Staff Research Associate 3

Position Summary The University of California Los Angeles (UCLA) is seeking a highly motivated and creative machine learning scientist with expertise in image segmentation. The selected candidate will work with the principal investigator to implement and parameterize a computer vision deep learning model to classify giant kelp canopy from high resolution satellite imagery. Additional tasks will include developing models to extract sandy beach and dune features from high resolution satellite and drone imagery. Preference will be given to candidates who have demonstrated creative approaches to analyzing remote sensing data of coastal ecosystems. The successful candidate should have strong quantitative skills, proficiency in programming languages including Python and Matlab, proficiency in deep learning and computer vision tools such as PyTorch, TensorFlow, OpenCV, and Open3D, excellent written and oral communication skills, and an interest in publishing the results of the research. This position is primarily remote; the research associate will need to collaborate frequently with faculty supervision.

Salary & Compensation

UCLA provides a full pay range. Actual salary offers consider factors, including budget, prior experience, skills, knowledge, abilities, education, licensure and certifications, and other business considerations. Salary offers at the top of the range are not common. Visit UC Benefit package to discover benefits that start on day one, and UC Total Compensation Estimator to calculate the total compensation value with benefits.

Qualifications

5 Years+ Minimum of 5 years of relevant postgraduate experience in building and deploying computer vision deep learning models. (Required)

Strong background in environmental remote sensing. (Required)

Experience with managing large data sets and interpreting multiple data formats, such as netCDF, geotiffs, etc. (Required)

Demonstrated advanced knowledge of programming with C++, Python and/or Matlab. (Required)

Demonstrated advanced knowledge of deep learning and computer vision packages including PyTorch, TensorFlow, OpenCV, and/or Open3D. (Required)

Experience in model testing and validation. (Required)

Excellent oral and written communication skills to communicate effectively and professionally with people at multiple institutions. (Required)

Experience writing, editing, and revising journal articles and documentation. (Required)

Bachelor's Degree in Geography, Environmental Science, Engineering, Computer Science, or a related discipline and/or equivalent experience / training. (Required)

Special Conditions for Employment

Background Check: Continued employment is contingent upon the completion of a satisfactory background investigation.

Live Scan Background Check: A Live Scan background check must be completed prior to the start of employment.

Schedule Variable

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