The post-doc position will perform research and development work on geometric modeling and computer-aided design technologies, as applied to design for additive manufacturing (DFAM). Research on geometric modeling and reasoning, structural and topology optimization, and computational materials design are all of interest. Metal materials are of primary interest. In addition to software development and good programming skills, the candidate should have experience in some or all of the following subjects: geometric modeling, mechanical design, CAD, AM, computational mechanics, finite element analysis, and structural or topology optimization.
The post doc position will perform research in engineering design processes that focus on product families and product-service systems. This position is part of a large project on digital design for the circular economy, so interests in sustainability are a plus. Smart products should be designed for multiple life-cycles in this project. Engineering design methodology and computational design methods will be pursued. Candidates should have experience in engineering design methodology, computational design, product-service system design, and computer-aided design.
The post doc position will perform research and development on digital twin technology to support engineering product design research. This position is part of a large project on digital design for the circular economy, so interests in sustainability are a plus. Digital twins are expected to incorporate physics-based models of performance and models of their usage contexts. Methods to automatically generate such physics-based models will be developed. A significant research issue is how to integrate physics model results with the sensor data that streams from the physical device; that is, sensor fusion technology will be developed to integrate the physics model with sensor data. Candidates should have experience in software development, digital twin technology, and engineering modeling.
Interested applicants please send your CV to Prof David Rosen at david_rosen[AT]sutd.edu.sg with a subject title – “Research Fellow for DManD”.
We regret that only shortlisted candidates will be notified.