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An innovative firm is seeking a motivated Research Engineer to develop AI-based digital technologies for predictive analytics. In this role, you will collaborate with a multidisciplinary team to tackle industry challenges and create impactful solutions in the Cyber-Physical Production System domain. Your expertise in machine learning and strong communication skills will be vital as you engage with industry partners, contributing to cutting-edge research that drives technology transfer and enhances autonomous manufacturing. Join a forward-thinking organization where your contributions can shape the future of digital manufacturing.
Research Engineer/Senior Research Engineer [Digital Manufacturing Division (DMD) / Cyber-Physical Production System (CPPS)], SIMTech
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.
Candidateswith 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