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Position Details

Advertising/Posting Title Assistant Director AI/ML Ecosystem Monitoring

Posting Summary

Serve as the Assistant Director AI/ML Ecosystem Monitoring, reporting directly to the Director of the SAL , responsible for leading the Alliance for Monitoring Biodiversity and Ecosystems Remotely ( AMBER ) program. Develop and manage the AMBER AI/ML pipeline for monitoring and mapping wildlife with trail cameras and audio recorders, provide outreach and educational services to existing and new wildlife monitoring partners. Collaborate with SAL director and associate director on grant writing, business development, and independently pursue outside funding opportunities. Support the SAL Financial Manager to facilitate AMBER income and expense reports. Partner with geospatial analysts and development team lead on research and development of new AI/ML methods and models for mapping, classification, and detection of wildlife or other features.

Minimum Qualifications (or equivalent combination of education and experience)

-Ph.D. in computer science or wildlife biology

-Minimum of 3 years of post-doc experience

- Experience in raising grant funding

-Expertise in using and developing machine learning techniques for identifying wildlife or other objects captured in images or recordings.

-In depth understanding of R and Python coding languages and ability to develop and maintain packages

- Substantial experience in working with wildlife monitoring partners

- High proficiency in public outreach and instruction

Desirable Qualifications

5+ years experience with automated wildlife monitoring and machine learning development

Anticipated Pay Range $54,000 - $60,000 0.8 FTE ($67,500 to $75,000 annually)

Other Information

Special Conditions Open to current UVM employees only , A probationary period may be required, Contingent on continued funding, Occasional evening and/or weekends required (if non-exempt position, may result in overtime), Travel to and from worksites required, This position is eligible for a hybrid schedule with an option to split time between campus and elsewhere, in accordance with the university telecommuting policy, Background Check required for this position

FLSA Exempt

Union Position Yes, UVMSU

Posting Details

Position will be posted for a minimum of one week, after which it is subject to removal without notice.

Job Location Burlington, Vermont, United States

Job Open Date 01/09/2026

Job Close Date (Jobs close at 11:59 PM EST.)

Open Until Filled No

Our Common Ground Statement

The University of Vermont is a welcoming, educationally purposeful community committed to creating an inclusive environment that embraces intellectual diversity and global perspectives. We seek to prepare students to be accountable leaders who will bring to their work a grasp of complexity, effective problem-solving and communication skills, and an enduring commitment to learning and ethical conduct. Members of the University of Vermont community embrace and advance the values of Our Common Ground: Respect, Integrity, Innovation, Openness, Justice, and Responsibility. Staff play a critical role in this effort and the successful candidate will demonstrate a strong commitment to UVM’s mission and advancing Our Common Ground values through the execution of their job duties.

Position Information

Position Title Research Collaborator PC4 X

Posting Number S5900PO

Department Rubenstein Sch Env & Nat Res/57000

Position Number 00027774

Percent of Full-Time 0.80

Standard Hours at 1.0 FTE 37.5

Term (months per year) 12

Supplemental Questions

Required fields are indicated with an asterisk (*).

Documents Needed to Apply

Required Documents

+ Resume

+ Cover Letter/Letter of Application

Optional Documents

+ Other Document (1)