Phenology Data Assistant — GIS, Climate History (Part-Time)

RMIT University; Melbourne; On-site; AUD 84,000 - 114,000; Part time

Job summary

RMIT University in Melbourne seeks a part-time Research Assistant to enter historical phenology data into a structured database, interpret varied records and map observations using geospatial tools.

The role supports the ARC Discovery Project on Tracking Phenology Changes linked to Climate Change and Biodiversity Loss, with responsibilities spanning data quality control, updating storage, and cross-team collaboration to meet milestones.

Qualifications

• Essential: accurately enter, code and interpret data from historical records into a structured database.
• Essential: strong computer literacy, navigating relational databases.
• Essential: implement quality control to check data for errors, inconsistencies.
• Essential: experience with geospatial mapping tools.
• Essential: knowledge of Australian flora.
• Essential: communicate effectively within a team on data-related issues.
• Essential: attention to detail, grammar, punctuation and numeracy.
• Essential: ability to work collaboratively in a small research team.
• Desirable: interest in environmental history; familiarity with AI programs such as Claude.

Responsibilities

• Enter historical phenological data into the project database from varied source records.
• Code and map data, check for errors and missing information.
• Maintain data input records and support project milestones and goals.
• Collaborate with Project Leader, Phenological Database Manager and HDR candidate to deliver project outcomes.

Skills

Data entry

Relational databases

Quality control

Geospatial mapping

Australian flora

Team communication

Attention to detail

Collaborative work

Education

Postgraduate degree in Geospatial Science or Environmental Science

Job description

RMIT University in Melbourne seeks a part-time Research Assistant to enter historical phenology data into a structured database, interpret varied records and map observations using geospatial tools.

The role supports the ARC Discovery Project on Tracking Phenology Changes linked to Climate Change and Biodiversity Loss, with responsibilities spanning data quality control, updating storage, and cross-team collaboration to meet milestones.