NTI-NTU Corporate Laboratory is a collaboration between Nanofilm Technologies International Limited (“Nanofilm”, “NTI”), Nanyang Technological University (“NTU”) and supported by Singapore under RIE2025. The Laboratory’s objective is to propel Innovation and Technologies commercialisation through NTU’s innovation and NTI’s deep technology. NTI-NTU Corporate Laboratory aligns with Singapore’s RIE2025 handbook – which emphasises the nation’s commitment to research and innovation, aiming to drive economic growth and address national challenges.

The Nanyang Technological University NTI-NTU Corporate Laboratory is seeking to hire a Senior Research Fellow. The selected candidate will innovate in semiconductor packaging, focusing on metallization and wafer packaging.

Key Responsibilities:

• Optimize plasma-enhanced metallization, vacuum coating processes, and leading R&D efforts in material science for device performance enhancement.

• Drive the development and implementation of advanced metallization techniques.

• Propose relevant vacuum coating solutions, conducting plasma simulations to refine processes.

• Oversee the transition from experimental designs to scalable solutions.

• Additionally, the role requires preparation and delivery of comprehensive reports to satisfy the stipulations of funding entities and corporate mandates.

Job Requirements:

• Ph.D. in a relevant engineering or science discipline is required.

• At least ten years of specialized post-doctoral experience.

• Expertise in plasma simulations (ANSYS, COMSOL) and a strong track record of research publications and successful grant applications are essential.

• Applicants must demonstrate effective collaboration skills in multidisciplinary settings.

We regret that only shortlisted candidates will be notified.

• Oversee maintenance and instrumentation activities in manufacturing plants to ensure safe and smooth operations.
• Coordinate and execute major field maintenance projects, prioritizing worker safety and facility integrity.
• Liaise with internal and external stakeholders to coordinate maintenance activities, ensuring timely completion and minimal disruption to plant operations.
• Conduct instrumentation application studies and modify plant facilities to align with technical specifications and business requirements.
• Conduct training sessions for staff and contractors to enhance their skills and competencies.
• Implement management systems based on ISO 9001, ISO 14001, and SS506 standards.

• Bachelor's degree in Electrical Engineering with a focus on Power/Energy Modules.
• Basic knowledge of programmable logic controllers (PLC) and human-machine interfaces (HMI) is advantageous
• Strong analytical and problem-solving skills.
• Ability to communicate effectively with staff across different functions and contractors. A spirit of collaboration and teamwork is essential.

Interested candidates are invited to forward their CVs in MS Word format to [email protected]

Reg No: R1875181

Triton AI Pte Ltd

License No: 21C0661

• Permanent position, Salary up to $5,500 + AWS + bonus
• Jurong Island, Singapore (Transport provided at designated point)

The Institute for Digital Molecular Analytics and Science (IDMxS) invites applications for the position of Research Fellow.

Polarisation variations in a focused beam are not restricted by the traditional diffraction limit and superoscillatory, i.e. very high spatial frequency, variations are possible. Engineering of focused polarisation structures can be achieved, for example, through wavefront shaping and polarisation control of incident beams. Illumination of proteins or other small bioparticles with such superoscillatory polarisation structured light offers opportunities in detection of conformational changes or nano-displacements which can observed with high sensitivity in polarisation space, even though there is no observable variation in the intensity domain. In this project we seek to determine optimal polarisation structures and determine expected sensitivity through analytic and computational means. Viability of experimental detection will be assessed and potentially pursued.

Key Responsibilities: 

• Analytically and computationally model polarisation structure of focused light.

• Rigorously model electromagnetic scattering from complex proteins and bioparticles/molecules

• Optimise proposed scheme to enhance sensitivity to particle displacements and conformational variations

• Establish quantitative particle analysis techniques exploiting polarisation engineering

• Assess experimental feasibility and establish tolerance limits

• Build experimental setup and perform associated experiments for detection of nanodisplacements and conformational changes

• Disseminate results through publication in top-tier journals and conference presentations

• Contribute to research administration and assist in grant writing as required

• Supervise PhD and undergraduate student projects as required

Job Requirements: 

• PhD Degree in Physics/Engineering or related disciplines

• Active and strong theoretical and experimental knowledge of optical polarization, single particle dynamics and detection

• Experience in optical beam engineering and wavefront shaping

• Knowledge of optical scattering and biomolecular kinetics would be helpful

• Good writing and communication skills

We regret that only shortlisted candidates will be notified.

The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Associate.

 
Key Responsibilities: 

• Work on human-like traffic simulation, with the focus of modeling traffic behaviors from large-scale real-world datasets.​

• The work will involve traffic scene representation, behavior modeling with common sense and prediction, generating road layouts, initializing states of traffic agents, rendering in physical simulators, and experimental validation.

Job Requirements: 

• At least have a Masters Degree in Mechanical Engineering, Robotics, Mechatronics, Automation and Control Engineering, Artificial Intelligence (AI), etc.

• Relevant working experience will be preferred.

• Strong background in autonomous driving, simulator, AI, and automation.

• Good communication skills and the ability to work independently and facilitate projects with minimal supervisiont

• Able to contribute to Journal/Conference papers with good presentation skills

• Able to plan and organize well and adhere to deadlines.

We regret that only shortlisted candidates will be notified.

• Internships are designed to introduce and build essential, hands on skills that differ from those attained in the academic arena and help to enhance the transition from student to professional. 
• Interns are assigned duties that will provide a broad, well-rounded learning experience within their field of study
• Intern 1 – completion of first year of qualified study