Total 8 digital art director job vacancies in D04 Harbourfront,Telok Blangah, Sentosa Island

Key Responsibilities

· Work as a strategic partner to R&D, Tech-Biz Divisions and Horizontal Offices.

· Plan, oversee and control the financial budgeting of both institutes and funds management.

· Ensures accurate compilation, analysis, and reporting of financial and accounting data.

· Optimises both institutes' funds utilization.

· Develops, implements, and maintains systems, processes, and internal policies.

· Provides the required financial information to management and key stakeholders

· Liaise with headquarters Stakeholders and Corporate Group Finance.

· Work closely with the management and internal & external stakeholders.

Required Qualification

· Bachelor's degree or master's degree in finance or accounting.

· At least 10 years of relevant experience in a finance-related role of a similar capacity.

· Good knowledge of Singapore Financial Reporting Standards.

· Self-motivated with good interpersonal and communication 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.

Key Responsibilities

· Work as a strategic partner to R&D, Tech-Biz Divisions and Horizontal Offices.

· Plan, oversee and control the financial budgeting of both institutes and funds management.

· Ensures accurate compilation, analysis, and reporting of financial and accounting data.

· Optimises both institutes' funds utilization.

· Develops, implements, and maintains systems, processes, and internal policies.

· Provides the required financial information to management and key stakeholders

· Liaise with headquarters Stakeholders and Corporate Group Finance.

· Work closely with the management and internal & external stakeholders.

Required Qualification

· Bachelor's degree or master's degree in finance or accounting.

· At least 8 years of relevant experience in a finance-related role of a similar capacity.

· Good knowledge of Singapore Financial Reporting Standards.

· Self-motivated with good interpersonal and communication 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.

Digital Supply Chain Group of the Resilient Value Chain Division at the ARTC is searching for a Development Scientist who will lead and support projects in Supply Chain innovation using advanced data analytics, Generative AI and SOTA AI.

Responsibilities:

1. Deliver tangible outcomes in technical projects: e.g:Develop new, bespoke, accurate, and fast algorithms to solve Supply Chain optimization and prediction problems. Implement state-of-the-art approaches and bring them to industry-readiness status.
2. Focus on technical efforts in data analytics, Generative AI and SOTA AI research by providing effective tech leadership in problem definition and solution design. Key skillsets include Statistical Analysis, Neural Network Frameworks, GANs (Generative Adversarial Networks), Natural Language Processing, Data Generation and Augmentation, Hyperparameter Tuning.
3. Continuously develop personal technical skillsets to ensure technical relevance.
4. Domain knowledge (aerospace, energy, land transport, logistics, etc.) for the specific context of operational research.
5. Abide by software development processes and procedures to ensure high quality of deliverables.
6. Assist in securing industry projects and research grants through stakeholder engagements.

Job Requirements:

• Good interpersonal and communication (verbal & written) skills.
• PhD in Computer Engineering, Computer science, Supply Chain Analytics, or Business Analytics.
• Strong skills in mathematical problem definition, algorithm design, scientific computing, statistic modeling and analytics, and real-world problem solving.
• Strong scientific programming background (e.g. Pyton, C, C++, etc.) with familiarity with machine learning frameworks (e.g. TensorFlow/Pytorch/Scikit-learn).
• Prior experience with AI in supply chain optimisation (e.g., fleet planning, network design, scheduling) is preferrable.
• A publication track record in Industry 4.0-related topics, e.g., Gen-Ai, optimisation, machine learning/deep learning, etc.

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.

Digital Supply Chain Group of the Resilient Value Chain Division at the ARTC is searching for a Development Scientist who will lead and support projects in Supply Chain innovation using advanced data analytics, Generative AI and SOTA AI.

Responsibilities:

1. Deliver tangible outcomes in technical projects: e.g:Develop new, bespoke, accurate, and fast algorithms to solve Supply Chain optimization and prediction problems. Implement state-of-the-art approaches and bring them to industry-readiness status.
2. Focus technical efforts in data analytics, Generative AI and SOTA AI research by providing effective tech leadership in problem definition and solution design. Key skillsets include Statistical Analysis, Neural Network Frameworks, GANs (Generative Adversarial Networks), Natural Language Processing, Data Generation and Augmentation, Hyperparameter Tuning.
3. Continuously develop personal technical skillsets to ensure technical relevance.
4. Domain knowledge (aerospace, energy, land transport, logistics, etc.) for the specific context of operational research.
5. Abide by software development processes and procedures to ensure high quality of deliverables.
6. Assist in securing industry projects and research grants through stakeholder engagements.

