[ES_JOBS_NET] University of Maryland - Postdoc in Remote Sensing Data Science

[Veljko Petkovic]

Post-Doctoral Research Associate in Remote Sensing Data Science at University of Maryland <https://essic.umd.edu/joom2/index.php/employment/3141-post-doctoral-research-associate-in-remote-sensing>Institution: University of Maryland, College Park, Maryland, USA
Closing Date: Open until filled
Salary: Commensurate with experience 
Location: College Park, Maryland
Duration: 1 year, with a potential for extension based on performance (up to 3 additional years)

Position: Seeking a highly motivated and skilled researcher to join our team and contribute to projects focused on understanding and improving satellite observations of Earth systems, with a special interest in storm morphology and atmospheric and surface properties. The successful candidate will play a key role in delivering global analyses of cloud distributions, atmospheric column characteristics and validation of satellite retrievals relevant to understanding of the Earth's climate system. The work is part of NOAA- and NASA-funded projects. 

Responsibilities:
	• Help with development and implementation of Machine Learning (ML) algorithms and models to define links between atmospheric properties and radiances collected by satellite and ground instrumentation.
	• Conduct extensive analysis of satellite- and ground-based data relevant to precipitating systems.
	• Collaborate with a multidisciplinary team of scientists to integrate the developed ML methods into existing research frameworks.
	• Contribute to the publication of research findings in high-impact scientific journals

Qualifications, Expectations and Requirements:
	• Ph.D. in Environmental Science, Atmospheric Science, Computer Science, Engineering or a related field, or MS degree with 5+ years of experience.
	• Prior knowledge and hands-on experience in ML algorithm implementation.
	• Proficiency in Python programming language and ML-oriented tools, such TensorFlow, and/or PyTorch.
	• Good understanding of Unix/Linux OS and scripting; familiarity with common data formats, such as NetCDF, HDF5, buffer.
	• Excellent skills in manipulating large volumes of data.
	• Prior experience in data visualization using Python tools.
	• Experience with satellite data analysis and retrieval techniques is highly desirable.
	• Knowledge of hydrometeorology, cloud physics and atmospheric processes is an advantage.
	• Demonstrated ability to work independently and as part of a team.
	• Excellent oral and written communication skills in English.


To Apply: Follow the link to the posting:
https://essic.umd.edu/joom2/index.php/employment/3141-post-doctoral-research-associate-in-remote-sensing
 
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