[ES_JOBS_NET] Job Opening: Postdoctoral Researcher (ML/AI for WEATHER)- University of Hawaii at Manoa, Honolulu, HI, USA

[Christina Karamperidou]

Job Opening: Postdoctoral Researcher (ML/AI for WEATHER)

Department of Atmospheric Sciences, School of Ocean and Earth Science and Technology, University of Hawaii at Manoa, Honolulu, HI, USA

 Summary

We are seeking a Postdoctoral Researcher who will conduct research on tropical and extratropical weather extremes. This primarily includes the development and application of machine learning/artificial intelligence (ML/AI) models, advanced statistical analysis, design and performance of targeted dynamical and ML/AI model experiments, as well as development of theory, analysis of ocean and atmosphere observations and experiments with state-of-the-art coupled general circulation models and ML/AI models.

The researcher will work under the supervision of Prof. Christina Karamperidou at the Department of Atmospheric Sciences, University of Hawaii at Manoa (Honolulu, HI, USA). 

Qualifications: 

-        Education: PhD from an accredited college or university in Atmospheric Science, Environmental Science, Engineering, Applied Math of Physics, Computer/Data Science or related field. (PhD candidates may apply but must submit evidence of PhD completion upon hire.)

-        Experience: One to three (1-3) years of research experience using numerical and machine learning models; analyzing numerical model output data; presenting scientific results to scientific and general audiences; writing reports and manuscripts for scientific publications.

-        Knowledge: Strong foundation in atmospheric dynamics and background in machine learning and familiarity with analyzing numerical model output. 

-        Abilities & skills: Ability to conduct research and work collaboratively with colleagues. Ability to develop machine learning models, and analyze model experiments. Strong communication and scientific writing skills. Proficiency in computer applications skills, and working with high-performance computing clusters. Post Offer/Employment Condition: Must be able to complete the UH Information Security Awareness Training (ISAT) within two (2) weeks from date of hire, and re-certify every twelve (12) months.  

-        Secondary qualifications: Proficiency in Python and experience with machine-learning frameworks such as TensorFlow, Keras, or PyTorch. Experience running ML/AI-based weather forecasting models or numerical dynamical models (e.g., regional or global circulation models).


For more information and to apply: Visit  https://tinyurl.com/hrx87fnf <https://urldefense.com/v3/__https://tinyurl.com/hrx87fnf__;!!BDUfV1Et5lrpZQ!TYFiaLI8POlt645JJietzSLi_cMC4NIWB12zhC1gXiplZcQLHzeplNDMxQ9nkB64XAKH0WHbnjwlX2_TEVmlkQLi$>
Closing date: March 20 2026, or until filled
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mailman.ucar.edu/pipermail/es_jobs_net/attachments/20260306/084f6ed2/attachment.htm>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: smime.p7s
Type: application/pkcs7-signature
Size: 1427 bytes
Desc: not available
URL: <https://mailman.ucar.edu/pipermail/es_jobs_net/attachments/20260306/084f6ed2/attachment.p7s>