PhD Scholarship in Computational Model-informed Design of Material Recycling for Additive Manufacturing
3 Jan 2024
Job Information
- Organisation/Company
University of Galway- Research Field
Engineering » Computer engineering- Researcher Profile
First Stage Researcher (R1)- Country
Ireland- Application Deadline
15 Feb 2024 - 17:00 (Europe/Dublin)- Type of Contract
Not Applicable- Job Status
Other- Hours Per Week
39- Offer Starting Date
1 Mar 2024- Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
Application(s) are invited from suitably qualified candidates for full-time funded PhD scholarship(s) starting in March 2024, affiliated to the Mechanical Engineering, School of Engineering, College of Science and Engineering at the University of Galway.
University of Galway
Located in the vibrant cultural city of Galway in the west of Ireland, the University of Galway has a distinguished reputation for teaching and research excellence
For information on moving to Ireland please see www.euraxess.ie
Detailed Project Description.
The project is funded by Science Foundation Ireland through the I-Form Research Centre for Advanced Manufacturing (https://www.i-form.ie/ ). The aim of the project is to deliver predictive modelling and process characterisation for recycling waste alloys in the scenario of additive manufacturing.
Additive manufacturing (AM) is an innovative advanced method of manufacturing, which deposits materials layer by layer to form 3-dimensional engineering components. As a fully automated method of net-shape manufacturing, it enables great design freedom and is particularly suitable for rapid prototyping and the manufacture of customer-tailored high value-added components. Considering the sustainable manufacturing and circular economy, there is high demand in reusing or recycling the waste materials in the context of AM.
In this project, the powder bed fusion laser beam (PBF_LB) AM is used as the background, and the target materials are titanium (Ti) alloys. Regarding the computational modelling research, a multi-physics physically based computational modelling will be developed to predict the interaction between the AM process and reuse/recycling of waste Ti alloys. The modelling results will be used to train a machine learning model for rapid calculation to facilitate data-informed decision on the design of material reuse/recycling process. A number of Ti alloy specimens will be printed. The material properties of the specimen will be experimentally characterised. The experimental results will be used as the inputs and for validation of the physically based computational models, and will be also used as the test set of the machine learning model.
This PhD project will focus primarily on the development of the physically-based computational model, machine learning model, testing and validation of the models, and related experimental research. The objective is to develop a computational tool kit, that can facilitate the design of material reuse/recycling process for the AM of Ti alloys. The project has close collaboration with other research groups of I-Form Centre. Particularly, Prof. David Browne from University College Dublin will co-supervise the PhD student.
The candidate is expected to have great ability of self-learning, have very good teamwork spirit and be self-motivated. The candidate should have great interest in computational modelling and computer programming as well as decent background in terms of materials engineering. The successful candidate will become a member of the I-Form Research Centre for Advance Manufacturing and have opportunity to take placement at Prof. Browne’s laboratory.
Living allowance (Stipend): €19,000 per annum
University fees: €5,500 per annum, [covered by the scholarship too separately]
Start date: 1st March, 2024
Academic Entry Requirements: 1st class or 2.1honours Bachelor’s or Master’s degree in Materials Engineering or Mechanical engineering or closely related discipline (e.g. Manufacturing Engineering or Biomedical Engineering or Materials Science). Candidates must possess excellent written and verbal communication skills in English and a strong passion and motivation for excellence in engineering research, with a view to publication, international conference presentations and collaborations. Candidates must also be motivated to work within a team to achieve overall project objectives.
Some specific requirements include:
- Knowledge of (and ideally experience with) computational modelling for science or engineering problems
- Knowledge of computer programming (using such as C++, Python etc.)
- Knowledge of material processing or manufacturing
- Knowledge of material testing/characterisation
- Problem-solving, critical thinking and troubleshooting skills.
To Apply for the Scholarship: Expressions of interest comprising submission of a covering letter, CV, statement of personal research interests, and the contact details of two referees, to be submitted via e-mail to [email protected]
Contact Name: Dr Mingming Tong
Contact Email: [email protected]
Application Deadline: 15th February, 2024 at 17:00 (Irish time 24hr format)
Requirements
- Research Field
- Engineering » Computer engineering
- Education Level
- Undergraduate
- Research Field
- Engineering » Computer engineering
Additional Information
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- University of Galway
- Country
- Ireland
- State/Province
- Galway
- City
- Galway City
- Geofield
Where to apply
[email protected]
Contact
- State/Province
Ireland- City
Galway- Website
https://www.universityofgalway.ie/- Street
University Road- Postal Code
H91 TK33
[email protected]
STATUS: EXPIRED