Total 15 digital design manager job vacancies in Manufacturing / Production category in Singapore

Job Description:

The CPPS group is seeking a highly motivated scientist or senior scientist to lead in the development of AI technologies to deliver impactful and innovative digital technologies for predictive/prescriptive analytics and decision support. He/she will be expected to define growth opportunities and new ways to engage industry to advance AI for manufacturing, and look after a team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI. The key roles & responsibilities include, but are not limited to the following:

• Develop AI models to enhance and automate decision making and enable predictive/prescriptive analytics
• Define opportunities to push frontiers of AI research in manufacturing
• Formulate research direction and proposals for competitive funding to advance AI in manufacturing
• Engagement of companies to understand their challenges and translate to research collaborations in AI
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Contribute to research and development in Cyber-Physical Production System technologies
• Develop research proposals to secure competitive funding
• Lead technology development, live production environment testbedding and technology transfer of robust algorithms to industry
• Understand 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 in the development of AI technologies to deliver impactful and innovative digital technologies for predictive/prescriptive analytics and decision support. He/she will be expected to define growth opportunities and new ways to engage industry to advance AI for manufacturing, and look after a team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI. The key roles & responsibilities include, but are not limited to the following:

• Develop AI models to enhance and automate decision making and enable predictive/prescriptive analytics
• Define opportunities to push frontiers of AI research in manufacturing
• Formulate research direction and proposals for competitive funding to advance AI in manufacturing
• Engagement of companies to understand their challenges and translate to research collaborations in AI
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Contribute to research and development in Cyber-Physical Production System technologies
• Develop research proposals to secure competitive funding
• Lead technology development, live production environment testbedding and technology transfer of robust algorithms to industry
• Understand 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

• Liaise with internal and External Partners to drive SIMTech Technology /solutions adoption
• Compile Market Intelligent for assgined industry and identify businesss opportunities and competition
• Strategise with SMC director and other stakeholder to develop effective initiative for assigned industry /solutions
• Meet IDO KPI : Billed Revenue, IRS Cash, T-up , licensing revenue , Success stories , etc
• Develop marketing collateral for SMC - for different products and solutions
• Organise marketing event - seminar , workshop and talk to promote SIMTech technology and solutions
• Handle and negotiate terms of business and IP ownership for each projects

Manage all agreement - NDA, RCA and MOU

Candidate must have good knowledge & capability

• Business law and terms of business
• Sustainability solutions, technology and trends
• Business development capability
• Negotiation and abilityto develop good business relationship with customers

The CPPS group is seeking a highly motivated scientist or senior scientist to lead and conduct research in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls and/or automation. Knowledge of PLC programming would be a strong advantage.

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

• Research into novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Working with a team of scientists and engineers to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• 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 communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is needed

Job Requirement:

• PhD degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls and/or automation.
• Fresh Graduates with strong fundamentals in controls and IIOT are welcome. (For Senior Scientist) 5 years’ experience in research and leadership of R&D projects in the relevant area of expertise.
• Good track record of scientific publications in top journals or conferences
• Excellent technical presentation and writing skills
• Ability to develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others is a strong advantage
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

The CPPS group is seeking a highly motivated scientist or senior scientist to lead and conduct research in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls and/or automation. Knowledge of PLC programming would be a strong advantage.

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

• Research into novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Working with a team of scientists and engineers to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• 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 communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is needed

Job Requirement:

• PhD degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls and/or automation.
• Fresh Graduates with strong fundamentals in controls and IIOT are welcome. (For Senior Scientist) 5 years’ experience in research and leadership of R&D projects in the relevant area of expertise.
• Good track record of scientific publications in top journals or conferences
• Excellent technical presentation and writing skills
• Ability to develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others is a strong advantage
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

The CPPS group is seeking a highly motivated scientist or senior scientist to lead and conduct research in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls and/or automation. Knowledge of PLC programming would be a strong advantage.

