Total 6 Others job vacancies

About the Job

The Institute of Sustainability for Chemicals, Energy and Environment (ISCE2) was established by A*STAR in 2022 to support Singapore's decarbonisation and sustainability goals, through strong international partnerships with industry, public agencies, and academia. ISCE2 is located at Jurong Island.

The Senior Manager / Assistant Director / Senior Assistant Director (Technology‑Business Development – Low‑Carbon Hydrogen) will manage industry R&D collaborations and translation activities across hydrogen and hydrogen‑derived value chains (e.g. production, storage, carriers such asammonia, cracking, utilisation and systems integration). In addition to driving execution, the role contributes to A*STAR’s technical and strategic positioning in low‑carbon hydrogen by shaping translation roadmaps, articulating evidence‑based perspectives to industry and public agencies, and influencing ecosystem‑level directions across hydrogen and hydrogen‑derived value chains.

The role supports the end‑to‑end technology‑business lifecycle, from early project scoping and IP strategy through to commercialization, licensing, and scale‑up, strengthening Singapore’s National Decarbonization Grand Challenge. Success in this role is reflected not only in projects delivered and partnerships secured, but also in the clarity, credibility, and influence of A*STAR’s technical viewpoints across the hydrogen ecosystem.

Key Responsibilities

• Manage and grow industry partnerships and collaborative R&D portfolios in low‑carbon hydrogen, delivering against key performance indicators for industry engagement, investment, and translation outcomes. Proactively scope, support, and manage projects across the innovation and translation pipeline, including securing industry contracts, research collaboration agreements, and public‑private partnerships.
• Assess, prioritise, and develop strategies to commercialise A*STAR intellectual property and platform capabilities related to hydrogen systems and technologies. Support and manage IP creation, protection, and deployment, including invention assessments, market analysis, competitive landscaping, and business/IP strategy formulation.
• Track technology and market trends in hydrogen and the broader energy transition landscape to identify opportunities for licensing, spin‑outs, and new collaborations. Engage researchers, industry partners, and public agencies to frame sector‑level challenges, align evidence‑based responses, and influence how emerging hydrogen technologies are assessed, adopted, and scaled.
• Deliver measurable outcomes as an individual contributor while supporting broader team and sector objectives.
• Contribute to the shaping of industrial ecosystems that reduce adoption barriers and accelerate deployment of hydrogen technologies in Singapore and the region. Articulate strategic technology‑translation viewpoints in hydrogen and hydrogen‑derived systems, informed by project outcomes, market intelligence, and regulatory developments, to guide partnerships, IP strategy, and programme priorities.
• Undertake ad‑hoc assignments as required by Decarbonisation Tech‑Biz leadership.

Job Requirements

• Bachelor’s degree or higher in chemical engineering, chemistry, engineering, energy systems, or a related discipline.
• Minimum 5–10 years of experience in technology management, industry partnerships, account management, or innovation/commercialisation roles.
• Experience supporting or managing commercialisation of energy, hydrogen, chemicals, or sustainability‑related technologies with MNCs, local enterprises, or start‑ups is preferred.
• Familiarity with intellectual property management, including identification, due diligence, and protection, is an advantage.
• Strong stakeholder engagement, communication, and negotiation skills.
• Ability to navigate complex technology development lifecycles from research to commercial deployment.
• Strategic thinker with good judgement and execution discipline in a fast‑moving, multi‑stakeholder environment.

Be part of a Scrum team working on delivering business value through Software:
• analyze business requirements and design solutions
• collaborate to refine user requirements through Specification by Example (SBE) and Behavior Driven Development (BDD)
• implement changes in the system by following good programming principles
• collaborate with other global IT teams (and sometimes travel there)
• assist production operations team in rollouts and support-related matters

Mandatory Skills Description:

• 6+ years of Java programming experience
• clean coding and refactoring skills
• great problem-solving ability
• experience with Agile methodologies, especially Scrum
• hands-on experience with Agile practices, like Continuous Integration and Test-Driven Development (you do TDD as if you meant it!)
• the willingness to strive for continuous improvement
• a profound appreciation for testing and experience in writing all levels of tests
• the craving for learning and the disposition to share knowledge and collaborate

Nice-to-Have Skills Description:
• banking / financial services domain experience
• experience of event-driven architectures
• experience of Oracle database development
• interest in distributed systems and writing resilient software

Responsibilities:

1. Responsible for the architecture design, core module development, and continuous iterative optimization of the game client to ensure high performance and stability.

