Menu

Home / Opportunities / Research Assistant/Associate in DigiTwin Project (Fixed Term)

Warning message

Cambridge-based members of C2D3 can log in to view more information about this opportunity.

Research Assistant/Associate in DigiTwin Project (Fixed Term)

Closing date: 
Friday, 25 June 2021

Department of Engineering, Central Cambridge

A position exists, for a Research Assistant/Associate, Department of Engineering, to work on the DigiTwin project. The post holder will be located in Central Cambridge, Cambridgeshire, UK.

The successful candidate will be working in the Cambridge Engineering Design group (https://www-edc.eng.cam.ac.uk/). The overall aim of Digi Twin project (https://digitwin.ac.uk/) is to create robustly-validated digital twins for dynamic applications. The Cambridge team will study and explore the role of Digital Twin technology in the design process. In particular, identifying how to benefit from such technology in order to characterise and quantify uncertainty distributions of key input design parameters, as well as to utilise Digital Twin technology to design experimental procedures. The work will be combined with the latest developments in uncertainty management in dynamic systems and will create a new design methodology leading to significant improvements in confidence based on digital twin concepts.

The key responsibilities and duties are research (e.g., to explore methods on how to quantify input uncertainty and how to use Digital Twin technology to support the design process; to conduct literature and database searchers, etc.); liaison and networking; and planning and organising. Detailed list is available in the further particulars.

The essential skills, qualifications and experience required to perform the role are a First degree Honors, MSc/MEng and/or PhD in mechanical/electrical engineering and/or design. Good oral and written communication skills together with an ability to interact effectively with staff at all levels are also essential. Desirable specialist knowledge and skills include Machine Learning; uncertainty quantification (probabilistic and/or interval analysis); computer programming (Python) and Digital Twins. Experience in Mechanical systems analysis and design would also be an advantage.

https://www.jobs.cam.ac.uk/job/29971/

About us

The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
  • Builds research capacity in data science and AI to tackle complex issues 
  • Drives new research challenges through collaborative research projects 
  • Promotes and provides opportunities for knowledge transfer 
  • Identifies and provides training courses for students, academics, industry and the third sector 
  • Serves as a gateway for external organisations 

Join us