Research Assistant - AI, NLP & Human-Centered Tech

The Howard University; Ypsilanti (MI); On-site; USD 29,000 - 43,000; Full time

Benefits offered by this job

Health benefits

PTO & holidays

403(b) match

Tuition reimbursement

Career development

Wellness programs

Commuter benefits

Vibrant culture

Job summary

Howard University seeks a Research Assistant to support user testing and user-centered design of biometric technologies for audio captcha research. You will engage in regular sponsor updates, prepare briefs, and contribute to project deliverables using rigorous scientific methods.

The role involves collaborating with the RITA HQ Team, supervising undergraduates, and presenting findings through papers and talks to stakeholders. Bachelor’s in CS/CE/IS and ML/Data Science experience are preferred.

Qualifications

• Bachelor of Science in CS/CE/IS; 5+ years in ML and data science.
• Strong programming experience in Python, Java, C/C, and R.
• Experience with ML frameworks and data processing formats such as JSON/XML.

Responsibilities

• Assist with AI research initiatives from conception to implementation.
• Analyze research data and translate findings into actionable insights.
• Collaborate across disciplines to integrate diverse expertise.
• Disseminate knowledge through scholarly papers and presentations.
• Design and validate NLP techniques and contribute to innovative solutions.
• Support development and evaluation of human-machine interfaces and system integration.

Skills

Python

Java

C++

C

R

scikit-learn

TensorFlow

PyTorch

JSON

XML

Communication

Education

BS in CS/CE/IS

Tools

scikit-learn

TensorFlow

PyTorch

JSON

XML

Job description

Howard University seeks a Research Assistant to support user testing and user-centered design of biometric technologies for audio captcha research. You will engage in regular sponsor updates, prepare briefs, and contribute to project deliverables using rigorous scientific methods.

The role involves collaborating with the RITA HQ Team, supervising undergraduates, and presenting findings through papers and talks to stakeholders. Bachelor’s in CS/CE/IS and ML/Data Science experience are preferred.