Research Fellow (Fluidic Robotics)

NANYANG TECHNOLOGICAL UNIVERSITY; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

Une école prestigieuse recherche un Research Fellow pour mener des recherches sur le design et la fabrication de robots fluidiques souples. Ce poste exige des compétences en simulation numérique, design génératif, et engagement dans des projets de recherche d'application médicale. Les candidats doivent avoir un doctorat en ingénierie ou dans des domaines associés, et posséder une solide compréhension des méthodologies de recherche.

Qualifications

• PhD requis en ingénierie mécanique, en intelligence artificielle ou dans un domaine connexe.
• Expertise en simulation numérique de systèmes multiphysiques, surtout des problèmes fluidiques.
• Expérience avec le design génératif de structures robotiques.

Responsibilities

• Effectuer des simulations numériques pour résoudre des problèmes d'interaction fluide-solide.
• Optimisation de design, surtout par design génératif basé sur l'IA.
• Collaborer avec des intervenants internes et externes sur des projets de robotique douce.

Skills

Numerical Simulation

Fluidic Robotics Design

Generative Design

Data Analysis

Effective Communication

Research Methodologies

Education

PhD in Mechanical Engineering or related fields

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 nation’s long-term development strategies. In 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.

For more details, please view https://www.ntu.edu.sg/mae/research.

The School of Mechanical and Aerospace Engineering (MAE) is seeking to hire a Research Fellow to support the research on design and manufacturing of soft fluidic catheter robotics. This role will propose novel design of soft robotic materials and structures driven by the fluidic environment. Experiments will be carried out to validate performance and behaviour of the novel fluidic robotic designs. We are seeking the soft robotics that works in the fluidic environment and enables long-distance move for potential application like drug delivery.

Key Responsibilities:

The Research Fellow 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 fluid-solid-interaction problems
• Perform design optimization, especially AI-based generative design
• Master domain expertise of fluidic and/or pneumatic robotics design and manufacturing
• Collaborate with internal and external stakeholder on soft robotics with medical applications
• 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
• Mentoring PhD and thesis-based master students
• Assist in grant proposal applications.

Job Requirements:

Required educational qualification, experience, skills and competencies for this position:

• PhD 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 fluidic problems
• Expertise in generative design of compliant robotic structures
• 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 English speaking and writing for research work
• Strong publication track record is an advantage for this position

We regret to inform that only shortlisted candidates will be notified.