Scientist, Research Scientist, Data Scientist

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Academic Staff

Regular

Scientist I

This position will conduct computational research to characterize and model uncertainty in probabilistic rainfall and flood hazard applications. The incumbent will assist principal investigators with project management, preparation and submission of project reports, and coordination of activities among research group members and outside collaborators. The incumbent will also write and publish research articles, develop grant proposals, and assist in managing routine operations of the research group, including assisting with student advising in accordance with University policies.

• Write or assist in developing grant applications and proposals to secure research funding.
• Conduct literature reviews, prepare reports and materials, and disseminate information to appropriate entities.
• Serve as a main point of contact and liaison with internal and external stakeholders providing information and representing the interests of a specialized research area.
• Assist with the identification of research problems and the development of research methodologies and procedures.
• Collect and analyze research data, conduct experiments and interviews, and document results according to established policies and procedures under general supervision and limited responsibility.
• Attend and assist with the facilitation of scholarly events and presentations in support of continued professional development and the dissemination of research information.

College of Engineering - Civil and Environmental Engineering

The starting salary for the position is $72,000, but is negotiable based on experience and qualifications.

A PhD and a minimum of 3 years of postdoctoral experience in precipitation science or a related field is required. The candidate must have sufficient technical background, through a combination of education and work experience, to carry out original research using an integration of remote sensing products, weather/climate model outputs, hydrologic science, data science, and stochastic modeling.

A successful candidate will have background and familiarity with all or some of the following:

• Precipitation measurement
• Precipitation uncertainty quantification and error propagation
• Stochastic or dynamical downscaling of climate model variables
• Statistics, statistical software
• Python, C++, MATLAB, or other programming language, scripting
• High performance and high-throughput computing
• Scientific proposal writing
• Hydrologic modeling

PhD required in precipitation science or related field.

Please go to the “Apply Now” area and select your current UW Employment Status. Applicants are required to upload a resume and a cover letter outlining relevant qualifications and experience as it pertains to the required and preferred qualifications outlined in this job posting.

The search committee will review all application materials after the posted deadline. We will notify selected applicants to participate further in the selection process directly. References will be requested from final candidates. All applicants will be notified after the search is complete and a candidate has been selected.

Successful applicants are responsible for ensuring their eligibility to work in the United States (i.e., a citizen or national of the United State, a lawful permanent resident, a foreign national authorized to work in the United States without need of employer sponsorship) on or before the effective date of appointment.

Barry Crook

barry.crook

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in…