Assistant Professor - Computer Science
- Employer
- University of Kansas
- Location
- Kansas, United States
- Salary
- Salary Not Specified
- Date posted
- Dec 1, 2020
View more
- Position Type
- Faculty Positions, Science, Technology & Mathematics, Computer Sciences & Technology, Engineering
- Employment Type
- Full Time
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Job Title
Assistant Professor - Computer Science
Department
Electrical Engr & Comp Science
Primary Campus
University of Kansas - Lawrence
Job Description
40% - Teach undergraduate and graduate courses in the Electrical Engineering and Computer Science department. Participate in undergraduate and graduate student academic advising. Mentor graduate students in research and serve as the major advisor and chair of Master’s and Doctoral level thesis committees.
40% - Perform and conduct research in the research centers/laboratories associated with the department. Establish a strong research agenda in areas of expertise that overlaps, supports, or expands the current research in the department, leading to external grant support and publication in recognized refereed journals and conference proceedings. Collaborate with faculty and professional staff on KU campuses.
20% - Perform Department, School, University and professional service activities normally expected of university faculty commensurate with rank. Participating in local, national and international professional conferences and other activities appropriate to the discipline. Perform other duties as assigned by the Department Chair.
Req ID(Ex: 10567BR)
18207BR
Disclaimer
The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Executive Director of the Office of Institutional Opportunity & Access, IOA@ku.edu, 1246 West Campus Road, Room 153A, Lawrence, KS 66045, 785-864-6414, 711 TTY 9for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses).
Contact Information to Applicants
Dr. Erik Perrins
eecs_search@ku.edu
Position Number
00004061 & 01199331
Required Qualifications
1. Earned doctorate, or equivalent in computer science, computer engineering, electrical engineering, or a closely related scientific or engineering discipline by the time of appointment.
2. Expertise in transforming of data into knowledge via machine learning. Expertise in areas ranging from classification to deep learning and neural networks, software/hardware implementation of machine learning algorithms, optimization and artificial intelligence, and data mining. Expertise as demonstrated by scholarly work, publications, teaching and/or service.
Employee Class
F-Faculty
Advertised Salary Range
commensurate with experience and rank
FTE
1.0
Preferred Qualifications
Applicants pursuing research in areas that are synergistic with departmental strengths of security and assurance, imaging, scientific/parallel computing, communication systems and networking, radar and remote sensing, embedded systems, and signal processing are preferred.
Position Overview
The University of Kansas (KU) Department of Electrical Engineering and Computer Science (EECS) seeks outstanding individuals for two tenure track positions in Computer Science. Successful candidates are expected to contribute to the development of academic programs and contribute to the research community. Applicants are expected to have an earned doctorate, or equivalent in Computer Science, Computer Engineering, Electrical Engineering, or closely related fields at the time of appointment. Two positions are open at the assistant professor (tenure-track) level, with experience in the following:
Computer Science: Applicants focusing in the following areas are encouraged to apply: (i) machine learning; (ii) distributed and parallel computing; (iii) high-performance computing; and (iv) software engineering. Exceptional applicants in other areas may be considered. Applicants pursuing research in areas that are synergistic with one or more existing departmental strengths in security and assurance, communication systems and networking, radar and remote sensing, embedded systems, scientific/parallel computing, and signal processing are preferred.
The University of Kansas School of Engineering (SoE) and the EECS Department strongly value diversity, equity, and inclusion. We seek candidates who can contribute to fostering an inclusive culture. In Spring 2019, KU SoE was one of only 29 universities to achieve the exemplar, inaugural ASEE Diversity Recognition Bronze Award https://diversityrecognition.asee.org/award-recipients/ . In a continuing effort to enrich its academic environment and provide equal educational and employment opportunities, the university actively encourages applications from members of underrepresented groups in higher education. The successful candidate must be eligible to work in the U.S. by the effective date of the appointment.
EECS is the largest department in the KU School of Engineering with 31 faculty members and a research volume of about $6 million per year. Faculty engage in research projects across multiple areas of interest through the department, the Information and Telecommunication Technology Center (ITTC), the Center for Remote Sensing of Ice Sheets (CReSIS), and the KU Medical Center. The EECS department offers undergraduate and graduate degrees in electrical engineering, computer engineering, computer science, and interdisciplinary computing. The department has approximately 750 undergraduate and 150 graduate students. The KU School of Engineering has added new faculty lines over a five-year period and has expanded research and teaching facilities.
Reg/Temp
Regular
Application Review Begins
10-Jan-2021
Anticipated Start Date
18-Aug-2021
Additional Candidate Instruction
A complete online application will include the following files: 1) letter of application, 2) curriculum vitae, 3) a statement of research interests and plans, 4) a statement of teaching interests including plans for broadening participation in computing, 5) a diversity statement, typically on the order of two pages, outlining contributions and/or plans to contribute to diversity, inclusion, and equity, and 6) contact information (including email addresses) for three individuals who can provide letters of recommendation. Candidates should address, in their application letter, how they plan to promote the values of diversity, equity, and inclusion.
