Part Time Research Assistant, UMKC Computing, Analytics and Mathematics, 38671

Hiring Department

Computing, Analytics and Mathematics ( Computer Science - Data-Algorithms-Networking-Security (DANS) Lab), School of Science and Engineering at the University of Missouri-Kansas City

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, Networking, Embedded Systems, and Cloud Edge Computing for interdisciplinary applications, including healthcare, farming, and transportation.

The lab is seeking 1 limited-term Research Assistant to assist in the NSF project titled “PFI-TT: Crowd-based Alert and Detection Service to Increase the Safety of People with Special Needs.” led by Drs. Sejun Song (PI) and Bae-Young Choi. The proposed project will develop an intelligent, integrated system for people with special needs that includes multiple safety features, including preventive sentiment analysis, safe zoning, and safe tracking. It also enhances privacy protection and reliability by leveraging the power of crowdsourcing in zoning and tracking. The project includes the development of the following components: i) an intelligent tag system, ii) software-based safety services, iii) beacon stuffing technologies, and iv) a privacy-aware tracking service.

The primary duties of this position are Python-based Machine Learning programming, designing a computational biology approach, and building an IoT-based embedded system. The work will involve IoT devices, mobile programming, computational biology, and a cloud server. If you haven’t done mobile programming, we will have learning and training sessions on React Native (cross-platform development of iOS and Android). Depending on the progress, we might be able to start writing a paper together. The role will include attending research meetings, weekly peer discussions, technical training sessions, and report and research paper writing. Additional work might consist of system experiments and other tasks as needed. Requirements for the position are working well with others, following written instructions and asking questions, attention to detail, a professional attitude, punctuality, and reliability.

  • Bachelor’s degree in Electrical and Computer Engineering, Embedded Systems, or Computer Science
  • Cloud architecture certification (AWS, Google, or Azure)
Anticipated Hiring Range

Commensurate with experience, education, and internal equity

Application Materials

To be considered, you must complete the application which contains two (2) sections: 1. Name and Contact Information 2. Combine all application materials (a letter of interest, curriculum vitae, a list of at least five references) into one PDF or Microsoft Word document and upload as a resume attachment.

Limit document name to 50 characters. Maximum size limit is 11MB. Do not include special characters (e.g., /,&, %, etc.).

If you are experiencing technical problems, please email .

Application Deadline

Open until filled. Application review will begin immediately

Other Information

Temporary (up to 3 months); part-time (20 hours/week) unranked non tenure track position; not eligible for benefits

Candidates must be a US citizen

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 .

Values Commitment

We value the uniqueness of every individual and strive to ensure each person’s success. Contributions from individuals with diverse backgrounds, experiences and perspectives promote intellectual pluralism and enable us to achieve the excellence that we seek in learning, research and engagement. This commitment makes our university a better place to work, learn and innovate.

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 or call Human Resources at 816-235-1621.

To request ADA accommodations, please call the Office of Equity & Title IX at 816-235-6910.

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