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

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

Salary

See Position Description

Location

UH Hilo, Hilo, HI

Job Type

Part-Time Temporary

Job Number

2026-02202

Department

University of Hawaii at Hilo

Division

College of Arts and Sciences - Geography

Opening Date

10/14/2026

Closing Date

10/28/2026 11:59 PM Hawaii

Position Number:

0097629T

Description

Title: Information Technology Specialist (Machine Learning)

Position Number: 0097629T

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):

• *Follows and implements directives and guidance related to best practices from University of Hawaii System Information Technology Services.
• *Ensures the consistent adoption, implementation, and enforcement of recommendations issued through University of Hawaii System Information Technology Service.
• *Keeps abreast of recommendations issued through University of Hawaii System Information Technology Service, and takes timely action as needed.
• Provides staff support in the following field of assignment or subject matter area: Machine Learning.
• 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.
• Plans, coordinates, analyzes, and/or supports work within the subject matter area of ML.
• Works with supervisor and subject matter specialists to ensure accuracy and adequacy of work.
• Serves as a source of support for completion of projects in/of/related to ML and object detection.
• Maintains, evaluates, tests, operates, calibrates, and/or develops equipment or components, e.g., ML-related hardware and software.
• Installs, tests, documents, and maintains systems and network hardware, including firmware upgrades.
• Assists with backup and recovery procedures.
• Installs, tests, and maintains software products and upgrades.
• Assists when problems occur with applications and hardware.
• Performs technical problem diagnostics and problem resolution with the assistance of systems administrators, developers, application change-management administrators, and vendor technical support as necessary.
• Provides hardware support such as installation of network cards, and reformatting of hard disk drives when required.
• 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.
• Other duties as assigned

Minimum Qualifications

• 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.
• Functional knowledge of machine learning and coding demonstrated by knowledge, understanding and ability to apply principles, concepts, methodology and terminology.
• 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.
• Demonstrated ability to recognize problems, identify possible causes and resolve routine problems in the area of machine learning.
• Ability to comprehend, interpret and implement administrative directives and guidance to ensure IT operations align with organizational standards and industry best practices.
• Demonstrated ability to understand oral and written documentation, write reports and procedures, and communicate effectively in a variety of situations.
• Demonstrated ability to establish and maintain effective working relationships with internal and external organizations, groups, team members and individuals.
• Ability to lift and carry up to thirty (30) pounds unassisted.

Desirable Qualifications

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

To Apply: Click on the "Apply" button on the top right corner of the screen to complete an application and attach each required document. A complete application must include:

• Cover letter explaining how each minimum and desirable qualification is met.
• Current resume.
• The names and addresses, email addresses and telephone numbers of three [3] current

professional references.

• Transcript(s) showing degrees and course work appropriate to the position (copies are

acceptable; however, original official transcripts will be required prior to employment).

Please do not include any self-identifying photos. Please redact references to Social Security number and birth date on transcript copies. Copy of diplomas will NOT be accepted. Documents issued from an institution outside the United States of America require a course-by-course analysis with an equivalency statement from an agency having membership with the National Association of Credential Evaluation Services, Inc., verifying the degree equivalency to that of an accredited institution within the USA. Expense of the evaluation shall be borne by the applicant. All requested documents/information become the property of the University. All minimum qualifications must be met by the closing date.

Note: If you have not applied for a position before using NeoGov, you will need to create an account.

Inquiries: Ryan Perroy, rperroy@hawaii.edu

EEO, Clery Act, ADA

The University of Hawaii is an Equal Opportunity Institution and is committed to a policy of nondiscrimination in employment, including on the basis of veteran and disability status. For more information, visit: https://www.hawaii.edu/offices/eeo/policies/

Employment is contingent on satisfying employment eligibility verification requirements of the Immigration Reform and Control Act of 1986; reference checks of previous employers; and for certain positions, criminal history record checks.

In accordance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, annual campus crime statistics for the University of Hawaii may be viewed at: https://www.hawaii.edu/titleix/help/campus-security/, or a paper copy may be obtained upon request from the respective UH Campus Security or Administrative Services Office.

In accordance with Article 10 of the unit 08 collective bargaining agreement, bargaining unit members receive priority consideration for APT job vacancies. As a result, external or non BU 08 applicants may not be considered for some APT vacancies. BU 08 members with re-employment rights or priority status are responsible for informing the hiring unit of their status.

Accommodation Request: The University of Hawaii complies with the provisions of the Americans with Disabilities Act (ADA). Applicants requiring a reasonable accommodation for any part of the application and hiring process should contact the EEO coordinator directly. Determination on requests for reasonable accommodation will be made on a case-by-case basis. For further information, please refer to the following link: https://www.hawaii.edu/offices/eeo/accommodation-request/

Equal Opportunity Employer / Veterans / Disabled

Employer University of Hawaii

Department University of Hawaii at Hilo Address 200 W. Kawili Street

Hilo, Hawaii, 96720

Website http://workatuh.hawaii.edu