2. Deeply research cutting-edge AI tools and technologies, applying them practically to project R&D to drive quality and development efficiency.

3. Lead the formulation of front-end development workflows, coding standards, and technical specifications to establish efficient team collaboration.

4. Lead core technical troubleshooting to resolve critical front-end technical challenges and performance bottlenecks.

Qualifications:

1. Bachelor’s degree or above in Computer Science or related fields; proficient in Unity3D.

2. 3+ years of experience in mobile/mini-game client development; experience successfully leading a game project from 0 to 1 is highly preferred.

3. Passionate about technical research, with a strong ability to explore and implement new technologies.

4. Passionate about gaming with a strong product mindset; ability to approach technical execution from a player experience and product perspective is a major plus.

5. Excellent communication and coordination skills, with a strong sense of responsibility and self-drive.

6. Due to work pass regulatory restrictions, this position is currently open to Singapore Citizens (SC) and Permanent Residents (PR) only.

Key Responsibilities

• Implement, monitor, and maintain safety policies, procedures, and programs at construction sites.
• Conduct daily site inspections to identify hazards and unsafe practices, and enforce corrective measures.
• Ensure compliance with local workplace safety regulations and statutory requirements.
• Prepare risk assessments, method statements, and safety reports for construction activities.
• Organize and conduct toolbox talks, safety briefings, and training sessions for workers.
• Investigate accidents, incidents, and near-misses, and recommend preventive measures.
• Maintain proper records of safety inspections, training, and incidents.
• Ensure that all safety equipment (PPE, fire extinguishers, first aid kits) is available, maintained, and used correctly.
• Liaise with contractors, subcontractors, and site management on safety-related matters.
• Promote a strong safety culture by encouraging safe work practices and recognizing safe behavior.

Qualifications & Requirements

• Diploma/Degree in Occupational Health & Safety, Engineering, or related field.
• Certified in Workplace Safety and Health (WSH) or equivalent (e.g., NEBOSH, OSHA, WSQ certifications).
• Experience as a Safety Officer in the construction industry preferred
• Knowledge of construction safety regulations, codes, and best practices a plus.
• Excellent communication, leadership, and problem-solving skills.
• Ability to work under pressure and in a fast-paced construction environment.
• Excellent documentation skills

Responsible for the timely and accurate processing of payroll for outsourced employees, including contract and temporary staff. Ensures compliance with statutory requirements, manages payroll-related enquiries, and liaises with clients and employees on payroll matters. Supports onboarding, offboarding, invoicing, and payroll administration while maintaining high standards of accuracy, confidentiality, and service delivery.

Responsibilities

• Process monthly payroll for contract and outsourced employees accurately and on time.
• Verify timesheets, attendance, overtime, and payroll-related claims.
• Ensure compliance with CPF, SDL, MOM regulations, and statutory requirements.
• Handle payroll enquiries from employees and clients.
• Maintain employee records and support onboarding/offboarding processes.
• Prepare payroll reports, billing data, and related documentation.
• Assist with work pass administration and HR operational matters as required.

Requirements

• Diploma or Degree in HR, Business Administration, Accounting, or related fields.
• At least 1 year of payroll experience, preferably in a recruitment or staffing environment.
• Familiar with Singapore Employment Act, CPF, and MOM regulations.
• Proficient in Microsoft Office, particularly Excel.
• Meticulous, organized, and able to work in a fast-paced environment.

Project Overview

This project aims to develop and clinically validate a real-time blood analysis and diagnostic platform using an integrated microfluidic medical device. The platform uses precision microfluidic technology to process and profile the biological activity of white blood cells, which is related to inflammatory conditions ranging from diabetes and sepsis to leukemia.

The Postdoctoral Research Associate - Data Scientist will lead the acquisition, preprocessing, analysis, and modelling of medical device-generated data, and will work closely with clinicians, scientists, and engineers to translate AI/machine learning models into working, deployable software for clinical testing and point-of-care use.

