Research Fellow: Machine Learning & Optical Sensing Systems

Aston University; Birmingham; On-site; GBP 80,000 - 100,000; Full time

Job summary

A prominent research institution in Birmingham seeks a motivated Research Fellow to contribute to a Horizon Europe-funded project. You will develop advanced data analytics and machine learning techniques for processing sensing signals from fibre-optic communication systems. This role offers excellent training opportunities and a vibrant campus environment with generous leave policies.

Benefits

30 days bookable leave

Discounted gym and pool membership

Training and development opportunities

Qualifications

• Experience developing advanced data analytic techniques.
• Strong knowledge of machine learning applications.
• Familiarity with fibre-optic communication systems.

Responsibilities

• Develop advanced data analysis techniques for sensing signals.
• Implement tasks for event classification and data fusion.

Skills

Data analytics

Machine learning

Signal processing

Job description

Overview

We are seeking a highly motivated Research Fellow to join the Aston Institute of Photonic Technologies (AiPT) and contribute to Horizon Europe-funded project ECSTATIC (Engineered Combined Sensing and Telecommunications Architectures for Tectonic and Infrastructure Characterisation - https://ecstatic-project.eu/). The role will involve the development of advanced data analytic and machine learning techniques applied to the processing of sensing signals obtained from advanced fibre-optic communication systems. You will be responsible for implementing key tasks across work packages that address event classification and data fusion for real-time event detection and infrastructure monitoring.

Responsibilities

• Develop advanced data analytic and machine learning techniques applied to processing of sensing signals from advanced fibre-optic communication systems.
• Implement key tasks across work packages addressing event classification and data fusion for real-time event detection and infrastructure monitoring.

Benefits

• Aston University is a vibrant campus located within Birmingham city centre, with excellent transport links via bus or train.
• Excellent training and development opportunities.
• A generous annual leave scheme with 30 days bookable leave and a further 13 days of bank holiday and University closure days.
• Everyday discounts to a number of activities and retailers.
• Great family-friendly policies.
• On-site gym and pool with discounted staff membership available.
• Further information on our Benefits and Rewards can be found here.

Additional information

• For informal enquiries about this position, you can contact Professor David Webb, ([e-mail]).
• This role may meet the requirements for Skilled Worker visa sponsorship. If you require sponsorship, Aston University will assess eligibility if you are shortlisted. Please note we are unable to confirm individual eligibility before shortlisting.
• See here for more information on Skilled Worker visa eligibility: https://www.gov.uk/skilled-worker-visa