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The Computer Science Electrical Engineering department* within the School of Science and Engineering.
* Effective July 1, 2022, the department of Computer Science Electrical Engineering will transition to the new Division of Computing, Analytics and Mathematics
Job Description
This unranked non-tenure track faculty will teach four (4) course sections per semester with an enrollment projection of 60 students per section.
The ideal candidates should have expertise in teaching several topics at the undergraduate and/or graduate levels, including but not limited to: Algorithms, Applied Probability, Artificial Intelligence, Computer Architecture, Cybersecurity, Data Science Principles, Data Structures, Discrete Structures, Human-Computer Interaction, Machine Learning, Networking, Object-Oriented Programming, Operating Systems, Programming Language Paradigms, Software Engineering.
The successful candidate will be expected to:
1) have a strong commitment to quality undergraduate / graduate engineering education;
2) teach courses in the undergraduate / graduate programs;
3) maintain an outstanding record of education and professional leadership;
4) engage in department, school, and/or university service activities appropriate to the position;
5) advance the goals and strategic plan of SCE and UMKC.
The department offers BS degrees (ABET accredited), MS degrees and participates in UMKC's PhD programs. More information about SCE and the CSEE department can be found at https://sce.umkc.ed u. UMKC is located in the heart of Kansas City, a world-class engineering hub that is enriching educational partnerships for SCE students and faculty.
Minimum Qualifications
Preferred Qualifications
Preference will be given to candidates with a Teaching Certificate or prior teaching experience in Computer Science or related areas at any level in an accredited university in the USA or elsewhere.
Full Time/Part Time
Full time [100% FTE], benefit-eligible, 9-month unranked academic appointment.
Application Deadline
This position will remain open until filled.
Application Instructions
To be considered, you must complete the application which contains two (2) sections: 1. Name and Contact Information 2. Combine all application materials (a letter of interest, curriculum vitae, a list of at least five references) into one PDF or Microsoft Word document and upload as a resume attachment.
Limit document name to 50 characters. Maximum size limit is 11MB. Do not include special characters (e.g., /,&, %, etc.).
If you need technical assistance, please call (800) 488-5288.
Equal Employment Opportunity
Equal Opportunity is and shall be provided for all employees and applicants for employment on the basis of their demonstrated ability and competence without unlawful discrimination on the basis of their race, color, national origin, ancestry, religion, sex, pregnancy, sexual orientation, gender identity, gender expression, age, disability, protected veteran status, or any other status protected by applicable state or federal law. This policy shall not be interpreted in such a manner as to violate the legal rights of religious organizations or the recruiting rights of military organizations associated with the Armed Forces or the Department of Homeland Security of the United States of America. For more information, call the Vice Chancellor - Human Resources at 816-235-1621.
Reasonable accommodations may be made to enable individuals with disabilities to perform the duties and functions of this job. If you believe you may have difficulty performing any of the duties or functions of this job, please contact the Office of Affirmative Action at (816) 235-1323.
EEO IS THE LAW
To read more about Equal Employment Opportunity (EEO) please use the following links:
UMKC Statement on Diversity
University of Missouri System Values Commitment
We value the uniqueness of every individual and strive to ensure each person's success. Contributions from individuals with diverse backgrounds, experiences and perspectives promote intellectual pluralism and enable us to achieve the excellence that we seek in learning, research and engagement. This commitment makes our university a better place to work, learn and innovate.
In your application materials, please discuss your experiences and expertise that support these values and enrich our missions of teaching, research and engagement.
The Computer Science Electrical Engineering department* within the School of Science and Engineering.
* Effective July 1, 2022, the department of Computer Science Electrical Engineering will transition to the new Division of Computing, Analytics and Mathematics
Job Description
This unranked non-tenure track faculty will teach four (4) course sections per semester with an enrollment projection of 60 students per section.
The ideal candidates should have expertise in teaching several topics at the undergraduate and/or graduate levels, including but not limited to: Algorithms, Applied Probability, Artificial Intelligence, Computer Architecture, Cybersecurity, Data Science Principles, Data Structures, Discrete Structures, Human-Computer Interaction, Machine Learning, Networking, Object-Oriented Programming, Operating Systems, Programming Language Paradigms, Software Engineering.
The successful candidate will be expected to:
1) have a strong commitment to quality undergraduate / graduate engineering education;
2) teach courses in the undergraduate / graduate programs;
3) maintain an outstanding record of education and professional leadership;
4) engage in department, school, and/or university service activities appropriate to the position;
5) advance the goals and strategic plan of SCE and UMKC.
The department offers BS degrees (ABET accredited), MS degrees and participates in UMKC's PhD programs. More information about SCE and the CSEE department can be found at https://sce.umkc.ed u. UMKC is located in the heart of Kansas City, a world-class engineering hub that is enriching educational partnerships for SCE students and faculty.
Minimum Qualifications
- To be considered as an Instructor for teaching Graduate courses: applicant must have a PHD or equivalent degree
- To be considered as an Instructor for teaching Undergraduate courses: applicant must hold a Master's Degree in Computer Science, Cybersecurity, Data Science, Electrical Engineering, or Computer Engineering
Preferred Qualifications
Preference will be given to candidates with a Teaching Certificate or prior teaching experience in Computer Science or related areas at any level in an accredited university in the USA or elsewhere.
Full Time/Part Time
Full time [100% FTE], benefit-eligible, 9-month unranked academic appointment.
Application Deadline
This position will remain open until filled.
Application Instructions
To be considered, you must complete the application which contains two (2) sections: 1. Name and Contact Information 2. Combine all application materials (a letter of interest, curriculum vitae, a list of at least five references) into one PDF or Microsoft Word document and upload as a resume attachment.
Limit document name to 50 characters. Maximum size limit is 11MB. Do not include special characters (e.g., /,&, %, etc.).
If you need technical assistance, please call (800) 488-5288.
Equal Employment Opportunity
Equal Opportunity is and shall be provided for all employees and applicants for employment on the basis of their demonstrated ability and competence without unlawful discrimination on the basis of their race, color, national origin, ancestry, religion, sex, pregnancy, sexual orientation, gender identity, gender expression, age, disability, protected veteran status, or any other status protected by applicable state or federal law. This policy shall not be interpreted in such a manner as to violate the legal rights of religious organizations or the recruiting rights of military organizations associated with the Armed Forces or the Department of Homeland Security of the United States of America. For more information, call the Vice Chancellor - Human Resources at 816-235-1621.
Reasonable accommodations may be made to enable individuals with disabilities to perform the duties and functions of this job. If you believe you may have difficulty performing any of the duties or functions of this job, please contact the Office of Affirmative Action at (816) 235-1323.
EEO IS THE LAW
To read more about Equal Employment Opportunity (EEO) please use the following links:
- EEO is the Law English Version
- EEO is the Law Spanish Version
- EEO is the Law Chinese Version
UMKC Statement on Diversity
University of Missouri System Values Commitment
We value the uniqueness of every individual and strive to ensure each person's success. Contributions from individuals with diverse backgrounds, experiences and perspectives promote intellectual pluralism and enable us to achieve the excellence that we seek in learning, research and engagement. This commitment makes our university a better place to work, learn and innovate.
In your application materials, please discuss your experiences and expertise that support these values and enrich our missions of teaching, research and engagement.
