master’s deputy;
• Ensure cargo operations and related safety measures are implemented;
• Liaise with shore authorities and ensure awareness of Safety Management System;
• Ensure deck crew follow safe working practices as defined in company procedures;
• Identify potential ship hazards associated with deck operations and advise the Master accordingly;
• Instruct Cadets/Junior Officers/Ratings on relevant QHSSE and shipboard procedures;
• Perform stability and related calculations for cargo and ballasting;
• Notify the Master immediately of any defects onboard ship which may affect safety and structural integrity of ship which may put the marine environment at risk;
• Assign Deck Officers/Ratings specific roles and responsibilities with respect to the deck department as defined in the Safety Management System; and
• Investigate non-conformances and apply corrective action(s) in consultation with the Master.

The ideal candidate must:-

• Possess a Certificate of Competency (Deck) Class 2; and
• Possess at least 3 years of experience as a Chief Mate onboard a container vessel.

Job Description

• Prepare and analyze financial statements (income statement, balance sheet, cash flow statement, etc.).
• Generate monthly, quarterly, and annual reports for management and stakeholders.
• Assist in the development of annual budgets and monitor budget variances and prepare variance analysis reports.
• Manage the accounts payable process, ensuring timely and accurate payment of invoices.
• Oversee accounts receivable, including invoicing, collections, and cash application.
• Maintain the general ledger, ensuring all transactions are recorded accurately.
• Ensure compliance with local, state, and federal regulations.
• Prepare for internal and external audits by gathering necessary documentation and information.
• Conduct financial analysis to support decision-making (e.g., cost-benefit analysis, profitability analysis).
• Monitor cash flow and manage working capital.
• Collect and maintain accurate data on taxable sales, purchases, and expenses for GST reporting and submissions purposes.
• Work closely with other departments (e.g., operations, sales, HR) to provide financial insights.
• Stay updated on financial regulations, accounting standards, and industry trends.

Requirements

• A degree in accounting, finance, or a related field.
• Strong communication and interpersonal skills.
• Familiarity with relevant accounting standards, tax regulations, and financial reporting requirements.
• The ability to multi-task, work under pressure, and meet deadlines.

The Genome Research Informatics and Data Science Platform is looking for a full Stack Software Developer to design, build and operate software systems in support of Institute and hosted programs. Your primary responsibilities include FE and BE Software Development and to ensure compliance with standards and policies (A*STAR, ISO etc)

Requirements

• Bachelor/Master Degree in IT/Computer Science
• Experience in scientific software development and full stack software DevOps
• Possess skills in Javascript for FE and BE, Java and Python
• Knowledge in Containerization and Serverless on Cloud (e.g. AWS Lambda) would be advantageous

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.

The Genome Research Informatics and Data Science Platform is looking for a full Stack Software Developer to design, build and operate software systems in support of Institute and hosted programs. Your primary responsibilities include FE and BE Software Development and to ensure compliance with standards and policies (A*STAR, ISO etc)

Requirements

• Bachelor/Master Degree in IT/Computer Science
• Experience in scientific software development and full stack software DevOps
• Possess skills in Javascript for FE and BE, Java and Python
• Knowledge in Containerization and Serverless on Cloud (e.g. AWS Lambda) would be advantageous

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.

A Research fellow position is available in Dr. Anand Andiappan Laboratory at the Singapore Immunology Network (SIgN). The successful candidate will support the research work that focuses on studying inflammaeing in the context of skin aging in Asian populations.

The candidate will work on primary cells from cohorts and cell culture systems towards understanding functional immune responses in skin immune interactions and recapitulating them in in-vitro and ex-vivo systems. Additional work involves cellular and stimulation assays with flow cytometry and FACS analysis along with imaging by microscopy, and associated data analysis with statistical tested.

Duties will include managing safety in the laboratory, creating Standard Operating Procedures (SOPs) and laboratory risk assessments, maintaining laboratory inventories, perform other laboratory administrative duties and operations such as ordering and tracking laboratory budget.

Job Requirements:

• PhD Degree in Skin Immunology, Life sciences, Biomedical sciences, Molecular Biology, Biotechnology or equivalent
• Preferably with at least 5 years experience in dermatology, immunology, molecular allergy and clinical immunology
• Experience with human and mouse blood/tissue sample handling and in vitro cell culture and processing (e.g. isolation of specific immune cell populations, differentiation and activation assay)
• Experience with flow cytometry analysis for different immune cell populations and functional immune assays
• Highly motivated to work in research laboratory and able to perform tasks independently
• Precise, detailed-oriented and able to follow complex protocols
• Willing to learn new experimental procedures and troubleshoot assays
• Good team player with good interpersonal skills
• Good spoken and written communication skills

Please submit your application with a cover letter summarizing your research experience.

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.

The Digital Health Accelerator (DHA) is led by A*STAR, Ministry of Health (MOH) Singapore, SingHealth, National Healthcare Group (NHG), and National University Health System (NUHS). DHA supports innovators in driving adoption and scaling of market ready or near-market ready digital health solutions. DHA is hosted by Singapore's Diagnostics Development Hub (DxD Hub).

The DHA integration engineer is responsible for planning and developing workflow and technical interfaces between healthcare IT systems. She/He will work with DHA Project Managers, Solution Architects, health systems and companies to accomplish this objective. She/He may also be called upon to advise other developers on integration standards.

