RESEARCH ASST I (Student/Work Study)

University of Michigan-Flint School of Management

Flint (MI)

Hybrid

USD 21,000 - 25,000

Part time

3 days ago

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Job summary

The University of Michigan-Flint invites applications for a Research Assistant I (TEMP) in Flint, MI to support wildlife ecology projects. The role involves classifying camera trap images and maintaining wildlife observation databases using established software and web tools.

Hybrid work is available; you must be an enrolled undergraduate student who has completed BIO 327 and related courses. Strong data management and attention to detail are essential.

Qualifications

Currently enrolled undergraduate student at University of Michigan-Flint.
BIO 327 completed and two of the listed BIO courses or equivalent wildlife experience.
Experience using Google Sheets for data entry, organization, and management.
Ability to learn and effectively use web-based applications and wildlife image classification software.
Strong attention to detail and commitment to accurate, thorough data management.
Ability to work independently, manage assigned responsibilities, and demonstrate initiative as a self-directed learner.
Enthusiasm for wildlife research, species identification, and wildlife ecology.

Responsibilities

Review and classify camera trap images to identify wildlife species using established software.
Maintain, organize, and update wildlife observation databases for data accuracy, consistency, completeness, and accessibility.
Assist with long-term research examining wildlife responses to silvicultural practices in northern hardwood forests across northern Michigan.
Independently manage assigned research tasks, meet project deadlines, and follow established data management and research protocols.
Collaborate with the research team to support data collection, organization, and reporting for wildlife ecology research.

Skills

Data management

Google Sheets

Independent work

Attention to detail

Self-directed learning

Wildlife identification

Enthusiasm for wildlife

Education

BIO 327 completed

BIO 423/480/487/421/459/460/446 coursework

Tools

Camera trap software

Digital classification tools

Wildlife Insights

Job description

Job Summary

This project involves learning standard camera trap software and programs to classify images of wildlife to species. This is part of a long-term research project spanning all of northern Michigan looking at wildlife responses to silviculture in northern hardwoods. The student should have data management skills, be able to identify mammal and bird species that occupy Michigan, and be familiar with descriptive statistics and using webtools.

Responsibilities

Review and classify camera trap images to identify wildlife species, including mammals and birds native to Michigan, using established camera trap software and digital classification tools.
Maintain, organize, and update wildlife observation databases to ensure data accuracy, consistency, completeness, and accessibility.
Assist with ongoing, long-term research examining wildlife responses to silvicultural practices in northern hardwood forests across northern Michigan.
Independently manage assigned research tasks, meet project deadlines, and follow established data management and research protocols.
Collaborate with the research team to support data collection, organization, and reporting for wildlife ecology research.

Required Qualifications

Must be a currently enrolled undergraduate student at the University of Michigan-Flint.
Successful completion of BIO 327 and at least two of the following courses: BIO 423, BIO 480, BIO 487, BIO 421, BIO 459, BIO 460, or BIO 446, or equivalent wildlife-related work or volunteer experience.
Experience using Google Sheets for data entry, organization, and management.
Ability to learn and effectively use web-based applications and wildlife image classification software.
Strong attention to detail and commitment to accurate, thorough data management.
Ability to work independently, manage assigned responsibilities, and demonstrate initiative as a self-directed learner.
Enthusiasm for wildlife research, species identification, and wildlife ecology.

Desired Qualifications

Prior experience with camera trapping, including wildlife image collection, classification, or monitoring.
Earned a grade of B+ or higher in Mammalogy.
Experience using Wildlife Insights or similar wildlife image classification and data management platforms.

Modes of Work

Hybrid The work requirements allow both onsite and offsite work and an employee has an expected recurring onsite presence. On occasion, the employee may be required and must be available to work onsite more frequently if necessitated by unit leadership or their designee and/or the job requirements.

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

Background Screening

The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.

Application Deadline

Temp job openings are posted for a minimum of three calendar days. The review and selection process may begin as early as the fourth day after posting. This opening may be removed from posting boards and filled any time after the minimum posting period has ended.

U-M EEO Statement

The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.

Job Opening ID

284297

Working Title

RESEARCH ASST I (Student/Work Study)

Job Title

RESEARCH ASST I (TEMP)

Work Location

Flint Campus
Flint, MI

Full/Part Time

Part-Time

Regular/Temporary

Temporary