Post Doctoral Fellow
Company | Howard University |
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Location | Washington, DC, USA |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | PhD |
Experience Level | Senior |
Requirements
- Ph.D. degree before joining Howard University or ABD (all but dissertation) who can finish PhD within 3 months of joining this position at Howard University
- Adequate research experience demonstrated through publications in top-tier international conferences in the areas of cybersecurity, AI and machine learning
- Demonstrated analytical and problem-solving skills
- Demonstrated programming experience and fluency in one or more programming languages such as Python, TensorFlow, 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
Responsibilities
- Assist with the execution of the project and commit 40 hours per week to the project
- Develop, design, and evaluate integration of cybersecurity and artificial intelligence/machine learning for emerging cyber physical systems, internet of things and other connected military and civilian applications
- Develop high impact research papers to be published in journals and conferences
- Coordinates and assure development of pertinent reports and their timely delivery
- Conducts data collection, statistical analysis, and data interpretation
- Participates in development of manuscripts and reports and conduct of primary and secondary data analyses
- Performs other related duties and responsibilities as may be assigned from time to time by the Principal Investigator especially those related to research training, mentoring, and interdisciplinary projects
- Performs other related duties as assigned by the supervisor/PI
Preferred Qualifications
-
No preferred qualifications provided.