Additive manufacturing (AM) or 3D Printing (as it is popularly referred to) has been the topic of intense study both in the academia and the industry, given its potential to manufacture complex shapes that are highly customized to the user at lower cost, with less material wastage, bringing manufacturing to the door step of the end consumer. It is perceived to have a huge potential not only for consumer products but also for niche applications in healthcare (organ printing, bone / tissue replacements), aerospace, satellites and much more. While there has been plenty of activity on exploring different materials and different process technologies for enhancing the diversity of additive manufacturing, focus on quality control, variance reduction and uncertainty quantification for improved control of 3D printed product quality and reliability has been limited.
We intend to recruit a post-doctoral fellow with expertise in statistical modeling and additive manufacturing experience to work on the implementation of uncertainty quantification tools and techniques to examine the impact of process parameter variations on the mechanical performance of the additively manufactured product forming a complete link between the process – structure – property relationships.
The scope of the project will involve the extensive use of statistical inference algorithms and surrogate modeling approaches such as Bayesian methods, Markov Chain Monte Carlo (MCMC), Gaussian Process Regression (GPR) and Kinetic Monte Carlo (KMC) simulations.
Suitable candidates, with Ph.D. from a good university, should have sufficient expertise in statistical modeling and simulations. Knowledge on additive manufacturing would be a big plus. Please send in your CV and relevant publications to Asst. Prof. Nagarajan Raghavan by e-mail at email@example.com with a subject title – "Post-Doc Application – UQ in AM".
This position is fixed-term for a period of 24 months, with an option for extension later. Singapore is one of the few developed countries with a very low income tax and, typically, a Postdoctoral Fellow pays an income tax of 11.5% (up to a maximum of 15%). The project is funded by the SUTD Digital Manufacturing and Design (DManD) Center and will involve active research collaboration with several other faculty within the university.
About SUTD (http://www.sutd.edu.sg) – The Singapore University of Technology and Design (SUTD) is the 4th University in Singapore, founded in collaboration with MIT in 2009. SUTD aims to become the center and stronghold of global research and breakthroughs through creative technical research and education anchored in design within a multi-disciplinary approach.