Research Assistant (Acoustic Soft Robotics)
Research Assistant (Acoustic Soft Robotics)
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Job Description
The School of Mechanical & Aerospace Engineering (MAE) is a robust dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing aerospace biomedical energy industrial engineering maritime engineering robotics etc. The school is equipped with state-of-the-art research infrastructure housing a comprehensive range of cluster laboratories test bedding facilities research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nations long-term development the new era of industrial 4.0 and sustainable living MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research ranking amongst the top engineering schools in the world.
Key Responsibilities:
The Research Assistant will work on a cross-disciplinary project at the intersection of mechanics acoustics design optimization and advanced manufacturing. The key responsibilities of this position include:
Perform numerical simulation to solve structure-acoustic problems
Perform design optimization especially AI-based generative design
Master domain expertise of small-scale robotics design and manufacturing
Incorporate manufacturability concerns for 3D and 4D printing
Collaborate with internal and external stakeholder on soft robotics
Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers
Assist or produce high quality reports and documents that consolidate research findings
Job Requirements:
Required educational qualification experience skills and competencies for this position:
Bachelor in Mechanical Engineering Structural Engineering Civil Engineering Industrial Engineering Machine Learning Artificial Intelligence or related fields
Expertise in numerical simulation of multi-physics systems especially acoustic problems
Expertise in generative design of compliant robotic structures
Proficiency in basics of programming languages such as C Python and/or Matlab
Strong understanding of research methodologies data analysis and statistical techniques
Ability to work both independently and collaboratively within a team
Effective written and verbal communication skills with the ability to convey information collaborate and build relationship
Ability to produce technical content for publications and deliver informative presentations to diverse audience including students
Attention to details and a commitment to upholding ethical standards in all research activities
Passion in the field of research and a desire to contribute to meaningful projects
Proficiency in oral and written communication
Strong publication track record is an advantage for this position.
We regret to inform that only shortlisted candidates will be notified.
Hiring Institution: NTUEmployment Type
Full-Time