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

• Research into novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Working with a team of scientists and engineers to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• 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 communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is needed

Job Requirement:

• PhD degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls and/or automation.
• Good track record of scientific publications in top journals or conferences
• Excellent technical presentation and writing skills
• Ability to develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others is a strong advantage
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

The CPPS group is seeking a highly motivated scientist or senior scientist to lead and conduct research in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls and/or automation. Knowledge of PLC programming would be a strong advantage.

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

• Research into novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Working with a team of scientists and engineers to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• 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 communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is needed

Job Requirement:

• PhD degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls and/or automation.
• Good track record of scientific publications in top journals or conferences
• Excellent technical presentation and writing skills
• Ability to develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others is a strong advantage
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

The CPPS group is seeking a highly motivated scientist or senior scientist to lead and conduct research in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls and/or automation. Knowledge of PLC programming would be a strong advantage.

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

• Research into novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Working with a team of scientists and engineers to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• 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 communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is needed

Job Requirement:

• PhD degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls and/or automation.
• Fresh Graduates with strong fundamentals in controls and IIOT are welcome. (For Senior Scientist) 5 years’ experience in research and leadership of R&D projects in the relevant area of expertise.
• Good track record of scientific publications in top journals or conferences
• Excellent technical presentation and writing skills
• Ability to develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others is a strong advantage
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

The CPPS group is seeking a highly motivated scientist or senior scientist to lead and conduct research in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls and/or automation. Knowledge of PLC programming would be a strong advantage.

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

• Research into novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Working with a team of scientists and engineers to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• 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 communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is needed

Job Requirement:

• PhD degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls and/or automation.
• Fresh Graduates with strong fundamentals in controls and IIOT are welcome. (For Senior Scientist) 5 years’ experience in research and leadership of R&D projects in the relevant area of expertise.
• Good track record of scientific publications in top journals or conferences
• Excellent technical presentation and writing skills
• Ability to develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others is a strong advantage
• 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 National Additive Manufacturing Innovation Cluster (NAMIC) was established on 1st October 2015, to be the collaborative partner in 3D printing technology creation and innovation through working with different industries, agencies and institutions to develop capabilities in additive manufacturing, innovate and accelerate additive manufacturing to increase Singapore"s global manufacturing competitiveness.

We are seeking a highly motivated and experienced individual to join our team at the NAMIC@Additive Innovation Centre (NAMIC@AIC) A*STAR Hub as the industry development manager. The AIC Hub aims to introduce A*STAR’s integrated additive manufacturing technology offerings that can benefit the industry, with the objective to increase collaboration with key industry partners. The collaborations are targeted to translate research into applications, promote pilot production and accelerate the adoption of additive manufacturing (AM) in Singapore.

Job Responsibilities:

• Develop, evaluate and implement the AIC Hub"s goals, objectives and activities related to translating technology and driving AM industrial business growth.
• Formulate and execute effective business strategy and industry engagement to promote AM technology, industrial and entrepreneurial growth efforts to accelerate adoption of AM in Singapore.
• Engage companies to understand industry needs and technology requirements, and to collate and document the industry intelligence for the AIC Hub.
• Organize industry sharing events such as seminars, roundtable discussions, workshops to outreach to the industry.
• Work with AIC Hub manager, other A*STAR Research Institutes (RI)s’ Industry Development Managers (or equivalent) to drive business strategies and industry contacts / needs for R&D projects, including pilot production projects for the AIC Hub.
• Work with AIC Hub manager to link up external enquiries with A*STAR RIs’ internal expertise and capabilities.
• Work with Marcomm on marketing strategies for AIC Hub.
• Work with NAMIC Cluster Lead Party (CLP) to follow up on potential companies, Institutes of Higher Learning (IHL) and start-ups for projects, license agreement, co-funding and standards development.
• Secure collaboration partnerships and projects to meet the AIC Hub’s outcome and KPIs.
• Develop and maintain good relationships with the partners and take charge of all business aspects in the on-going AIC Hub’s projects.

