Post Doctoral Researcher

SDSU Research Foundation • San Diego, CA

1d

About The Position

Established in 1943, the mission of the SDSU Research Foundation (SDSURF) is to support the research objectives of San Diego State University by helping faculty and staff find, obtain, and administer funding for their research and sponsored programs. SDSU achieved its strategic plan goal of becoming an R1, premier public research university in early 2025 furthering discoveries, interventions, and solutions that improve communities and change the world. SDSURF provides the full life cycle of grants services to faculty and staff to further their important work. Our vision is to foster a culture of creativity and collaboration with integrity and respect for individuals that results in the delivery of superior service to support the university’s strategic aspirations. Our core values: Service: We are a service organization that strives to provide superior support to the university community to achieve SDSU’s goals; we are committed to being professionally competent by setting high standards and working hard to achieve results; and we continually seeking to improve our skills and capabilities by valuing education and professional development. Collaboration: We seek to actively engage with our stakeholders and employees to identify issues and design solutions, build strong relationships grounded in trust, openness, and inclusion and achieve the best results by taking pride in the accomplishments of our colleagues. Innovation: We work towards inspired solutions to improve and adapt to emerging opportunities and challenges, creative ways to streamline and enhance our delivery of services through resourceful and proactive problem solving and strategic use of technology and reduction of obstacles. Respect: We promote a culture where every individual is valued and treated with dignity, we honor open-mindedness toward different viewpoints and ideas and have a genuine appreciation for varied backgrounds, experiences, and ways of thinking. Integrity: We are committed to act with the highest ethical standards, with honesty, integrity, and transparency, provide consistent and accurate information and value and respect all individuals. The two projects relevant to this position are (a) NSF project on AI and data science applications to environmental science, in particular, in the areas of AI weather forecasting and its related data science/Machine learning; and (b) NOAA project on climate hub for analytical research and modeling, specifically on climate data visualization, delivery, and value-added products development for business and industry. These two projects are led by Distinguished Professor Sam Shen of SDSU, in collaboration with several other universities. Under direction , the incumbent works independently in the preparation of detailed plans for the research study, the compilation and interpretation of data, and the preparation of detailed reports on phases of major studies/research studies. Responsible for supervising and directing a small work group consisting of students, Grad Students, Research Assistants and lower level Research Specialists engaged in the compilation and analysis of data. Examples of RSIII duties consist of developing scientific constructs in a laboratory; consulting with PI to confirm approaches, data collection and analysis; serves as lead on research project initiatives; collaborates with team to make recommendations for processing/analysis/interpretation of data based on up to date literature. This advanced-level position for incumbents who can provide program leadership with a higher level of scope and responsibilities which requires a specialized knowledge, skill and experience relevant to the program/project.

Requirements

• Doctoral degree in appropriate field.

Nice To Haves

• PhD or Equivalent to a PhD graduate student who has successfully defended his/his PhD dissertation in the areas of computational science, computer science, mathematics, or statistics.
• Four years of experience in AI weather forecasting research, statistical analysis of climate science data, and excellent Python coding and machine learning skills.

Responsibilities

• Data science and machine learning applications to the ocean data and weather models: 10%.
• Python coding for weather maps and SDSU FCN model: 18%.
• Paper writing for journal publications: 20%.
• Develop initial conditions for the FCN AI weather forecasting model: 30%.
• Train AI models and make real-time global weather forecasting for hurricanes: 10%.
• Collaborate with and supervise the FCN team using SDSU GPUs and AWS cloud computing: 5%.
• Present FCN research results at conferences: 2%.
• SCIL lab management: 1%.
• Management of group meetings: 1%.
• Group meeting management: 1%.
• Apply for grants: 1%.
• Write meeting summaries: 1%.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees