Postdoctoral Scholar in Water Resources Research
The University of Washington Civil and Environmental Engineering and eScience Institute offer an outstanding opportunity for a postdoc position to support Snow Science research.
We are looking for an enthusiastic, self-motivated Postdoctoral Scholar researcher with demonstrated coding skills to work on analyses of spatially distributed snow datasets from distributed models and remote sensing products (e.g. snow cover area, snow depth, snow surface temperature, etc) at different spatiotemporal resolutions with a focus on machine learning techniques. The application deadline is December 1, 2020.
Interested applicants are encouraged to contact Nicoleta Cristea (firstname.lastname@example.org), to discuss their interests in snow science and this position prior to the application deadline. This research fellowship is offered for 1 year (12-months) and renewable pending funding availability. The ideal start date is mid-January 2021. The postdoc will be hosted in the UW Department of Civil and Environmental Engineering, will interact with the Mountain Hydrology Group, the eScience Institute and other groups on campus. The immediate supervisor is Professor Jessica Lundquist, and the co-mentors are Professor Jessica Lundquist and Research Scientist Nicoleta Cristea, Nicoleta Cristea.
The ideal candidate will have expertise in one or more areas related to data science (machine learning, statistics, large-scale data systems, visualization, Github project management, interfaces that facilitate large-scale data understanding) that can apply to analyzing spatial datasets. The postdoc will collaborate on spatial analyses, software development, cloud computing, research manuscripts and other activities designed to advance the research and practice of data-driven and data-intensive discovery in snow science. Ideally, the successful applicant will prototype or reuse other code where the outcome will be a software tool developed in collaboration with researchers at the eScience Institute.
The UW eScience Institute is a data science environment aiming to empower researchers from all fields with tools and skills to answer challenging science questions through the use of large, complex and noisy data. As a hub of data-intensive discovery, the UW eScience Institute leads a community of innovators in the techniques, technologies, and best practices of data science and the fields that depend on them. The postdoc will receive a UW Data Science postdoctoral fellowship that includes $2,000 for research-related expenses (including travel) upon appointment and access to up to an additional $5,000 of research funding following a lightweight competitive proposal process which will take place twice each year, in ~January and ~June.
Postdoctoral scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website: https://hr.uw.edu/labor/2019/06/03/agreement-reached-with-uaw-postdoctor....
Duties and Responsibilities:
- Analyze and process remote sensing and model spatial datasets
- Develop and Integrate existing Python code into Python modules and packages for distribution and publication of geospatial packages
- Assist with code documentation and scientific writing assignments
- Help organize, conduct and participate in training events as needed
- Present a seminar in the eScience Community Seminar series
- Regularly attend weekly eScience postdoc + graduate student lunches
- Acknowledge the eScience Institute on relevant conference presentations or research products
- PhD degree in geoscience, computer science, engineering or related field
- Familiarity with time series and geospatial data processing in Python (at least 1 year experience)
- Excellent computer programming skills (bash shell scripting, Python, Jupyter Notebooks, Git)
- Excellent verbal, written, and interpersonal communication skills
- Well-honed organizational skills and ability to manage multiple priorities and timelines
- Ability to work with colleagues in a way that enhances collaboration and team building
- Proficiency in processing spatial data
- Experience with machine learning techniques
To apply, please submit the following materials by December 1, 2020.
- Resume or CV
- Cover letter briefly describing your qualifications, professional goals, and specific interest in this position.
- Contact information for 3 references that include, 1) Name 2) Email 3) Institution 4) Phone number
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University of Washington is an affirmative action and equal opportunity employer. All
qualified applicants will receive consideration for employment without regard to race, color, creed,
religion, national origin, sex, sexual orientation, marital status, pregnancy, genetic information,
gender identity or expression, age, disability, or protected veteran status.
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