Job Title: Quantitative Ecologist
Job Number: 85791
Location: Washington, US
Job Description
We seek an ecologist with demonstrated expertise using scientific programming languages (R, Python) to develop spatiotemporal statistical analysis of ecological data, including both physical and biological aspects of rainforest ecosystems and biodiverse species assemblages with thermal landscape modelling to predict resilience to climate change. The study site is an elevational transect from 280m to 4000m in the interface of the eastern Andes and lowland Amazon in southeastern Peru.
This is a two-year post-doc level position with possibilities for extension. The mechanism of employment will be a work contract with specific deliverables.
The successful candidate will help conceive and implement solutions to large, complex spatial and spatiotemporal ecological modeling challenges, including modeling of species' distributions.
The individual should have a PhD in quantitative ecology by the start of employment. We expect experience publishing scientific papers in quantitative ecology. Applicants must have proficiency with programming, spatial analysis and statistics in GIS and R, and be able to develop and implement statistical models using both Bayesian and frequentist methods working with large data sets and computationally complex tasks. Experience with machine learning is a plus. The ability to portray data analyses in a visually compelling manner is also a plus.
Responsibilities:
- Develop and implement model selection, performance assessment, and validation.
- Synthesize and interpret model outputs, including maps.
- Contribute data analysis to peer-reviewed publications.
- Provide statistical guidance to team members.
- Conduct data management using knowledge of MS SQL and macro programming.
The work is based in Washington DC with opportunities for field work in the Amazon with a team of 5-6 people in the field. Being based in Peru is also an option if you have decent Spanish capacity.
Candidates must be willing to provide frequent progress updates. Being disciplined about task completion is essential; if you cannot complete papers, then please do not apply. We have amassed a large volume of data, so an efficient analyst could really boost their publication output with this position. Entomophilia appreciated.
This job is ideal for a driven individual who wants to build a career in this field. You should be someone driven by a passion for ecology and who loves data analysis.
Interested candidates should submit:
- A CV with contact information
- A statement of their relevant interests
- Information on time of availability to start the position
- Salary expectation
- PDFs of any relevant papers
- Willingness to do some fieldwork in the Peruvian Amazon is a plus but not required
Application Deadline: 2024-10-31