This job is closed
Applications are no longer available for this announcement. Explore current related opportunities below.
Job description
Department : Fin, Inf Sys, Econ & Risk Mgmt Salary : $12.00 per hour
Description :
The FISER Department is seeking Student Research Assistants to support the development and pilot testing of Smart Pathways-an AI-driven mobile application funded by the Powell Foundation that utilizes natural language processing (NLP) and machine learning (ML) to assist underserved Houston students in navigating the college application process.
Responsibilities & Duties:
Programming & System Development: Assist in coding, developing, and testing AI components, mobile app features, and role-based access workflows for the minimum viable product (MVP).
Data & System Testing: Perform data collection, system testing, user interface evaluation, and statistical analysis on pilot data sets.
Documentation & Review: Review technical documentation, check facts, proofread research reports, and maintain project code repositories.
Dissemination Support: Prepare presentation slides, tables, graphs, and posters to assist faculty researchers in presenting findings and preparing grant progress reports.
Technical Maintenance: Support the maintenance of software tools, hardware, and development environments required for the grant project
Knowledge, Skills, and Abilites:
Core Competencies:
o Strong analytical, problem-solving, and critical thinking skills.
o Proficiency with standard office and technical documentation tools (spreadsheets, slides, data tables).
o Excellent written and verbal communication skills in English.
o Demonstrated ability to work collaboratively in a team environment.
Qualifications: Educational Background: Currently enrolled undergraduate or graduate student in Computer Science, Computer Information Systems (CIS/MIS), Data Science, or a related computing field.
Technical Skills: Prior experience or coursework in programming, software/system development, data analysis, or mobile app design. (Experience or interest in AI, Natural Language Processing, or Machine Learning is a plus).
All positions at the University of Houston-System are security sensitive and will require a criminal history check.
The University of Houston System and its universities are Equal Opportunity Institutions. Everyone is encouraged to apply.
Worksite address
houston, TX, 77246, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.