1. Vacatures
  2. Technische Universiteit Eindhoven
  3. Modular/Parametric Constraint-based Scheduling of Flexible Manufacturing Systems

Modular/Parametric Constraint-based Scheduling of Flexible Manufacturing Systems

The SAM-FMS (Scheduling Adaptive Modular Flexible Manufacturing Systems) project aims to deliver new scheduling and co-design methods for Flexible …

20 dagen geleden

Arbeidsvoorwaarden

Standplaats:
de Rondom, Eindhoven, Noord-Brabant
Dienstverband:
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
38 uur
Opleidingsniveau:
WO

Functieomschrijving

The SAM-FMS (Scheduling Adaptive Modular Flexible Manufacturing Systems) project aims to deliver new scheduling and co-design methods for Flexible Manufacturing Systems by pursuing model-driven constraint-based synthesis approaches based on flow-shop models of FMS. The methods will be developed jointly by Eindhoven University of Technology, Delft University of Technology, and Radboud University in close collaboration with Canon Production Printing (formerly Océ) and ESI (TNO). SAM-FMS is part of the public/private Mastering Complexity (MasCot) program.

The Electronic Systems (ES) group within the Department of Electrical Engineering of Eindhoven University of Technology (TU/e) offers a funded PhD position within the field of modular and parametric constraint-based scheduling of product flows in FMS, such as production printers, wafer scanners or automated warehouses. FMS are rapidly evolving in complex cyber-physical systems that interact with other systems and human operators in highly dynamic environments. Constraint models provide a unifying modeling, analysis and synthesis framework across disciplines relevant for the design and scheduling of FMS.

The successful candidate will explore a set of related questions: How to modularize constraint-based scheduling for modular FMS while ensuring schedule performance? Is it possible to parameterize schedule performance and cost in terms of critical design parameters? Can scheduling and/or schedules be parameterized? How to ensure good scheduling decisions are taken within strict timing budgets? Is it possible to use learning to develop or evolve constraint models of FMS modules? How to adapt schedules and schedulers on-line to improve schedule performance or to respond to changes in configuration or use patterns? Are there benefits to be gained from co-design of the mechanical structure of an FMS and its product-flow scheduling?

If you find these questions inspiring, then you may just be the candidate that we're looking for.


Eindhoven University of Technology

TU/e is a mid-size university of technology located in the heart of the high-tech industry in the Netherlands, named the Brainport region. Eindhoven is the fifth largest city in the Netherlands, and including suburbs it has about 420,000 inhabitants. TU/e is a highly ranked university both in research and education. Our training and research programs are highly regarded and we foster close relationships with companies, organizations and research institutes in the Brainport region and beyond. Fundamental and applied research are equally valued at TU/e. The high rank of the TU/e is due to the impact of its scientific research and also due to its scientific co-publications with industry. TU/e is a social and inspiring university with a fine culture. You will quickly feel at home, surrounded by people who share your scientific ambitions. The TU/e currently has nine departments, with over 12,000 students in total.


Department of Electrical Engineering

With almost 100 (assistant, associate and full) professors, over 200 PhD and PDEng students, about 800 Bachelor students and 300 Master students, the Department of Electrical Engineering (EE) is one of the largest departments of the TU/e. By performing top-level fundamental and applied research, offering high-quality educational programs, and maintaining strong ties with industry, EE aims to contribute to science and to innovation in and beyond the region. EE currently offers a Bachelor and Master program in Electrical Engineering and participates in several multi-disciplinary masters, such as Systems and Control, Automotive Technology and Embedded Systems, all taught fully in English.

The department's relationship with the high-tech industry in the Brainport region means that staff and students can contribute directly to the development of technological innovations with real-world relevance. The unique positioning in one of Europe's leading tech regions also means excellent job opportunities for spouses.

Electronic Systems group at the TU/e

The Electronic Systems group is one of nine groups within the department of Electrical Engineering and consists of about 20 scientific and support staff, several postdocs, an about 40 PDEng and PhD candidates. The ES group is world-renowned for its design automation and embedded systems research. It is our ambition to provide a scientific basis for design trajectories of electronic systems, ranging from digital circuits to cyber-physical systems. ES research is organized in three subprograms that cover the engineering, system and circuit perspectives: Model-driven engineering, smart electronic systems, and digital nano-electronics. The group has an excellent lab infrastructure that includes individual computers, compute servers, FPGA and GPU farms, sensor and ad-hoc networking equipment, a cyber-physical systems lab, an electronics lab, and a comprehensive range of electronic-design software. ES has strong collaborations with industry, research institutes and other universities. The group is a multi-cultural team, with staff members and students from all over the world.

Functie-eisen

We are looking for candidates that match the following profile:

  • A Master's degree (or equivalent) in Computer Engineering, Computer Science, Electrical Engineering or related disciplines.
  • Strong expertise in modeling and analysis of software systems and performance engineering.
  • Expertise or strong interest in scheduling and machine learning.
  • Good programming skills in C++.
  • Interest to work in a public-private collaboration with industry, with on average 40% of your working time on-site presence at our industrial partner Canon Production Printing (Venlo, the Netherlands).
  • Good communication and organization skills, ability to work in a team, positive and proactive problem-solving attitude.
  • Excellent English language skills (writing, speaking and presenting).

Conditions

We offer a fixed-term position for 4 years in a dynamic and ambitious university and a stimulating research environment. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, including:
  • A gross monthly salary between € 2325,- (first year) and € 2972,- (last year)
  • Additionally, 8% holiday allowance and 8.3% end-of-year allowance
  • A minimum of 41 holidays per year (excluding bank holidays, for a full-time employment of 40 hrs/week)
  • Additional benefits, including excellent technical infrastructure, childcare, holiday savings schemes, and excellent sports facilities
  • Assistance for finding accommodation
  • A personal development program to develop your transferable skills (see: https://www.tue.nl/PROOF3TU).

Additional information

Information
Application

If interested, please use 'apply now'-button at the top of this page. You should upload the following:
  • A cover letter explaining your motivation and suitability for the position;
  • A detailed Curriculum Vitae (including a list of publications and key achievements);
  • A written scientific report in English of which you are the main author (MSc thesis, traineeship report or scientific paper);
  • Contact information of two references;
  • Copies of diplomas with course grades (transcripts).

Candidates will be selected based on grades and proficiency at university including consideration of the reputation of the university, relevant experience and skills, writing skills and publications, work experience, spoken English and presentation skills, as well as performance in relevant modeling exercises and interviews.

You can upload only one document (maximum file size is 10 MB). You have to bundle the documents.

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