Multiple PhD’s in AI for Sustainable Manufacturing in the High-Tech Industry, Eindhoven University of Technology, the Netherlands
Eindhoven ,Netherlands The
- Posted Date: 07/11/2023
- Expires on: 07/16/2023
Are you passionate about AI technologies and digital twins? Are you driven to develop innovative AI algorithms and methods to enhance sustainability in industrial processes? Do you thrive on collaborating with high-tech companies to implement your research? If so, we have an exciting opportunity for you to join our AIMS5.0 project as a PhD candidate. We are seeking individuals with a background in operations research, mathematics, artificial intelligence, industrial engineering, mechanical engineering, or computer science.
These PhD positions are funded by the AIMS5.0 European project, which aims to revolutionize the manufacturing industry through the development of AI-enabled hardware and software components across the entire value chain. With 53 industrial and academic partners, the project focuses on enhancing overall efficiency and sustainability. As a PhD candidate at TUE, your role will be to develop AI-enabled planning and scheduling methods that can adapt to the ever-changing state of manufacturing processes and the supply chain. Our industrial partners have diverse use cases, such as resource-adaptive product specifications, optimized planning for supply chain bottlenecks, efficient manufacturing of customized products in small batches, and improved traceability and root cause analysis in incident management.
At TUE, we collaborate with the Computer Science and Industrial Engineering departments, offering three PhD positions and one Postdoc position. These two PhD positions are specifically within the Industrial Engineering department. Join our team and contribute to our exploration of complex factory process modelling and the application of AI methods to solve dynamic planning, scheduling, and optimization challenges in high-tech industrial systems.
As a member of the Operations Planning, Accounting & Control group, you will collaborate closely with researchers in various areas, including operations management, transportation, manufacturing operations, reliability and maintenance. Our group is dedicated to both teaching and conducting cutting-edge research, with strong ties to the industry.
If you are excited about pushing the boundaries of AI in the manufacturing industry, apply now to become part of our forward-thinking team. Together, we can drive sustainable innovation and shape the future of Industry 5.0.
A Master’s degree in Operations Research, Industrial Engineering, Operations Management, Applied Mathematics, Computer Science, or a related field.
Knowledge and experience with simulation, digital twin and machine learning techniques are highly appreciated.
Strong analytical and mathematical skills and demonstrated competence for quantitative modelling.
Workable knowledge of a programming language like Python and/or Java.
Affinity with the areas of smart manufacturing and digital factory.
A research oriented attitude.
Ability to work in a team and collaborate with the industrial partners in the project.
Excellent verbal and written communication skills in English.
Conditions of employment
A meaningful job in a dynamic and ambitious university with the possibility to present your work at international conferences.
A full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months.
To develop your teaching skills, you will spend 10% of your employment on teaching tasks.
To support you during your PhD and to prepare you for the rest of your career, you will make a Training and Supervision plan and you will have free access to a personal development program for PhD students (PROOF program).
A gross monthly salary and benefits (such as a pension scheme, pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labor Agreement for Dutch Universities.
Additionally, an annual holiday allowance of 8% of the yearly salary, plus a year-end allowance of 8.3% of the annual salary.
Should you come from abroad and comply with certain conditions, you can make use of the so-called ‘30% facility’, which permits you not to pay tax on 30% of your salary.
A broad package of fringe benefits, including an excellent technical infrastructure, moving expenses, and savings schemes.
Family-friendly initiatives are in place, such as an international spouse program, and excellent on-campus children day care and sports facilities.