Research Associate at University of Strathclyde: The Department of Electronic and Electrical Engineering (EEE) within the Faculty of Engineering is recruiting a Research Associate for a collaborative industry-led research project, Nuclear Fuel-debris Characterisation via Multimodal Spectroscopy and Analytics (NuFAMSA). This fixed-term role involves a 24-month appointment, with potential secondments in Japan and is part of a significant investment by EPSRC. The project, in collaboration with the University of Strathclyde, Lancaster University, the National Nuclear Laboratory (NNL) in the UK, Osaka University, NFD, and Japan Atomic Energy Agency (JAEA) in Japan, focuses on hyperspectral imaging for nuclear fuel-debris characterisation.
Designation: Research Associate
Research Area: Nuclear Fuel-debris Characterisation via Multimodal Spectroscopy and Analytics (NuFAMSA)
Location: University of Strathclyde, Glasgow City Centre, with potential secondments in Japan
Eligibility/Qualification:
- Minimum PhD in an appropriate discipline, or significant relevant experience in addition to a relevant degree.
- Broad knowledge in signal & image processing, hyperspectral imaging data acquisition and processing, computer vision, and machine learning/AI.
- Excellent programming skills (MATLAB, Python, etc.).
- Ability to conduct individual research, disseminate results, and prepare research proposals.
- Effective workload planning and organizational skills.
- Teamwork ability and excellent interpersonal and communication skills.
- Willingness and ability to travel within the UK for technical meetings and experiments regularly.
- Valid UK driving license and access to own vehicle are desirable.
- Willingness to travel to and from Japan for an extended period at least once during the project.
Job Description: The Research Associate will:
- Acquire and analyze hyperspectral image (HSI) data for nuclear fuel-debris detection, leading to spectral libraries and novel data analysis methods.
- Research and develop innovative methods for automatically analyzing HSI data to create spatial maps indicating areas likely to contain fuel-debris.
- Investigate new methods to analyze LIBS, γ-spectroscopy, neutron spectroscopy data, and perform data fusion with HSI.
The role involves working in a well-equipped, laboratory-based research environment within a dedicated research group led by Dr. Paul Murray (University of Strathclyde) and Prof. Malcolm Joyce (Lancaster University).
How to Apply: Interested candidates should submit their CV, cover letter, and contact information for three references to [email@example.com]. Please include “Research Associate Application – NuFAMSA Project” in the email subject line.
Last Date for Apply: Friday, 26 January 2024
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