PDRA: Maritime Decarbonisation & Data Analytics

Liverpool John Moores University

Liverpool

On-site

GBP 40,000 - 60,000

Full time

14 days+

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Benefits offered by this job

generous annual leave entitlement
pension scheme
induction
development support
family-friendly policies

Job summary

Liverpool John Moores University (LJMU) invites applications for a Research Fellow (PDRA) to lead independent or collaborative projects in maritime decarbonisation. This 24-month fixed-term appointment is part of the MaLaMi programme, hosted by LOOM, with opportunities to apply AI, data science, and digitalisation to real-world transport challenges.

The role requires a good honours degree and a PhD (or equivalent) in relevant fields, plus strong quantitative skills and programming proficiency.

Qualifications

  • Good honours degree and a PhD (or equivalent) in transport, logistics, engineering, operations research, data science or a relevant discipline.
  • Strong quantitative research and data-analysis capabilities are required.
  • Experience with research projects related to maritime decarbonisation, AI or digitalisation is preferred.

Responsibilities

  • Contribute to scoping, feasibility assessment and proof-of-concept development for maritime and last-mile decarbonisation projects.
  • Develop and apply quantitative and data-driven models, including modelling, simulation, optimisation and machine learning.
  • Assist in the development, testing and evaluation of analytical tools, prototypes and demonstrators in collaboration with researchers and external partners.

Skills

Quantitative research
Data analysis
Programming
Analytical tools

Education

PhD (or equivalent)

Job description

Liverpool John Moores University (LJMU) invites applications for a Research Fellow (PDRA) to lead independent or collaborative projects in maritime decarbonisation. This 24-month fixed-term appointment is part of the MaLaMi programme, hosted by LOOM, with opportunities to apply AI, data science, and digitalisation to real-world transport challenges.

The role requires a good honours degree and a PhD (or equivalent) in relevant fields, plus strong quantitative skills and programming proficiency.

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