Job Description

Job Summary
Position Description

The Department of Computer Science in the Erik Jonsson School of Engineering and Computer Science at The University of Texas at Dallas (UT Dallas) invites applications for multiple tenure-system faculty positions. We expect to make up to seven appointments at the rank of Assistant Professor. Applicants from all areas of computer science are sought. Applicants from emerging and interdisciplinary computing areas, including but not limited to quantum computing, robotics, computational neuroscience, intelligent transportation, smart health, IoT, cyber physical systems, and computational chemistry are also encouraged to apply. Teaching responsibilities include undergraduate and graduate level courses in the core curriculum and in the candidate’s specialization area. In addition to teaching, the position requires an active agenda of research and publication as well as service in the UT Dallas and professional communities.

The appointment commences for the fall 2025 semester.

Qualifications

Minimum Education and Experience: A PhD in Computer Science, Software Engineering or a related discipline is required prior to employment; those with ABD status will be considered at the application/interviewing stage. Candidates are expected to demonstrate the ability to work effectively in a highly collaborative, engaging, and dynamic environment comprised of individuals with a range of backgrounds, skills, and perspectives. We are seeking candidates able to produce research and scholarly or creative achievements that enhance the program and the discipline, and able to deliver high quality teaching using evidence-based practices to effectively engage students from a range of backgrounds and experiences.

Preferred Education and Experience: a PhD in Computer Science, Software Engineering, or a closely related discipline.

The Department/School

The Department of Computer Science at UT Dallas is one of the largest in the country, with more than 5,000 students, and offers B.S., M.S., and Ph.D. degrees in both Computer Science and Software Engineering. It also offers joint degrees in Data Science, Computer Engineering, and Telecommunication Engineering. The department is home to 54 tenure-track faculty, including 18 NSF CAREER awardees. The department is primarily housed in a 150,000 square feet facility and has excellent computing equipment and support. It houses a few centers and institutes, particularly in the areas of cyber security, human language technology, net centric software, AI, and machine learning.

Application Instructions

Applicants should upload the following:

· Full curriculum vitae and cover letter summarizing their interests and qualifications for the position.
· Statement of teaching philosophy describing their conceptualizations of teaching and learning, and teaching and assessment methods, and how their teaching practices will engage students from a range of backgrounds and experiences.
· Research statement describing past, present, and future research, including how they mentor (or will mentor) student researchers and foster (or will foster) collaborative research environments.
· Full contact information for at least three academic or professional references.

Review of completed applications will start on 10/01/2024. Reviews will continue until the positions are filled or the search is closed on 05/01/2025.

The University and Community

UT Dallas is a top public research university located in one of the nation’s fastest-growing metropolitan regions. Our seven schools offer more than 140 undergraduate and graduate programs, plus professional certificates and fast-track programs. Our student body is 30,000 strong, reflecting students from over 100 countries and a multiplicity of identities and experiences. Over 65% of our undergraduate students receive some form of need- or merit-based financial aid; and 66% of graduating seniors have no student debt compared to 48% in Texas and 32% in the nation (2021 TICAS report).

UT Dallas is committed to graduating well-rounded members of the global community whose education has prepared them for rewarding lives and productive careers in a constantly changing world. A diversity of people, ideas, and perspectives is crucial to our vision and mission. UT Dallas is a place where members of the community from all backgrounds are welcomed, treated fairly, and encouraged in their pursuit of excellence.

The University has a variety of programs and initiatives to support engagement and success for all members of the campus community. Employee benefits include a range of physical and mental wellness resources. “LilyPad” lactation facilities are located throughout the campus. There are several Employee Resource Groups (ERGs) comprised of individuals who share common interests to help build community among UT Dallas faculty and staff (e.g., Universal Access ERG, Military and Veteran ERG, UT Dallas Young Professionals).

Rich with visual and performing arts venues, museum districts, professional and semi-professional athletics teams, botanical gardens, accessible trails and so much more, the Dallas-Fort Worth (DFW) metroplex has something for everyone to explore. UT Dallas partners with regional higher education institutions and school districts and with the Richardson Innovation Quarter (Richardson IQ), a major hub for innovation, entrepreneurship, and educational activities.

Equal Employment Opportunity/Affirmative Action

The University of Texas at Dallas is committed to providing an educational, living and working environment that is welcoming, respectful, and inclusive of all members of the university community. The University prohibits unlawful discrimination against a person because of their race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin, age, disability, genetic information, or veteran status.

The University of Texas at Dallas is an equal opportunity/affirmative action university.
Minimum Education and Experience
An earned graduate degree appropriate to the academic discipline and a record of productivity and professional achievement.

Preferred Education and Experience
A PhD in Computer Science, Software Engineering, or a closely related computational sciences discipline.
Essential Duties and Responsibilities
Demonstrate a commitment to teaching excellence;
Prepare and teach undergraduate and/or graduate classes;
Contribute assessment information and data as requested;
Mentor and/or advise undergraduate and/or graduate students;
Establish and/or continue an independent line of research;
Continue to expand professional influence in the academic discipline through research and/or publication;
Engage in service within the academic unit, the university, and the profession as appropriate based on teaching and research constraints;
Teach up to three (3) classes each academic year.