PhD Researcher in Predictive Manufacturing and Robotic Construction

4 weken geleden

Eindhoven, Noord-Brabant, Nederland TU Eindhoven Voltijd
About the Position

We are seeking a highly motivated PhD researcher to join our team at TU Eindhoven. The successful candidate will be part of the Information Systems in the Built Environment (ISBE) group and will work on a challenging project focused on predictive manufacturing and robotic construction.

Project Overview

The AM2PM project aims to design, test, and implement an AI-enabled Digital Twin infrastructure for predictive manufacturing and robotic construction. The project involves a system-of-systems approach, where multiple physical and digital 3D printing systems and construction robots interact with each other. The successful candidate will contribute to the research and configuration of the CPS orchestration mechanism, which operationalizes the interaction between these systems.

Key Responsibilities
  • Define a system architecture that orchestrates the interaction of multiple 3D printers and on-site robots.
  • Create the multimodal Digital Twin infrastructure with a dynamic real-time connection through which the Digital Twin can schedule and affect the physical additive manufacturing processes.
  • Develop and configure the digital representations of the physical assets in cyberspace relying on BIM, Semantic Web technologies, robotic models, and cloud technologies.
  • Establish the communication between the digital and the physical counterparts relying on open industrial connectivity standards, integration software, and sensing technology.
  • Investigate and define an appropriate edge computing architecture that prioritizes the relevant aspects of data placement and analysis, data security, learning, and robot orchestration.
Requirements
  • Master's degree in Architectural Engineering, Civil Engineering, Computer Science, Software Engineering, Robotics, or similar.
  • Strong background in Building Information Modelling, Digital Twins, and/or robotic construction.
  • Experience or interest in working with data handling, semantic data modelling, knowledge representation, and linked data technologies.
  • Experience or interest in working with Artificial Intelligence and edge computing.
  • Knowledge and experience with programming and software development.
  • Research-oriented attitude and good communication skills.
  • Ability to work in an interdisciplinary team and interested in collaborating with industrial partners.
  • Motivated to develop teaching skills and supervise students.
  • Fluent in spoken and written English (C1 level).
What We Offer
  • Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months.
  • Salary and benefits in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2,872 max. €3,670).
  • 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.
  • Excellent technical infrastructure, on-campus children's day care, and sports facilities.
  • Allowance for commuting, working from home, and internet costs.
  • Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

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