Total 17 system technician job vacancies in Islandwide

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary 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:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding 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:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• 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:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary 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:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding 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:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply.
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• 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 senior research engineer or lead research engineer to lead and conduct R&D 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, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand 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 an advantage

Job Requirement:

• Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation
• 1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer).
• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others.
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• 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:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary 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:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding 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:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• 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:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary 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:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding 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:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply.
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• 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:

The CPPS group is seeking a highly motivated senior research engineer or lead research engineer to lead and conduct R&D 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, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand 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 an advantage

Job Requirement:

• Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation
• 1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer).
• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others.
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• 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

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 CPPS group is seeking a highly motivated senior research engineer or lead research engineer to lead and conduct R&D 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, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand 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 an advantage

Job Requirement:

Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation

1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer)

• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• 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 senior research engineer or lead research engineer to lead and conduct R&D 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, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand 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 an advantage

Job Requirement:

Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation

1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer)

• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• 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

The MedTech Catapult has a dedicated objective of curating and accelerating the development of high potential MedTech projects through an in-house product engineering unit. This productization unit is responsible for supporting the development of technologies through the medical device development cycle to produce full-fledged hardware product systems. The Senior System Engineer will report to the Principal Engineer.

Job Responsibilities:

• Support systems engineering efforts for complex medical solution
• Supporting and reporting on all phases of the product development and operations lifecycle including hardware assembly and integration, software builds, loads and updates, configuration control, requirements, design, and test execution.
• Collaborate with a diverse technical team to create, update, and maintain documentation that is or will become part of the product design history file (DHF).
• Support the development and maintenance of product specifications, requirements documents, hazards analysis documents, usability and V&V documentation, and other technical documentation.
• Conduct Risk Management activities to ensure that design and process shortcomings are identified and appropriately addressed. Perform Risk Analyses, including Fault Tree Analysis (FTA), Operator Misuse Analysis (OMA), and Failure Mode and Effects Analysis (FMEA) activities.
• Provide technical guidance for product design, development, integration, testing, and reliability improvements.
• Owns and drives resolution of design issues/defects
• Works with QA team to specify and document product tests for compliance to regulatory standards.
• Exercises judgment within defined procedures and practices to determine appropriate action.
• Write and review documentations for QMS.
• Design risk analysis, risk management, Verification and Validation procedures.
• Interface with external parties (design houses) to communicate product requirements, and subsequent knowledge transfer to build internal capability
• Supplier development
• To support other operational activities of the Programme Office

Requirements:

• Bachelor's degree in System Engineering, Electro-mechanical engineering or relevant degree in a related field
• >5 years experience in medical devices (e.g. hardware, connected devices) managing product design and development, with hands-on experience in system architecture and integration of mechatronic systems
• Extensive knowledge in software and system integration
• Experience managing QMS and proficient with GMP guidelines and regulations which include managing system verification and validation
• Good collaboration skills, organised and detailed
• Demonstrate strong interpersonal skills and leadership 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.