LEO Lecturer I - College of Innovation & Technology - Computing Division (multiple courses in ARI/CIS/CSC/CYB/DSC)

Description

Minimum salary for this position is $8500 per 4-credit course.  The College of Innovation & Technology at the University of Michigan-Flint invites applications for a part-time and full time faculty positions at the Lecturer I level for the Winter 2025 semester. Descriptions of the courses to be taught are found below. We are looking for creative, collaborative, and energetic faculty members with a specialization in Computer Science to join our team. Responsibilities will include teaching,  interdiscipline collaboration, supervising students. 

This postings is for multiple courses which may have a work modality of Onsite or Remote

The budget for each of these positions is for the Winter 25 term only.

Artificial Intelligence:

ARI 515

Meeting Times: The course will run at 2:30pm-4:10pm Tuesday and Thursday. The budget for this position is for the Winter 25 term only.

Course Description: Graduate Standing. Investigation of strategies to foster fair and equitable AI systems, approaches to minimize biases, and methods to address key issues to establish user trust. Through practical case studies, students learn methods to identify issues of fairness, justice and truth in AI applications, along with recent techniques to detect and mitigate algorithmic biases to state-of-the-art machine learning models.

Computer Information Systems:

CIS 588

Meeting Times: The course will run at 10:30am-12:10pm Tuesday and Thursday. The budget for this position is for the Winter 25 term only.

Course Description: Graduate standing. Examination of testing and modification of software in evolving environments. Introduction to tools and techniques used to validate artifacts developed during the software development process. Topics include: model validation, maintenance categories, implementation, and specification-based testing.

Computer Science:

CSC 279

Meeting Times: The course will run at 10:30pm-12:10pm Tuesday and Thursday. The budget for this position is for the Winter 25 term only.  

Course Description: Intermediate problem-solving and programming principles for scientific and technical applications. Emphasis on data abstraction and object-oriented program design, including design and implementation of classes, inheritance, polymorphism, and inter-object communication. Use of templates and operator overloading; use of data structures such as stacks, queues and pointers in the implementation of algorithmic techniques including recursion, divide and conquer, and dynamic storage management. Taught using the Python programming language.

Cybersecurity:

CYB 301

Meeting Times:  The course will run online asynchronously. The budget for this position is for the Winter 25 term only.

Course Description:  Topics for the defense of enterprise network architecture and securing cloud computing technologies. Theory and steps for setting up the security, networking, threat prevention, logging, reporting and traffic handling features of Next-Generation Firewalls (NGFs), with additional emphasis on cloud container configurations for managing risks of cloud and data center deployment, management of the Cloud Secure Development Life Cycle (CSDLC), and other Cloud Security Operations (CloudSecOps).

CYB 330

Meeting Times:  The course will run online asynchronously. The budget for this position is for the Winter 25 term only.

Course Description:  Exploration of threats to mobile devices, wireless networks, and services delivered over a mobile infrastructure. Topics include but are not limited to: telecom vulnerabilities, WiFi and Bluetooth security, mobile malware and app security, and mobile geolocation and Internet privacy.

CYB 378

Meeting Times: The course will run at 12:30pm-2:10pm Monday and Wednesday. The budget for this position is for the Winter 25 term only.

Course Description:   In-depth study of network security applications and standards. Algorithms of symmetric and public key cryptography, key distribution and authentication, wireless network security, email security using protocols like PGP, S/MIME, intrusion detection approaches, IP security, firewall and web security. Various industry standard tools used related to intrusion detection systems (IDS) and vulnerability analysis.

CYB 501

Meeting Times: The course will run at 2:30pm-4:10pm Monday and Wednesday. The budget for this position is for the Winter 25 term only.

Course Description:   Fundamentals of cybersecurity, including threats, vulnerabilities, attacks, attackers, identity and access management, risk management, mobile device security, secure application development and deployment, symmetric and asymmetric cryptographic primitives.

