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Instructional Faculty/Lecturer

Job Description

Position Number:

1P0000

Title:

Lecturer/Senior Lecturer/Principal Lecturer

Functional Title:

Instructional Faculty/Lecturer

Category Status:

15-Fac.Non-Tenured,Continuing Con

Applicant Search Category:

Faculty

University Authorized FTE:

1.0

Unit:

CMNS-Computer Science

Campus/College Information:

Founded in 1856, University of Maryland, College Park is the state’s flagship institution. Our 1,250-acre College Park campus is just minutes away from Washington, D.C., and the nexus of the nation’s legislative, executive, and judicial centers of power. This unique proximity to business and technology leaders, federal departments and agencies, and a myriad of research entities, embassies, think tanks, cultural centers, and non-profit organizations is simply unparalleled. Synergistic opportunities for our faculty and students abound and are virtually limitless in the nation’s capital and surrounding areas. The University is committed to attracting and retaining outstanding and diverse faculty and staff that will enhance our stature of preeminence in our three missions of teaching, scholarship, and full engagement in our community, the state of Maryland, and in the world.

Background Checks

Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify you from employment.

Vaccine Protocol

The University of Maryland has made the safety of our students, faculty and staff, and our surrounding communities a top priority. As part of that commitment, the University requires that students, faculty, and staff on the UMD campus be vaccinated against COVID-19. As a prospective and/or a new employee at UMD, you will be required to comply with the University’s vaccination protocol. Proof of full vaccination will be required before the start of employment in order to work at any University of Maryland location. Prospective or new employees may seek a medical or religious exemption to the vaccination requirement at return.umd.edu and must have an approved exemption prior to the start of their employment. Failure to provide proof of vaccination or to obtain approval for a medical or religious exemption will result in the offer of employment being rescinded.

Position Summary/Purpose of Position:

The Department of Computer Science is looking to hire an instructional faculty member who will work with our bright and amazing students and play a key role in implementing a new Data Science program. We seek candidates at all experience levels to join our vibrant department.

The Department of Computer Science is committed to building a diverse faculty pre-eminent in its missions of research, teaching, and service to the community, and it especially encourages applications from women and other underrepresented groups in computing. In addition, candidates who have experience engaging with a diverse range of faculty, staff, and students and contributing to a climate of inclusivity are encouraged to discuss their perspectives on these subjects in their application materials.

Responsibilities: During each fall and spring semester, the lecturer will teach at most three sections on topics relating to data science, introductory and advanced programming, computer systems, computer algorithms, and other topics which intersect with UMD’s Computer Science curriculum. The lecturer will also participate in non-teaching activities, such as the development/enhancement of curriculum, research, advising, and mentoring. Opportunities for summer and winter teaching for additional pay will also be available.

Minimum Qualifications:


Education and Skills
  • An M.S. degree is required, and either the B.S. or M.S. degree must be in Computer Science or a related field such as Information Science or Data Science.
  • In-depth knowledge of and proficiency teaching Python, Java, and Linux/Unix is a must.

Preferences:


Preferred Experience and Skills
  • Prior experience in Data Science or Machine Learning, especially in an industrial setting, and knowledge of other languages such as Ruby, functional languages such as Haskell or OCaml, and Web programming languages such as Javascript, is a plus.
  • A solid basis in theoretical computer science as well as probability and statistics is preferred.
  • Those candidates with a PhD, and a willingness to teach advanced upper-level courses in the candidate’s area of specialization, will be strongly favored.

Additional Information:

Interested candidates should apply on-line at https://ejobs.umd.edu in order to receive consideration. Applicants are strongly encouraged to have complete versions of their materials – including a CV, a statement of teaching philosophy, a list of references, a listing of recently taught courses and evidence of teaching effectiveness (e.g., teaching evaluations, teaching awards) uploaded as Supplemental Document 1, and a cover letter highlighting the specific strengths of the candidate with respect to this position – uploaded by November 30th, 2022. For any information or questions please email instructor-search@cs.umd.edu.

Posting Date:

10/21/2022

Open Until Filled

Yes

Best Consideration Date

11/30/2022

Diversity Statement:

The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.

Women, minorities, LGBTQ+, veterans, and people with disabilities are encouraged to apply.

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