Two-year postdoctoral position: A critical assessment of past population forecasts

The successful candidate will spend 50% of their time on the project described below assessing our ability to predict complex ecological systems with limited data, and 50% on a project to be developed by the candidate within the broad theme of quantitative population and community ecology. This is a unique opportunity to contribute to develop the candidates own research interests and to a new project. Candidates with an interest in contributing to inclusivity and diversity in quantitative ecology are especially encouraged to apply.

The successful candidate will develop an initial database of past population viability predictions that can be compared to current observations. Viability predictions of plants and animal populations have been made for decades for both management and conservation purposes; however, these predictions are rarely revisited to assess their accuracy. We will use the database to provide a critical assessment of the suitability of the models and datasets used to make predictions. Possible research questions include determining whether recent advances in statistical techniques have improved predictions and making recommendations for future practice. The candidate will have the option of being a co-PI on proposals developed from this initial work.

REQUIREMENTS: Minimum requirements include: 1) a Ph.D. in ecology or related field; 2) demonstrated the desire and proficiency to publish in scientific journals; 3) knowledge of principles and methods of quantitative population ecology or enthusiasum to develop this knowledge. Preferred skills also include excellent writing and organizational skills and database management. The appointment is 24 months, and start date is negotiable. Salary is 70K/year, and benefits are NOT included. The position will be based out of the Department of Biology at the University of Hawai'i at Mānoa.

APPLICATION/CONTACT INFORMATION: Applications will be reviewed on a rolling basis, and any applications received before August 1st will be given full consideration. Candidates should send a note outlining their research interests, curriculum vitae, and contact information for three references to Jake Ferguson.