Postdoctoral Research Associate in quantitative analysis of aquatic ecosystem dynamics and harmful algal blooms
Department of Global Ecology at the Carnegie Institution for Science (CIS), Stanford campus is seeking a Postdoctoral Research Associate to analyze data on spatial and long-term variation of plankton community composition to uncover drivers of harmful algal blooms (HABs) and patterns of plankton community responses to changing environmental conditions.
The position is based in Dr. Elena Litchman’s lab, with the possibility of working remotely, and will involve collaborations with researchers at other institutions.
The Postdoctoral Research Associate will be responsible for developing novel methods to identify the drivers of HABs and characterizing community dynamics and resilience in a changing climate using multiple datasets on spatial and temporal variation in lake plankton.
- Identify compelling scientific questions, design and conduct high-level research;
- Lead and contribute to research papers to be published in the peer reviewed literature.
- Ph.D. in ecology, data science, environmental statistics or related field;
- Experience working with environmental data;
- Experience with quantitative data analysis and advanced statistical modeling approaches and publications in this area;
- Excellent oral and written communication skills;
- Evidence of ability to work independently and in teams;
- Commitment to a collegial and inclusive workplace.
Contact Elena Litchman at email@example.com if you have questions about this position. Applications will only be considered when submitted through our application portal (see blue bar below). Please include a cover letter, CV, and names and contact info of three references. The review of applications will begin immediately, and the position will remain open until filled. Compensation is competitive and will be commensurate with work experience and skills.
Carnegie is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, veteran status, disability or any other protected status in accordance with applicable laws.
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