Research Assistant

The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission.

At Howard University, we prioritize well-being and professional growth.

Here is what we offer:

• Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
• Work-Life Balance: PTO, paid holidays, flexible work arrangements
• Financial Wellness: Competitive salary, 403(b) with company match
• Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
• Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture

Join Howard University and thrive with us!

https://hr.howard.edu/benefits-wellness

JOB PURPOSE:

Research Assistant will assist with user testing and user centered design of biometric technologies necessary for creating audio captcha technology. The candidate should be well-informed about the scientific method, human subjects research, and data analysis using computational and statistical techniques. The Research Assistant will assist in preparation of briefs to the sponsor and engage in regular meeting updates to the sponsor on project deliverables.

SUPERVISORY AUTHORITY:

Research Assistant will supervise and work alongside the undergraduate students. Research Assistant will contribute towards monthly reports, quarterly reports and scientific publications.

NATURE AND SCOPE:

Internal contacts include RITA HQ Team and the entire Howard University community. External contacts include as directed.

PRINCIPAL ACCOUNTABILITIES:

• Assist with AI research initiatives from conception to implementation.
• Analyze research data critically, translating findings into actionable insights.
• Collaborate across disciplines, integrating diverse expertise into your work.
• Disseminate knowledge through scholarly papers and compelling presentations to stakeholders.
• Design and validate NLP techniques, contributing to the broader field with innovative solutions.
• Engage in developing and evaluating human-machine interfaces and systems integration, enhancing human performance through technology.

CORE COMPETENCIES:

Mastery of programming languages (Python, Java, C++, C, R) and command-line scripting.

• Expertise in ML frameworks (scikit-learn, TensorFlow, PyTorch) and data processing (JSON, XML).
• Exceptional communication and collaborative skills.

MINIMUM REQUIREMENTS:

Bachelor of Science in Computer Science, Computer Engineering, Information Systems,5+ years in machine learning and data science; advanced degrees may offset experience requirements

Compliance Salary Range Disclosure