Postdoctoral Fellow: Biodiversity Modeling & Climate Policy

Rutgers University; New Brunswick (NJ); On-site; USD 56,000 - 68,000; Full time

Benefits offered by this job

Medical, prescription drug, and dental

Paid vacation and holidays

Retirement benefits (defined, employer

Educational benefits for employee and

Life insurance

Job summary

Rutgers University—New Brunswick invites applications for a Post Doctoral Associate position with the Rutgers Climate and Energy Institute (RCEI). The role focuses on evidence synthesis or simulation modelling of biodiversity data, coordinating with the PI and leadership to prepare proposals and publications.

The successful candidate will manage data, contribute to peer-reviewed work, and interact with national and international collaborators.

Qualifications

• Requires PhD degree in ecological sciences or closely related field.
• Requires evidence of excellent communication skills in professional settings.
• Proven skill in database construction, scientific writing, and complex project management.
• Knowledge of renewable energy production systems, economics, or policy.

Responsibilities

• Performs complex evidence synthesis or computational simulation modelling of biodiversity data.
• Documents the work performed and maintains all databases that result from research output.
• Consults with the Director of the Rutgers Climate and Energy Institute (RCEI), staff, and leadership in proposals, grant applications, and annual progress reports.
• Pursues external funding sources such as grants and contracts and serves as the technical contact for biodiversity and renewable energy grants with agencies and organizations.

Skills

Communication skills

Database construction

Scientific writing

Project management

Renewable energy knowledge

Education

PhD in ecological sciences

Job description

Rutgers University—New Brunswick invites applications for a Post Doctoral Associate position with the Rutgers Climate and Energy Institute (RCEI). The role focuses on evidence synthesis or simulation modelling of biodiversity data, coordinating with the PI and leadership to prepare proposals and publications.

The successful candidate will manage data, contribute to peer-reviewed work, and interact with national and international collaborators.