PhD on Hybrid AI for Real-Time Control of Additive Manufacturing
PhD on Hybrid AI for Real-Time Control of Additive Manufacturing
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Job Description
Departments Department of Industrial Engineering & Innovation Sciences
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
The Industrial Engineering & Innovation Sciences (IE&IS) department combines disciplinary knowledge from the humanities social sciences and technical sciences to solve the complex problems of industries and society. We collaboratively focus on and create responsible and effective innovations for the research themes: Humans and Technology Supply Chain Management Sustainability and Circularity and Value of Data-Driven Intelligence.
Introduction
Are you passionate about the future of circular manufacturing and intelligent quality control Join us to develop AI-powered frameworks that improve real-time decision-making in additive remanufacturing. Help shape the future of sustainable high-performance production.
Job Description
Additive manufacturing (AM) is transforming industrial production by enabling the creation of lightweight customized and sustainable components. However ensuring consistent quality in AM-based remanufacturing remains a critical challenge. The process involves complex nonlinear and partially observable dynamics and current quality control practices are often fragmented and reactive. To move towards a more reliable and circular manufacturing approach we need intelligent quality control systems that can adapt in real time and handle uncertainty. Artificial Intelligence (AI) may be of critical help here.
This PhD project aims to develop a hybrid AI framework for quality control in AM-based remanufacturing. You will explore how to combine data-driven and model-based approaches to assess the quality of returned parts monitor in-process performance in real time and support intelligent decisions on remanufacturing actions. The focus is on creating an integrated quality control system that adapts to uncertainty and enables continuous process improvement.
The research is part of the national Add-reAM project which supports the Dutch circular economy by advancing AM-based repair and remanufacturing. You will be embedded in the Operations Planning Accounting and Control (OPAC) group within the Department of Industrial Engineering and Innovation Sciences (IE&IS) at Eindhoven University of Technology (TU/e) and collaborate with a multidisciplinary consortium of academic industrial and other partners working on the future of sustainable manufacturing.
Job Requirements
We are looking for a candidate who meets the following requirements:
- A Masters degree in Mechanical Engineering Industrial Engineering Systems & Control or a related field.
- A strong interest in AI for manufacturing quality control or optimization.
- Solid programming skills (e.g. Python MATLAB).
- Experience with simulation modelling or finite element analysis (FEA) is a strong plus.
- Affinity with data-driven decision-making real-time systems or additive manufacturing is a plus.
- Ability to work in an interdisciplinary team and interested in collaborating with industrial partners.
- A research-oriented attitude and ability to work independently.
- Strong communication and collaboration skills.
- Fluent in spoken and written English (C1 level).
Conditions of Employment
A meaningful job in a dynamic and ambitious university in an interdisciplinary setting and within an international network. You will work on a beautiful green campus within walking distance of the central train addition we offer you:
- Full-time employment for four years with an intermediate assessment after nine months. You will spend a minimum of 10% of your four-year employment on teaching tasks with a maximum of 15% per year of your employment.
- Salary and benefits (such as a pension scheme paid pregnancy and maternity leave partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities scale P (min. 3059 max. 3881).
- A year-end bonus of 8.3% and annual vacation pay of 8%.
- High-quality training programs and other support to grow into a self-aware autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
- An excellent technical infrastructure on-campus childrens day care and sports facilities.
- An allowance for commuting working from home and internet costs.
- A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.
Information
Do you recognize yourself in this profile and would you like to know more Please contact the intended supervisors of the PhD position dr. Mehrdad Mohammadi () or . Rob Basten ().
Visit our website for more information about the application process or the conditions of employment. You can also contact HR Services ().
Are you inspired and would like to know more about working at TU/e Please visit our career page.
Application
We invite you to submit a complete application by using the apply now button. The application should include the following documents (preferably) as a single PDF file:
- Cover letter in which you describe your motivation and qualifications for the position.
- Curriculum vitae (CV) including a list of your publications and the contact information of three references.
- Copies of diplomas and academic transcripts with grades from prior university studies.
- Brief description (max 1000 words) of your MSc thesis and/or relevant research projects.
- Research Proposal (max 1500 words) in which you present your approach to the research topic including initial ideas and potential methodologies.
We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.
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Employment Type
Full-Time
