Part time Research Aide, UMKC School of Science & Engineering, 82152; 82249
University of Missouri-Kansas City | |
403(b) | |
United States, Missouri, Kansas City | |
Sep 22, 2024 | |
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50795Location
Kansas CityFull/Part Time
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Division of Computing Analytics & Mathematics, UMKC School of Science and Engineering Job Description
Research in the Data-Algorithms-Networking-Security (DANS) lab conducts research projects including Cybersecurity, Machine Learning, Internet-of-Things, Mobile and Wireless Communications, Software Defined Networking, 5G/6G mobile communication, Networking, Embedded Systems, and Cloud Edge Computing for interdisciplinary applications. The lab is seeking part time Research Aide to assist in our NSF CBL Agility project led by Dr. Baek-Young Choi. The primary duties of this position are to:
Qualifications
Anticipated Hiring Range
$18/hr Application Materials
Handling of Application Materials After initial review by the committee all uploaded materials may be shared with all faculty in the prospective home department. For affiliations and joint appointments materials may be shared with all faculty in all departments involved. Application Deadline
Open until filled. Review of applications will begin immediately Other Information
This is a temporary, part time position for 10 weeks to 8 months; would work 10 to 20 hours per week. This position is not eligible for benefits Benefit Eligibility
This position is not eligible for University benefits. Individuals in non benefit eligible positions may choose to participate in the Tax Deferred Annuity Plan (403b). For information about this plan, please visit the Faculty & Staff Benefits website at https://www.umsystem.edu/totalrewards/benefits. Values Commitment In your application materials, please discuss your experiences and expertise that support these values and enrich our missions of teaching, research, and engagement. Equal Employment Opportunity The University of Missouri System is an Equal Opportunity Employer. Equal Opportunity is and shall be provided for all employees and applicants for employment on the basis of their demonstrated ability and competence without unlawful discrimination on the basis of their race, color, national origin, ancestry, religion, sex, pregnancy, sexual orientation, gender identity, gender expression, age, disability, or protected veteran status, or any other status protected by applicable state or federal law. This policy applies to all employment decisions including, but not limited to, recruiting, hiring, training, promotions, pay practices, benefits, disciplinary actions and terminations. For more information, visit https://www.umsystem.edu/ums/hr/eeo or call Human Resources at 816-235-1621. |