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:

Perform original research at the intersection of AI/ML and cybersecurity, and disseminate the findings through publications in leading conferences (e.g., NeurIPS, ICML, ICLR, AAAI, USENIX Security, IEEE S&P, NDSS) and top-tier journals (e.g., IEEE TAI, ACM TOPML)

SUPERVISORY AUTHORITY:

None

NATURE AND SCOPE:

The Research Scientist (Postdoc) at Howard University will assist with the execution of the project and will commit full time (40 hours) per week to the project and publish in high impact conferences such as NeurIPS, ICML, ICLR, AAAI, USENIX Security, IEEE S&P, NDSS, etc. and journals such as IEEE TAI, ACM TOPML, etc.

PRINCIPAL ACCOUNTABILITIES:

The Research Scientist (Postdoc) at Howard University will assist with the execution of the project and will commit full time (40 hours) per week to the project and publish in high impact conferences such as NeurIPS, ICML, ICLR, AAAI, USENIX Security, IEEE S&P, NDSS, etc. and journals such as IEEE TAI, ACM TOPML, etc.

. The tasks of the Research Scientist (Postdoc) include the following: 

• Develop, design, and evaluate  integration  of  robust  artificial  intelligence/machine  learning  and game theory for cybersecurity and resiliency in emerging networked systems such as cyber physical systems,  internet  of  things  and  other  connected  civilian  and  military  applications  by  working independently as well as in a group setting. 
• Conduct fundamental research as well as experimental research, data collection, statistical analysis, and data interpretation.
• Develop high impact research articles/manuscripts to be published in highly selected journals and conferences. 
• Perform other  related duties  and  responsibilities  as  may  be  assigned  from  time  to  time  by  the Principal Investigator, especially those related to research training and mentoring.
• Coordinate and ensure development of pertinent reports and their timely delivery.
• Perform other related duties as assigned by the supervisor/PI Dr. Danda B Rawat.

CORE COMPETENCIES:   

The candidate must have his/her Ph.D. degree before joining Howard University and should have adequate research experience demonstrated through publications in top-tier international conferences or journals, or patents in the areas of cybersecurity, AI and machine learning for autonomous systems.

• Demonstrated analytical and problem-solving skills. 
• Demonstrated ability to conduct fundamental research and demonstrated publication record.
• Related work experience or willingness to learn and work on one or more of the following areas:
  cybersecurity as well as secure, trustworthy, robust, fair, explainable AI system and ML algorithms for emerging networked systems such as cyber physical systems, internet of things and connected mission critical applications. 
• Demonstrated programming experience and fluency in one or more programming languages/ML
  Tools such as Python, TensorFlow, PyTorch, MATLAB, etc.
• Demonstrated computing experience and knowledge, including software packages such as LaTeX, word processing, database applications, and spreadsheet.
• Competence in both oral and written English and ability to articulate concisely and in a professional manner.
• Ability to maintain confidentiality of information.
• Ability to work effectively in a team-oriented interdisciplinary environment.
   

MINIMUM REQUIREMENTS:

Applicants should have received a Ph.D. (or similar doctoral degree) in one of the following disciplines:
Computer Science, Computer Engineering, Electrical Engineering, mathematics, or a similar area.

Compliance Salary Range Disclosure