Postdoc: Electrification Data Analytics & Policy Research

University of Oxford; Oxford; On-site; GBP 42,000 - 54,000; Full time

Benefits offered by this job

An excellent contributory pension

38 days annual leave

Childcare services

Family leave schemes

Cycle loan scheme

Discounted bus travel and Season Token

Job summary

University of Oxford's Environmental Change Institute is seeking a Postdoctoral Research Associate to join the Oxford Martin Electrification Accelerator. The role focuses on assembling, cleaning and analysing complex datasets from energy agencies and industry sources to provide the quantitative evidence base for electrification across heat, transport and industry.

You will work with Dr Jan Rosenow and colleagues, develop reproducible methods in Python or R, contribute to research outputs and

Qualifications

• PhD in a quantitative discipline or near completion.
• Strong analytical and programming skills in Python or R.
• Experience working with large or complex datasets and energy-related data desired.
• Ability to communicate research findings to both academic and non-academic audiences.

Responsibilities

• Assemble, clean and analyse complex datasets from statistical agencies, energy operators and industry sources.
• Develop reproducible analytical methods and workflows.
• Contribute to research publications and policy-facing outputs.
• Collaborate across the Accelerator's partner departments and with external organisations.
• Deliver work packages and support evidence-based decisions on electrification across sectors.

Skills

Python

R

Data analysis

Large datasets

Policy communication

Education

PhD in a quantitative discipline

Tools

Python

R

Statistical software

Job description

University of Oxford's Environmental Change Institute is seeking a Postdoctoral Research Associate to join the Oxford Martin Electrification Accelerator. The role focuses on assembling, cleaning and analysing complex datasets from energy agencies and industry sources to provide the quantitative evidence base for electrification across heat, transport and industry.

You will work with Dr Jan Rosenow and colleagues, develop reproducible methods in Python or R, contribute to research outputs and