The School of Mechanical Aerospace Engineering (MAE) invites applications for the position of Research Fellow. Key Responsibilities: Software Simulation. Strong emphasis on using CFD and other tools to allow the team in selection and characterization of protein-based formulation for thermo-mechanical extrusion for 3D printing of food. To ensure compatibility between the 3D-printing process and the protein-based edible inks, the design of the extrusion system is accompanied by comprehensive computational fluid dynamics CFD methods. FEM simulation and numerical methods allow optimization of material-formulation with respect to material-process interaction to ensure high printing quality and material compatibility. Simulations reduce the number of experiments required during process optimization. CFD methods allow analyzing the fluid flow characteristics and printing profile in relation to the rheological properties of the printing formulations. Optimization of 3D-printer’s software and employment of Artificial Intelligence (AI) towards 3D printing optimization and performance characterization Sensors study for Food Production. Overall responsible for various sensors study in the food production system which includes in-line monitoring and treatment systems. In-line printing optimization is integrated within the developed 3D-printing system. Texture variation study using sensors for 3D-printing of food. Publication other Lab roles. To publish latest research findings in top journals and publications. Work closely with Co-Investigator in providing timely report for consortium. Managing equipment, supplies, and resources, including procurement and maintenance of lab equipment and replenish consumables required. Job Requirements: Doctorate degree in Mechanical Engineering or equivalent Exceptional CFD and FEM, sensors related and problem solving skills. Capable of working independently and within a team, while supervising other undergraduate and masters students working on their projects on related areas. Can communicate and present technically complex issues to multidisciplinary/multinational teams. Have a good engineering sense and aptitude. Have outstanding team management and leadership skills Experience in simulation work for 3D printing of food and sensors related work on food industry Fluent in use of CFD, FEM for simulation Strong publication record and demonstrators on candidate’s experience in the field Practical and hands-on, active self-learner and able to pay close attention to detail. Proficiency in English and verbal communication, have strong work ethic and can work independently and comfortably in a multidisciplinary environment. We regret that only shortlisted candidates will be notified. Hiring Institution: NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources. For more information, visit www.ntu.edu.sg About NIE About RSIS About LKCMedicine About NTUItive