BEE Lab Technical Assistant

Special Instructions for more details.

When applying you will be required to attach the following electronic documents:

• A Cover Letter clearly stating how you meet requirements.

We are an Equal Opportunity Employer, including disability, protected veteran, and other protected status.

OSU will conduct a review of the National Sex Offender Public website prior to hire.

Note:

All job offers are contingent upon Human Resources final approval.

Job Title:

BEE Lab Technical Assistant

Appointment Type:
Student Employee

Job Location:

Department of Biological & Ecological Engineering, Oregon State University

Appointment Percent: 100%

Appointment Basis: 12

Pay Method:
Hourly

Pay Period: 16th - 15th of the following month

Pay Date:
Last working day of the month

Min Hourly Rate:
Standard $15.05;
Non-Urban $14.05;
Portland Metro $16.30

Max Hourly Rate:
Standard $21.50;
Non-Urban $19.50;
Portland Metro $22.00

This recruitment will fill one part‑time Student Technical position for the Department of Biological & Ecological Engineering at Oregon State University.

Smart‑TAP (Smart Technical Assistance Platform) is an interdisciplinary research initiative that integrates data, modeling, and AI‑enabled tools to support agricultural water management and decision‑making.

This role will support Smart‑TAP Pilot 2, focusing on developing and testing analytical and machine learning components that can be deployed within a broader Function‑as‑a‑Service (FaaS) architecture.

OSU is committed to ensuring students are prepared for success after graduation through intentional skill development as student employees. Students learn vital career‑readiness skills in the primary area of Critical Thinking, Teamwork, and Professionalism
.

• Machine learning model development (60%): Develop, test, and refine machine learning models using agricultural, environmental, or sensor‑based datasets. Includes data preprocessing, model training, evaluation, and iteration to support Smart‑TAP Pilot 2 case studies.
• Integration support with FaaS workflows (20%): Coordinate with other students and technical staff responsible for FaaS infrastructure to ensure machine learning models can be deployed or triggered within existing workflows.
• Collaboration and technical communication (10%): Participate in project meetings, discuss modeling choices with faculty and collaborators, and respond to feedback from pilot case study leads.
• Documentation and reproducibility (10%): Document modeling approaches, assumptions, and results using Git Hub repositories, README files, and basic usage notes to support reproducibility and reuse.

• Basic programming experience in Python, directly related to data analysis and machine learning tasks.
• Coursework or practical experience related to data analysis, modeling, or machine learning.
• Ability to work independently on technical tasks while coordinating with a multidisciplinary team.
• Written communication skills sufficient to document methods and results.

• Experience developing or applying machine learning models for real‑world datasets.
• Familiarity with cloud computing concepts (e.g., APIs, cloud storage) to support coordination with FaaS workflows.
• Experience working with environmental, agricultural, or sensor‑based data.
• Experience using Git or Git Hub for version control and collaborative development.

For more information on this position, please email malena.orduna.

Posting Number: P12785SE

Number of Vacancies: 1

Anticipated Appointment Begin Date: 02/18/2026

Posting Date: 01/27/2026

Full Consideration Date: 02/10/2026

Closing Date: 02/17/2026

• A Cover Letter clearly stating how you meet requirements.

We are an Equal Opportunity Employer, including disability, protected veteran, and other protected status.

OSU will conduct a review of the National Sex Offender Public website prior to hire.

Note:

All job offers are contingent upon Human Resources final approval.