Research Associate B - Keller Lab
Research Associate B - Keller Lab
- United States of America
The successful candidate will co-lead research to improve the characterization and understanding of (i) uncertainties and (ii) system dynamics related to climate risks. Examples of the adopted research approaches are provided at this web-page and this overview paper. Current collaborative projects analyze, for example, the dynamics and impacts of deep decarbonization, coastal processes, multisector dynamics, and the design of coastal flood risk management strategies. The candidate will ideally have strong quantitative backgrounds in relevant disciplines (e.g., applied math, operations research, statistics, engineering, or Earth sciences) and interests in collaborating with neighboring disciplines. The position provides unique opportunities for research, education, outreach, decision support, and professional development. The successful candidate will enjoy ample opportunities to co-design their project portfolios and for transdisciplinary research collaborations. The successful candidate will be mentored by a team of experts in relevant disciplines.
The position is available immediately. The initial appointment will be for a period of one year, with an excellent possibility of renewal for one or more additional years. For more information about the position, please contact Prof. Klaus Keller (klaus.keller@dartmouth.edu). Review of applications will begin immediately, and the position will remain open until filled. The salary will be competitive, commensurate with experience, and will comply with Dartmouth College guidelines. Successful completion of a background check is required prior to employment.
Minimum Qualifications:
- Experienced with modeling and statistical techniques
- Good communication and interpersonal skills
- Experience in quantitative research
- Ph.D. in a related field
Preferred Qualifications:
- Experience in at least one of the areas of (i) uncertainty quantification, (ii) model diagnostics, and (iii) decision analysis.
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