PhD Position Data-driven Additive Manufacturing

28 Mar 2024
Job Information

Organisation/Company

Delft University of Technology (TU Delft)

Research Field

Technology

Researcher Profile

First Stage Researcher (R1)

Country

Netherlands

Application Deadline

24 Apr 2024 - 21:59 (UTC)

Type of Contract

Temporary

Job Status

Not Applicable

Hours Per Week

40.0

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

The NXTGEN Hightech program aims to accelerate the development of innovative new equipment and technologies. Responding to the future needs for sustainable mobility, rapid thermoplastic composite processes that can be applied in digital micro-factories powered by increased automation technology will be developed. Here, we focus on zero-defect manufacturing processes for resilient and adaptable data-driven additive manufacturing. We will work with CEAD who have developed an additive manufacturing process combined with fibre reinforcement to drastically enhance the properties of very large printed structures. To fully exploit its potential, there is a need for data science to enable precise monitoring and control of printing processes.

In this project you will develop a data driven approach to model the thermomechanical physics during a large scale additive manufacturing process. This will be achieved through sensor fusion, computer vision and data-driven tools to develop a digital twin of the fabrication process. You will implement reinforcement learning methods and/or graph based neural-networks incorporating process, thermal and optical data to predict the local and global material properties on-the-fly. Within the project we aim to monitor and interact with the printing process in real time. You will work alongside a postdoctoral researcher that will focus on computational design of 3D reinforced printed structures.

Requirements
Specific Requirements

• You hold a masters degree in a natural sciences or engineering discipline, with your thesis preferably focused on AI, physics informed processing, additive manufacturing or a related discipline.
• You are creative and proficient in programming.
• You enjoy pioneering new ideas, linking results with physical experiments and thrive in an interactive, collaborative research environment.
• You have good English communication skills and a strong drive for academic excellence. Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements .

Additional Information
Benefits

Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2770 per month in the first year to € 3539 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants, TU Delft has the Coming to Delft Service . This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network.

Selection process

A pre-employment screening can be part of the selection procedure.

Additional comments

Are you interested in this vacancy? Please apply no later than 24 April 2024 via the application button and upload:

• A cover letter (up to one page).
• A detailed CV (up to two pages).
• BSc and MSc Transcripts.
• Master thesis & scientific papers that you have written in English.

For questions about this vacancy, please contact K. Masania [email protected] .

Please note:

• Applying for an exemption for specific research and educational areas might be a part of the selection procedure for this vacancy. This exemption must be obtained from the Ministry of Education, Culture and Science (OCW) before an employment contract is agreed upon. Click here for more information.
• You can apply online. We will not process applications sent by email and/or post.
• Please do not contact us for unsolicited services.

Website for additional job details

https://www.academictransfer.com/339610/

Work Location(s)

Number of offers available

1

Company/Institute

Delft University of Technology

Country

Netherlands

City

Delft

Postal Code

2628 CD

Street

Mekelweg 2

Geofield

Where to apply

Website

https://www.academictransfer.com/en/339610/phd-position-data-driven-additive-ma…

Contact

City

Delft

Website

http://www.tudelft.nl/

Street

Mekelweg 2

Postal Code

2628 CD

STATUS: EXPIRED