[ES_JOBS_NET] Postdoctoral position in AI and physical oceanography

[Maike Sonnewald]

I'm happy to share that we are looking for a postdoc for a three-year
project using AI and remote sensing to identify ocean heat content
variability and fronts.

The candidate will join an international team led by me and X Prochaska
from UC Santa Cruz. More details are below and here
<https://recruit.ucsc.edu/JPF01832>. The position will remain open until
filled.

Thank you,
Maike Sonnewald

Position description

The Ocean Sciences Department at the University of California, Santa Cruz
(UCSC) invites applications for the position, *Postdoctoral Scholar in
Ocean Sciences*. The postdoctoral scholar will work under the direction of
Professor J. Xavier Prochaska of the Astronomy & Astrophysics Department at
UCSC with co-mentoring by Professor Maike Sonnewald at UC Davis. As part of
the Collaborative Research: Leveraging AI to Observe and Predict the
Drivers of Mixed Layer Heat Inventory Variability project, the successful
candidate will be expected to conduct forefront research on topics related
to applying artificial intelligence techniques to oceanographic problems,
particularly focused on understanding ocean fronts and mixed layer heat
inventory variability.

The selected candidate will have access to high-resolution ocean model
outputs, remote sensing data products, and high-performance computing
resources. They will work on developing and applying novel AI techniques,
including Vision Transformers, to analyze and predict ocean dynamics across
scales. The position includes opportunities for interdisciplinary
collaboration with experts in physical oceanography, remote sensing, and
machine learning.

This position will be based at University of California, Santa Cruz and
will work closely with collaborators at UC Davis and other partner
institutions.

Applicants with any of the following qualifications are strongly encouraged
to apply:

   - Scientific computer programming and circulation models
   - Physical oceanography using models, theory, observations, or some
   combination
   - Advanced statistics, supervised and unsupervised machine learning

The hiring unit will not sponsor employment-eligible immigration statuses
for this position.

Ocean Sciences Department: https://science.ucsc.edu/department/ocea/
Qualifications
Basic qualifications (required at the time the application is submitted)

   - Ph.D. (or equivalent foreign degree) in computer science,
   oceanography, physics, applied mathematics, or a related field. Ph.D.
   must be in hand at the time of the appointment (rather than at the time of
   application). However, given the appointment start date is negotiable, but
   will be no later than September 1, 2025, your application must provides
   evidence that your Ph.D. will be completed on or before August 31, 2025.
   - Experience with machine learning techniques, particularly deep
   learning and computer vision.
   - Programming experience in Python and experience with deep learning
   frameworks (e.g., PyTorch, TensorFlow).
   - A demonstrated record of academic writing and communication skills.

Application Requirements
Document requirements

   -

   Curriculum Vitae - Your most recently updated C.V., which must include a
   list of publications and three professional references along with their
   contact information. The search committee will contact the references of
   those applicants who are under serious consideration.
   -

   Statement of Research - Two page research statement that briefly
   summarizes your relevant experience and research plans.

Apply link: https://recruit.ucsc.edu/JPF01832

Help contact: amylkorn at ucsc.edu


*____________*
*Maike Sonnewald*

*Assistant Professor:*

*University of California, Davis*

Affiliate Assistant Professor:
University of Washington


*Research Affiliate:*
NOAA Geophysical Fluid Dynamics Laboratory

Group: compClimate.com
Personal: msonnewald.com
*Pronouns: she/her*
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