Phenology Data Specialist (Part-Time, Fixed-Term)

rmit; City of Melbourne; Hybrid; AUD 84,000 - 114,000; Part time

Benefits offered by this job

Superannuation

Job summary

RMIT University seeks a part-time Data Entry Specialist to support an ARC Discovery Project on phenology changes. You will input historical observations, code data, and map locations, ensuring accuracy and quality. Based in Melbourne, you will work with the Phenological Data Specialist and the project team to deliver milestones.

The role requires attention to detail, strong data literacy, and experience with GIS tools and team communication. The appointment is fixed-term to 30 June 2029.

Qualifications

• Proven ability to enter, code and interpret data from diverse historical sources into a structured database.
• Strong computer literacy to navigate relational databases.
• Experience implementing quality control to check data for errors and inconsistencies.
• Experience with geospatial mapping tools and GIS concepts.
• Knowledge of Australian flora and ability to communicate within a research team.

Responsibilities

• Enter historical phenological data into project database and code data accurately.
• Read and interpret historical records (e.g., naturalists' diaries) for data entry.
• Map phenological observation locations and maintain data input records.
• Collaborate with project leaders and team members to meet milestones.
• Support data storage updates and quality checks.

Skills

Data entry

Teamwork

Attention to detail

Communication

Grammar and numeracy

Education

Postgraduate Geospatial/Environmental Science

Tools

Relational databases

Geospatial mapping tools

AI tools (Claude)

Job description

RMIT University seeks a part-time Data Entry Specialist to support an ARC Discovery Project on phenology changes. You will input historical observations, code data, and map locations, ensuring accuracy and quality. Based in Melbourne, you will work with the Phenological Data Specialist and the project team to deliver milestones.

The role requires attention to detail, strong data literacy, and experience with GIS tools and team communication. The appointment is fixed-term to 30 June 2029.