Responsibilities:

• You’ll be involved in the development, design, build, testing, and go live phases of multiple integration projects.
• This includes scripting to conform / transform to another systems specifications.
• You will also work with internal teams to continuously improve processes and procedures around deployment of interoperability products that communicate in HIT standards-based formats such as HL7, IHE Profiles, Direct, or SMART on FHIR.
• The Integration Engineer oversees the development of new interfaces and maintain the sandbox environment up to date for application testing.

Requirements:

• Bachelor’s degree in information systems, Computer Science, Engineering, Computer Information Systems, Management Information Systems, or equivalent experience
• 3+ years’ experience in HCIT integration using established and contemporary interoperability standards (e.g. HL7, SMRT, FHIR)
• Experience with SQL and relational databases, and communication using secure protocols.
• Ability to work in a team environment alongside developers and deployment teams.
• Utilise engines like Mirth Connect or Rhapsody to have a standard way of integration using both HL7 and DICOM
• Knowledge in developing and configuring Context Launch requirements according to AES 256 standards.
• Assess and customise integrations (HL7 / FHIR / DICOM) based on the project to specific workflow.
• Experience with cloud deployments and/or pipelines, especially Pivotal Cloud Foundry
• Experience with popular healthcare integration engines with ability to recommend and/or select different integration approaches depending on the desired outcomes for the system.
• Strong communication skills and ability to work with project stakeholders from different backgrounds (e.g. technical, clinical)
• Experience integrating with Singapore public hospital technical stack and working with Synapxe are a plus.

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:

DxD Hub is seeking an experienced UI/UX engineer for our product development for our Digital Diagnostics Team. In this role, you will play a crucial role in driving the user interface and experience of digital health products in collaboration with external partners (especially clinicians). The ideal candidate should possess a strong usability engineering skills and able to translate expectation to visualisation and handover to technical team.

Job Responsibilities:

• Design innovative app experiences based on the understanding of personas, their behaviors and needs as well as competitive market insights.
• Collaborate with partners to understand their goals and propose a user-centric approach to improve digital services.
• Communicate design ideas through tools such as sketches, user journeys, storyboards, mind maps, wireframes, and clickable prototypes.
• Drive user research activities such as, usability testing, user interviews, surveys, and translate research findings into meaningful recommendations.
• Guide all aspects of UX including design research, design strategy, user experience, usability testing, interaction/content design and prototyping.
• Work closely with Product Owners to ensure all design work meets user needs and business requirements.
• Create a design-minded environment and build design capabilities amongst project team members.

Job Requirements:

• Degree or Diploma in Human Computer Interactions, Design, Psychology, Computer Science or related fields
• 1-2 years’ experience in user-centered design with hands on experience building visual identities for web and mobile app UI.
• Experience in delivering wireframes, UX flows, mockups, interactive prototypes, design specifications, and final assets.
• Experience with design/wireframing software such as: Figma, Sketch, Adobe suite, or equivalent.
• Strong portfolio showcasing your best design work for web and mobile.

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.

A Research fellow position is available in Dr. Anand Andiappan Laboratory at the Singapore Immunology Network (SIgN). The successful candidate will support the research work that focuses on studying inflammaeing in the context of skin aging in Asian populations.

The candidate will work on primary cells from cohorts and cell culture systems towards understanding functional immune responses in skin immune interactions and recapitulating them in in-vitro and ex-vivo systems. Additional work involves cellular and stimulation assays with flow cytometry and FACS analysis along with imaging by microscopy, and associated data analysis with statistical tested.

Duties will include managing safety in the laboratory, creating Standard Operating Procedures (SOPs) and laboratory risk assessments, maintaining laboratory inventories, perform other laboratory administrative duties and operations such as ordering and tracking laboratory budget.

Job Requirements:

• PhD Degree in Skin Immunology, Life sciences, Biomedical sciences, Molecular Biology, Biotechnology or equivalent
• Preferably with experience in dermatology, immunology, molecular allergy and clinical immunology
• At least 2 years experience with human and mouse blood/tissue sample handling and in vitro cell culture and processing (e.g. isolation of specific immune cell populations, differentiation and activation assay)
• Experience with flow cytometry analysis for different immune cell populations and functional immune assays
• Highly motivated to work in research laboratory and able to perform tasks independently
• Precise, detailed-oriented and able to follow complex protocols
• Willing to learn new experimental procedures and troubleshoot assays
• Good team player with good interpersonal skills
• Good spoken and written communication skills

Please submit your application with a cover letter summarizing your research experience.

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 Responsibilities:

• Design and develop high-quality, scalable, and maintainable mobile applications.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Ensure the performance, quality, and responsiveness of applications.
• Identify and correct bottlenecks and fix bugs.
• Help maintain code quality, organization, and automatization.
• Stay up-to-date with the latest trends and technologies in mobile development.

Requirements:

• At least a minimum of 5 years of relevant experience in IOS/Android App development.
• Bachelors degree in Computer Science, Information Technology, or a related field.
• Strong knowledge of Flutter, React, Dart and native programming language.
• Proven experience in building mobile applications for Android and iOS.
• Understanding of the full mobile development life cycle.
• Familiarity with RESTful APIs to connect mobile applications to back-end services.
• Strong understanding of design principles and user interface guidelines.
• Excellent problem-solving skills and ability to work in a team environment.
• Good communication and interpersonal skills.

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.