Benefits at a glance

  • Value: Get up to four years PhD scholarship worth S$260,000, inclusive of monthly stipends and tuition fees.
  • Teaching Opportunities: Upon confirmation of PhD candidature, students on scholarships will be engaged in teaching duties. It will add value to their curriculum vitae, and provide valuable exposure and experience for those who wish to pursue an academic career subsequently
  • Conference Support: Financial support will be provided to students to present their research findings at international and local conferences,subject to good progress and existing guidelines
  • Overseas Attachments: Attachments at reputable overseas universities/institutions are available for selected students
  • For more information about scholarships, please click here
  • For admission requirements to the PhD programmes, please click here

NTU Research Scholarships 

The NTU Research Scholarship is awarded to outstanding graduate students for research leading to a higher degree at the University. The Scholarship consists of a monthly stipend plus a tuition fee subsidy. Details available here.

Project 1:  Microstructure control in metal additive manufacturing

Supervisor: Assistant Professor Matteo Seita

Interested applicants, please contact Assistant Professor Matteo Seita  at MSEITA@NTU.EDU.SG.

Project 2: Dynamical responses of 3D printed structures with topological optimisation in UAVs

Supervisor: Assistant Professor Ng Bing Feng

Project will investigate the structural flexibility of 3D printed parts in UAVs, focusing on topological optimisation to improve on structural performances. Project will involve both experimental and numerical studies with wind tunnel testing of 3D printed parts to understand the behaviour of 3D printed structures in fluid-structure-interaction (FSI). The student will also be involved in numerical analysis and topological layout of the structures to investigate the optimum design parameters.

The student should possess a relevant engineering degree with strong interest in 3D printing, UAVs or FSI.

Interested applicants, please contact Assistant Professor Ng Bing Feng at BINGFENG@NTU.EDU.SG .

Project 3: 3D printing of hierarchical composites

Supervisor: Dr Hortense Le Ferrand


Composite materials may be used as lightweight replacement but often lack the mechanical and functional response of the structure they replace. Also, traditional long fiber composite materials do not allow for the variety of shapes required form most applications. By using 3DP of particulate suspensions, supplemented by external forces such as vibration, electric or magnetic fields, composite materials with intricate shapes and expected properties are aimed to be fabricated. Orienting or positioning the particles into a hierarchical structure could combine the structural and functional response desired.

The scope of the PhD thesis will tackle both manufacturing and characterization.


Background in materials science or in mechanics is required, with interest in some of the following areas: colloidal science, rheology, magnetic fields, microscopy, fracture mechanics, bio-inspiration and robotics.

The candidate should be able to work in an inter-disciplinary environment and be enthusiast for learning and developing new skills.

Interested applicants, please contact Dr Hortense Le Ferrand  at

Application Procedure:
Interested applicants please send your full CV to the PI directly.
The CV should include education, experience, interests and the names and contacts of 2 referees.

Project 4: Vision feedback on freeform-shaped structure 3D printing

Supervisor: Associate Professor Tegoeh Tjahjowidodo


Printing a complex wall with a passive system might result in uneven surfaces, which is due to the rheology of the concrete mixture as thixotropic fluid. Wall printing with a rectangular orifice nozzle does not consequently result in a rectangular extrudate shape. In order to adjust the resulting extrudate shape, a smart variable orifice nozzle that can change its outlet shape to adapt for different wall profile requirements, e.g. walls with different slanted angles as in a dome, has been developed. A constituted nozzle-extrudate shape relationship has also been formulated using neural-network approaches and preliminary results have shown potential implementations.

However, concrete printing by nature is a complex process. The extrudate shape does not depend only on the orifice shape but also on tons of other parameters, including the concrete mixture composition, material flows and time. Slight variations on the parameters to those from where the nozzle-extrudate shape relationship were established might cause unexpected changes on the resulting extrudate shape. This leads to the requirement of a feedback loop to adjust the deviation to the wall profile. One potential approach is by using vision feedback, where the resulting wall profiles during the printing process is visually monitored using a computer vision approach and any deviations from the wall profile references will be corrected through the adjustable orifice nozzle. As a result, the complete system is expected to be able to print any complex wall structures, e.g. complex shape walls or dome, with acceptable surface profile quality.


Mechanical/mechatronics student with strong background in control and machine/deep learning.

Project 5: Investigating the flow of cementitious material for 3D printing of concrete

Supervisor: Associate Professor Wong Teck Neng


Application of 3D printing in the building and construction industry has generated vast interest due to its remarkable advantages: cost effective, time efficient, provides freedom for complex designs and potentially reduce labour, making it one of the most promising technology for this labour intensive industry. In the 3D cementitious material printing process, material pumpability and buildability is crucial in ensuring the printed layers have enough strength to support itself. Only with the appropriate pumpability and buildability, the cementitious material can then be transported in the delivery system smoothly and be deposited layer by layer firmly. The research aims to investigate the flow and rheology behaviour of spray-based /extruded cementitious material for the 3D printing of concrete, through systematic experiment and theoretical modelling.

Project 6: 3D food printing for personalised food

Supervisor: Associate Professor Yeong Wai Yee


3D printing of soft materials can be used to advance new technologies in food sciences for personalized food development. New research are now possible in term of creating new texture, microstructure, nutrient level and other dimension in food. The research is directly relevant to the aging population in search of new food sciences and technologies.