Job Requirements:

• Good interpersonal and communication (verbal & written) skills.
• PhD in Computer Engineering, Computer science, Supply Chain Analytics, or Business Analytics.
• Strong skills in mathematical problem definition, algorithm design, scientific computing, statistic modeling and analytics, and real-world problem solving.
• Strong scientific programming background (e.g. Pyton, C, C++, etc.) with familiarity with machine learning frameworks (e.g. TensorFlow/Pytorch/Scikit-learn).
• Prior experience with AI in supply chain optimisation (e.g., fleet planning, network design, scheduling) is preferrable.
• A publication track record in Industry 4.0-related topics, e.g., Gen-Ai, optimisation, machine learning/deep learning, etc.

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

Job Description:

The CPPS group is seeking a highly motivated scientist or senior scientist to lead and conduct research in machine learning and AI-driven search and optimization algorithms for manufacturing applications. Cutting-edge algorithms will be deployed to support manufacturing decisions in (but not limited to),

• Multi-site/multi-enterprise inventory planning and control,
• Multi-resource production planning and scheduling,
• Value chain manufacturing decision support and decision-making

The key roles & responsibilities include, but are not limited to the following:

• Research into novel learning-centric optimization algorithms for efficient multi-resource planning and related value chain problems
• Working with a team of scientists and engineers to enhance the planning capabilities of existing or new enterprise decision-support systems
• Formulate scientific research directions and innovative proposals to secure competitive funding
• Understand the autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

PhD degree in AI, Computer Science, Operations Research, or other relevant disciplines with emphasis on optimization, machine learning and data-science

Candidates with strong fundamentals in computing and AI are welcome. 5 years’ experience in research and leadership of R&D projects in the relevant area of expertise (for Senior Scientist).

• Programming/coding skills in developing optimization and machine learning algorithms
• Good track record of scientific publications in top journals or conferences
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

The CPPS group is seeking a highly motivated scientist or senior scientist to lead and conduct research in machine learning and AI-driven search and optimization algorithms for manufacturing applications. Cutting-edge algorithms will be deployed to support manufacturing decisions in (but not limited to),

• Multi-site/multi-enterprise inventory planning and control,
• Multi-resource production planning and scheduling,
• Value chain manufacturing decision support and decision-making

The key roles & responsibilities include, but are not limited to the following:

• Research into novel learning-centric optimization algorithms for efficient multi-resource planning and related value chain problems
• Working with a team of scientists and engineers to enhance the planning capabilities of existing or new enterprise decision-support systems
• Formulate scientific research directions and innovative proposals to secure competitive funding
• Understand the autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

PhD degree in AI, Computer Science, Operations Research, or other relevant disciplines with emphasis on optimization, machine learning and data-science

Candidates with strong fundamentals in computing and AI are welcome. 5 years’ experience in research and leadership of R&D projects in the relevant area of expertise (for Senior Scientist).

• Programming/coding skills in developing optimization and machine learning algorithms
• Good track record of scientific publications in top journals or conferences
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

The CPPS group is seeking a highly motivated scientist or senior scientist to lead and conduct research in machine learning and AI-driven search and optimization algorithms for manufacturing applications. Cutting-edge algorithms will be deployed to support manufacturing decisions in (but not limited to),

• Multi-site/multi-enterprise inventory planning and control,
• Multi-resource production planning and scheduling,
• Value chain manufacturing decision support and decision-making

The key roles & responsibilities include, but are not limited to the following:

• Research into novel learning-centric optimization algorithms for efficient multi-resource planning and related value chain problems
• Working with a team of scientists and engineers to enhance the planning capabilities of existing or new enterprise decision-support systems
• Formulate scientific research directions and innovative proposals to secure competitive funding
• Understand the autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

PhD in Computer Science, Data Science or Mechanical/Industrial/Electrical Engineering

7 years’ experience in developing and deploying machine learning and data analytics (for Senior Scientist).

• Strong leadership skills
• Programming/coding skills in developing AI and data analytics
• Skills in data modelling, machine learning, signal processing
• Good track record of publications
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

The CPPS group is seeking a highly motivated scientist or senior scientist to lead and conduct research in machine learning and AI-driven search and optimization algorithms for manufacturing applications. Cutting-edge algorithms will be deployed to support manufacturing decisions in (but not limited to),

• Multi-site/multi-enterprise inventory planning and control,
• Multi-resource production planning and scheduling,
• Value chain manufacturing decision support and decision-making

The key roles & responsibilities include, but are not limited to the following:

• Research into novel learning-centric optimization algorithms for efficient multi-resource planning and related value chain problems
• Working with a team of scientists and engineers to enhance the planning capabilities of existing or new enterprise decision-support systems
• Formulate scientific research directions and innovative proposals to secure competitive funding
• Understand the autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

PhD degree in AI, Computer Science, Operations Research, or other relevant disciplines with emphasis on optimization, machine learning and data-science

Candidates with strong fundamentals in computing and AI are welcome. 5 years’ experience in research and leadership of R&D projects in the relevant area of expertise (for Senior Scientist).

• Programming/coding skills in developing optimization and machine learning algorithms
• Good track record of scientific publications in top journals or conferences
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively