Research Fellow (Project Leader) -

Job Overview

Location
Cambridge, England
Job Type
Full Time
Date Posted
7 days ago

Additional Details

Job ID
6263
Job Views
9

Job Description

Brunel University London - Brunel Innovation Centre - BIC, Cambridge

Location:Cambridge
Salary:£30,046 to £40,322 per annum (grade R1).
Hours:Full Time
Contract Type:Fixed-Term/Contract
Placed On:12th October 2020
Closes:25th November 2020


Institute of Materials and Manufacturing

Full-time, fixed-term (24 months)

The Brunel Innovation Centre (BIC) is seeking to recruit a Research Fellow (Team Manager) with project management experience with expertise in Condition and Structural Health Monitoring to join our team in Cambridge.

BIC is a world class research and technology centre (established in 2009) that sits between the knowledge base and industry offering high quality research in an innovative environment focused on non-destructive testing, condition and structural health monitoring, power ultrasonics and allied technologies. More information on BIC can be found here. A collaboration between Brunel University London and TWI Ltd, BIC has been awarded funding (Innovate UK, EPSRC and H2020) to work with companies across Europe and UK in the energy, aerospace and construction & engineering sectors.

The successful candidate should have extensive experience in leading/project managing collaborative research projects. BIC has recently started developing DigitalTwin technology for Industry 4.0 focusing on diagnostics and prediction the performance and health of assets. BIC’s philosophy is to integrate its knowhow in asset integrity and performance to enhance the digital copy of a physical asset. The post holder should be able to develop models of performance and quality of a product/process linking the throughput to the input and integrate then in a digital twin model. The post will involve work in the following fields:

  • Designing, implementing, testing and maintaining automated data analysis and classification algorithms (signal processing, statistical, machine learning).
  • Developing machine learning (i.e. deep learning, Bayesian model) models for inferring the performance and the health of a system, subsystem or an asset in the context of Industry 4.0.
  • Providing core software engineering practices (writing clear, well-documented and testable codes).
  • Developing, debugging and validating codes and software using C/C++, MATLAB, and Python.

The successful candidates will have:

  • A postgraduate (MSc/PhD/Post-doc) qualification in electrical, mechanical, aerospace engineering or equivalent disciplines.
  • A high level of initiative and an ability to work both collaboratively and independently. Team player and willingness to work on different projects.
  • Results-oriented approach, be hardworking with a positive outlook and a clear focus on high quality work.
  • Evidence of sufficient knowledge in the above-mentioned discipline and of research methods.
  • Experience in project management ideally delivering and preferably leading collaborative research projects (EPSRC, InnovateUK, H2020).
  • Good communication and presentation skills and the ability to draft research papers for publication in academic journals and/or combination of industrial experience and/or training.

The role anticipates regular interaction with PhD students in an aligned topic theme and influencing the research strands of National Structural Integrity Research Centre (NSIRC) so as to meet its mission. Amongst the aims of NSIRC is to develop a critical mass of research informed by the needs of industry, across the field of structural integrity and to develop novel postgraduate programmes to train the next generation of researchers and engineers to support UK science and innovation.

Closing date for applications: Wednesday 25th November 2020.

For further details and to apply please press the apply button.

COMMITTED TO EQUAL OPPORTUNITIES AND REPRESENTING THE DIVERSITY OF THE COMMUNITY WE SERVE

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