Ocean Darkening: A Silent Driver of Marine Biodiversity Disruption

Labroots Inc.; Plymouth; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading scientific research organization in Plymouth is seeking a marine scientist to review and synthesize findings on ocean darkening. The ideal candidate will collaborate with climate scientists and marine biologists, interpret data, and communicate results to diverse audiences. A strong background in marine science and experience with satellite data analysis are highly desirable.

Qualifications

• Background in marine science, oceanography, climate science, or related field.
• Experience with satellite data analysis or modeling is desirable.
• Strong communication skills and ability to translate complex findings for diverse audiences.

Responsibilities

• Review and synthesize research findings on ocean darkening and its drivers.
• Contribute to interpretation of data and communication of results to scientific and public audiences.
• Collaborate with a multidisciplinary team of climate scientists, marine biologists, and data analysts.

Skills

Background in marine science

Satellite data analysis

Strong communication skills

Education

Relevant degree in marine science or related field

Job description

Overview

This description summarizes a study on ocean darkening, a potential driver of marine biodiversity disruption. It covers how ocean darkening has been assessed using satellite data and computer modeling to estimate changes from 2003 to 2022, and the broader implications for the photic zone that supports most marine life and for the health of the planet.

Responsibilities (illustrative)

• Review and synthesize research findings on ocean darkening and its drivers.
• Contribute to interpretation of data and communication of results to scientific and public audiences.
• Collaborate with a multidisciplinary team of climate scientists, marine biologists, and data analysts.

Qualifications

• Background in marine science, oceanography, climate science, or related field.
• Experience with satellite data analysis or modeling is desirable.
• Strong communication skills and ability to translate complex findings for diverse audiences.