Information Technology Specialist (Machine Learning)(pos#0097629T)

Title: Information Technology Specialist (Machine Learning)
Position Number:T
Hiring Unit: College of Arts & Sciences Geography
Location: UH Hilo
Date Posted: October 13 2026
Closing Date: October 28 2026
Band: A
Salary:salary schedules and placement information
Additional Salary Information: PBA minimum $4627/month
Full Time/Part Time: Part-time (20 hrs/week)
Temporary/Permanent: Temporary

Other Conditions: Appointment to begin approximately November 2026 pending position clearance and availability of funding.

Position Overview

The University of Hawaii at Hilo (UH Hilo) is a public liberal arts and sciences university on the Island of Hawaii recognized for its integration of cultural immersion and place-based research that leverages the islands extraordinary geological biological and cultural diversity. A comprehensive regional campus within the ten-campus University of Hawaii system UH Hilo offers high-quality undergraduate and select postgraduate education with distinctive strengths in areas such as marine science geology astronomy and Hawaiian language revitalization while advancing research scholarship and creative activity that support community needs environmental stewardship Indigenous knowledge systems and workforce development priorities for the State of Hawaii.

The mission of the Spatial Data Analysis and Visualization (SDAV) research lab at UH Hilo is to apply geospatial tools to environmental problems of local significance and to disseminate geospatial tools and knowledge to the larger island community through education and outreach activities. Our lab utilizes a suite of geospatial technologies such as small unmanned aerial system (sUAS) platforms LiDAR and hyperspectral imaging to support ongoing research and educational projects.

The Information Technology Specialist (Machine Learning) position within the UH Hilo SDAV Research laboratory is responsible for maintaining and updating the code and computer hardware and software required to carry out our research tasks relating to machine learning.

Duties and Responsibilities (*denotes essential functions):

1. *Follows and implements directives and guidance related to best practices from University of Hawaii System Information Technology Services.
2. *Ensures the consistent adoption implementation and enforcement of recommendations issued through University of Hawaii System Information Technology Service.
3. *Keeps abreast of recommendations issued through University of Hawaii System Information Technology Service and takes timely action as needed.
4. Provides staff support in the following field of assignment or subject matter area: Machine Learning.
5. Supports senior associates in the performance of specific work assignments such as maintaining SDAV research labs machine learning (ML) code base training and retraining ML models as needed for research project goals and performing statistical analysis to improve ML models.
6. Plans coordinates analyzes and/or supports work within the subject matter area of ML.
7. Works with supervisor and subject matter specialists to ensure accuracy and adequacy of work.
8. Serves as a source of support for completion of projects in/of/related to ML and object detection.
9. Maintains evaluates tests operates calibrates and/or develops equipment or components e.g. ML-related hardware and software.
10. Installs tests documents and maintains systems and network hardware including firmware upgrades.
11. Assists with backup and recovery procedures.
12. Installs tests and maintains software products and upgrades.
13. Assists when problems occur with applications and hardware.
14. Performs technical problem diagnostics and problem resolution with the assistance of systems administrators developers application change-management administrators and vendor technical support as necessary.
15. Provides hardware support such as installation of network cards and reformatting of hard disk drives when required.
16. Keeps current on rapid developments and emerging technologies by researching articles in journals periodicals technical manuals & by attending classes conferences presentations and self-directed study methods.
17. Other duties as assigned

1. Possession of a baccalaureate educational degree in Data Science or related field and 2 year(s) of progressively responsible professional information technology experience with responsibilities for machine learning; or any equivalent combination of education and/or professional work experience which provides the required education knowledge skills and abilities as indicated.
2. Functional knowledge of machine learning and coding demonstrated by knowledge understanding and ability to apply principles concepts methodology and terminology.
3. Functional knowledge and understanding of technology systems hardware and software associated with Python Linux CUDA Conda Git WSL Tensor Pytorch Slurm Windows 10/11 Synology NAS PC hardware installation and basic networking.
4. Demonstrated ability to recognize problems identify possible causes and resolve routine problems in the area of machine learning.
5. Ability to comprehend interpret and implement administrative directives and guidance to ensure IT operations align with organizational standards and industry best practices.
6. Demonstrated ability to understand oral and written documentation write reports and procedures and communicate effectively in a variety of situations.
7. Demonstrated ability to establish and maintain effective working relationships with internal and external organizations groups team members and individuals.
8. Ability to lift and carry up to thirty (30) pounds unassisted.

1. Experience working with conservation projects in Hawaii.
2. Experience with Deep Forest python package and YOLO.
3. Experience identifying invasive and native Hawaiian flora and fauna and identifying symptoms associated with Rapid Ohia Death.

1. Cover letter explaining how each minimum and desirable qualification is met.
2. Current resume.
3. The names and addresses email addresses and telephone numbers of three 3 current
   professional references.
4. Transcript(s) showing degrees and course work appropriate to the position (copies are
   acceptable; however original official transcripts will be required prior to employment).