Scientist, AI for Robotic Systems

Responsibilities

• Research on state of the art algorithms, technologies and tools, evaluate and compare pros and cons, and make recommendations; contribute to smart robotic and automation system development projects
• Discuss with stakeholders to clearly understand their needs, problem statements, constraints and expectations
• Propose new concepts, design and develop new algorithms and software modules in the area of autonomous manufacturing, human-centric intelligent automation systems, reconfigurable robotic systems etc.
• Work with team in validating using virtual models, simulations, physical prototypes and preparing demonstrators
• Review current roadmap, identify new research directions, generate proposals for new projects / grants
• Prepare detailed technical documentation of projects and make presentations to a diverse audience
• Prepare detailed scientific papers and documents on intellectual property (IP) / technology disclosure

Requirements

• PhD degree in AI / Computer Science, or related Engineering disciplines (such as Mechanical, Electrical, Electronics, Computer, Aerospace, Automation Engineering) with focus on optimization, machine learning, robotics, autonomous systems, cyber-physical systems etc.
• 2 years experience in R&D projects in their relevant area of expertise
• Strong basics in computing, data science, and AI applications related to robotic or autonomous physical systems or industry-relevant problems are also welcome
• Programming skills: Python, C/C++ in developing data analysis, optimization and machine learning algorithms and applications
• Good track record of scientific publications in top journals or conferences, and/or patents
• Strong problem solving and analysis skills, technical documentation and presentation skills
• -Practical knowledge in applying Generative AI, Reinforcement Learning etc. will be a strong plus
• -Experience in systems-level modelling and simulation will be a plus (e.g., Simulink)
• Relevant industry project experience (before or after PhD) will be a plus