Job Information
Pennsylvania State University College of IST - Part-time Adjunct Lecturer (Residential) in University Park, Pennsylvania
APPLICATION INSTRUCTIONS:
CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process (https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/EfiwgKReZ4VAjprFZPKWUm0Bq_sU3KzTmERfpryq0esPKQ) . Please do not apply here, apply internally through Workday.
CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. (https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/Eeys15Xva4hFokHVtbP1eGIB5i1WFLc-J3k9KHgrFYZ7mg) Please do not apply here, apply internally through Workday.
If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants (https://hr.psu.edu/sites/hr/files/Application_Process_for_External_Applications_Non-Penn_State_Employees_.pdf) .
JOB DESCRIPTION AND POSITION REQUIREMENTS:
The College of Information Sciences and Technology (IST) at The Pennsylvania State University invites applications for part-time academic lecturer positions for the 2022-23 academic year (Summer 2022, Fall 2022, and Spring 2023). These positions will be part-time, non-tenured track appointments without benefits or guarantee of renewal. The college is currently in a growth period with record-high enrollments in both residential and online undergraduate and graduate programs. Successful candidates should be prepared to teach relevant introductory and advanced courses in one or more of the following areas:
Cybersecurity Analytics and Operations:
Information security
Applied cryptography
Systems security, software security, cloud security, network security to include firewalls, intrusion detection, and cryptographic network protocols
Malware analytics and software reverse engineering
Penetration testing
Network traffic analysis
Cyber Forensics including network, mobile device, memory, desktop, etc. forensics
Cybercrime and Cyber law
Security management
Data Sciences
Introduction to Data Sciences
Data Management for Data Sciences
Privacy and Security
Data Integration
Data Visualization
Programming Models for Big Data
Applied Data Sciences
Data Sciences Capstone
Enterprise Technology Integration:
Development for enterprise web technologies
Organizational and project management
Database management and administration
Systems and enterprise integration
Advanced database design and management
Cloud-based technology solutions and integration
Discipline-specific application and integration in the use of technology (e.g. healthcare, finance, business, agriculture, etc.)
Human-Centered Design & Development:
Introductory, intermediate, and advanced programming in Java
Programming for the web
Programming for mobile applications
Software design and development
Interaction design and development
High and low fidelity prototyping, and user interface development tools
Studying users, interface design, and interaction
Security Risk Analysis:
Introduction to Security and Risk Analysis
Threat of Terrorism & Crime
Overview of Information Security
Decision Theory and Analytic
Visual Analytics
Risk Analysis in a Security Context
Statistics for Security and Risk Analysis
The Intelligence Environment
Deception and Counter-Deception
Security Risk Analysis Capstone
Foundational first- and second-year courses addressing:
Introduction to Information, People, and Technology
Introduction to Application Development
Organization of Data
Networking and Telecommunications
Language, Logic, and Discrete Mathematics
Applicants should possess a master's degree or equivalent experience and education and be committed to teaching learners at all levels and from all backgrounds; preference given for prior teaching experience and professional experience in a relevant area. Additional information about residential and online instructional modes and resources to enhance teaching preparation at: https://keepteaching.psu.edu/ .
The College of Information Sciences and Technology is strongly committed to a diverse community and to providing a welcoming and inclusive environment for faculty, staff and students of all races, genders, and backgrounds. The college is committed to making good faith efforts to recruit, hire, retain, and promote qualified individuals from underrepresented minority groups including women, persons of color, diverse gender identities, individuals with disabilities, and veterans .
Apply by completing an online application and submitting a cover letter which details your area of teaching interest, and current resume or Curriculum Vita (CV). Applications will be received and reviewed on an ongoing basis and positions filled as needed.
NOTICE TO APPLICANTS: You are applying to a job pool that may not be reflective of current openings. If there is an opening throughout the 2022 - 2023 year, and you are selected for an interview, the college will contact you.
Penn State is committed to and accountable for advancing diversity, equity, and inclusion in all of its forms. We embrace individual uniqueness, foster a culture of inclusion that supports both broad and specific diversity initiatives, leverage the educational and institutional benefits of diversity, and engage all individuals to help them thrive. We value inclusion as a core strength and an essential element of our public service mission.
CAMPUS SECURITY CRIME STATISTICS:
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here (https://police.psu.edu/annual-security-reports) .
Employment with the University will require successful completion of background check(s) in accordance with University policies.
EEO IS THE LAW
Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Federal Contractors Labor Law Poster (https://affirmativeaction.psu.edu/files/2022/01/Federal-Contractors-Labor-Law-Poster.pdf)
PA State Labor Law Poster
Affirmative Action (https://policy.psu.edu/policies/hr11)
Penn State Policies
Copyright Information (https://www.psu.edu/copyright-information)
Hotlines
University Park, PA