Job Requirements:

• Minimum a degree in Mechanical/Electrical/Biomedical/Materials/Chemical Engineering, Science or equivalent education from a recognized university with at least 5 years of relevant working experience in the industry in business development.
• Proven track record in sales and marketing in additive manufacturing. Demonstrated ability to follow up with industry inquires, negotiate business terms & pricing with customers and secure industry projects.
• Proven track record in fostering collaborations between industry, IHLs and/or public sector RIs.
• Proven ability to organise marketing and industry outreach activities to generate industry interest, grow project pipeline and secure industry projects.
• Experience in managing intellectual property and technology translation.
• Experience and knowledge in additive manufacturing trends, entire workflow for additive manufacturing industrialization and engineering product development will be prioritized.
• A self-starter with strong networking and collaboration skills.
• A strong communicator with good written, presentation and oral communication skills. A strategic thinker and problem-solver with an innovation mindset.
• Ability to work independently and effectively in a team, in a dynamic R&D environment.
• Strong relationship management skills with an outgoing and pleasant personality.
• Willing to take on required tasks beyond the job description.

Job Description

The National Additive Manufacturing Innovation Cluster (NAMIC) was established on 1st October 2015, to be the collaborative partner in 3D printing technology creation and innovation through working with different industries, agencies and institutions to develop capabilities in additive manufacturing, innovate and accelerate additive manufacturing to increase Singapore"s global manufacturing competitiveness.

We are seeking a highly motivated and experienced individual to join our team at the NAMIC@Additive Innovation Centre (NAMIC@AIC) A*STAR Hub as the industry development manager. The AIC Hub aims to introduce A*STAR’s integrated additive manufacturing technology offerings that can benefit the industry, with the objective to increase collaboration with key industry partners. The collaborations are targeted to translate research into applications, promote pilot production and accelerate the adoption of additive manufacturing (AM) in Singapore.

Job Responsibilities:

• Develop, evaluate and implement the AIC Hub"s goals, objectives and activities related to translating technology and driving AM industrial business growth.
• Formulate and execute effective business strategy and industry engagement to promote AM technology, industrial and entrepreneurial growth efforts to accelerate adoption of AM in Singapore.
• Engage companies to understand industry needs and technology requirements, and to collate and document the industry intelligence for the AIC Hub.
• Organize industry sharing events such as seminars, roundtable discussions, workshops to outreach to the industry.
• Work with AIC Hub manager, other A*STAR Research Institutes (RI)s’ Industry Development Managers (or equivalent) to drive business strategies and industry contacts / needs for R&D projects, including pilot production projects for the AIC Hub.
• Work with AIC Hub manager to link up external enquiries with A*STAR RIs’ internal expertise and capabilities.
• Work with Marcomm on marketing strategies for AIC Hub.
• Work with NAMIC Cluster Lead Party (CLP) to follow up on potential companies, Institutes of Higher Learning (IHL) and start-ups for projects, license agreement, co-funding and standards development.
• Secure collaboration partnerships and projects to meet the AIC Hub’s outcome and KPIs.
• Develop and maintain good relationships with the partners and take charge of all business aspects in the on-going AIC Hub’s projects.

Job Requirements:

• Minimum a degree in Mechanical/Electrical/Biomedical/Materials/Chemical Engineering, Science or equivalent education from a recognized university with at least 5 years of relevant working experience in the industry in business development.
• Proven track record in sales and marketing in additive manufacturing. Demonstrated ability to follow up with industry inquires, negotiate business terms & pricing with customers and secure industry projects.
• Proven track record in fostering collaborations between industry, IHLs and/or public sector RIs.
• Proven ability to organise marketing and industry outreach activities to generate industry interest, grow project pipeline and secure industry projects.
• Experience in managing intellectual property and technology translation.
• Experience and knowledge in additive manufacturing trends, entire workflow for additive manufacturing industrialization and engineering product development will be prioritized.
• A self-starter with strong networking and collaboration skills.
• A strong communicator with good written, presentation and oral communication skills. A strategic thinker and problem-solver with an innovation mindset.
• Ability to work independently and effectively in a team, in a dynamic R&D environment.
• Strong relationship management skills with an outgoing and pleasant personality.
• Willing to take on required tasks beyond the job description.

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