Hybrid River Ecology Research Assistant: Data Modelling

Nottingham Trent University; Nottingham; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A leading research institution in the UK is seeking a Researcher to join their team in a collaborative project focusing on temporary river ecology. The role involves analyzing ecological data to assess community responses to environmental changes, including human impacts and seasonal variations. With opportunities for professional development and networking, this position is funded for 0.8 FT for 8 months and encourages hybrid working arrangements.

Benefits

Hybrid working

Flexibility in work patterns

Salary Sacrifice Retirement Savings Plan

Health and wellbeing services

Professional development opportunities

Qualifications

• Strong scientific background in river ecosystems.
• Proven ability to analyze complex ecological datasets using advanced modeling.

Responsibilities

• Analyze collated data to characterize community responses to environmental variation.
• Calculate indices representing community health.
• Model index responses to environmental drivers.

Skills

Scientific understanding of river ecosystems

Experience of using advanced modelling approaches to analyse ecological datasets

Job description

A leading research institution in the UK is seeking a Researcher to join their team in a collaborative project focusing on temporary river ecology. The role involves analyzing ecological data to assess community responses to environmental changes, including human impacts and seasonal variations. With opportunities for professional development and networking, this position is funded for 0.8 FT for 8 months and encourages hybrid working arrangements.