In addition to the materials above, learning about each applicant's contribution and engagement in areas of diversity is an important part of KU's mission. As a result, applicants will be presented the following question at the time of application. The response must be within 4,000 characters or less.
Assistant Professor - Computer Science
Department
Electrical Engr & Comp Science
Primary Campus
University of Kansas - Lawrence
Job Description
40% - Teach undergraduate and graduate courses in the Electrical Engineering and Computer Science department. Participate in undergraduate and graduate student academic advising. Mentor graduate students in research and serve as the major advisor and chair of Master’s and Doctoral level thesis committees.
40% - Perform and conduct research in the research centers/laboratories associated with the department. Establish a strong research agenda in areas of expertise that overlaps, supports, or expands the current research in the department, leading to external grant support and publication in recognized refereed journals and conference proceedings. Collaborate with faculty and professional staff on KU campuses.
20% - Perform Department, School, University and professional service activities normally expected of university faculty commensurate with rank. Participating in local, national and international professional conferences and other activities appropriate to the discipline. Perform other duties as assigned by the Department Chair.
Req ID(Ex: 10567BR)
18207BR
Disclaimer
The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Executive Director of the Office of Institutional Opportunity & Access, IOA@ku.edu, 1246 West Campus Road, Room 153A, Lawrence, KS 66045, 785-864-6414, 711 TTY 9for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses).
Contact Information to Applicants
Dr. Erik Perrins
eecs_search@ku.edu
Position Number
00004061 & 01199331
Required Qualifications
1. Earned doctorate, or equivalent in computer science, computer engineering, electrical engineering, or a closely related scientific or engineering discipline by the time of appointment.
2. Expertise in transforming of data into knowledge via machine learning. Expertise in areas ranging from classification to deep learning and neural networks, software/hardware implementation of machine learning algorithms, optimization and artificial intelligence, and data mining. Expertise as demonstrated by scholarly work, publications, teaching and/or service.
Employee Class
F-Faculty
Advertised Salary Range
commensurate with experience and rank
FTE
1.0
Preferred Qualifications
Applicants pursuing research in areas that are synergistic with departmental strengths of security and assurance, imaging, scientific/parallel computing, communication systems and networking, radar and remote sensing, embedded systems, and signal processing are preferred.
Position Overview
The University of Kansas (KU) Department of Electrical Engineering and Computer Science (EECS) seeks outstanding individuals for two tenure track positions in Computer Science. Successful candidates are expected to contribute to the development of academic programs and contribute to the research community. Applicants are expected to have an earned doctorate, or equivalent in Computer Science, Computer Engineering, Electrical Engineering, or closely related fields at the time of appointment. Two positions are open at the assistant professor (tenure-track) level, with experience in the following:
Computer Science: Applicants focusing in the following areas are encouraged to apply: (i) machine learning; (ii) distributed and parallel computing; (iii) high-performance computing; and (iv) software engineering. Exceptional applicants in other areas may be considered. Applicants pursuing research in areas that are synergistic with one or more existing departmental strengths in security and assurance, communication systems and networking, radar and remote sensing, embedded systems, scientific/parallel computing, and signal processing are preferred.
The University of Kansas School of Engineering (SoE) and the EECS Department strongly value diversity, equity, and inclusion. We seek candidates who can contribute to fostering an inclusive culture. In Spring 2019, KU SoE was one of only 29 universities to achieve the exemplar, inaugural ASEE Diversity Recognition Bronze Award https://diversityrecognition.asee.org/award-recipients/ . In a continuing effort to enrich its academic environment and provide equal educational and employment opportunities, the university actively encourages applications from members of underrepresented groups in higher education. The successful candidate must be eligible to work in the U.S. by the effective date of the appointment.
EECS is the largest department in the KU School of Engineering with 31 faculty members and a research volume of about $6 million per year. Faculty engage in research projects across multiple areas of interest through the department, the Information and Telecommunication Technology Center (ITTC), the Center for Remote Sensing of Ice Sheets (CReSIS), and the KU Medical Center. The EECS department offers undergraduate and graduate degrees in electrical engineering, computer engineering, computer science, and interdisciplinary computing. The department has approximately 750 undergraduate and 150 graduate students. The KU School of Engineering has added new faculty lines over a five-year period and has expanded research and teaching facilities.
Reg/Temp
Regular
Application Review Begins
10-Jan-2021
Anticipated Start Date
18-Aug-2021
Additional Candidate Instruction
A complete online application will include the following files: 1) letter of application, 2) curriculum vitae, 3) a statement of research interests and plans, 4) a statement of teaching interests including plans for broadening participation in computing, 5) a diversity statement, typically on the order of two pages, outlining contributions and/or plans to contribute to diversity, inclusion, and equity, and 6) contact information (including email addresses) for three individuals who can provide letters of recommendation. Candidates should address, in their application letter, how they plan to promote the values of diversity, equity, and inclusion.
In addition to the materials above, learning about each applicant's contribution and engagement in areas of diversity is an important part of KU's mission. As a result, applicants will be presented the following question at the time of application. The response must be within 4,000 characters or less.
- Describe your experiences working with people from diverse backgrounds, and explain how those experiences reflect your commitments to diversity, equity, and inclusion.
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