Assistant Project Scientist - MLClimateScientist [Monier]
Position overview
the published system-wide salary at the designated rank and step, are offered when necessary to meet
competitive conditions, qualifications, and experience.
Application Window
Open date: April 28, 2025
Next review date: Tuesday, May 13, 2025 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Friday, Aug 15, 2025 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
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.
Qualifications
A PhD degree in Atmospheric Science, or other related field.
• 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.
• 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)
Application Requirements
Cover Letter
Curriculum Vitae - Your most recently updated C.V.
Publication List
Copy 1 of 3 of your most important publications
Copy 2 of 3 of your most important publications
Copy 3 of 3 of your most important publications
Authorization to Release Information Form - This form is required for all applicants applying to academic recruitments. Please see the Employment Disclosure Requirements webpage for more information. Download, complete, sign, and upload the form.
- Copies of undergraduate and graduate transcripts (if within 5 years of either degree), (Optional)
Statement of Research (Optional)
- 3-5 required (contact information only)
Help contact: elespinoza@ucdavis.edu
About UC Davis
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.
- “Misconduct” means any violation of the policies or laws governing conduct at the applicant’s previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy for Employees, Students and Third Parties
- APM - 035: Affirmative Action and Nondiscrimination in Employment
To implement this process, UC Davis requires all applicants for any open search to complete, sign, and upload the form entitled, "Authorization to Release Information" into UC RECRUIT as part of their application. If an applicant does not include the signed authorization with the application materials, the application will be considered incomplete, and as with any incomplete application, will not receive further consideration.
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We are an Affirmative Action/Equal Opportunity employer, and particularly encourage applications from members of historically underrepresented racial/ethnic groups, women, individuals with disabilities, veterans, LGBTQ community members, and others who demonstrate the ability to help us achieve our vision of a diverse and inclusive community.
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