Assistant Project Scientist - MLClimateScientist [Monier] JPF07088

The Project Scientist makes significant and creative contributions to a research or creative project in his/her academic discipline. The appointee possesses the subject matter expertise and the creative energy necessary to function at a high level of competence. The appointee will participate in activities to increase, improve, or upgrade competency. Appointees with Project (e.g., Scientist) titles may engage in University and public service. They do not have teaching responsibilities. Although the Project Scientist is expected to work independently under the general guidance of an academic member with an independent research program (i.e., Professor, Professional Researcher, Specialist in Cooperative Extension, etc), he/she is not required to develop an independent research program or reputation. He/she will carry out research or creative programs with supervision by an individual in an academic title that carries with it automatic Principal Investigator status. The Project Scientist does not usually serve as a Principal Investigator but may do so by exception.
POSITION DESCRIPTION

MAJOR RESPONSIBILITIES

I. RESEARCH (90%)
Research activity (70%)

This position requires creative contributions to and collaborative development of an active research program investigating topics relevant to the research area of machine learning methods for Earth system modeling. The candidate will help to determine research goals in consultation with the Principal Investigator. He/she will design specific projects, including the selection of appropriate methods and techniques. In some cases the candidate may supervise students or technicians regarding the technical aspects of the research, including methods development, trouble-shooting problems, interpreting results and planning follow-up experiments.

Publication activities (20%)
The candidate will publish research results in peer-reviewed journals, books and other outlets either independently or in collaboration with the PI or other members of the research team.

II. PROFESSIONAL COMPETENCE AND ACTIVITY (5%)
The candidate will participate in professional societies and conferences appropriate to his/her specific field and will serve as a reviewer of research proposals and scientific publications as appropriate. The candidate will attend seminars to present research results and may give oral presentations to public and professional interest groups. When appropriate, the candidate may coordinate and/or give presentations at seminars, laboratory meetings or educational functions.

III. UNIVERSITY AND PUBLIC SERVICE (5%)
The candidate will engage in public outreach activities that include presenting scientific research results to the general public and providing relevant advice to individuals and public agencies. The candidate will engage in University service activities such as guest lecturing and committee service. Teaching classroom courses is not an expectation of this position.

Basic qualifications (required at time of application)

A PhD degree in Atmospheric Science, or other related field.

Additional qualifications (required at time of start)

• Significant experience with processing of large Earth system datasets in Python.
• Experience with training and applying machine learning models for atmospheric and/or hydrologic applications.
• Experience with production and analysis of Earth system model data.
• Experience with the use of a regional or global Earth system model.
• Experience with the use of a hydrologic model for simulating overland flooding and streamflow.
• Postdoctoral experience in machine learning methods with applications in atmospheric science and/or hydrology.
• Strong quantitative background.
• Excellent statistical and programming skills.
• Demonstrated ability to effectively communicate via writing and orally.

Preferred qualifications (other preferred, but not required, qualifications for the position)

• Expertise in use of U.S. Department of Energy supercomputing systems.
• Evidence of collaborative, interpersonal, and communication skills.
• Experience in writing both proposals and a good track record in research publications (peer-reviewed and broader audience)

• 3-5 required (contact information only)

Apply link: https://recruit.ucdavis.edu/JPF07088