Postdoctoral Scholar - Chattopadhyay Lab
Position overview
Position title: Postdoctoral Scholar - Chattopadhyay LabApplication Window
Open date: November 19, 2024
Next review date: Saturday, Mar 1, 2025 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Saturday, Mar 1, 2025 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date.
Position description
The Department of Applied Mathematics at the University of California, Santa Cruz (UCSC) invites applications for postdoctoral scholars. Under the direction of Assistant Professor Ashesh Chattopadhyay, the postdoctoral scholar will be responsible for working on the proposed tasks of a recently funded NSF project on building physically-consistent AI emulators for the climate system.
Applicants with expertise in building large-scale deep learning models and experience in handling Earth system model outputs or reanalysis data (ERA5, NCEP) or previous experience with training scientific machine learning models on physical data are particularly encouraged to apply.
APPLICATION REQUIREMENTS
All documents and materials must be submitted as PDFs and should be forwarded to Ashesh Chattopadhyay at aschatto@ucsc.edu.
Please refer to Position #JPF01844 in all correspondence.
Documents/Materials
- Letter of application that briefly summarizes your qualifications and interest in the position (required).
- Curriculum vitae (required).
- Two peer-reviewed published articles that the applicant has authored (required).
- List of professional references (3-4) that includes their contact information; only references of those applicants who are under serious consideration will be contacted (required).
- Statement of contributions to diversity, equity, and inclusion: Statement addressing your understanding of the barriers facing traditionally underrepresented groups and your past and/or future contributions to diversity, equity, and inclusion through teaching and professional or public service. Candidates are urged to review guidelines on statements (see https://apo.ucsc.edu/diversity.html) before preparing their application (optional).
Theoretical and Applied Complex Systems Lab: https://sites.google.com/view/ashesh6810/home
Applied Mathematics Department: https://engineering.ucsc.edu/departments/applied-mathematics/
Qualifications
- Numerical and programming skills.
- Experience with machine learning models.
- Experience running models on HPC infrastructure.
- Experience dealing with either fluid dynamics and/or large complex climate datasets.
- Ph.D. (or equivalent foreign degree) in atmospheric, oceanic, or earth sciences; mechanical engineering; applied mathematics; computer science; or a related discipline.
- Dealing with global climate model outputs
- Ability to write pytorch or JAX models and run them
- Training or running AI weather models like FourCastNet, GraphCast, Fuxi, etc
- Some understanding of atmospheric physics and dynamics
Help contact: aschatto@ucsc.edu
About UC Santa Cruz
The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. UC Santa Cruz is committed to excellence through diversity and strives to establish a climate that welcomes, celebrates, and promotes respect for the contributions of all students and employees. Inquiries regarding the University’s equal employment opportunity policies may be directed to the Equity and Equal Protection Office at the University of California, Santa Cruz, CA 95064 or by email at equity@ucsc.edu.
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