This role offers a rare opportunity to bridge clinical data science, medical device engineering, and translational research, moving from experimental and clinical sample data to robust AI-enabled diagnostic workflows and deployable prototypes.

Responsibilities

The Postdoctoral Research Associate - Data Scientist is responsible for developing end-to-end data and AI/ML workflows for the medical diagnostic platform, from device data acquisition and signal/data preprocessing to model optimisation, validation, software integration, and deployment.

Responsibilities include:

- Work closely with clinicians, scientists, software engineers, mechanical/electrical engineers, and data scientists to define clinical use cases, data requirements, model outputs, and deployment workflows for the medical device platform.

- Design and implement reliable data acquisition pipelines from medical device hardware, sensors, imaging or signal outputs, and associated experimental or clinical metadata.

- Develop preprocessing, quality-control, annotation, feature-engineering, and data-management workflows for noisy, multimodal, longitudinal, or time-series biomedical data.

- Analyse experimental and clinical sample data to characterise device and biological performance, identify artefacts, benchmark platform performance, and support evidence generation for translational studies.

- Develop, train, validate, and optimise machine learning, deep learning, statistical, or hybrid models for diagnostic, predictive, or decision-support tasks using appropriate metrics, cross-validation, robustness checks, and uncertainty analyses.

- Translate research models into reproducible and deployable software components, including model inference pipelines, APIs, dashboards, reports, or lightweight user interfaces for clinical and laboratory testing.

- Support software-hardware integration for data acquisition, model inference, device feedback, and prototype deployment; assist with basic UX refinement based on clinician and end-user feedback.

- Maintain high-quality documentation of datasets, code repositories, model versions, experimental protocols, validation results, data dictionaries, and technical reports.

- Prepare manuscripts, presentations, grant reports, and invention disclosures; contribute to literature reviews, patent/IP searches, and responsible research dissemination where relevant.

- Support clinical study workflows by coordinating with clinical collaborators and applying good data governance practices for sensitive clinical and experimental data.

Requirements

- Ph.D. in Data Science, Computer Science, Artificial Intelligence/Machine Learning, Biomedical Engineering, Electrical Engineering, Bioinformatics, Statistics, Applied Mathematics, Computational Biology, or a related field. Candidates close to completion may be considered if the degree will be conferred before appointment.

- Demonstrated research experience in data science, machine learning, deep learning, signal/image processing, biomedical data analysis, time-series analysis, clinical AI, or related computational research.

- Strong programming skills in Python; experience with common scientific and ML frameworks such as NumPy, pandas, scikit-learn, PyTorch or TensorFlow, Jupyter, and Git/GitHub.

- Experience with data acquisition, data cleaning, feature engineering, model optimisation, evaluation, reproducibility, version control, and scientific software development.

- Familiarity with clinical or biomedical datasets, medical device data, biosensor/microfluidic data, imaging data, physiological signals, or multimodal data integration is highly advantageous.

- Experience translating ML models into usable software prototypes, such as REST APIs, dashboards.

- Working knowledge of software-hardware interfacing, instrument-control software, serial/USB/Bluetooth communication, microcontrollers, embedded systems, or edge AI deployment would be advantageous.

- Ability to work closely with clinicians and multidisciplinary teams to interpret findings, gather end-user feedback, define clinical workflow needs, and improve the usability of AI/ML outputs.

- Strong written and oral communication skills, including the ability to write scientific manuscripts, technical documentation, reports, research proposals, and presentations for technical and non-technical audiences.

- Strong commitment to robust, ethical, and responsible AI/ML development, including attention to data privacy, model bias, interpretability, clinical validity, reproducibility, and safe deployment.

- Able and committed to work in Singapore, and willing to meet regularly with collaborators at NUS, NUH, and partnering hospitals.

Relevant Skills

Python, R/MATLAB, SQL, NumPy, pandas, scikit-learn, PyTorch/TensorFlow, Jupyter, data acquisition, biomedical signal processing, time-series analysis, image processing/computer vision, data preprocessing, feature engineering, model validation, model optimisation, uncertainty/robustness analysis, explainable AI, data visualisation, dashboards, REST APIs, Docker, Linux, Git/GitHub, MLOps, UX prototyping, software-hardware interfacing, and clinical data governance.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.