University of Houston
Post Doctoral Fellow (Finance)
The Reasoning and Data Analytics for Cybersecurity (ReDAS) Laboratory is offering a one-year Research Fellow position -renewable for 1 additional year(s)- to design, develop and evaluate NLP and machine learning based techniques for deception detection.
Department: Department of Computer Science
Unit: ReDAS Laboratory - University of Houston (UH)
Scientific fields: Natural Language Processing, Deep Learning, Machine Learning, Fake News, Deceptive Attacks
Job Description:
Possesses, understands, and applies a comprehensive knowledge in area of Natural Language Processing, Deep Learning, Machine Learning, Fake News, and Deceptive Attacks. Develops understanding and skills to allow for completion of assignments that cross fields of specialization. Develops leadership and management skills.
EEO/AA
A background and track record of peer-reviewed conference/journal publications in natural language processing/machine learning is compulsory
(phishing, spearphishing, fake news, deep learning, etc.).
Experience with designing, managing, and executing experiments is a mandatory requirement. Relevant knowledge and at least 3 years of experience in developing visual solutions with Python are mandatory.