Open positions

Join Us to Explore the Digital Future of Design and Manufacturing

I-DMD embraces the best talents for exciting projects. Please read this page carefully for opening position application process details and policies, as well as available positions to-date. We greatly appreciate your interest and look forward to hearing from you!

What will you do?

Graduate students at I-DMD work on cutting-edge topics in the multidisciplinary research field and receive significant training on the cutting-edge digital design and manufacturing tools, various AM technologies, software programming and Artificial Intelligence (AI) skills,  lattice and other multiscale smart functional materials. Students will also gain rich hands-on experience during the development of a new smart additive manufacturing process, which enables the fabrication of the next generation of digital functional composites. Close collaborations with faculty members and industrial companies from different fields will broaden the student's vision and make them ready for the upcoming fourth industrial revolution.

Application process

I-DMD actively seeks self-motivated graduate students, postdocs, and visiting students/scholars for a wide range of research projects aforementioned above. Undergraduate students for thesis, Final Year Project, or study break research are also welcomed. To apply for the open positions, please contact Dr. Tang by email (yunlong.tang1@monash.edu). Please provide the following information about your candidacy, and note that inquiries without any of these components will NOT be answered.

  1. Specify the area(s) and the position (undergraduate, master, Ph.D., or postdoc) you are interested in;
  2. Briefly summarize your previous research experience relevant to the position you are applying for;
  3. Indicate any external financial support/scholarship you will hold;
  4. Attach a detailed CV, including undergraduate and graduate WAM(Weighted Average Marks), research experience, expertise, and a list of publications.

The detailed introduction on how to calculate WAM can be found from the following website

https://www.monash.edu/exams/results/wam/calculator

Financial support

Students can be supported by the central scholarship from Monash University. Which will normally cover students' tuition fees as well as living expenses during the study at Monash University. For the detailed information on the scholarship, you can check the following website:

https://www.monash.edu/study/fees-scholarships/scholarships/find-a-scholarship/monash-graduate-scholarship-mgs

Besides the central scholarship from Monash, students can also be supported by a wide range of other scholarships such as Monash-CSC joint scholarship details. For more information you can check the following website:

https://www.monash.edu/graduate-research/future-students/scholarships

Open Research Topics

Additively Design and Fabrication of Multiscale Functional Composites and Structures

In this project, a new hybrid additive manufacturing process will be developed. In the developed process, multi types of material can be fabricated on different design scales in a single part. It enables us to develop a new type of smart digital composite material. The properties of the fabricated materials can be controlled by the external signal. The newly developed materials and fabrication process can be used for a wide range of applications such as soft-robots and wearable electronics. Students with mechanical and material engineering backgrounds are welcome to apply (Multiple Ph.D. students needed)

Digital Twin for Additive Manufacturing

This project focuses on the development of DfAM tools which can guide designers to further take advantage of AM technologies. Specific DfAM tools targeted in this project are:

  1. AI aided parts selection and manufacturability evaluation for AM (1 PhD student needed)
  2. Integrated materials, geometry, and process design for AM (1 PhD student needed)
  3. Design and process planning for multiscale lattice structures fabricated by AM (1 PhD student needed)

Digital Twin for Additive Manufacturing

This project aims to develop a digital twin model of the additive manufacturing process. In the developed digital twin, a set of sensors will be used to collect data from the working AM machine. Based on the collected data and data-driven surrogate model, the virtual twin of a physical fabrication process will be built. The virtual twin can be used to detect the printing failure and further optimize the additive manufacturing processes. (1 PhD needed)

Smart human-machine collaborative manufacturing system

This project will be hosted at digital twin lab of Monash Smart Manufacturing Hub. It aims to develop the next generation of smart plant with advanced smart human-machine/robots collaborations. Wide range of sensors are installed in the lab and can provide real time data on machine, workers as well as the manufacturing environment. The aim of this project is to develop smart algorithms that can take advantages of data from real production line as well as virtual simulation to support smart production planning scheduling, intelligent human-machine collaborations for complex task, autonomous mobile robots task planning. Multiple PhD students are needed and each student will work on one specific project.