Research Scientist,Sr

The Research Scientist, Sr. position at New Mexico State University focuses on enhancing rangeland sustainability through advanced research. Responsibilities include developing a digital ranching dashboard, utilizing machine learning for data analysis, preparing reports, and managing research projects. A doctorate and five years of relevant experience are required. The role is based in Las Cruces, NM, indicating it is not a remote job.
About the position

The Research Scientist, Sr. position at Jornada Experimental Range Headquarters focuses on enhancing sustainability and resilience in rangelands through advanced research. The role involves leading significant scientific research activities, making authoritative decisions, and developing innovative approaches in the field of agricultural science, particularly related to livestock and climate data analysis.

Responsibilities
• Lead the development of a web-based digital ranching dashboard to gather, curate, analyze, and visualize livestock, climate, and remote sensing data.
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• Develop advanced computational intelligence and machine learning techniques to analyze livestock behavior and vegetation patterns.
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• Develop and maintain a scalable data server system and data services.
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• Prepare analyses, reports, and documentation for scientific publications and present findings at various meetings.
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• Prepare grant proposals to secure funding for research activities.
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• Serve as principal investigator on complex research projects and manage a research unit.
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• Maintain knowledge of state-of-the-art technology and systems relevant to the research.
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• Supervise and train undergraduate and graduate students and less experienced project team members.

Requirements
• Doctorate degree in a related field.
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• Five years of professional experience directly related to the standard duties outlined.

Nice-to-haves
• PhD in Computer Science or related field.
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• Track record of publication and presentation of research results in quality journals/conferences in data mining, machine learning, or artificial intelligence.
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• Extensive software development experience.
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• Experience with relational and no-SQL databases.
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• Experience in developing web applications.
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• Experience in independent research and academic contributions.
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• Experience with machine learning frameworks such as scikit-learn, Tensorflow, Keras, or PyTorch.
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• Familiarity with LoRa WAN communication and IoT developments in agriculture.
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• Proficiency in programming languages like Java, Javascript, Python.
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• Familiarity with web frameworks such as Flask, Django, Spring, Bootstrap.
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• Experience with cloud services like AWS, Azure, or GCP.

Benefits