Data Science:

DSC 502

Meeting Times: The course will run at 4:30pm-6:10pm Monday and Wednesday. The budget for this position is for the Winter 25 term only.

Course Description:   Study of visualization methods using a wide range of tools, from scripting languages to off-the- shelf software packages, and select topics in data science and machine learning. Overview of design and information literacy; ethical aspects of visualization; fundamental data manipulation techniques such as data preprocessing and dimension reduction; challenges in temporal, geo-spatial and network data visualization using appropriate tools.

Qualifications

Required Qualifications

• Graduate degree in Computer Science or other closely related field
• Excellent teaching/communication skills

Application Instructions

How to Apply

Please send a cover letter, your curriculum vitae, evidence of teaching experience/interest, and contact information for three references. Materials are only being accepted via Interfolio.  

Additional Information Contact

For inquiries regarding this post, please contact Heather LeSage.

Why Work for UM-Flint

In addition to a career filled with purpose and opportunity, The University of Michigan offers a comprehensive benefits package to help you stay well, protect yourself and your family, and plan for a secure future.

 

Benefits include:

• Generous time off
• A retirement plan that provides two-for-one matching contributions after 12 months of eligible service, with immediate vesting.
• Many choices for comprehensive health insurance.
• Life insurance
• Long-term disability coverage
• Flexible spending accounts for healthcare and dependent care expenses

Eligibility for benefits is based on your job group, your appointment percentage and the length of your appointment. Learn more about employee benefits and eligibility and download the Comprehensive Benefits for Faculty and Staff flier.

 

UM-Flint offers dependent tuition support (DTS) for qualified dependents of faculty and staff from all UM campuses.  Information can be found at: https://www.umflint.edu/hr/benefits/tuition-support-for-dependents/ 

 

Information about our vision, mission and values can be found at: https://www.umflint.edu/chancellor/leadership-mission-vision/

 

University of Michigan-Flint - Plan for Diversity, Equity and Inclusion

 

The University of Michigan-Flint’s DEI plan can be found at: https://www.umflint.edu/dei/

 

The University of Michigan-Flint exhibits its commitment to diversity, equity, and inclusion through enacting fair practices, policies, and procedures particularly in support of the equitable participation of the historically underserved. UM-Flint recognizes the value of diversity in our efforts to provide equitable access and opportunities to all regardless of individual identities in support of a climate where everyone feels a sense of belonging, community, and agency.

 

Diversity is a core value at University of Michigan-Flint. We are passionate about building and sustaining an inclusive and equitable working and learning environment for all students, staff, and faculty. The University of Michigan-Flint seeks to recruit and retain a diverse workforce as a reflection of our commitment to serve the diverse people of Michigan, to maintain the excellence of the University, and to offer our students richly varied disciplines, perspectives, and ways of knowing and learning for the purpose of becoming global citizens in a connected world.

 

Modes of Work

This postings is for multiple courses which may have a work modality of Onsite or Remote:

Onsite
The work requires, or the supervisor approves a fully onsite presence.  Onsite is defined as a designated U-M owned or leased work location within or outside of the State of Michigan.

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department.  Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes here.

Mobile/Remote
The work requirements allow for the majority or all of the work to be completed offsite.  On occasion, the employee may be required and must be available to work onsite if necessitated by unit leadership or their designee and/or the job requirements, but is not generally scheduled on a recurring basis.

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department.  Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes here.

Union Affiliation

This position is subject to terms and conditions of a collective bargaining agreement between the University of Michigan and the Lecturers Employee Organization, AFL-CIO, which contains and settles all matters with respect to wages, benefits, hours and other terms and conditions of employment.

Background Screening

The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks.  Background checks will be performed in compliance with the Fair Credit Reporting Act.

Application Deadline

Job openings are posted for a minimum of ten calendar days.  This job may be removed from posting boards and filled any time after the minimum posting period has ended.

Equal Employment Opportunity Statement

The University of Michigan is an equal opportunity/affirmative action employer.