Machine Learning Scientist: Technical Expert

USNH Employees should apply within Workday through the Jobs Hub app

The Earth System Research Center is recruiting a computer scientist to support research in the scientific understanding of shallow snowpacks and frozen ground with consideration of snow and vegetation interactions using remote sensing via unpiloted aerial vehicle (UAV) and satellite platforms. The successful candidate will work with a team of engineers, snow scientists, and forest ecologists within the ESRC/EOS at the University of New Hampshire. The appropriate candidate will have cutting edge knowledge of machine learning and computer vision methods. Responsibility will include developing and document applications, supporting high level thinking and organization of overall strategies, and conducting literature review. Not essential staff.

Duties/Responsibilities

Develop Applications (40%):

• Develop and document applications targeted to identify snow states and fluxes using camera, UAV, and remotely sensed datasets.

• Create github libraries of methods and codes.

Expert Support (40%):

• Support the research team members developing and document machine learning and computer vision applications through meetings and written guidance including recommendation of methods, production and optimization of computer codes.

• Write methods sections appropriate for technical reports and peer reviewed manuscripts.

Literature Review (20%):

• Develop targeted machine learning and computer vision methods literature reviews.

Minimum Qualifications

Minimum Acceptable Education & Experience:

• Doctorate in computer science and knowledge of code regions processes and snow hydrology gain which may be gained through experience.

Applicant Instructions:

Applicants should be prepared to upload the following documents when applying online within the Resume/Cover Letter section of your application:

• Resume/CV

Applications that are missing any of the required items may not move forward for consideration.  Additional uploaded documents not requested in the position announcement will not be reviewed.

Please be advised that this position is supported by external sponsor funding. As such, continued employment in this role is contingent upon the availability of those external funds. If, for any reason, the sponsor funding is reduced or discontinued, employment may be subject to modification or termination in accordance with applicable policies and procedures. 

The University of New Hampshire is an R1 Carnegie classification research institution providing comprehensive, high-quality undergraduate and graduate programs of distinction. UNH is located in Durham on a 188-acre campus, 60 miles north of Boston and 8 miles from the Atlantic coast and is convenient to New Hampshire’s lakes and mountains. There is a student enrollment of 13,000 students, with a full-time faculty of over 600, offering 90 undergraduate and more than 70 graduate programs. The University actively promotes a dynamic learning environment in which qualified individuals of differing perspectives, life experiences, and cultural backgrounds pursue academic goals with mutual respect and shared inquiry.

EEO Statement

The University System of New Hampshire is an Equal Opportunity/Equal Access employer. The University System is committed to creating an environment that values and supports diversity and inclusiveness across our campus communities and encourages applications from qualified individuals who will help us achieve this mission. The University System prohibits discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, genetic information, veteran status, or marital status.

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