Assistant Specialist - Controlled Environment Engineering (CEE) Lab

UC Davis College of Engineering; Davis (CA); On-site; USD 60,000 - 80,000; Full time

Job summary

The UC Davis College of Engineering is seeking an Assistant Specialist for the Controlled Environment Engineering Lab. This role involves providing technical expertise, supporting research projects in AI and controlled environment agriculture, and collaborating with faculty and students. Ideal candidates will have an MS degree and experience in machine learning and AI applications.

Qualifications

• MS degree in Computer Science, Data Science, Electrical Engineering or related fields.
• Experience with machine learning and AI modeling.
• Proficiency in Python, MATLAB, or similar programming languages.

Responsibilities

• Assist in developing AI-driven models for controlled environment agriculture.
• Conduct data collection and analysis for AI-based control systems.
• Collaborate with faculty and researchers to achieve research goals.

Skills

Machine Learning

AI Modeling

Data Processing

Sensor Integration

Communication

Education

MS in Computer Science and Engineering

MS in Data Science

MS in Electrical Engineering

MS in Statistics

Tools

Python

MATLAB

LabVIEW

Job description

Assistant Specialist - Controlled Environment Engineering (CEE) Lab

Join to apply for the Assistant Specialist - Controlled Environment Engineering (CEE) Lab role at UC Davis College of Engineering

Position overview

Salary range: An estimated hourly rate of $29.32 - $32.72.

Application window

Open date: February 21, 2025

Most recent review date: Saturday, Mar 8, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed if the position remains unfilled.

Final date: Monday, Jun 30, 2025 at 11:59pm (Pacific Time)

Applications are accepted until this date; late applications will be considered only if the position is still open.

Position description

Nature and purpose: The Specialist provides technical expertise in areas such as instrumentation and research equipment, supporting research projects. The role involves staying updated on emerging issues, providing leadership, facilitating teamwork, and collaborating with colleagues. While normally not a Principal Investigator, the Specialist may collaborate with PIs for research proposals and funding.

Major responsibilities and areas of expertise

I. Research in specialized areas (88% effort)

• Assist in developing AI-driven models, simulations, and decision-making tools for controlled environment agriculture.
• Support research involving machine learning, cyber-physical systems, and digital twins for indoor farming.
• Conduct data collection, processing, and analysis for AI-based control systems.
• Develop and maintain sensor networks, data acquisition systems, and control algorithms.
• Assist in preparing scientific publications, reports, and grant proposals.
• Collaborate with faculty, researchers, and students to achieve research goals.

II. Professional competence and activity (6% effort)

• Participate in professional societies, technical groups, and research organizations related to AI and controlled environment agriculture.
• Review research proposals, journal manuscripts, and publications on AI-driven crop modeling and digital systems.

III. University and public service (6% effort)

• Maintain collaborations with industry, government, and external stakeholders on AI in controlled environment agriculture.
• Participate in departmental, college, and university committees, providing expertise on AI applications.

Education and expertise

• MS degree in Computer Science and Engineering, Data Science, Electrical Engineering, or related fields.
• Experience with machine learning, AI modeling, and cyber-physical systems in agriculture.
• Proficiency in Python, MATLAB, or similar programming languages.
• Experience with sensor integration, data collection, and calibration (LabVIEW preferred).
• Strong communication skills for research papers and grant proposals.

Lab

https://ceelab.ucdavis.edu/

Qualifications

Basic qualifications (required)

• MS in Statistics or related field.
• Experience developing and training machine learning models.
• Experience processing data to model crop growth.

Preferred qualifications

• Completed coursework in statistical methods, data science, computational statistics, or related areas.

Application requirements

• Curriculum Vitae (latest).
• Optional cover letter.
• Authorization to Release Information Form (mandatory). Download, complete, sign, and upload it: link.

Apply link

https://recruit.ucdavis.edu/JPF06959

Help contact

[e-mail]