Post-doctoral Researcher

Chicago State University

$55,000 - $65,000 Annual

life insurance

United States, Illinois, Chicago

9501 South King Drive (Show on map)

Mar 06, 2025

Posting Details

Position Information

Posting Number	S25181P
Posting Date	11/22/2024
Closing Date	03/31/2025
Title	Post-doctoral Researcher
Working Title	Post-doctoral Researcher
Salary Range	$55,000 - $65,000 Annual
Employee Class	Administrator
Department	Math. & Computer Science
Full-time/ Part-time	Full-time
Specialization
Hours Per Week	40
Standard Work Week	Monday - Friday
Benefits	This position is eligible for health, dental, life insurance and other benefits through Chicago State University. Click here for a complete list of benefits: https://csu.edu/humanresources/benefits.htm
Job Summary	Chicago State University ( CSU), is the oldest public university in the Chicago metropolitan area. Chicago State University is Illinois' only four-year U.S. Department of Education-designated Predominantly Black Institution ( PBI). CSU serves over 1,500 undergraduate students and nearly 900 graduate students. The university is a nationally accredited university with five colleges in Arts and Sciences, Business, Education, Health Sciences and Pharmacy and proudly supports a diverse and non-traditional student population that hails from 28 countries and 36 states. Discover the latest advancements and milestones achieved by CSU in our Annual Report: https://www.csu.edu/president/annual_report.htm. This post-doctoral (post-doc) position is funded by theCenter for Assured and Resilient Navigation in Advanced Transportation Systems ( CARNATIONS) project (Funding Source: US Department of Transportation). The post-doc researcher will work on devising new solutions to improving the resilience of Global Navigation Satellite Systems ( GNSS), especially in challenging environments where global positioning systems ( GPS) signals can be weak or disrupted. This is a highly competitive position that offers the opportunity to work on cutting-edge research with a talented team of researchers and industry partners.
Job Description	Key Responsibilities: Research and Development: Conduct in-depth research on emerging cybersecurity threats and vulnerabilities in smart transportation systems, including connected vehicles, intelligent traffic systems, and public transportation systems. Develop advanced cybersecurity techniques, such as intrusion detection, anomaly detection, and secure communication protocols, to mitigate these threats. Design and implement robust cybersecurity frameworks and architectures to enhance the security posture of smart transportation systems. Experimentation and Validation: Design and execute experiments to evaluate the effectiveness of proposed cybersecurity solutions in simulated and real-world environments. Analyze and interpret experimental results to identify areas for improvement and optimization. Collaborate with industry partners to validate and refine cybersecurity solutions in practical settings. Publication and Dissemination: Author high-quality research papers and technical reports to disseminate findings at top-tier conferences and journals. Present research results at academic conferences and industry forums. Contribute to the development of intellectual property, such as patents and copyrights. Collaboration and Mentoring: Work closely with a team of researchers, engineers, and industry experts to foster a collaborative research environment. Mentor graduate students and postdoctoral researchers in the areas of cybersecurity and smart transportation systems.
Minimum Qualifications	Ph.D. in Electrical Engineering, Computer Science, or a related field. Track record of publishing in reputable journals and conferences. Strong background in cybersecurity, with a focus on network security, cryptography, or applied cryptography. Expertise in one or more of the following areas: Wireless communication protocols (e.g., IEEE 802.11, 5G) Embedded systems and IoT security Machine learning and artificial intelligence for cybersecurity
Preferred Qualifications	Good knowledge in: 1. Artificial Intelligence and Machine learning 2. Optimization theory 3. Network security 4. Global positioning systems 5. Edge Computing
Knowledge, Skills and Abilities	Proficiency in programming languages (e.g., Python, C++, MATLAB) and cybersecurity tools. Excellent problem-solving, analytical, and communication skills. A strong publication record in top-tier conferences and journals.
Additional Applicant Information
Physical Requirement/ Demands
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